Performance Evaluation of Near-Real-Time Satellite Rainfall Estimates over Three Distinct Climatic Zones in Tropical West-Africa

Echeta, Odinakachukwu C.; Adjei, Kwaku Amaning; Andam-Akorful, Samuel A.; Gyamfi, Charles; Darko, Deborah; Odai, Samuel Nii; Kwarteng, Efiba Vidda Senkyire

doi:10.1007/s40710-022-00613-8

Cited by 5 publications

(1 citation statement)

References 68 publications

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“…Several researchers have assessed the impacts of climate change on different regions around the globe [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. In addition, various studies have assessed rainfall trends for different regions around the world (e.g., [18][19][20][21][22][23][24][25][26][27][28][29][30][31]).…”

Section: Introductionmentioning

confidence: 99%

Drought Assessment in Greece Using SPI and ERA5 Climate Reanalysis Data

Kourtis,

Vangelis,

Tigkas

et al. 2023

Sustainability

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The present work aims to assess the spatial variability and the trends of the annual rainfall and meteorological drought in the entire territory of Greece utilising the ERA5 reanalysis precipitation dataset of the European Centre for Medium-Range Weather Forecasts (ECMWF), which spans from January 1940 to December 2022 (an 83-year period). Drought assessment took place based on the Standardized Precipitation Index (SPI) for timescales ranging from 1 month to 12 months. Evaluation was carried out by calculating SPI using observed rainfall data from five meteorological stations. The annual rainfall and drought severity trends for timescales of 1 (SPI-1), 3 (SPI-3), 6 (SPI-6) and 12 (SPI-12) months were analysed using the Theil–Sen slope method and the Mann–Kendall trend test. The results indicate significant, both increasing and decreasing, annual precipitation trends at the 95% significance level for the Aegean Islands, western Crete and western mainland of Greece. The results also indicate significant drought trends for SPI-12 for the Aegean Islands and western Peloponnese. Trend analysis for SPI-1, SPI-3 and SPI-6 indicate a mixture of non-significantly increasing wetting trends and increasing drought trends at the national scale. In conclusion, the ERA5 dataset seems to be a valuable tool for drought monitoring at the spatial scale.

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Section: Introductionmentioning

confidence: 99%

Drought Assessment in Greece Using SPI and ERA5 Climate Reanalysis Data

Kourtis,

Vangelis,

Tigkas

et al. 2023

Sustainability

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Satellite rainfall performance evaluation and application to monitor meteorological drought: a case of Omo-Gibe basin, Ethiopia

Dejene,

Wedajo,

Bayissa

et al. 2023

Nat Hazards

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Application of Machine Learning and Remote Sensing for Gap-filling Daily Precipitation Data of a Sparsely Gauged Basin in East Africa

et al. 2023

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Access to spatiotemporal distribution of precipitation is needed in many hydrological applications. However, gauges often have spatiotemporal gaps. To mitigate this, we considered three main approaches: (i) using remotely sensing and reanalysis precipitation products; (ii) machine learning-based approaches; and (iii) a gap-filling software explicitly developed for filling the gaps of daily precipitation records. This study evaluated all approaches over a sparsely gauged basin in East Africa. Among the examined precipitation products, PERSIANN-CDR outperformed other satellite products in terms of root mean squared error (7.3 mm), and correlation coefficient (0.46) while having a large bias (50%) compared to the available in situ precipitation records. PERSIANN-CDR also demonstrates the highest skill in distinguishing rainy and non-rainy days. On the other hand, Random Forest outperformed all other approaches (including PERSIANN-CDR) with the least relative bias (-2%), root mean squared error (6.9 mm), and highest correlation coefficient (0.53).

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Performance Evaluation of Near-Real-Time Satellite Rainfall Estimates over Three Distinct Climatic Zones in Tropical West-Africa

Cited by 5 publications

References 68 publications

Drought Assessment in Greece Using SPI and ERA5 Climate Reanalysis Data

Drought Assessment in Greece Using SPI and ERA5 Climate Reanalysis Data

Satellite rainfall performance evaluation and application to monitor meteorological drought: a case of Omo-Gibe basin, Ethiopia

Application of Machine Learning and Remote Sensing for Gap-filling Daily Precipitation Data of a Sparsely Gauged Basin in East Africa

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