Articles | Volume 21, issue 3
https://doi.org/10.5194/nhess-21-1051-2021
https://doi.org/10.5194/nhess-21-1051-2021
Research article
 | 
19 Mar 2021
Research article |  | 19 Mar 2021

Wet and dry spells in Senegal: comparison of detection based on satellite products, reanalysis, and in situ estimates

Cheikh Modou Noreyni Fall, Christophe Lavaysse, Mamadou Simina Drame, Geremy Panthou, and Amadou Thierno Gaye

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Cited articles

Alhassane, A., Salack, S., Ly, M., Lona, I., Traore, S., and Sarr, B.: Evolution of agro-climatic risks related to the recent trends of the rainfall regime over the Sudano-Sahelian region of West Africa, Sci. Changem. Planet., 24, 282–293, https://doi.org/10.1684/sec.2013.0400, 2013. a
Ali, A., Amani, A., Diedhiou, A., and Lebel, T.: Rainfall Estimation in the Sahel. Part II: Evaluation of Rain Gauge Networks in the CILSS Countries and Objective Intercomparison of Rainfall Products, J. Appl. Meteorol., 44, 1707–1722, https://doi.org/10.1175/JAM2305.1, 2005. a
ARC: Risk Pool I, available at: https://www.africanriskcapacity.org/impact/ (last access: 28 January 2021), 2014. a
Barring, L., Holt, T., Linderson, M.-L., Radziejewski, M., Moriondo, M., and Palutikof, J.: Defining dry wet spells for point observations, observed area averages, and regional climate model gridboxes in Europe, Clim. Res., 31, 35–49, https://doi.org/10.3354/cr031035, 2006. a
Beck, H. E., Pan, M., Roy, T., Weedon, G. P., Pappenberger, F., van Dijk, A. I. J. M., Huffman, G. J., Adler, R. F., and Wood, E. F.: Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS, Hydrol. Earth Syst. Sci., 23, 207–224, https://doi.org/10.5194/hess-23-207-2019, 2019. a
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Short summary
Extreme wet and dry rainfall periods over Senegal provided by satellite, reanalyses, and ground observations are compared. Despite a spatial coherence of seasonal rainfall accumulation between all products, discrepancies are found at intra-seasonal timescales. All datasets highlight comparable seasonal cycles of dry and wet spells. Nevertheless, CHIRPS and TAMSAT are close to observations for the dry spells, whereas TRMM obtains the closest values of wet spells as regards the observations.
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