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Evaluation of TIGGE precipitation forecasts over West Africa at intraseasonal timescale

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Abstract

The study evaluated for the first time the ability of meteorological models of TIGGE to forecast the main features of the West African monsoon rainfall. Seven numerical models were retained over the 2008–2012 period and compared to satellite rainfall estimates. We focused on the seasonal cycle and in particular on the onset of the rainy season and on the intra-seasonal variability that are both of high importance for agriculture, water management and health sectors. We found that the seasonal latitudinal shift of the ITCZ is rather well predicted in terms of amplitude and timing by the different models although there is a systematic northward drift in the ITCZ latitude from the lead-times 1- to 10-day. Although the onset date of rainfall varies a lot according to the different definition in the literature, we also found good performance of TIGGE forecasts in predicting the onset date of the monsoon. The analysis of intra-seasonal variability revealed that the skill of TIGGE forecasts is decreasing with the lead-time from 1- to 15-day and the performance of the ensemble mean of all models overcomes the one of any individual models. Overall criteria used in this study (intra-seasonal fluctuations, onset and seasonal cycles), the skill of UKMO and ECMWF models is better than any other model. Based on such analysis it is likely than an ensemble mean based only on these two models would be more skillful than the ensemble mean based on the seven models. TIGGE forecasts represent a promising step towards the delivery of useful climate information to end-users of key sectors such as agriculture, water management, health and public safety.

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Acknowledgments

This study has been funded by Grant ≠ ANR-08-VMCS-001 under the project PICREVAT. We thank Pascal Oettli for his valuable help. We also thank the reviewers for their fruitful comments. We are also thankful to NOAA-CIRES Climate Diagnostics Center (Boulder, CO) for providing the interpolated OLR dataset from their Web site (online at http://www.cdc.noaa.gov/). TRMM data were retrieved from the website http://www.trmm.gsfc.nasa.gov. We thank also the US Agency for International Development (USAID) and the Famine Early Warning Systems Network (FEWS-NET) relied on NOAA/CPC to provide operational Rainfall Estimation algorithm RFE version 2.0 product. ERA-Interim was provided by the ECMWF Meteorological Archival and Retrieval System (MARS). MERRA data used in this study have been provided by the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center through the NASA GES DISC online archive. We are also indebted to the colleagues who made the TIGGE project happen and the data freely available.

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Correspondence to S. Louvet.

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Figure SM1a

Time-latitude diagrams of precipitation averaged over 10°W-10°E and 2008-2012 for RFE2 observations and 1-day forecast of every TIGGE models and of the TIGGE ensemble mean. (EPS 206 kb)

Figure SM1b

Same as Fig.3a but for the 5-day forecasts. (EPS 195 kb)

Figure SM1c

Same as Fig.3a but for the 10-day forecasts. (EPS 193 kb)

Figure SM2

a. Time-latitude diagrams of precipitation averaged over 10°W-10°E and 2008-2012 for RFE2 observations. b. Same as a. but with TRMM7. c. Daily mean of precipitation over JAS 2008-2012 period for RFE2. d. Same as c. but with TRMM7. e. Daily standard deviation of precipitation over JAS 2008-2012 period for RFE2 observations .f. Same as e. but with TRMM7. (EPS 4381 kb)

Figure SM3

Same as Figure 4b but with TRMM7. (EPS 4239 kb)

Figure SM4

Same as Figure 5 but with TRMM7 reference instead of RFE2. (EPS 3381 kb)

Figure SM5

Same as Figure 7 but with TRMM7 instead of RFE2. (EPS 1148 kb)

Figure SM6

Same as Figure 8 but with TRMM7 instead of RFE2. (EPS 879 kb)

Figure SM7

Equitable Threat Scores computed over Sudano-Sahelian region. Scores computed with TRMM7 instead of RFE2. (EPS 16 kb)

Figure SM8

As in Fig.11 but for 25-90-day filtered Sahelian rainfall from RFE2 and TRMM7 data. (EPS 12 kb)

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Louvet, S., Sultan, B., Janicot, S. et al. Evaluation of TIGGE precipitation forecasts over West Africa at intraseasonal timescale. Clim Dyn 47, 31–47 (2016). https://doi.org/10.1007/s00382-015-2820-x

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