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investigated is the seasonal rainfall predictive potential of the early season ITF latitude, and the .... climate change of the last half of the twentieth century (Fig.
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AMERICAN METEOROLOGICAL SOCIETY Journal of Climate

EARLY ONLINE RELEASE This is a preliminary PDF of the author-produced manuscript that has been peer-reviewed and accepted for publication. Since it is being posted so soon after acceptance, it has not yet been copyedited, formatted, or processed by AMS Publications. This preliminary version of the manuscript may be downloaded, distributed, and cited, but please be aware that there will be visual differences and possibly some content differences between this version and the final published version. The DOI for this manuscript is doi: 10.1175/2010JCLI3277.1 The final published version of this manuscript will replace the preliminary version at the above DOI once it is available.

© 2010 American Meteorological Society

Variability of InterTropical Front (ITF) and Rainfall over West African Soudano-Sahel

by

M. Issa Lélé & Peter J. Lamb

Cooperative Institute for Mesoscale Meteorological Studies and School of Meteorology The University of Oklahoma Norman, Oklahoma 73072

Corresponding Author: Professor Peter J. Lamb, CIMMS, The University of Oklahoma, Suite 2100, 120 David L. Boren Boulevard, Norman, OK 73072-7304 E-Mail: [email protected]

Revised Version Submitted to Journal of Climate

February 2010

ABSTRACT

The InterTropical Front (ITF) is a fundamental feature of the atmospheric circulation over West Africa. It separates the wedge of warm moist southwesterly monsoon flow off the tropical Atlantic from much hotter and very dry northeasterly wind from the Sahara Desert. Here, we analyze daily temperature, humidity, and rainfall data for 1974-2003 to document the northward advance and southward retreat of the ITF between boreal spring and autumn, and assess its role for Soudano-Sahel (10˚-20˚N) rainfall. Using largely dekadal (10-day) and monthly resolutions, analyses are performed for the 30-year average seasonal time-scale and sets of extreme years, with a major focus on concurrent monthly ITF-rainfall relations. Also investigated is the seasonal rainfall predictive potential of the early season ITF latitude, and the secular variation of ITF latitude-weather system-rainfall associations during 1974-2003. The northward advance of the ITF across the Soudano-Sahel from April to early August is relatively slow, averaging 0.8˚ latitude dekad-1 (8.8 km d-1). The southward ITF retreat between mid-August and mid-November is almost twice as fast, averaging 1.4˚ latitude dekad-1 (15.5 km d-1). Coupled with the ITF advance, the monsoon rainbelt migrates northward and intensifies. However, its northern boundary (1 mm d-1 monthly average isohyet) lags 100-250 km south of the ITF, while the most societally useful rainfall (> 3 or 4 mm d-1 monthly average) generally occurs more than 400 km south of the ITF. There, the monsoon wedge is thickest and horizontal velocity and moisture convergence maximize in a regional ITCZ. The rapid ITF retreat during September-October is preceded by a similar rainbelt displacement. During both ITF advance and retreat, Soudano-Sahel rainfall is positively related to ITF latitude. The association is strongest during the early (April-June) and late (October) rainy season months (linear correlation, r = +0.74 to +0.81), when the ITF is located to the south and rainfall is low. It 2

is weaker during the July-September rainy season core when the ITF is furthest north (r = +0.50 to +0.58). This concurrent rainfall dependence on ITF latitude is established further by contingency analyses for the 30-year study period and investigation of several extremely dry and wet individual seasons. The April ITF latitude anomaly is a moderately consistent indicator of the subsequent ITF latitude and associated rainfall anomaly through the first core rainy season month (July). This seasonal prediction potential does not persist into the rainy season peak (August), when the concurrent ITF-rainfall relationship is weakest (r = +0.50), the monsoon wedge is thickest, and rain-producing mesoscale dynamical processes are developed fully. However, because the ITF tends to retreat early (late) in seasons when it advanced early (late), the April ITF latitude specification of the September-October ITF latitude and rainfall (negative) is almost as consistent that for July (positive). The secular variation of ITF latitude during 19742003 strongly influenced mesoscale weather system and rainfall variability on decadal timescales.

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1. Introduction For at least 65 years, the InterTropical Front (ITF) has been recognized as a fundamental feature of the atmospheric circulation over West Africa (Hamilton and Archbold 1954, Eldridge 1957, Hare 1977 but first appeared in 1943). The ITF is a west-east oriented quasi-stationary discontinuity that separates the warm and moist southwesterly monsoon flow off the tropical Atlantic from the much hotter, very dry, and frequently dust laden northeasterly Harmattan air from the Sahara Desert. At the surface, the wind direction discontinuity is characterized by pronounced temperature and humidity gradients that migrate seasonally northward then southward, lagging somewhat the zenith angle of the sun in the northern tropics. Between the surface and about 700 hpa, the ITF slopes upward to the south at inclinations between 1:100 and 1:400 (Hastenrath and Lamb 1977; Hastenrath 1991, pp. 166-174 ) and is the upper boundary of the merdionally migrating wedge of monsoon air. The coincident zones of maximum horizontal velocity and moisture convergence and rainfall that are the West African manifestations of the InterTropical Convergence Zone (ITCZ) occur a few hundred kilometers south of the ITF, where the monsoon wedge is deeper. Today, the ITF is considered important for not only the seasonal-to-interannual climate variability of West Africa, but also for the incidence of the region’s most serious and vectorborne infectious diseases (malaria, meningitis) and its desert locust plagues that can devastate pastures and crops. Much remains to be learned about the terrible diseases of malaria and meningitis. However, it is clear that meningitis outbreaks occur in the harsh, dry conditions north of the ITF (Moore 1992, Molesworth et al. 2003, Sultan et al. 2004, 2005, Thomson et al. 2006) and that malaria infections in individuals originate in the warm and moist environment south of the ITF (Breman et al. 2001, 2004).

Furthermore, the equatorward retreat of the ITF

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occasionally is accompanied by a massive southward migration of desert locusts that breed near the ITF (Drake and Farrow 1988, Tipping 1995, Roffey and Magor 2003, Maiga 2005). This study uses daily temperature, humidity, and rainfall data for the April-October periods of 1974-2003 to document the northward advance and southward retreat of the ITF across the West African Soudano-Sahel zone (10˚-20˚N), and to assess the relation of rainfall patterns there to the ITF migrations. These analyses are performed for the 30-year average seasonal time-scale and sets of extreme years. The major focus is on concurrent ITF-rainfall relationships within the April-October rainy season. However, we also explore whether early season (April-May) anomalies in ITF advance predict the wetness of subsequent months, including the July-September core of the West African monsoon, and similarily assesses the predictability of the timing of the ITF retreat. Finally, we document the secular variation of these associations during 1974-2003. This paper complements Bell and Lamb (2006), which used daily raingauge data for 1950-98 to document the variability of West African Soudano-Sahel mesoscale convective weather systems (MCWSs) during that period. Here, we add a key aspect of the regional circulation context to the understanding of that MCWS variability. The regional climate motivation for this investigation was substantial. In particular, over the 30 years since the Sahel drought began to emerge as the world’s most pronounced regional climate change of the last half of the twentieth century (Fig. 1; see also Bell and Lamb 2006), there has been debate over the role of the ITCZ/ITF latitude for that rainfall anomaly. Using a range of regional atmospheric circulation evidence, but not formal West African ITCZ/ITF delineation, most early studies suggested that Soudano-Sahel drought (rainfall abundance) was linked to a reduced (an enhanced) northward excursion of the ITCZ/ITF (e.g., Winstanley 1973a,b; Kraus 1977a,b; Glantz 1977; Lamb 1978a,b, 1983; Hastenrath 1984). Further indirect

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support for this positive dependence of Soudano-Sahel rainfall on ITCZ/ITF latitude emerged from diverse subsequent studies (e.g., Hastenrath 1990, 2000, Lamb and Peppler 1991, 1992, Janicot 1992 a,b, Fontain and Janicot 1992, Palmer et al. 1992, Kapala et al. 1998, Camberlin et al. 2001, Adejuwon and Odekunle 2004).

Conversely, other papers did not support this

relationship, suggesting or implying that the ITCZ/ITF latitude was not necessarily a major determinant of Soudano-Sahel seasonal rainfall (e.g., Miles and Folland 1974, Tanaka et al. 1975, Nicholson 1980, 1981, 2008, Dennett et al. 1985, Citeau et al. 1989, Le Barbé and Lebel 1997, Grist and Nicholson 2001, Nicholson and Grist 2001, 2003). Again, very few of these studies involved formal West African ITCZ/ITF delineation. Until recently, the only direct and focused investigation of possible ITF latitude control on Soudano-Sahel rainfall coincided with, but understandably did not recognize, the onset of the above Soudano-Sahel drought conditions (Ilesanmi 1971). However, this study was confined to Nigeria during 1961-65, for which it found a statistically significant positive ITF latitude-rainfall relationship on monthly and annual time-scales. Our present much larger inquiry spans almost all of the West African Soudano-Sahel for 1974-2003 and treats time-scales extending from 10-day to multidecadal. 2. Data and methods a. Rainfall data Daily rainfall totals for the April-October periods of 1974-2003 are used for 82 stations in the Soudano-Sahel zone (approximately 10˚-20˚N) between 12˚W-24˚E (Fig. 2, Table 1). This data set was distilled from digitized records obtained for 111 stations. Most of these data were provided by the Directions de la Météorologie Nationales/National Weather Services (DMNs/NWSs) of Mali, Burkina Faso, Ghana, Benin, Niger, Nigeria, and Chad. 6

DMN/NWS

practices caused the shorter durations of the data sets for Nigeria (lack of digitization) and Chad (lack of observations due to political unrest). For Nigeria, daily totals also were obtained for additional stations used in Tarhule and Woo (1998). The necessary daily data were not available for the westernmost Soudano-Sahel nation (Senegal), for which the ITF anyhow is less well defined because of the maritime influence of the northeast Trades over the adjacent Atlantic Ocean. All data were quality controlled, with values beyond physically reasonable limits being excluded. The majority of the station records were incomplete, with considerable variation in the length of continuous observations and the distribution of gaps in the records. Since no attempt was made to estimate missing values, the 82 stations selected had records that were the most complete and seemingly most reliable (Table 1). b. Temperature data Digitized daily minimum temperature (Tmin) data for the April-October periods of 19742003 were obtained from the same DMNs/NWSs as the daily rainfall totals, but only for synoptic stations which reduced the original number of stations involved to 83 (Table 1). Also, only three years of these data could be obtained from the Nigerian Meteorological Department because of that country’s lack of digital daily data. After applying the same quality control and station selection procedures as for the above rainfall data, the final Tmin data set was for 62 stations (Fig. 2, Table 1). The lack of digitized daily temperature and (see next subsection) relative humidity data prior to 1974 was the reason the study period started in that year.

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c. Relative humidity data A daily maximum relative humidity (RHmax) data set was developed for the same time periods and 62 stations as the Tmin data, using identical digitized sources and procedures (Fig. 2, Table 1). Comparison of this data set with its Tmin counterpart confirmed that these diurnal cycle extremes generally are coincident or occur within an hour of each other early in the morning (0500-0700 local time), as was expected. d. Dew point temperature computation We calculated dew point temperature (Td) from the above Tmin and RHmax data, because the Td data available for the study region (generally nomogram derived) had not been digitized. Several empirical equations are available to convert RH and T to Td. Here, for each station-day, the Td corresponding to the Tmin and RHmax was computed using the standard U.S. Advanced Weather Interactive Processing System (AWIPS) empirical algorithm for Td estimation (http://meted.ucar.edu/awips/validate/dewpoint.htm).

This calculation involved

several steps. First, the saturation vapor pressure (es) corresponding to the Tmin was computed using an integrated form of the Clausius-Clapeyron equation. Second, the resulting es was used with the RH max to obtain the corresponding vapor pressure (e). Finally, this in the calculation of

using the AWIPS empirical formula.

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was employed

It was not possible to use the basic Clausius-Clapeyron equation to calculate es because it required station pressure data that were not available for most stations. However, in a validation of the integrated Clausius-Clapeyron equation that we performed for the study region, the resulting hourly Td estimates for April-October 2004 at Niamey (Niger, Figs. 2 and 3) essentially were identical to values obtained from the basic Clausius-Clapeyron equation. e. ITF delineation Following Eldridge (1957) and Ilesanmi (1971), we use the 15˚C Td isodrosotherm to delineate the surface ITF. This criterion is in widespread operational use in West Africa, often in combination with a zero meridional wind component criterion. That hybrid delineation also has been adopted operationally by the Africa Desk of the NOAA/NWS Climate Prediction Center (httl://www.cpc.ncep.noaa.gov/products/fews/ITCZ/itcz.shtml), the results of which are used in a minor way in Section 3b. Although the zero meridional wind criterion has been used in research (e.g., Hastenrath 1990, 2000; Grist and Nicholson, 2001; Sultan and Janicot 2003) to locate the ITF adjacent to and over West Africa, including when equated with the ITCZ, we decided not to employ it here to delineate the West African surface ITF. This decision reflected concerns about the representativeness of surface wind observations and the greatly increased data and data processing requirements for this less reliable indicator. The first step in the surface ITF delineation was the calculation of individual station Td averages for each dekad (10- or 11-day period) during April-October 1974-2003, for which the final dekads of May, July, August, and October included 11 days. These station dekadal Td averages then were used to interpolate the spatial position of the 15˚C isodrosotherm for each individual dekad, via a kriging (Cressie 1991, pp. 119-134) isoplething algorithm in the SURFER software package (http://www.goldensoftware.com). 9

The northward and then

southward progression of this isodrosotherm between April-October indicated the ITF’s advance and retreat during each season. Further averaging of the individual station dekadal Td means across 1974-2003, and then application of the same interpolation procedure, gave the 30-year climatological pattern of ITF migration on the dekadal time-scale. Comparison of the 1974-2003 spatial patterns of ITF location and rainfall amount was performed on a monthly basis. The long-term average monthly ITF position was established using the above interpolation procedure after averaging the individual station Td values for the three dekads of each month. ITF delineation likely was less precise north of 16˚N, because of the reduced number of Tmin and RH stations there (Fig. 3). Similarly, dekadal station rainfall totals (Fig. 2) for each month were averaged over the 30 years, from which isohyetal patterns of daily rainfall rate were produced using the same isoplething algorithm. f. Statistical ITF-rainfall associations The statistical relationships between time series of ITF latitude and rainfall amount were assessed for a range of time-scales -- dekadal, monthly, July-September rainy season core, and the entire April-October season. Results were obtained for the study region as a whole (10˚20˚N/12˚W-24˚E; Fig. 2), after area- and time-averaging was performed for both parameters as indicated next. For the ITF latitude for each dekad, a value first was estimated for each 4˚ longitude strip (delineated in Fig. 2) using the above kriging interpolation algorithm. The nine 4˚-strip values then were averaged to give a dekadal ITF latitude representative of the entire 12˚W-24˚E sector. The resulting 1974-2003 time series of dekadal ITF latitude positions provided the basis for the analyses presented in Section 3. To address the time-scale dependence issue, time-averaging of the values in this dekadal time series transformed it into additional time series with monthly and 10

seasonal resolutions. Also, averaging of the dekadal time series across years produced mean seasonal cycles of ITF latitude for sets (composites) of six very WET and six very DRY years and for the entire 1974-2003 period. The same procedure was used to generate the time series and mean seasonal cycles of area-averaged rainfall totals for the entire 10˚-20˚N/12˚W-24˚E region, using a different initial step. That initial step involved spatial averaging of the dekadal rainfall totals for the stations in each 4˚ longitude strip (Fig. 2). This yielded the dekadal 4˚-strip rainfall totals that subsequently were processed in the same manner as the above 4˚-strip ITF latitude estimates to produce the required area-averaged time series and seasonal cycles of rainfall amount. The averaging of station totals rather than normalized station departures (often performed because of the strong northward rainfall gradient) was prompted by Bell and Lamb (2006) obtaining essentially the same results for this region when using both approaches. However, very limited use also is made of time series of area-averaged normalized station departures. Statistical associations between the above time series of ITF latitude and rainfall amount are established through correlation analysis, comparison of patterns for individual extreme years and the 6-year composites of such years, and use of contingency tables. Following Bell and Lamb (2006), several approaches are employed to estimate significance levels and confidence limits for the correlation coefficients and extreme year/composite comparisons, respectively. For correlation coefficients, the standard two-tailed Students t-test (Wilks 2006, pp. 131-135) is used to assess their statistical significance. The Student’s t distribution also is exploited to attach confidence limits to 1974-2003 dekadal means against which individual year values and composite averages are compared (Keeping 1995, pp. 183-184). Further, standard deviations are provided for the dekadal mean values that contribute to the 6-year composite dekadal averages.

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3. Results a. Spatial ITF and rainfall patterns Fig. 3 documents the long-term (1974-2003) average northward advance and southward retreat of the ITF on the dekadal time-scale for the entire West African Soudano-Sahel rainy season. The northward advance across the Soudano-Sahel begins in early April, by which time the ITF has migrated to north of 10˚N (Fig. 3a) from its late winter position near the Gulf of Guinea coast. This advance proceeds quite rapidly in April to reach 13˚-14˚N, except across Chad in the extreme east. However, the ITF’s progress is slower in May-June, especially in the eastern half of the study region across Niger and Chad. As a result, by the end of June the ITF has a distinct west-northwest to east-southeast (WNW-ESE) orientation. This alignment is enhanced as the ITF proceeds more rapidly northward during July, when the Saharan surface heat low intensifies, to reach its most poleward location (~ 20˚N) in early August. However, the absence of data from Mauritania and Algeria may have affected slightly the Julu-August ITF orientation in northwestern Mali and northwestern Niger. Evidence of the ITF’s distinctive WNW-ESE tilt during the July-September rainy season core first was noted by Eldridge (1957) and later by Ilesanmi (1971). The same alignment also characterizes the long-term annual average isohyetal pattern for the region (e.g., Nicholson 1980, Fig. 2). Overall, the northward ITF advance is relatively slow, averaging only 0.8˚ latitude per dekad (8.8 km d-1). The southward ITF retreat across the Soudano-Sahel occurs almost twice as fast, taking place between mid-August and mid-November (Fig. 3b) at an average rate of 1.4˚ latitude per dekad (15.5 km d-1). Through October, this withdrawal proceeds most rapidly in the western half of the study region, which returns the ITF to a near zonal orientation. By late November, the ITF has retreated south of 10˚N at all longitudes in Fig. 3. Ilesanmi (1971) 12

obtained similar rates of northward advance and southwest retreat in his limited 1961-65 ITF study for Nigeria. This ITF evidence of West African monsoon development across the Soudano-Sahel being much slower than its rapid demise is consistent with the findings of Bell and Lamb (2006, Fig. 7) concerning the size and intensity of the monsoon’s mesoscale convective weather systems (MCWSs) in the present study region. The growth of these distinctive MCWSs proceeds slowly and monotonically through late August, and their rainfall rates maximize slightly earlier in earlyto-mid-August. Thus, the peak MCWS development continues 1-2 dekads after the ITF starts to retreat southward. Both MCWS size and intensity then decrease rapidly following these maxima, to the point where their late September values are similar to those of early June. Segele and Lamb (2005) found that the counterpart Kiremt monsoon for the extreme east of the SoudanoSahel zone (Ethiopia) also withdraws equatorward approximately twice as fast as it previously advanced northward. Also consistent with these results is Camberlin and Diop’s (2003) finding that the interannual variability of the rainy season onset in Senegal (extreme west of SoudanoSahel Zone) exceeds that of its cessation dates. The reasons for this fundamental seasonal asymmetry of the entire Soudano-Sahel monsoon system, from the Atlantic Ocean to the Red Sea, have not been elucidated and invite numerical model experimentation. The spatial relationship of West African Soudano-Sahel rainfall to the ITF migration is shown in Fig. 4 on the monthly mean time-scale for 1974-2003. From April through August, the rain belt advances northward and intensifies, but its northern boundary (1 mm d-1 isohyet) generally lags 100-250 km south of the ITF position through July, especially across Mali. This separation more than doubles in Niger and western Chad in August, when it likely is even larger in Mali. Moreover, beginning in May the most societally useful rain rates (> 3 or 4 mm d-1)

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generally occur more than 400 km south of the ITF. Those rains increase strongly further southward in July-August, to more than 10 mm d-1 in the extreme south. The rapid equatorward retreat of the ITF during September-October is preceded by a similar displacement of the rain belt. By October, rain rates exceeding 3 mm d-1 have migrated south of 10˚N, from where they do not return until May. The isohyetal patterns in Fig. 4 generally exhibit the WNW-ESE orientation of the ITF. b. Concurrent statistical ITF-rainfall associations The long-term (1974-2003) average concurrent dependence of Soudano-Sahel rainfall amount on ITF latitude is documented in Figs. 5-8 and Tables 2 and 3. These displays employ a range of time-scales and seasonal periods, for which the rainfall and ITF data were processed as described in Section 2f. All analyses are for the study region as a whole. Figs. 5 and 6 use the three dekadal averages for each month to assess the seasonal variation of the ITF latitude-rainfall association. The statistical significance of all linear correlations obtained is high. This relationship is positive for all months, indicating that rainfall increases with the extent of anomalous northward ITF penetration, irrespective of the rainy season stage. However, the strength of the association has a pronounced seasonal cycle. It is very strong in the early (April-June) and late (October) rainy season months (Fig. 5), when the ITF is located further south and rainfall is much lower than during the intervening rainy season core. The correlations for May, June, and October are between +0.78 and + 0.81, which are highly statistically significant, and the April correlation is almost as strong (+0.74). Also, when the seasonal cycles are removed from the time series, these correlations are weakened only slightly for May, June, and October (6-10% variance reductions, Fig. 5), and not excessively for April (17%).

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This ITF latitude control on rainfall amount is reduced markedly during the JulySeptember rainy season core, when the correlations are in the +0.50 to +0.58 range (Fig. 6) but remain statistically significant. The association is weakest and of lowest statistical significance in August, when the ITF is furthest north (and least precisely located due to reduced station density), the southwest monsoon layer is thickest, and the resulting rainfall maximizes. This reduced ITF influence during July-September presumably stems from the thicker monsoon layer permitting a wider range of mesoscale dynamical processes to contribute to the development (or supression) of the region’s distinctive MCWSs. It is another finding that should help focus numerical model experimentation. Note that the removal of the seasonal cycles from the time series did not reduce the August correlation in Fig. 6. The weakening of the July and September correlations by this process primarily resulted from varability at the very start (July, first dekad) and end (September, third dekad) of the rainy season core. The above monthly correlations obtained using raw dekadal rainfall totals (Figs. 5 and 6) essentially were duplicated when those rainfall data were subject to additional processing (Fig. 7). This sensitivity analysis was prompted by the well known skewness of short-term rainfall totals and its possible effects on statistical analyses of such data (e.g., Richman and Lamb 1985, and references therein). The additional processing produced time series of (i) log10 transformed station totals and (ii) scores of the first unrotated Principal Component (PC) of the raw station totals. However, except for the April PC correlation, the resulting curves in Fig. 7 follow closely that derived from the raw rainfall totals. While use of ITF latitudes obtained from 1988-2003 operational analyses by the NOAA/NWS/NCEP Climate Prediction Center (Section 2e) produced higher monthly correlations with raw rainfall for June-September (by 0.05-0.17) than when the raw rainfall-present ITF correlations were recalculated for the same period, the August minimum correlation remained (Fig. 7). 15

Tables 2 and 3 employ a contingency approach to provide further insight into the concurrent positive ITF latitude-rainfall amount relationship on the monthly time-scale. The three dekadal values of each paramenter were averaged for each month, and then the resulting monthly means were ranked within 1974-2003 and stratified into terciles. The results in Table 2 emphasize further the strength of the associations for the early (April-June) and late (October) rainy season months. Particularly prominent are the high probabilities (64.44-71.11%) that the ITF latitude tercile specifies the corresponding rainfall tercile (“Probability of Detection”, PoD), and the extremely low frequencies (0-6.66%) of an extreme category rainfall amount coinciding with an opposite extreme category ITF latitude (a “Two-Category Error”, TCE). Equally important, however, is the further support that Table 3 provides for the existence of the positive ITF latitude-rainfall amount relationship during the July-September rainy season core, despite the lower correlations obtained for this period (Fig. 6). The PoDs are in the 53.3358.89% range, which is only about 10% lower than for April-June and October. For July and September, TCEs occurred only for 5.00-6.66% of months. However, TCEs were more frequent (18.33%) for the maximum rainfall month of August, when the minimum correlation also occurred (Fig. 6). The ITF latitude-rainfall amount relationship is quantified further in Fig. 8 on seasonal time-scales. For the July-September rainy season core as a whole, the association between the raw time series is much stronger when the two parameters are averaged over dekadal periods (Fig. 8a, r = +0.67) than when monthly means are used (Fig. 8b; r = +0.47). However, removal of the seasonal cycles from these time series reduced the decadal correlation substantially (+0.41), whereas the monthly correlation weakened only slightly (+0.45). The dekadal-based raw July-September correlation of +0.67 also exceeds the counterpart values obtained when these months were treated separately (+0.50 to +0.58, Fig. 6). Furthermore, Fig. 8b, c suggests that use 16

of ITF averages and normalized rainfall departures for the entire April-October rainy season does not weaken the relationship beyond that obtained for July-September from monthly values. In fact, the April-October seasonal correlation based on the average normalized rainfall departure for the study region (+0.66, Fig. 8c) is essentially the same as the July-September correlation based on decadal rainfall totals (+0.67, Fig. 8a).

c. Analysis of extreme years This section examines the dekadal time-scale dependence of Soudano-Sahel rainfall amount on ITF latitude for the six wettest and six driest July-September rainy season cores in the study region during 1974-2003. Table 4 quantifies the rainfall departures for those years. Fig. 9 documents the relationship for the seasons characterized by the region’s two driest (1984, 1983) and two wettest (1999, 1994) July-September cores during 1974-2003. Note that 1983 and 1984 were the two driest entire Soudano-Sahel rainy seasons for all of West Africa since 1941, whereas 1999 and 1994 are not nearly as wet as many years during the 1950s (Fig.1). Also, the two drought years differed substantially concerning both their basin-scale sea surface temperature (SST) causation and resulting regional West African rainfall anomaly patterns. During 1983, for which the key SST forcing emanated from the pronounced tropical Pacific El Niño event (Lamb and Peppler 1992), the drought extended from the Soudano-Sahel equatorward to the Gulf of Guinea coast (Ward 1998, Nicholson and Grist 2001, Nicholson and Webster 2007, Nicholson 2008). In contrast, the 1984 Soudano-Sahel drought was associated with a classic tropical Atlantic dipole SST anomaly pattern (negative/positive departures north/south of ~10˚N; Lamb and Peppler 1992) and a dipole West African rainfall anomaly

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pattern in which Gulf of Guinea rainfall was above average (Ward 1998, Nicholson and Grist 2001, Nicholson and Webster 2007, Nicholson 2008). For the study region, the 1984 southward displacement of the ITF was especially pronounced from late June through late August (2˚-3˚ latitude), when rainfall was reduced substantially to up to half of the 1974-2003 average (Fig. 9). These anomalies were weaker during 1983, except from mid-August to early September. Thus, the southward ITF displacement and associated Soudano-Sahel rainfall suppression in the study region were more pronounced in 1984 when the SST forcing was more immediate and the drought did not extend further south. For the wettest season of 1999, the ITF and rainfall departures generally are the opposite of 1983, and not as sustained or (except for a dekad or two) as pronounced as for the 1984 drought (Fig 9). During the other wet year (1994), the northward ITF displacement and associated rainfall enhancement were delayed until early August, when they were especially pronounced, after which these anomalies prevailed through the rest of the season except for late September. The above dry-versus-wet contrasts were reinforced when seasonal cycles of ITF latitude and rainfall were composited for the full sets of six DRY and six WET years in Table 4. Composite results are presented in Figs. 10 and 11. The composite patterns in Fig. 10 (left panels) are very similar to, but less pronounced than, those for the most extreme seasons in Fig. 9. For the DRY composite, the southward ITF displacement persists consistently through June-August at close to 1˚ latitude and also strongly characterizes mid-to-late-October (Fig. 10). The associated rainfall deficit increases from mid-June to a late August maximum of ~20 mm dekad-1 , after which it returns to near average. For the WET composite, the northward ITF displacement is delayed until July and persists through October with 1˚ latitude maxima. The associated rainfall excess also extends across July-October, with early and late August maxima of ~15 mm dekad-1.

18

The WET-minus-DRY composite representation in Fig. 10 emphasizes the August through midSeptember rainfall difference, a more extended period of ITF contrast that spans mid-July through mid-September, and a mid-to-late October latitude separation that is associated with only a small difference in total rainfall because of the low rainfall at this season end (Fig 4). The above DRY (WET) rainfall anomalies are documented further in Fig. 11 by pronounced southward (northward) displacements of key isohyets, the latitudinal separation of which maximizes between 2˚-4˚. d. Seasonal predictionability The moderate-to-strong concurrent ITF latitude-rainfall relations established in Sections 3b,c prompted investigation of whether the early season ITF latitude can be used to predict core and late season Soudano-Sahel rainfall. This inquiry necessarily also involved documentation of the seasonal persistence of ITF latitude anomalies. Results are presented in Fig. 12 and Table 5. There are three major outcomes of these predictability assessments. First, the early season ITF latitude is a moderately consistent indicator of the ITF latitude and associated rainfall in the first core season month of July. In particular, Fig. 12 shows that the April ITF latitude has a correlation of +0.55 (+0.53) with the July ITF latitude (rainfall), which is surprisingly close to the concurrent July ITF latitude-rainfall correlation (+0.56, Table 2, Fig. 6). Table 5 indicates that the associated PoDs of the April ITF latitude tercile specifying the corresponding July ITF latitude (rainfall) tercile is 48.89% (42.22%), and the likelihood of TCEs is only 6.67% (10.00%). Most of these values also are close to their concurrent July ITF latitude-rainfall counterparts of 58.89% and 5.00% (Table 3). Interestingly, these July predictability results based on the April ITF latitude are slightly stronger than those derived from the more immediately preceding May and June ITF latitudes (e.g., Fig. 12). 19

Thus, April ITF latitude and associated rainfall anomalies tend to persist through July. However, such persistence generally is not sustained into the peak rainy season month of August, which is the second principal outcome of this predictability assessment. The correlations of August ITF latitude and rainfall with the ITF latitude during preceding months all are near zero (Fig. 12). Furthermore, Table 5 indicates that the PoDs of the April ITF latitude specifying the corresponding August ITF latitude (31.11%) and rainfall (33.56%) are around the climatological value (33.33%), with TCEs occurring 40.00% and 36.67% of the time, respectively. In fact, these PDOs (TCEs) are slightly smaller (larger) than equivalents computed using the opposite matrix diagonals (extreme terciles) in Table 5. Similar PoD and TCE percentages were obtained when the May ITF latitude tercile was used to predict the August ITF latitude and rainfall (not shown). So, not only is the concurrent ITF latitude control on rainfall weaker for August than for all earlier months, but the August ITF latitude and rainfall often are uncoupled from the ITF latitude anomaly sustained to that point in the rainy season evolution. This further uniqueness of August is another finding that invites numerical model experimentation. The third major outcome of this predictability assessment is that the above independence of the August ITF latitude and rainfall from the early season ITF latitude often is part of a JulyAugust-September transition to the opposite ITF latitude anomaly. This transition reflects a moderate tendency for the ITF to retreat southward early (late) in seasons when it advanced northward early (late). For example, Fig. 12 shows that the correlation of the April ITF latitude with (i) the September ITF latitude (rainfall) is -0.31 (-0.50) and (ii) the October ITF latitude (rainfall) is -0.50 (-0.23). Consistent with this situation, the PoDs of the April ITF latitude tercile specifying the corresponding September and October ITF latitude (rainfall) terciles are only 18.89% (16.67%) and 22.22% (24.44%), respectively, and the associated TCEs are 48.33% (55.00%) and 50.00% (43.33%) (Table 5). The July-August-September transition to the opposite 20

ITF latitude anomaly is sufficiently frequent that use of the April ITF latitude to predict September and October ITF latitudes and rainfalls gave much larger PoD-equivalents (40.0046.67%) and much smaller TCE-equivalents (10.00-21.67%) when they were computed using the opposite matrix diagonals and opposite extreme terciles, respectively, in Table 5. As noted above, the August results in Table 5 show a slight tendency for this transition to begin in that month. Thus, taking into account this mid-season ITF latitude anomaly transition, the April ITF latitude specification of the September-October ITF latitude and rainfall is almost as consistent as that for July (Table 5). Similar correlations and PoD/TCE percentages were obtained when May ITF latitude was used to predict the September and October ITF latitude and rainfall (not shown). Again, numerical model experimentation is needed to explore the causation and predictability of this further distinctive ITF seasonal cycle behavior. e. Secular variation The pronounced multidecadal variation of West African Soudano-Sahel rainfall since the early 1950s now has been recognized for about 20 years and was documented in Fig. 1. Very recently, Bell and Lamb (2006) showed that consistent multidecadal variations characterized the size and intensity of the mesoscale convective weather systems (MCWSs) that produced this secular rainfall pattern. This section places the 1974-2003 ITF variability in the same multidecadal context. Fig. 13 juxtaposes 3-year running mean versions of (i) time series of the study region’s April-October mean ITF latitude and rainfall (panel a, from Fig. 8c) and July-September dekadal ITF latitude and rainfall (panel b, from Fig. 8a) with (ii) Bell and Lamb’s (2006, Fig.15) time series of June-September average MCWS size and intensity indices for three sub-areas of the 21

present study region (panels c-e). Collectively, these diverse representations show that the severe drought conditions of the mid-1980s occurred when the ITF was located furthest south, and MCWS size and intensity minimized after declining progressively since the mid-1950s. Then, for most of the period from the mid-1980s until the end of the MCWS time series (1998), the situation gradually reversed. The ITF showed a strong tendency to advance further north, MCWSs increased in size and intensity, and the resulting seasonal Soudano-Sahel rainfall recovered to the level of the late 1970s (but not yet the early 1950s, Fig. 1). The multidecadal associations between ITF latitude and MCWS size/intensity were particularly strong for Burkina Faso and Niger (Fig. 13d, e). 4. Summary and discussion This study paper completes a pair of papers dealing with the West African atmospheric conditions that were most immediately associated with the pronounced rainfall changes (especially severe drought) in the Soudano-Sahel Zone (10˚-20˚N) since the mid-1950s. Previously, Bell and Lamb (2006) documented the 1951-1998 variability of the westward propagating mesoscale convective weather systems (MCWSs) that deliver rain across the Soudano-Sahel Zone. Here, we added a key aspect of the regional circulation context to the understanding of MCWS and rainfall variability -- the 1974-2003 behavior of the InterTropical Front (ITF) that is the leading edge of the southwest monsoon flow into West Africa. In both papers, the focus was on identifying the final links in the teleconnection chain between globaland basin-scale sea surface temperature (SST) anomalies and Soudano-Sahel seasonal rainfall totals. This association with SST has been established strongly on interannual-to-multidecadal timescales (e.g., Lamb, 1978a,b, Folland et al. 1986, Palmer 1986, Lamb and Peppler 1992,

22

palmer et al. 1992, Ward 1998, Giannini et al. 2003, Hoerling et al. 2006, Nicholson and Webster 2007). Here, we analyzed daily temperature, humidity, and rainfall data for 1974-2003 to document the northward advance and southward retreat of the ITF between boreal spring and autumn, and assess its role for Soudano-Sahel rainfall. Using largely dekadal (10-day) and monthly resolutions, analyses were performed for the 30-year average seasonal time-scale and sets of extreme years, with a major focus on concurrent monthly ITF-rainfall relations. Also investigated was the seasonal rainfall predictive potential of the early season ITF latitude, and the secular variation of ITF latitude-MCWS-rainfall associations during 1974-2003. The northward advance of the ITF across the Soudano-Sahel from April to early August was shown to be relatively slow, averaging 0.8˚ latitude dekad-1 (8.8 km d-1). The southward ITF retreat between mid-August and mid-November is almost twice as fast, averaging 1.4˚ latitude dekad-1 (15.5 km d-1). Coupled with the ITF advance, the monsoon rainbelt migrates northward and intensifies. However, its northern boundary (1 mm d-1 monthly average isohyet) lags 100250 km south of the ITF, while the most societally useful rainfall (> 3 or 4 mm d-1 monthly average) generally occurs more than 400 km south of the ITF. There, the monsoon wedge is thickest and horizontal velocity and moisture convergence maximize in a regional ITCZ. The rapid ITF retreat during September-October was found to be preceded by a similar rainbelt displacement. During both ITF advance and retreat, Soudano-Sahel rainfall is positively related to ITF latitude. The association is strongest during the early (April-June) and late (October) rainy season months (linear correlation, r = +0.74 to +0.81), when the ITF is located to the south and rainfall is low. It is weaker during the July-September rainy season core when the ITF is furthest north (r = +0.50 to +0.58).

23

This concurrent rainfall dependence on ITF latitude was established further by contingency analyses for the 30-year study period and investigation of several extremely dry and wet individual seasons. The April ITF latitude anomaly was shown to be a moderately consistent indicator of the subsequent ITF latitude and associated rainfall anomaly through the first core rainy season month (July). However, this seasonal prediction potential does not persist into the rainy season peak (August), when the concurrent ITF-rainfall relationship is weakest (r = +0.50), the monsoon wedge is thickest, and rain-producing mesoscale dynamical processes are developed fully. Interestingly, it was found also that the ITF tends to retreat early (late) in seasons when it advanced early (late). Because of this situation, the April ITF latitude specification of the September-October ITF latitude and rainfall (negative) was almost as consistent that for July (positive). In keeping with the above findings, the secular variation of ITF latitude during 1974-2003 strongly influenced MCWS and rainfall variability on decadal time-scales. Several of the observational results obtained here invite further investigation, including through numerical simulation. Most fundamental is the pronounced asymmetry between the long-term average rates of seasonal ITF advance (very gradual) and retreat (almost twice as fast) across the Soudano-Sahel. Understanding of this basic difference surely will accelerate progress on the seasonal prediction of the societally unfavorable delayed onsets and abrupt cessations of Soudano-Sahel rainfall. Also requiring substantial inquiry is the relative “decoupling” between the crucial rainfall during the peak month (August) and (i) the concurrent ITF latitude and (ii) the ITF latitude during preceding months. As noted above, this reduced ITF influence presumably stems from the thicker monsoon layer during August permitting a wider range of mesoscale dynamical processes to contribute to the development (or suppression) of the region’s distinctive MCWSs. However, the key mechanisms involved remain to be elucidated. 24

Not unrelated to the foregoing issues is the seasonal prediction potential found to be offered by the April ITF latitude. This potential exists both for the May-July northward ITF and rainbelt advance (due to persistence of ITF latitude anomalies) and, to a lesser extent, the subsequent southward ITF and rainbelt retreat (because the ITF tends to retreat early/late in seasons when it advanced early/late). This situation highlights the need for understanding of the teleconnections and regional processes that influence the April ITF latitude and the persistence of ITF latitude anomalies throughout the rainy season. Interestingly, Slingo et al. (2008) documented that the Special Observing Period (SOP, 2006) of the African Monsoon Multidisciplinary Analysis (AMMA) Project (Redelsperger et al. 2006) had the following characteristics at the representative site of Niamey (located in Figs. 2, 3) -- (i) a northward ITF passage that was about a month later than the 1974-2003 average (May 5 versus first April dekad); (ii) May-July rainfall that was only 60% of the 1941-2000 mean; (iii) near-average peak season (August) rainfall; (iv) September-October rainfall that was only 53% of the 1941-2000 mean; and (v) a southward ITF passage that occurred in the vicinity of the 1974-2003 average time (October 29 versus last October dekad). Note that the 2006 monsoon sequence of (i)-(iii) was fully consistent with the seasonal prediction “model” outlined above, including the decoupling of August rainfall from the ITF and rainfall anomalies of previous months. However, after this August 2006 decoupling, there was no occurrence of the aforementioned tendency for a late ITF retreat/above average rainfall to follow the early season’s late ITF advance/below average rainfall. Instead, the ITF retreat occurred at about the average time and the accompanying rainfall was below average, principally because of extreme October dryness.

25

Nature thus has provided much potential for analysis of the uniquely detailed AMMA SOP 2006 observations to elucide the controls on/role of the seasonal ITF cycle within the West African monsoon system (e.g., Drobinski et al. 2009).

26

Acknowledgments. This paper is dedicated to the memory of Professor Anthony Slingo, under whose scientific leadership the ARM Mobile Facility (U.S. Department of Energy) was deployed in Niamey, Niger, throughout 2006 for the RADAGAST Project. The paper is a U.S. contribution to the multinational African Monsoon Multidisciplinary Analysis (AMMA) Project, of which RADAGAST was part. Data set development was funded by the International Activities Office of the U.S. National Weather Service. Dr. M.V. K. Sivakumar generously contributed a large set of daily rainfall data that he had constructed with great care while at ICRISAT-Sahel (Niamey). Professor Aondover Tarhule (The University of Oklahoma) also donated an important set of daily rainfall data. Other daily rainfall, temperature, and humidity data were provided by the Directions de la Météorologie Nationale/National Weather Services (DMNs/NWSs) of Mali, Burkina Faso, Benin, Niger, Nigeria, and Chad. It is a pleasure to acknowledge the critical support provided by the former Director-General of the African Centre of Meteorological Applications for Development (ACMAD, Mohammed Sadek Boulahya), the assistance of Michael A. Bell (International Research Institute for Climate and Society), the encouragement given by Professors Lance M. Leslie and Aondover Tarhule at The University of Oklahoma, and the constructive formal review of Professor Sharon E. Nicholson (Florida State University). The expert production of the manuscript at CIMMS by Ms. Luwanda Byrd was appreciated greatly. Additional funding was provided by NOAA Grant NA17RJ1227 through CIMMS.

27

REFERENCES Adejuwon, J. O., and T. O. Odekunle, 2004: Skill assessment of the existing capacity for extended-range weather forecasting in Nigeria. Int. J. Climatol., 24, 1249-1265. Bell, M. A., and P. J. Lamb, 2006: Integration of weather system variability to multidecadal regional climate change: The West African Sudan–Sahel Zone, 1951–98. J. Climate, 19, 5343–5365. Breman, J. G., 2001: The ears of the Hippopotamus: Manifestations, determinants, and estimates of the malaria burden. Amer. J. Trop. Med. Hyg., 64 (Suppl 1, 2), 1–11. Breman, J. G., M. S. Alilio, and A. Mills, 2004: Conquering the intolerable burden of malaria, what’s new, what’s needed: A summary. Amer. J. Trop. Med. Hyg., 71, 1-15. Camberlin, P., S. Janicot, and I. Poccard, 2001: Seasonality and atmospheric dynamics of the teleconnection between African rainfall and tropical sea-surface temperature: Atlantic vs. ENSO. Int. J. Climatol, 21, 973-1005. Camberlin, P., and M. Diop, 2003: Application of daily rainfall principal component analysis to the assessment of the rainy season characteristics in Senegal. Clim. Res., 23, 159-169. Citeau, J., L. Finaud, J. P. Cammas, and H. Demarcq, 1989: Questions relative to ITCZ migrations over the tropical Atlantic Ocean, sea surface temperature and Senegal River runoff. Meteorol. Atmos. Phys., 41, 181-190. Cressie, N. A. C., 1991: Statistics for Spatial Data. Wiley-Interscience Publications, New York, 900 pp. Dennett, M. D., J. Elson, and J. A. Rodgers, 1985: A reappraisal of rainfall trends in the Sahel. J. Climatol., 5, 353-361. Drobinski, P., S. Bastin, S. Janicot, O. Bock, A. Dabas, P. Delville, O. Reitebuch, and B. Sultan, 2009: On the late northward propagation of the West African summer monsoon in summer 2006 in the region of Niger/Mali. J. Geophys. Res., 114, D09108, doi.10.1029/2008JD0011159. Drake, V. A., and R. A. Farrow, 1988: The influence of atmospheric structure and motions on insect migration. Ann. Rev. Entomol., 33, 183-210. Eldridge, R. H., 1957: A synoptic study of West African Disturbance Lines. Q. J. Roy. Meteorol. Soc., 83, 303–314.

28

Folland, C. K., T. N. Palmer, and D. E. Parker, 1986: Sahel rainfall and worldwide sea surface temperatures. Nature, 320, 602-607. Fontain, B., and S. Janicot, 1992: Wind-field coherence and its variations over West Africa. J. Climate, 5, 512–524. Glantz, M., 1977: The value of a long-range weather forecast for the West African Sahel. Bull. Amer. Meteor. Soc., 58, 150–158. Giannini, A., R. Saravanan, and P. Chang, 2006: Oceanic forcing of Sahel rainfall on interannual to interdecadal time scales. Science, 302, 1027-1030. Grist, J. P., and S. E. Nicholson, 2001: A study of the dynamic factors influencing the rainfall variability in the West African Sahel. J. Climate, 14, 1337–1359. Hoerling, M. P., J. W. Hurrell, and J. Eischeid, 2006: Detection and attribution of twentiethcentury northern and southern African monsoon change. J. Climate, 19, 3989-4008. Hamilton, R. A., and J. W. Archbold, 1954: Meteorology of Nigeria and adjacent territory. Q. J. Roy. Meteol. Soc., 71, 231-264. Hare, F. K., 1977: Takoradi-Khartoum air route: General synoptic climate. Climatic Change, 1, 157-172. Hastenrath, S., and P., Lamb, 1977: Some aspects of circulation and climate over the eastern equatorial Atlantic. Mon. Wea. Rev., 105, 1019-1023. Hastenrath, S., 1984: Interannual variability and annual cycle – mechanisms of circulation and climate in the tropical Atlantic sector. Mon. Wea. Rev., 112, 1097-1107. Hastenrath, S., 1990: Decadal-scale changes of the circulation in the tropical Atlantic sector associated with Sahel drought. Int. J. Climatol., 10, 459-472. Hastenrath, S., 1991: Climate Dynamics of the Tropics. Kluwer Academic Publishers, Dordrecht, 448 p. Hastenrath, S., 2000: Interannual and longer term variability of upper-air circulation over the tropical Atlantic and West Africa in the boreal summer. Int. J. Climatol., 20, 1415-1430. Hoerling, M. P., J. W. Hurrell, and J. Eischeid, 2006: Detection and attribution of twentiethcentury northern and southern African monsoon change. J. Climate, 19, 3989-4008. Ilesanmi, O. O., 1971: An empirical formulation of an ITD rainfall model for the tropics: A case study of Nigeria. J. Appl. Meteor., 10, 882-891. Janicot, S., 1992a: Spatiotemporal Variability of West African Rainfall. Part I: Regionalization and typings. J. Climate, 5, 489–497. 29

Janicot, S., 1992b: Spatiotemporal variability of West African Rainfall. Part II: Associated surface and airmass characteristics. J. Climate, 5, 499–511. Kapala, A., H. Mächel, and H. Flohn, 1998: Behaviour of the centres of action above the Atlantic since 1881. Part II: Associations with regional climate anomalies. Int. J. Climatol., 18, 2336. Keeping, E. S., 1995: Introduction to Statistical Inference. Dover Publications, New York, 451 pp. Kraus, E. B., 1977a: Subtropical droughts and cross-equatorial energy transports. Mon. Wea. Rev., 105, 1009-1018. Kraus, E. B., 1977b: The seasonal excurtion of the Intertropical Convergence Zone. Mon. Wea. Rev., 105, 1052-1055. Lamb, P. J., 1978a: Large-scale tropical Atlantic surface circulation patterns associated with Subsaharan weather anomalies. Tellus, 30, 240-251. Lamb, P. J., 1978b: Case studies of tropical Atlantic surface circulation patterns during recent Sub-Saharan weather anomalies: 1967 and 1968. Mon. Wea. Rev., 106, 482-491. Lamb, P. J., 1983: West African water vapor variations between recent contrasting Subsaharan rainy seasons. Tellus, 35A, 198-212. Lamb, P. J., and R. A. Peppler, 1991: West Africa. Chapter 6 in Teleconnections: Linkages Between ENSO, Worldwide Climate Anomalies, and Societal Impacts. M. H. Glantz, R. W. Katz, and N. Nicholls, Eds., Cambridge University Press, 121-189. Lamb, P. J., and R. A. Peppler, 1992: Further case studies of tropical Atlantic surface atmospheric and oceanic patterns associated with Sub-Saharan drought. J. Climate 5, 476488. Le Barbé, L., and T. Lebel, 1997: Rainfall climatology in the HAPEX-Sahel region during the years 1950-1990. J. Hydrol., 188-189, 43-73. Maiga, I. H., 2005: Rôle du climat sur la dynamique des populations acridiennes au Sahel: Influence de la mousson sur l’ecologie du criquet Sénégalais. Proc. AMMA-CIRAD Workshop, CERAAS, Thiès, Sénégal. Miles, M. K., and C. K. Folland, 1974: Changes in the latitude of the climatic zones of the Northern Hemisphere. Nature, 252, 616. Molesworth, A. M., 2003: Environmental risk and meningitis epidemics in Africa. RESEARCH Emerging Infections Diseases, 9, 1287-1293.

30

Moore, P. S., 1992: Meningococcal meningitis in Sub-Saharan Africa – A Model for the epidemic process. Clin. Infect. Diseases, 14, 515-525. Nicholson, S. E., 1980: The nature of rainfall fluctuations in subtropical West Africa. Mon. Wea. Rev., 108, 473-487. Nicholson, S. E., 1981: Rainfall and atmospheric circulation during drought periods and wetter years in West Africa. Mon. Wea. Rev., 109, 2191-2208. Nicholson, S. E., 2008: The intensity, location and structure of the tropical rainbelt over West Africa as factors in interannual variability. Int. J. Climatol, 28, 1775-1785. Nicholson, S. E., and J. P. Grist, 2001: A conceptual model for understanding rainfall variability in the West Africa Sahel on interannual and interdecadal timescales. Int. J. Climatol., 21, 1733-1757. Nicholson, S. E., and J. P. Grist, 2003: The seasonal evolution of the atmospheric circulation over West Africa and equatorial Africa. J. Climate, 16, 1013–1030. Nicholson, S. E., and P. J. Webster, 2007: A physical basis for the interannual variability of rainfall in the Sahel. Q. J. Roy. Meteorol. Soc., 133, 2065-2084. Palmer, T. N., 1986: The influence of the Atlantic, Pacific, and Indian Oceans on Sahel rainfall. Nature, 322, 251-253. Palmer, T. N., C. Branković, P. Viterbo, and M. J. Miller, 1992: Modeling interannual variations of summer monsoons. J. Climate, 5, 399-417. Redelsperger, J.–L., C. D. Thorncroft, A. Diedhiou, T. Lebel, D. J. Parker, and J. Polcher, 2006: African Monsoon Multidisciplinary Analysis: An international research project and field campaign. Bull. Amer. Meteor. Soc., 87, 1739-1746. Richman M. B., and P. J. Lamb, 1985: Climatic pattern analysis of three- and seven-day summer rainfall in the central United States: Some methodological considerations and a regionalization. J. Clim. Appl. Meteor., 24, 1325-1343. Roffey, J., and J., I. Magor, 2003: Desert locust population dynamics parameters. FAO Desert Locust Technical Series No. AGP/DL/TS/30, Rome. Segele, Z. T. and Lamb, P. J., 2005: Characterization and variability of Kiremt rainy season over Ethiopia. Meteorol. Atmos. Phys., 89, 153-180. Slingo, A., N. A. Baharmal, G. J. Robinson, J. J. Settle, R. P. Allan, H. E. White, P. J. Lamb, M. Issa Lélé, D. D. Turner, S. McFarlane, E. Kassianov, J. Barnard, C. Flynn, and M. Miller, 2008: Overview of observations from the RADAGAST experiment in Niamey, Niger:

31

Meteorology and thermodynamic doi:10.1029/2008JD009909.

variables.

J.

Geophys.

Res.,

113,

D00E01,

Sultan, B., and S. Janicot, 2003: The West African Monsoon dynamics. Part II: The “Preonset” and “Onset” of the Summer Monsoon. J. Climate, 16, 3407–3427. Sultan, B., K. Labadi, J. F. Guégan, and S. Janicot, 2004: La méningite à meningocoque au Mali et al circulation atmospherique en Afrique de l’Ouest. Environment, Risques & Santé, 3, 23-34. Sultan, B., K. Labadi, J. F. Guégan, and S. Janicot, 2005: Climate drives the meningitis epidemics onset in West Africa. PLoS Medicine, 2, 43-49. Tanaka, M., B. C. Weare, A. R. Navato, and R. E. Newell, 1975: Recent African rainfall patterns. Nature, 255, 201-203. Tarhule, A., and M. Woo, 1998: Changes in rainfall characteristics in northern Nigeria. Int. J. Climatol., 18, 1261-1271. Tarhule, A., and P. J. Lamb, 2003: Climate research and seasonal forecasting for West Africans: Perceptions, dissemination, and use. Bull. Amer. Meteor. Soc., 84, 1741-1759. Thomson, M. C., A. M. Molesworth, M. H. Djingarey, K. R. Yameogo, F. Belanger, and L. E. Cuevas, 2006: Potential of environmental models to predict meningitis epidemics in Africa. Trop. Med. and Int. Health, 11, 781-788. Tipping, C., 1995: The Longest Migration. Chapter 11 in University of Florida Book of Insect Records ( http://ufbir.ifas.ufl.edu/). Ward M. N., 1998: Diagnosis and short-lead time prediction of summer rainfall in tropical North Africa on interannual and multidecadal timescales. J. Climate, 11, 3167–3191. Wilks D. S., 2006: Statistical Methods in the Atmospheric Sciences (Second Edition). Elsevier, Amsterdam, 467 pp. Winstanley, D., 1973a: Recent rainfall trends in Africa, the Middle East and India. Nature, 243, 464-465. Winstanley, D., 1973b: Rainfall patterns and the general atmospheric circulation. Nature 245, 190-194.

32

Table 1. Data availability details for sets of daily rainfall, minimum temperature, and maximum relative humidity observations.

Country

Period

Number of original stations

Number of final stations a.

Mali Burkina Faso Ghana Benin Niger Nigeria Chad

1974-2003 1974-2003 1974-2003 1974-2003 1974-2003 1974-1994 1974-1989

TOTAL

Number of final stations with >75% data available

Number of final stations with 75-50% data available

Number of final stations with 50-25% data available

Rainfall

30 12 3 3 35 11 17

19 10 2 2 31 7 11

19 10 2 2 31 4 0

0 0 0 0 0 0 11

0 0 0 0 0 3 0

111

82

68

11

3

b. Temperature and Relative Humidity Mali Burkina Faso Ghana Benin Niger Nigeria Chad TOTAL

1974-2003 1974-2003 1974-1997 1974-2001 1974-2003 1997-1999 1983-2002

21 10 5 6 19 7 15

19 9 2 2 14 6 10

19 7 2 2 11 0 1

0 2 0 0 1 0 4

0 0 0 0 2 6 5

83

62

42

7

13

33

Table 2. Contingency table indicating concurrent tercile associations between monthly averages of dekadal ITF latitude and total rainfall values in Fig. 5 for early (April-June) and late (October) rainy season months in West African Soudano-Sahel (10˚-20˚N, 12˚W-24˚E). For ITF latitude, Δ South (Δ North) denotes the southern (northern) displacement terciles. PoD is Probability of Detection (of corresponding tercile, bolded) and TCE is Two-Category (tercile, boxed) Error. See Section 3b for further explanation.

TOTAL RAINFALL Below ave

Near ave

Above ave

ITF LATITUDE

ITF LATITUDE

ITF LATITUDE

ITF ATITUDE

APRIL

Total

Δ South

23

7

0

30

Near ave

3

17

10

30

4 6 30 Δ North 20 Total 30 30 30 90 PoD = 66.66% TCE = 6.67% MAY Δ South

22

7

1

30

Near ave

7

18

5

30

30 Δ North 1 5 24 Total 30 30 30 90 PoD = 71.11% TCE = 3.33% JUNE Δ South

24

5

1

30

Near ave

5

16

9

30

1 9 30 Δ North 20 Total 30 30 30 90 PoD = 66.67% TCE = 3.33% OCTOBER Δ South

21

9

0

30

Near ave

9

14

7

30

Δ North 0 7 30 23 Total 30 30 30 90 PoD = 64.44% TCE = 0.00%

34

Table 3. Same as Table 2 except for core rainy season months (July-September) in Fig. 6.

TOTAL RAINFALL Below ave

Near ave

Above ave

JULY

Total

ITF LATITUDE

ITF LATITUDE

ITF LATITUDE

3

Δ South

21

8

1

30

Near ave

7

13

10

30

2 9 30 Δ North 19 Total 30 30 30 90 PoD = 58.89% TCE = 5.00% AUGUST Δ South

18

8

4

30

Near ave

5

15

10

30

Δ North 7 7 30 16 Total 30 30 30 90 PoD = 54.44% TCE = 18.33% SEPTEMBER Δ South

17

11

2

30

Near ave

11

11

8

30

30 Δ North 2 8 20 Total 30 30 30 90 PoD = 53.33% TCE = 6.67%

35

Table 4. Documentation of extreme seasons used in interannual (Fig. 9) and composite (Fig. 10) analyses. Study region mean July-September departures (for stations in Fig. 2) are relative to 1974-2003 averages, whereas West African mean April-October departures (from Fig. 1) are relative to 1941-2000 averages. Seasons shown were driest/wettest in study region during 1974-2003, except for 1978 which had better data coverage than the slightly wetter 1974 and 1975.

DRY SEASONS

WET SEASONS

Study region mean JulySeptember rainfall departure (σ)

Number of JulySeptember (JuneSeptember) dekads when study region ITF north of average

West African AprilOctober rainfall departure in Fig. 1 (σ)

1999

+1.33

8 (8)

+0.70

-1.26

1994

+1.26

5 (7)

+0.32

7 (8)

-0.89

1998

+0.79

9 (9)

+0.26

-0.68

3 (6)

-0.82

2003

+0.69

8 (8)

+0.47

1990

-0.52

9 (9)

-0.71

1988

+0.62

8 (10)

+0.11

2002

-0.37

3 (6)

-0.88

1978

+0.27

3 (8)

-0.07

AVERAGE

-0.74

6.17 (8.33)

-0.97

AVERAGE

+0.83

6.83 (8.33)

+0.30

Study region mean JulySeptember rainfall departure (σ)

Number of JulySeptember (JuneSeptember) dekads when study region ITF south of average

West African AprilOctober rainfall departure in Fig. 1 (σ)

1984

-1.19

8 (11)

-1.25

1983

-0.90

7 (10)

1987

-0.80

1982

Year

Year

Most Extreme

Less Extreme

36

Table 5. Same as Tables 2 and 3, but for predictive tercile associations between April ITF latitude and ITF latitude (left column) and total rainfall (right column) in subsequent months. PoD and TCE values in parentheses for August- October were computed using opposite matrix diagonals (bolded) and opposite extreme terciles (boxed), respectively. TOTAL RAINFALL Below Near Above ave ave ave MAY

ITF LATITUDE Δ Near Δ South ave North MAY

Total Δ South 30 18 7 5 Near ave 30 10 10 10 Δ North 30 2 13 15 Total 30 30 30 90 PoD = 47.77% TCE = 11.67% JUNE Δ South 14 10 6 30 Near ave 9 11 10 30 Δ North 7 9 14 30 Total 30 30 30 90 PoD = 43.33 % TCE = 21.67% JULY Δ South 18 10 2 30 Near ave 8 7 15 30 Δ North 4 13 13 30 Total 30 30 30 90 PoD = 42.22% TCE = 10.00% AUGUST 11 Δ South 8 30 11 Near ave 8 10 30 12 9 Δ North 10 30 11 Total 30 30 30 90 PoD = 35.56% (37.77%) TCE = 36.67% (33.33%) SEPTEMBER 2 Δ South 11 30 17 Near ave 12 9 30 9 4 Δ North 10 30 16 Total 30 30 30 90 PoD = 16.67% (46.67%) TCE = 55.00% (10.00%) OCTOBER 4 Δ South 14 30 12 Near ave 12 9 30 9 9 Δ North 7 30 14 Total 30 30 30 90 PoD = 24.44% (38.88%) TCE = 43.33% (21.67%)

APRIL ITF LATITUDE

APRIL ITF LATITUDE

APRIL ITF LATITUDE

APRIL ITF LATITUDE

APRIL ITF LATITUDE

APRIL ITF LATITUDE

APRIL ITF LATITUDE

APRIL ITF LATITUDE

APRIL ITF LATITUDE

APRIL ITF LATITUDE

APRIL ITF LATITUDE

APRIL ITF LATITUDE

Total Δ South 30 19 8 3 Near ave 30 7 13 10 Δ North 30 4 9 17 Total 30 30 30 90 PoD = 54.44% TCE = 11.67% JUNE Δ South 16 9 5 30 Near ave 8 11 11 30 Δ North 6 10 14 30 Total 30 30 30 90 PoD = 45.55 % TCE = 18.33% JULY Δ South 17 11 2 30 Near ave 11 9 10 30 Δ North 2 10 18 30 Total 30 30 30 90 PoD = 48.89% TCE = 6.67% AUGUST 9 Δ South 8 30 13 Near ave 10 9 30 11 8 Δ North 11 30 11 Total 30 30 30 90 PoD = 31.11% (38.89%) TCE = 40.00% (28.33%) SEPTEMBER 4 Δ South 10 30 16 Near ave 13 9 30 8 5 Δ North 12 30 13 Total 30 30 30 90 PoD = 18.89% (41.11%) TCE = 48.33% (15.00%) OCTOBER 4 Δ South 11 30 15 Near ave 11 9 30 10 Δ North 9 6 30 15 Total 30 30 30 90 PoD = 22.22% (44.44%) TCE = 50.00% (16.67%) 37

FIGURE CAPTIONS Figure 1. Time series (1941-2008) of average normalized April-October rainfall departure (σ) for 20 stations in the West African Soudano-Sahelian zone (11o-18oN) west of 10oE. Extended from Bell and Lamb (2006). Renormalized (for 1941-2000) and updated from earlier versions in Lamb (1978a, b, 1981, 1985), Lamb and Peppler (1991, 1992), and Tarhule and Lamb (2003), where further details can be found. This index correlates strongly with other zone-wide rainfall indices based on many more stations (Dai et al. 2004, +0.95; Fall et al. 2006, +0.91). Broken line is the 3-year moving average. Present study period (1974-2003) is delineated.

Figure 2.

Central Soudano-Sahelian countries of West Africa and Chad with location of

stations for which daily meteorological data were analyzed. Dots locate rainfall stations used; closed circles are synoptic stations from which daily minimum temperature and daily maximum relative humidity were employed to obtain daily dew point temperature. Vertical lines enclose 4o longitude wide strips for which dekadal ITF latitude and total rainfall averages were obtained, as explained in section 2f. N locates Niamey station.

Figure 3.

Long-term dekad-average position of West African Intertropical Front (ITF) for

1974-2003. (a) northward advance from early April until early August and (b) southward retreat from mid-August to mid-November. Bold broken line arrow indicates direction of advance and retreat for central part of study region. Dots locate synoptic stations from which daily minimum temperature and daily maximum relative humidity were employed to obtain daily dew point temperature and delineate ITF using 15oC dew point isodrosotherm. Location of Niamey station is indicated.

38

Figure 4. Long-term (1974-2003) average calendar monthly rainfall rate isohyets (mm d-1) in relation to the long-term average (1974-2003) monthly ITF position (red broken line) for AprilOctober in West African Soudano-Sahel.

Figure 5. Relationship between ITF latitude and total rainfall for early (April-June) and late (October) rainy season months in the West African Soudano-Sahel. Left panels give time series (1974-2003) of 10-day (dekad) averaged ITF latitude (degrees north, solid line, left ordinate) and 10-day area averaged total rainfall (mm, broken line, right ordinate) for domain between 10o20oN and 12oW-24oE (Fig. 2). Right panels contain corresponding scatter diagrams and linear correlation coefficients, all of which are significant at the 1% level (indicated by two asterisks) according to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135). Time series consist of 3 dekadal values per month for each year between 1974-2003, with abscissa labeled as years. Correlation coefficients in parentheses are for time series with seasonal cycles removed, where each dekadal value was the departure from the 1974-2003 dekadal mean.

Figure 6.

Same as Fig. 5, but for core rainy season months (July-September) and with

correlation coefficients being significant at the 5% level (one asterisk).

Figure 7. Seasonal variation of linear correlation between dekadal average ITF latitude and measures of dekadal mean Soudano-Sahel rainfall for the same domain (10o-20oN, 12oW-24oE) as in Figs. 5 and 6. For 1974-2003, bold solid line gives ITF correlation with area-averaged raw rainfall totals (from Figs. 5 and 6), dash-dotted line is for ITF correlation with time scores of first unrotated PC of station rainfall totals, and dashed line is for ITF correlation with area-averaged log10 transformed raw rainfall totals. Bold broken line is the same as solid line but for 1988-2003 only (see text). Dotted line gives 1988-2003 correlation between NOAA/NWS/NCEP/CPC Africa Desk ITF latitude and raw rainfall totals used to produce broken line correlation. 39

According to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135), all April-June and October (July-September) correlation coefficients are significant at the 1% (5%) level, except for CPC ITF correlation (1% level for all months).

Figure 8.

Time scale dependence of relationship between ITF latitude and West African

Soudano-Sahel rainfall for 1974-2003. (a) 10-day (dekad) averaged ITF latitude (degrees north, solid line, left ordinate) and 10-day area-averaged total rainfall (mm, broken line, right ordinate) for domain between 10o-20oN and 12oW-24oE (Fig. 2) for July-September. (b) same as (a) except for monthly ITF and monthly total rainfall averages. (c) same as (a) except for AprilOctober seasonal ITF averages for above domain, and April-October rainfall totals expressed as averaged normalized departures for both above domain and entire West African Soudano-Sahel zone (taken from Fig. 1). Year labels on abscissa in a/b are first dekad/month of that season. Correlation coefficients in right corners are significant at 5% (one asterisk) and 1% (two asterisks) levels, according to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135). Correlation coefficients in parenthesis in (a)/(b) are for time series with seasonal cycles removed, where each dekadal/monthly value was the departure from the 1974-2003 dekadal/monthly mean.

Figure 9. Seasonal cycles of dekad-averaged total rainfall (solid lines) and dekad-averaged ITF latitude (broken lines) for individual very extreme years (Table 4) in comparison with 1974-2003 mean counterparts, for domain between 10o-20oN and 12oW-24oE (Fig. 2). Thin (bold) curves are for extreme years (1974-2003 mean). Left (right) ordinates give ITF latitude (total rainfall), and abscissas are labeled as month/dekad. Vertical bars straddling bold lines indicate 95% confidence intervals for 1974-2003 dekad means, constructed using the Student’s t distribution and standard deviations estimated from N = 30 values for each dekad (Keeping 1995, pp. 183– 184). Boxes contain linear correlation coefficients between seasonal cycles of ITF latitude and 40

total rainfall for extreme years and 1974-2003 mean; all are significant at the 5% level (one asterisk) according to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135).

Figure 10. Seasonal cycles of dekad-averaged total rainfall (solid lines) and dekad-averaged ITF latitude (broken lines) for composites of six extreme DRY and six extreme WET years (Table 4) in comparison with 1974-2003 mean counterparts, for domain between 10o-20oN and 12oW24oE. Left panels are patterned after Fig. 9, with correlation coefficients in boxes being significant at the 5% level (one asterisk) according to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135). Right panels have same axes and further illustrate WET minus mean, DRY minus mean, and WET minus DRY differences in ITF latitude and total rainfall. Solid vertical bars straddling bold lines in left panels indicate 95% confidence intervals for 1974-2003 dekad means, constructed using the Student’s t distribution and standard deviation estimates from N = 30 values for each dekad (Keeping 1995, pp. 183–184). Broken vertical bars above (below) WET (DRY) composite lines in left panels give standard deviations of dekad-average values contributing to composite means.

Figure 11. Seasonal cycles of dekad-averaged latitude of key dekadal total rainfall isohyets for 4o longitude strip centered on 2oE (Fig. 2) for 1974-2003 and DRY and WET composites (Table 4, Fig. 10). Dotted line is 10 mm dekad-1 isohyet, broken line is 25 mm dekad-1 and solid line is 50 mm dekad-1. Abscissas are labeled as month/dekad.

Figure 12. Seasonal persistence of ITF latitude and its control on rainfall for the same West African Soudano-Sahel domain (10o-20oN, 12oW-24oE) as in Figs. 5-10. Curves give linear correlation between average ITF latitude for month in upper right corner of panel and average ITF latitude (bold solid line) and mean total rainfall (bold dotted line) during subsequent months.

41

Thin broken horizontal lines give 1% significance levels for correlation coefficients, according to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135).

Figure 13.

Secular variation of associations between ITF latitude, mesoscale convective

weather system (MCWS) size/intensity, and Soudano-Sahel rainfall for 1951-2003. All time series shown were smoothed using a 3-year running mean. (a) Smoothed versions of AprilOctober ITF and rainfall index time series for 1974-2003 in Fig. 8c (same line signatures and ordinate scales). (b) Smoothed versions of July-September dekadal ITF latitude and total rainfall time series for 1974-2003 in Fig. 8a (same line signatures and ordinate scales). (c) Relations between smoothed ITF latitude (solid line) time series for 1974-2003 in (a) and smoothed MCWS size (DDEI, broken line) and intensity (CAR, dotted line) time series for Mali for 19511998 from Bell and Lamb (2006, Fig. 15). (d)/(e) are the same as (c) except for Burkina Faso and Niger. In (c)-(e), black squares on each inset map locate regions to which MCWS time series pertain, ITF latitude (degrees north) is on left ordinate, MCWS intensity (CAR, catchment average rainfall, mm d-1) is on inside right ordinate, and MCWS size (DDEI, daily disturbance extent index, % of stations receiving rain) is on outside right ordinate. See Bell and Lamb (2006) for details of DDEI and CAR calculations.

42

+1.5

+1.5

Average Normalized Departure (σ)

+1

+1

0

0

-1

-1 STUDY PERIOD

-1.5 2007

2004

2001

1998

1995

1992

1989

1986

1983

1980

1977

1974

1971

1968

1965

1962

1959

1956

1953

1950

1947

1944

1941

-1.5

Figure 1. Time series (1941-2008) of average normalized April-October rainfall departure (σ) for 20 stations in the West African Soudano-Sahelian zone (11o-18oN) west of 10oE. Extended from Bell and Lamb (2006). Renormalized (for 1941-2000) and updated from earlier versions in Lamb (1978a, b, 1981, 1985), Lamb and Peppler (1991, 1992), and Tarhule and Lamb (2003), where further details can be found. This index correlates strongly with other zone-wide rainfall indices based on many more stations (Dai et al. 2004, +0.95; Fall et al. 2006, +0.91). Broken line is the 3-year moving average. Present study period (1974-2003) is delineated.

43

25N

Mali

Niger

Chad

Latitude

20N

15N N

10N

10W

6W

Burkina Faso

2W

2E

6E

Longitude Ghana Benin

10E

14E

18E

22E

Nigeria

Figure 2. Central Soudano-Sahelian countries of West Africa and Chad with location of stations for which daily meteorological data were analyzed. Dots locate rainfall stations used; closed circles are synoptic stations from which daily minimum temperature and daily maximum relative humidity were employed to obtain daily dew point temperature. Vertical lines enclose 4o longitude wide strips for which dekadal ITF latitude and total rainfall averages were obtained, as explained in section 2f. N locates Niamey station.

44

24

Latitude North

22 20

July dekad 3

18 16

May dekad 3

14

May dekad 2 May dekad 1 April dekad 3 April dekad 2

12

April dekad 1

10 24 22

Latitude North

(a) ITF Advance

10W

July dekad 2 July dekad 1 June dekad 3 June dekad 2 June dekad 1

August dekad 1

NIAMEY

0

10E

20E

(b) ITF Retreat

20 September dekad 1

18 October dekad 1

16

September dekad 2

October dekad 2

August dekad 2 August dekad 3

September dekad 3

October dekad 3

14

NIAMEY

November dekad 1

12

November dekad 2

10 10W

0

Longitude

10E

20E

Figure 3. Long-term dekad-average position of West African Intertropical Front (ITF) for 1974-2003. (a) northward advance from early April until early August and (b) southward retreat from mid-August to midNovember. Bold broken line arrow indicates direction of advance and retreat for central part of study region. Dots locate synoptic stations from which daily minimum temperature and daily maximum relative humidity were employed to obtain daily dew point temperature and delineate ITF using 15oC dew point isodrosotherm. Location of Niamey station is indicated.

45

25N

APRIL

MAY

20N

15N

ITF

ITF 10N 25N

JUNE

JULY

20N

ITF

ITF 15N

10N

10W

0

20E

10E

25N

0

10W

10E

20E

AUGUST

20N

ITF

15N

10N

25N

10W

0

10E

20E

OCTOBER

SEPTEMBER

20N

ITF

15N

ITF 10N 10W

0

20E

10E

1

2

3

4

5

10W

6

mm d-1

7

0

8

10E

20E

9

Figure 4. Long-term (1974-2003) average calendar monthly rainfall rate isohyets (mm d-1) in relation to the long-term average (1974-2003) monthly ITF position (red broken line) for April-October in West African Soudano-Sahel.

46

16

16

April

12

r = +0.74** (+0.61**)

12 14

8 8

12

4 4

0 74

76

78 80

82

84 86

88

90 92

94 96

98

00 02 50

20

May

ITF Latitude (degrees north)

18

0 10

11

12

13

14 50

r = +0.79** (+0.72**)

40

40

30

30

20

20

10

10

16

14

12

0 74

20

76

78 80

82

84 86

88

90 92

94 96

98

00 02

June

0 12

40

13

14

15

16

17

18

r = + 0.78** (+0.74**)

40

30

30

20

20

10

10

18

Dekad Total Rainfall (mm)

10

16

14

0 74

20

76

78 80

82 84

86

88 90

92

94 96

98 00

02

October

0 14

40

15

16

17

18

19

20

21

r = +0.81** (+0.76**)

40

18

30

30

16

20

20

14

10

10

12

0 74

76

78 80

82 84

86

88 90

92

94 96

98 00

02

0 12

Year

13

14

15

16

17

18

19

20

21

ITF Latitude (degrees north)

Figure 5. Relationship between ITF latitude and total rainfall for early (April-June) and late (October) rainy season months in the West African Soudano-Sahel. Left panels give time series (1974-2003) of 10-day (dekad) averaged ITF latitude (degrees north, solid line, left ordinate) and 10-day area averaged total rainfall (mm, broken line, right ordinate) for domain between 10o-20oN and 12oW-24oE (Fig. 2). Right panels contain corresponding scatter diagrams and linear correlation coefficients, all of which are significant at the 1% level (indicated by two asterisks) according to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135). Time series consist of 3 dekadal values per month for each year between 1974-2003, with abscissa labeled as years. Correlation coefficients in parentheses are for time series with seasonal cycles removed, where each dekadal value was the departure from the 1974-2003 dekadal mean. 47

24

80

July

80

r = +0.56* (+0.31*)

22 60

60

40

40

20

18

20 74 76 78 80 82 84 86 88 90 92 94 96 98 00 02

24

100

August

20 16

17

18

19

20

21 100

r = +0.50* (+0.51*)

22

80

80

20

60

60

18

40

40

16

20 74 76 78 80 82 84 86 88 90 92 94 96 98 00 02

22

80

September

20 17

18

19

20

21

22 80

r = + 0.58* (+0.36*)

20

60

60

18

40

40

16

20

20

14

0 74 76 78 80 82 84 86 88 90 92 94 96 98 00 02

Dekad Total Rainfall (mm)

ITF Latitude (degrees north)

16

0 14

15

16

17

18

19

20

21

ITF Latitude (degrees north)

Year

Figure 6. Same as Fig. 5, but for core rainy season months (July-September) and with correlation coefficients being significant at the 5% level (one asterisk).

48

+ +

Correlation Coefficient + + + +

raw rainfall (1974-2003) PC rainfall (1974-2003) log10 rainfall (1974-2003) raw rainfall (1988-2003) CPC ITF (1988-2003)

Figure 7. Seasonal variation of linear correlation between dekadal average ITF latitude and measures of dekadal mean Soudano-Sahel rainfall for the same domain (10o-20oN, 12oW-24oE) as in Figs. 5 and 6. For 1974-2003, bold solid line gives ITF correlation with area-averaged raw rainfall totals (from Figs. 5 and 6), dash-dotted line is for ITF correlation with time scores of first unrotated PC of station rainfall totals, and dashed line is for ITF correlation with area-averaged log10 transformed raw rainfall totals. Bold broken line is the same as solid line but for 1988-2003 only (see text). Dotted line gives 1988-2003 correlation between NOAA/NWS/NCEP/CPC Africa Desk ITF latitude and raw rainfall totals used to produce broken line correlation. According to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135), all April-June and October (July-September) correlation coefficients are significant at the 1% (5%) level, except for CPC ITF correlation (1% level for all months).

49

r = +0.67** (+0.41*)

July-September Dekadal

22

80

20

60

18

40

16

20 ITF latitude Rainfall

14 1974

22

1976

1978

0 1980

1982

1984

1986

1988

1990

1992

1994

1996

1998

2000

r = +0.47* (+0.45*)

July-September Monthly

b

2002

210

170 20 130 18 90 ITF latitude Rainfall

16 1974

18

1976

1978

50 1980

1982

c

1984

1986

1988

1990

1992

1994

1996

1998

2000

2002

+2

April-October Seasonal

+1 17 0 16 -1

r1 = +0.66* r2 = +0.47*

ITF latitude Study area rainfall index (r1) West African rainfall index (r2)

15 1974

1976

1978

1980

1982

1984

1986

1988

1990

1992

1994

1996

1998

2000

Average Normalized Rainfall Departure (σ)

ITF Latitude (degrees north)

100

Dekad Total Rainfall (mm)

a

Monthly Total Rainfall (mm)

24

-2

2002

Figure 8. Time scale dependence of relationship between ITF latitude and West African Soudano-Sahel rainfall for 1974-2003. (a) 10-day (dekad) averaged ITF latitude (degrees north, solid line, left ordinate) and 10-day area-averaged total rainfall (mm, broken line, right ordinate) for domain between 10o-20oN and 12oW24oE (Fig. 2) for July-September. (b) same as (a) except for monthly ITF and monthly total rainfall averages. (c) same as (a) except for April-October seasonal ITF averages for above domain, and April-October rainfall totals expressed as averaged normalized departures for both above domain and entire West African SoudanoSahel zone (taken from Fig. 1). Year labels on abscissa in a/b are first dekad/month of that season. Correlation coefficients in right corners are significant at 5% (one asterisk) and 1% (two asterisks) levels, according to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135). Correlation coefficients in parentheses in (a)/(b) are for 50

time series with seasonal cycle removed, where each dekadal/monthly value was the departure from the 19742003 dekadal/monthly mean.

WET

DRY 22

1984 Mean ITF latitude 1984 ITF latitude Mean total rain 1984 total rain

20

100 22

80

18

1999 Mean ITF latitude 1999 ITF latitude Mean total rain 1999 total rain

20

80

18 60

60 16

40 14

40 14

20

12

r (ave rain, ave ITF)=+0.93* r (84 rain , 84 ITF)=+0.91*

10 22

0

1983 Mean ITF latitude 1983 ITF latitude Mean total rain 1983 total rain

20

20

12

r (ave rain, ave ITF)=+0.93* r (99 rain , 99 ITF)=+0.92*

10

100 22

80

18

0

1994 Mean ITF latitude 1994 ITF latitude Mean total rain 1994 total rain

20

100

80

18 60

16

Dekad Total Rainfall (mm)

16

ITF Latitude (degrees north)

100

60 16

40 14

40 14

20

12

r (ave rain, ave ITF)=+0.93* r (83 rain , 83 ITF)=+0.92*

10

4/1

5/1

6/1

7/1

8/1

9/1

0

10/1

20

12

r (ave rain, ave ITF)=+0.93* r (94 rain , 94 ITF)=+0.88*

10

4/1

5/1

6/1

7/1

8/1

0

9/1 10/1

Month/Dekad Figure 9. Seasonal cycles of dekad-averaged total rainfall (solid lines) and dekad-averaged ITF latitude (broken lines) for individual very extreme years (Table 4) in comparison with 1974-2003 mean counterparts, for domain between 10o-20oN and 12oW-24oE (Fig. 2). Thin (bold) curves are for extreme years (1974-2003 mean). Left (right) ordinates give ITF latitude (total rainfall), and abscissas are labeled as month/dekad. Vertical bars straddling bold lines indicate 95% confidence intervals for 1974-2003 dekad means, constructed using the Student’s t distribution and standard deviations estimated from N = 30 values for each dekad (Keeping 1995, pp. 183–184). Boxes contain linear correlation coefficients between seasonal cycles of ITF latitude and total rainfall for extreme years and 1974-2003 mean; all are significant at the 5% level (one asterisk) according to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135).

51

22

100

Mean ITF latitude WET ITF latitude Mean rain total WET rain total

20

WET minus Mean

WET

+2

+20

0

0

80

18 60

20

12

r (ave rain, ave ITF)=+0.93* r (wet rain, WET ITF)=+0.90*

10 22

Mean ITF latitude DRY ITF latitude Mean rain total DRY rain total

20

0 100

DRY 80

18 60

ITF latitude Rainfall

-2 +2

DRY minus Mean

0

-20 +20

0

ITF latitude Rainfall

-2 +4

WET minus DRY

Dekad Total Rainfall (mm)

14

ITF Latitude (degrees north)

40

Dekad Total Rainfall (mm)

ITF Latitude (degrees north)

16

-20 +40

16 40

+2

+20

0

0

14 20

12 10

r (ave rain, ave ITF)=+0.93* r (dry rain, DRY ITF)=+0.94*

4/1

5/1

6/1

7/1

8/1

9/1

ITF latitude Rainfall

10/

0

-2

4/1

5/1

6/1 7/1

8/1

9/1 10/1

-20

Month/Dekad Figure 10. Seasonal cycles of dekad-averaged total rainfall (solid lines) and dekad-averaged ITF latitude (broken lines) for composites of six extreme DRY and six extreme WET years (Table 4) in comparison with 1974-2003 mean counterparts, for domain between 10o-20oN and 12oW-24oE. Left panels are patterned after Fig. 9, with correlation coefficients in boxes being significant at the 5% level (one asterisk) according to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135). Right panels have same axes and further illustrate WET minus mean, DRY minus mean, and WET minus DRY differences in ITF latitude and total rainfall. Solid vertical bars straddling bold lines in left panels indicate 95% confidence intervals for 1974-2003 dekad means, constructed using the Student’s t distribution and standard deviation estimates from N = 30 values for each dekad (Keeping 1995, pp. 183–184). Broken vertical bars above (below) WET (DRY) composite lines in left panels give standard deviations of dekad-average values contributing to composite means.

52

22

20

DRY

10 mm 25 mm 50 mm

18

16

Latitude (degrees north)

22

MEAN

10 mm 25 mm 50 mm

14

12

18

10 22

14 20

WET

10 mm 25 mm 50 mm

18

10

4/1

5/1

6/1

7/1

8/1

9/1

10/

16

14

12

10

4/1

5/1

6/1

7/1

8/1

9/1

10/

Month/Dekad Figure 11. Seasonal cycles of dekad-averaged latitude of key dekadal total rainfall isohyets for 4o longitude strip centered on 2oE (Fig. 2) for 1974-2003 and DRY and WET composites (Table 4, Fig. 10). Dotted line is 10 mm dekad-1 isohyet, broken line is 25 mm dekad-1 and solid line is 50 mm dekad-1. Abscissas are labeled as month/dekad.

53

+0.8

April

+0.4 0 -0.4

ITF vs. ITF ITF vs. Rainfall

-0.8 +0.8

May

+0.4 0

Correlation Coefficient

-0.4

ITF vs. ITF ITF vs. Rainfall

-0.8 +0.8

June

+0.4 0 -0.4

ITF vs. ITF ITF vs. Rainfall

-0.8 +0.8

July

+0.4 0 -0.4

ITF vs. ITF ITF vs. Rainfall

-0.8 +0.8

August

+0.4 0 -0.4

ITF vs. ITF ITF vs. Rainfall

-0.8 May

Jun

Jul

Aug

Sep

Oct

Figure 12. Seasonal persistence of ITF latitude and its control on rainfall for the same West African Soudano-Sahel domain (10o-20oN, 12oW-24oE) as in Figs. 5-10. Curves give linear correlation between average ITF latitude for month in upper right corner of panel and average ITF latitude (bold solid line) and mean total rainfall (bold dotted line) during subsequent months. Thin broken horizontal lines give 1% significance levels for correlation coefficients, according to a two-tailed Student’s t-test (Wilks 2006, pp. 131-135). 54

55

a

+1.5

April-October Seasonal

Average Normalized Rainfall Departure (σ)

17.5

+1 17

0

16.5

16

15.5 1974

1976

1978

1980

-1.5

1982

1984

1986

1988

1990

1992

1994

1996

1998

2000

2002

21

b

July-September Dekadal

70

19 50

17

30 ITF latitude Rainfall

15

10

Dekad Total Rainfall (mm)

ITF Latitude (degrees north)

-1

ITF latitude Study area rainfall index West African rainfall index

18

c

9 50 18

Mali

8 7

17

ITF CAR DDEI

1951 1961 1971

17

5

4 35

4 35 3

30

1 25 15 1991

2001

1951

ITF CAR DDEI

1961

17

8 45

6 40 5 4 35

16

3

30

1 25 15 2001

9 50

7

2

1971 1981 1991

Niger

45

6 40

16

e

8 7

2 1981

9 50 18

5

3

15

45

6 40

16

d Burkina Faso

ITF CAR DDEI

1951 1961

1971

30

2 1 25 1981

Seasonal Average CAR (mm d-1) / DDEI (%)

1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002

1991 2001

Figure 13. Secular variation of associations between ITF latitude, mesoscale convective weather system (MCWS) size/intensity, and Soudano-Sahel rainfall for 1951-2003. All time series shown were smoothed using a 3-year running mean. (a) Smoothed versions of April-October ITF and rainfall index time series for 19742003 in Fig. 8c (same line signatures and ordinate scales). (b) Smoothed versions of July-September dekadal ITF latitude and total rainfall time series for 1974-2003 in Fig. 8a (same line signatures and ordinate scales). (c) Relations between smoothed ITF latitude (solid line) time series for 1974-2003 in (a) and smoothed MCWS size (DDEI, broken line) and intensity (CAR, dotted line) time series for Mali for 1951-1998 from Bell and Lamb (2006, Fig. 15). (d)/(e) are the same as (c) except for Burkina Faso and Niger. In (c)-(e), black squares on each inset map locate regions to which MCWS time series pertain, ITF latitude (degrees north) is on left ordinate, MCWS intensity (CAR, catchment average rainfall, mm d-1) is on inside right ordinate, and MCWS size (DDEI, daily disturbance extent index, % of stations receiving rain) is on outside right ordinate. See Bell and Lamb (2006) for details of DDEI and CAR calculations. 55