Seasonal Outlook on the West African Rainy Season: Monitoring Onset Date Variations using GPM IMERG Satellite-Based Precipitation Data

C. B. Jayasankar Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida
Florida Climate Institute, Florida State University, Tallahassee, Florida

Search for other papers by C. B. Jayasankar in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0001-5926-6653
and
Vasubandhu Misra Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, Florida
Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, Florida
Florida Climate Institute, Florida State University, Tallahassee, Florida

Search for other papers by Vasubandhu Misra in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

In this study, we diagnose the onset and demise of the rainy season from the daily rainfall over West Africa. We then produce a probabilistic seasonal outlook of the rainy season over this region based on the observed variations of the onset date of the season, which verifies well with observations. We generated 101 ensemble members at every grid point by randomly perturbing the observed series of daily rainfall data obtained from the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) mission, version 6, rainfall analysis. The generated ensemble of time series of daily rainfall accounts for uncertainties at meso- to synoptic scales that could arise in the generation of the observed rainfall analysis. The ensemble members provide a robust estimate of the onset and demise dates of the rainy season. We find that the interannual variations in the onset and demise dates of the rainy season in West Africa significantly influence the corresponding anomalies of the seasonal length and rainfall. Additionally, the interannual variability of the onset dates dominates over the demise dates of the rainy season across West Africa. In contrast, their association with remote, large-scale forcing is not found to be as significant. In addition, we found that the African easterly jet (AEJ) is displaced southward or northward in early or late onset seasons, respectively. This study highlights the effectiveness of utilizing the intrinsic relationships between onset date, seasonal length, and rainfall anomaly to produce useful seasonal outlooks of the rainy season solely by monitoring the onset date of the rainy season.

Significance Statement

The West African region comprising of Liberia, Sierra Leone, Guinea, and Guinea-Bissau is critically dependent on the seasonal evolution of the rainfall for their agricultural activities amid significant seasonal-to-interannual variations of their rainy season. In this study, we offer a simple but reliable methodology to provide a seasonal outlook of the rainy season over West Africa by simply monitoring the evolution of the onset date of the rainy season. Given the availability of gridded rainfall analysis at 10-km grid resolution from the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) mission, version 6, at 12-h latency, it is now possible to adapt the proposed methodology for real-time monitoring and seasonal outlook of the rainy season. The veracity of the seasonal outlook of the rainy season from the proposed methodology is analyzed to show that it has much higher skill than a random forecast and could serve as a complementary approach to current practices of seasonal forecast for the region.

© 2025 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: C. B. Jayasankar, cbjayasankar@gmail.com

Abstract

In this study, we diagnose the onset and demise of the rainy season from the daily rainfall over West Africa. We then produce a probabilistic seasonal outlook of the rainy season over this region based on the observed variations of the onset date of the season, which verifies well with observations. We generated 101 ensemble members at every grid point by randomly perturbing the observed series of daily rainfall data obtained from the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) mission, version 6, rainfall analysis. The generated ensemble of time series of daily rainfall accounts for uncertainties at meso- to synoptic scales that could arise in the generation of the observed rainfall analysis. The ensemble members provide a robust estimate of the onset and demise dates of the rainy season. We find that the interannual variations in the onset and demise dates of the rainy season in West Africa significantly influence the corresponding anomalies of the seasonal length and rainfall. Additionally, the interannual variability of the onset dates dominates over the demise dates of the rainy season across West Africa. In contrast, their association with remote, large-scale forcing is not found to be as significant. In addition, we found that the African easterly jet (AEJ) is displaced southward or northward in early or late onset seasons, respectively. This study highlights the effectiveness of utilizing the intrinsic relationships between onset date, seasonal length, and rainfall anomaly to produce useful seasonal outlooks of the rainy season solely by monitoring the onset date of the rainy season.

Significance Statement

The West African region comprising of Liberia, Sierra Leone, Guinea, and Guinea-Bissau is critically dependent on the seasonal evolution of the rainfall for their agricultural activities amid significant seasonal-to-interannual variations of their rainy season. In this study, we offer a simple but reliable methodology to provide a seasonal outlook of the rainy season over West Africa by simply monitoring the evolution of the onset date of the rainy season. Given the availability of gridded rainfall analysis at 10-km grid resolution from the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) mission, version 6, at 12-h latency, it is now possible to adapt the proposed methodology for real-time monitoring and seasonal outlook of the rainy season. The veracity of the seasonal outlook of the rainy season from the proposed methodology is analyzed to show that it has much higher skill than a random forecast and could serve as a complementary approach to current practices of seasonal forecast for the region.

© 2025 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: C. B. Jayasankar, cbjayasankar@gmail.com

Supplementary Materials

    • Supplemental Materials (PDF 0.3879 MB)
Save
  • Akinsanola, A. A., and W. Zhou, 2020: Understanding the variability of West African summer monsoon rainfall: Contrasting tropospheric features and monsoon index. Atmosphere, 11, 309, https://doi.org/10.3390/atmos11030309.

    • Search Google Scholar
    • Export Citation
  • Atiah, W. A., L. K. Amekudzi, J. N. A. Aryee, K. Preko, and S. K. Danuor, 2020: Validation of satellite and merged rainfall data over Ghana, West Africa. Atmosphere, 11, 859, https://doi.org/10.3390/atmos11080859.

    • Search Google Scholar
    • Export Citation
  • Becker, T., P. Bechtold, and I. Sandu, 2021: Characteristics of convective precipitation over tropical Africa in storm-resolving global simulations. Quart. J. Roy. Meteor. Soc., 147, 43884407, https://doi.org/10.1002/qj.4185.

    • Search Google Scholar
    • Export Citation
  • Cook, K. H., and E. K. Vizy, 2012: Impact of climate change on mid-twenty-first century growing seasons in Africa. Climate Dyn., 39, 29372955, https://doi.org/10.1007/s00382-012-1324-1.

    • Search Google Scholar
    • Export Citation
  • Dezfuli, A. K., C. M. Ichoku, G. J. Huffman, K. I. Mohr, J. S. Selker, N. van de Giesen, and F. O. Annor, 2017: Validation of IMERG precipitation in Africa. J. Hydrometeor., 18, 28172825, https://doi.org/10.1175/JHM-D-17-0139.1.

    • Search Google Scholar
    • Export Citation
  • Diaconescu, E. P., P. Gachon, J. Scinocca, and R. Laprise, 2015: Evaluation of daily precipitation statistics and monsoon onset/retreat over western Sahel in multiple data sets. Climate Dyn., 45, 13251354, https://doi.org/10.1007/s00382-014-2383-2.

    • Search Google Scholar
    • Export Citation
  • Dos Santos, V., R. A. Jucá Oliveira, P. Datok, S. Sauvage, A. Paris, M. Gosset, and J. M. Sánchez-Pérez, 2022: Evaluating the performance of multiple satellite-based precipitation products in the Congo River Basin using the SWAT model. J. Hydrol., 42, 101 168, https://doi.org/10.1016/j.ejrh.2022.101168.

    • Search Google Scholar
    • Export Citation
  • 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 monsoon in summer 2006 in the region of Niger/Mali. J. Geophys. Res., 114, D09108, https://doi.org/10.1029/2008JD011159.

    • Search Google Scholar
    • Export Citation
  • Dunning, C. M., E. C. L. Black, and R. P. Allan, 2016: The onset and cessation of seasonal rainfall over Africa. J. Geophys. Res. Atmos., 121, 11 40511 424, https://doi.org/10.1002/2016JD025428.

    • Search Google Scholar
    • Export Citation
  • Dunning, C. M., E. Black, and R. P. Allan, 2018: Later wet seasons with more intense rainfall over Africa under future climate change. J. Climate, 31, 97199738, https://doi.org/10.1175/JCLI-D-18-0102.1.

    • Search Google Scholar
    • Export Citation
  • Emmanuel, I., 2022: Linkages between El Niño-Southern Oscillation (ENSO) and precipitation in West Africa regions. Arabian J. Geosci., 15, 675, https://doi.org/10.1007/s12517-022-09942-2.

    • Search Google Scholar
    • Export Citation
  • Fitzpatrick, R. G. J., C. L. Bain, P. Knippertz, J. H. Marsham, and D. J. Parker, 2015: The West African monsoon onset: A concise comparison of definitions. J. Climate, 28, 86738694, https://doi.org/10.1175/JCLI-D-15-0265.1.

    • Search Google Scholar
    • Export Citation
  • Flaounas, E., S. Janicot, S. Bastin, R. Roca, and E. Mohino, 2012: The role of the Indian monsoon onset in the West African monsoon onset: Observations and AGCM nudged simulations. Climate Dyn., 38, 965983, https://doi.org/10.1007/s00382-011-1045-x.

    • Search Google Scholar
    • Export Citation
  • Fontaine, B., S. Janicot, and P. Roucou, 2008: Definition and predictability of an OLR-based West African monsoon onset. Int. J. Climatol., 28, 17871798, https://doi.org/10.1002/joc.1674.

    • Search Google Scholar
    • Export Citation
  • Funk, C., P. Peterson, M. Landsfeld, D. Pedreros, J. Verdin, S. Shukla, and J. Michaelsen, 2015: The climate hazards infrared precipitation with stations—A new environmental record for monitoring extremes. Sci. Data, 2, 150066, https://doi.org/10.1038/sdata.2015.66.

    • Search Google Scholar
    • Export Citation
  • Giannini, A., R. Saravanan, and P. Chang, 2005: Dynamics of the boreal summer African monsoon in the NSIPP1 atmospheric model. Climate Dyn., 25, 517535, https://doi.org/10.1007/s00382-005-0056-x.

    • Search Google Scholar
    • Export Citation
  • Gu, G., and R. F. Adler, 2004: Seasonal evolution and variability associated with the West African monsoon system. J. Climate, 17, 33643377, https://doi.org/10.1175/1520-0442(2004)017<3364:SEAVAW>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Heidke, P., 1926: Berechnung des Erfolges und der Gute der Windstarkevorhersagen im Sturmwarnungsdienst (Measures of success and goodness of wind force forecasts by the gale-warning service). Geogr. Ann., 8, 301349.

    • Search Google Scholar
    • Export Citation
  • Hersbach, H., and Coauthors, 2023: ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), accessed 25 January 2023, https://doi.org/10.24381/cds.adbb2d47.

  • Huffman, G. J., R. F. Adler, D. T. Bolvin, and E. J. Nelkin, 2010: The TRMM Multi-satellite Precipitation Analysis (TMPA). Satellite Rainfall Applications for Surface Hydrology, M. Gebremichael and F. Hossain, Eds., Springer, 3–22.

  • Huffman, G. J., E. F. Stocker, D. T. Bolvin, E. J. Nelkin, and J. Tan, 2019: GPM IMERG late precipitation L3 1 day 0.1 degree × 0.1 degree V06. Goddard Earth Sciences Data and Information Services Center (GES DISC), accessed 5 June 2023, https://doi.org/10.5067/GPM/IMERGDL/DAY/06.

  • Ingram, K. T., M. C. Roncoli, and P. H. Kirshen, 2002: Opportunities and constraints for farmers of West Africa to use seasonal precipitation forecasts with Burkina Faso as a case study. Agric. Syst., 74, 331349, https://doi.org/10.1016/S0308-521X(02)00044-6.

    • Search Google Scholar
    • Export Citation
  • Janicot, S., S. Trzaska, and I. Poccard, 2001: Summer Sahel-ENSO teleconnection and decadal time scale SST variations. Climate Dyn., 18, 303320, https://doi.org/10.1007/s003820100172.

    • Search Google Scholar
    • Export Citation
  • Jayasankar, C. B., S. Surendran, and K. Rajendran, 2015: Robust signals of future projections of Indian summer monsoon rainfall by IPCC AR5 climate models: Role of seasonal cycle and interannual variability. Geophys. Res. Lett., 42, 35133520, https://doi.org/10.1002/2015GL063659.

    • Search Google Scholar
    • Export Citation
  • Joly, M., and A. Voldoire, 2009: Influence of ENSO on the West African monsoon: Temporal aspects and atmospheric processes. J. Climate, 22, 31933210, https://doi.org/10.1175/2008JCLI2450.1.

    • Search Google Scholar
    • Export Citation
  • Joly, M., A. Voldoire, H. Douville, P. Terray, and J.-F. Royer, 2007: African monsoon teleconnections with tropical SSTs: Validation and evolution in a set of IPCC4 simulations. Climate Dyn., 29 (1), 120, https://doi.org/10.1007/s00382-006-0215-8.

    • Search Google Scholar
    • Export Citation
  • Li, H., H. Wang, and Y. Yin, 2012: Interdecadal variation of the West African summer monsoon during 1979–2010 and associated variability. Climate Dyn., 39, 28832894, https://doi.org/10.1007/s00382-012-1426-9.

    • Search Google Scholar
    • Export Citation
  • Liebmann, B., and J. Marengo, 2001: Interannual variability of the rainy season and rainfall in the Brazilian Amazon basin. J. Climate, 14, 43084318, https://doi.org/10.1175/1520-0442(2001)014<4308:IVOTRS>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Liebmann, B., S. J. Camargo, A. Seth, J. A. Marengo, L. M. V. Carvalho, D. Allured, R. Fu, and C. S. Vera, 2007: Onset and end of the rainy season in South America in observations and the ECHAM 4.5 atmospheric general circulation model. J. Climate, 20, 20372050, https://doi.org/10.1175/JCLI4122.1.

    • Search Google Scholar
    • Export Citation
  • Losada, T., B. Rodríguez-Fonseca, S. Janicot, S. Gervois, F. Chauvin, and P. Ruti, 2010: A multi-model approach to the Atlantic Equatorial mode: Impact on the West African monsoon. Climate Dyn., 35, 2943, https://doi.org/10.1007/s00382-009-0625-5.

    • Search Google Scholar
    • Export Citation
  • Macharia, D., K. Fankhauser, J. S. Selker, J. C. Neff, and E. A. Thomas, 2022: Validation and intercomparison of satellite-based rainfall products over Africa with TAHMO in situ rainfall observations. J. Hydrometeor., 23, 11311154, https://doi.org/10.1175/JHM-D-21-0161.1.

    • Search Google Scholar
    • Export Citation
  • Maidment, R. I., D. I. F. Grimes, R. P. Allan, H. Greatrex, C. Rojas, and O. Leo, 2013: Evaluation of satellite-based and model re-analysis rainfall estimates for Uganda. Meteor. Appl., 20, 308317, https://doi.org/10.1002/met.1283.

    • Search Google Scholar
    • Export Citation
  • Mason, S. J., and N. E. Graham, 2002: Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation. Quart. J. Roy. Meteor. Soc., 128, 21452166, https://doi.org/10.1256/003590002320603584.

    • Search Google Scholar
    • Export Citation
  • Misra, V., 2004: An evaluation of the predictability of austral summer season precipitation over South America. J. Climate, 17, 11611175, https://doi.org/10.1175/1520-0442(2004)017<1161:AEOTPO>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Misra, V., C. B. Jayasankar, P. Beasley, and A. Bhardwaj, 2022: Operational monitoring of the evolution of rainy season over Florida. Front. Climate, 4, 793959, https://doi.org/10.3389/fclim.2022.793959.

    • Search Google Scholar
    • Export Citation
  • Misra, V., S. Dixit, and C. B. Jayasankar, 2023: The regional diagnosis of onset and demise of the rainy season over tropical and subtropical Australia. Earth Interact., 27, https://doi.org/10.1175/EI-D-22-0026.1.

    • Search Google Scholar
    • Export Citation
  • Murakami, T., L.-X. Chen, A. Xie, and M. L. Shrestha, 1986: Eastward propagation of 30–60 day perturbations as revealed from outgoing longwave radiation data. J. Atmos. Sci., 43, 961971, https://doi.org/10.1175/1520-0469(1986)043<0961:EPODPA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Narotsky, C. D., and V. Misra, 2022: The seasonal predictability of the wet season over Peninsular Florida. Int. J. Climatol., 42, 34083417, https://doi.org/10.1002/joc.7423.

    • Search Google Scholar
    • Export Citation
  • Nguyen, D.-Q., J. Renwick, and J. McGregor, 2014: Variations of monsoon rainfall: A simple unified index. Geophys. Res. Lett., 41, 575581, https://doi.org/10.1002/2013GL058155.

    • Search Google Scholar
    • Export Citation
  • Nicholson, S. E., 2013: The West African Sahel: A review of recent studies on the rainfall regime and its interannual variability. Int. Scholarly Res. Not., 2013, 453521, https://doi.org/10.1155/2013/453521.

    • Search Google Scholar
    • Export Citation
  • Nicholson, S. E., and D. A. Klotter, 2021: Assessing the reliability of satellite and reanalysis estimates of rainfall in equatorial Africa. Remote Sens., 13, 3609, https://doi.org/10.3390/rs13183609.

    • Search Google Scholar
    • Export Citation
  • NOAA/NCEI, 1999: Global Surface Summary of the Day – GSOD, version 1.0. NOAA National Centers for Environmental Information, accessed 10 July 2024, https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00516.

  • Palmer, P. I., and Coauthors, 2023: Drivers and impacts of eastern African rainfall variability. Nat. Rev. Earth Environ., 4, 254270, https://doi.org/10.1038/s43017-023-00397-x.

    • Search Google Scholar
    • Export Citation
  • Peyrillé, P., J.-P. Lafore, and J.-L. Redelsperger, 2007: An idealized two-dimensional framework to study the West African monsoon. Part I: Validation and key controlling factors. J. Atmos. Sci., 64, 27652782, https://doi.org/10.1175/JAS3919.1.

    • Search Google Scholar
    • Export Citation
  • Redelsperger, J.-L., A. Diongue, A. Diedhiou, J.-P. Ceron, M. Diop, J.-F. Gueremy, and J.-P. Lafore, 2002: Multi-scale description of a Sahelian synoptic weather system representative of the West African monsoon. Quart. J. Roy. Meteor. Soc., 128, 12291257, https://doi.org/10.1256/003590002320373274.

    • Search Google Scholar
    • Export Citation
  • Rowell, D. P., C. K. Folland, K. Maskell, J. A. Owen, and M. N. Ward, 1992: Modelling the influence of global sea surface temperatures on the variability and predictability of seasonal Sahel rainfall. Geophys. Res. Lett., 19, 905908, https://doi.org/10.1029/92GL00939.

    • Search Google Scholar
    • Export Citation
  • Satgé, F., D. Defrance, B. Sultan, M.-P. Bonnet, F. Seyler, N. Rouché, F. Pierron, and J.-E. Paturel, 2020: Evaluation of 23 gridded precipitation datasets across West Africa. J. Hydrol., 581, 124412, https://doi.org/10.1016/j.jhydrol.2019.124412.

    • Search Google Scholar
    • Export Citation
  • Shukla, J., and Coauthors, 2000: Dynamical seasonal prediction. Bull. Amer. Meteor. Soc., 81, 25932606, https://doi.org/10.1175/1520-0477(2000)081<2593:DSP>2.3.CO;2.

    • Search Google Scholar
    • Export Citation
  • Sivakumar, M. V. K., 1988: Predicting rainy season potential from the onset of rains in southern Sahelian and Sudanian climatic zones of West Africa. Agric. For. Meteor., 42, 295305, https://doi.org/10.1016/0168-1923(88)90039-1.

    • Search Google Scholar
    • Export Citation
  • Sultan, B., and S. Janicot, 2003: The West African monsoon dynamics. Part II: The “preonset” and “onset” of the summer monsoon. J. Climate, 16, 34073427, https://doi.org/10.1175/1520-0442(2003)016<3407:TWAMDP>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Sultan, B., C. Baron, M. Dingkuhn, B. Sarr, and S. Janicot, 2005: Agricultural impacts of large-scale variability of the West African monsoon. Agric. For. Meteor., 128, 93110, https://doi.org/10.1016/j.agrformet.2004.08.005.

    • Search Google Scholar
    • Export Citation
  • Sylla, M. B., E. Coppola, L. Mariotti, F. Giorgi, P. M. Ruti, A. Dell’Aquila, and X. Bi, 2010: Multiyear simulation of the African climate using a regional climate model (RegCM3) with the high resolution ERA-interim reanalysis. Climate Dyn., 35, 231247, https://doi.org/10.1007/s00382-009-0613-9.

    • Search Google Scholar
    • Export Citation
  • Thorncroft, C. D., H. Nguyen, C. Zhang, and P. Peyrillé, 2011: Annual cycle of the West African monsoon: Regional circulations and associated water vapour transport. Quart. J. Roy. Meteor. Soc., 137, 129147, https://doi.org/10.1002/qj.728.

    • Search Google Scholar
    • Export Citation
  • Wu, M.-L. C., O. Reale, S. D. Schubert, M. J. Suarez, R. D. Koster, and P. J. Pegion, 2009: African easterly jet: Structure and maintenance. J. Climate, 22, 44594480, https://doi.org/10.1175/2009JCLI2584.1.

    • Search Google Scholar
    • Export Citation
  • Xie, P., M. Chen, S. Yang, A. Yatagai, T. Hayasaka, Y. Fukushima, and C. Liu, 2007: A gauge-based analysis of daily precipitation over East Asia. J. Hydrometeor., 8, 607626, https://doi.org/10.1175/JHM583.1.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 134 134 134
Full Text Views 1434 1434 6
PDF Downloads 272 272 7