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Evaluation of the Tropical Rainfall Measuring Mission (TRMM) 3B42 and 3B43 products relative to Synoptic Weather Station Observations over Cameroon
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  • Roméo S Tanessong,
  • P Moudi Igri,
  • Roméo S Tanessong,
  • Derbetini A Vondou,
  • Wilfried M Pokam,
  • J Taguemfo Kammalac,
  • S Kaïssassou,
  • G M Guenang,
  • A J Komkoua Mbienda,
  • Yepdo Djomou
Roméo S Tanessong
University of Dschang

Corresponding Author:tanessrs@yahoo.fr

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P Moudi Igri
Climate Prediction and Application Centre for Central Africa (CAPC-AC)
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Roméo S Tanessong
University of Dschang
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Derbetini A Vondou
University of Yaounde
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Wilfried M Pokam
University of Yaounde
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J Taguemfo Kammalac
University of Yaounde
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S Kaïssassou
University of Yaounde
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G M Guenang
University of Yaounde
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A J Komkoua Mbienda
University of Yaounde
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Yepdo Djomou
University of Yaounde
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Abstract

The Tropical Rainfall Measuring Mission (TRMM) daily (3B42) and monthly (3B43) rainfall products are evaluated relative to synoptic weather station observations in Cameroon and according to the main agro-climatic regions. In order to achieve this goal, deterministic and categorical metrics were used, as well as inter annual variability and seasonnal distributions. Outcomes of the comparison showed that synoptic weather station data are strongly correlated with the TRMM 3B43 data and that rainfall distribution is characteristic for each agro-climatic region. The highest skill scores were observed in the Sudano-sahelian, High Savannah, and Western Highlands zones, while the Uni-modal Equatorial zone displayed the lowest correspondence scores between TRMM rainfall estimates and station-based observations. Daily TRMM 3B42 showed good performance in detecting rainy events, especially for light and moderate intensity rainfall events. TRMM 3B42 overestimates rainfall intensities except in the uni-modal region where rainfall intensities are underestimated. Rainfall seasonnality, as well convective zone are well reproduced by the TRMM datasets. Overall, the skill of TRMM 3B42 decreases for increasing precipitation intensities.
25 Feb 2022Published in Congo Basin Hydrology, Climate, and Biogeochemistry on pages 97-119. 10.1002/9781119657002.ch7