Temporal and Spatial Variations of Potential and Actual Evapotranspiration and the Driving Mechanism over Equatorial Africa Using Satellite and Reanalysis-Based Observation

Author:

Nooni Isaac Kwesi1ORCID,Ogou Faustin Katchele2ORCID,Lu Jiao1,Nakoty Francis Mawuli3ORCID,Chaibou Abdoul Aziz Saidou4,Habtemicheal Birhanu Asmerom5ORCID,Sarpong Linda6,Jin Zhongfang7ORCID

Affiliation:

1. School of Atmospheric Science and Remote Sensing, Wuxi University, Wuxi 214105, China

2. Laboratory of Atmospheric Physics, Department of Physics, University of Abomey-Calavi, Cotonou 01 BP 526, Benin

3. School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

4. Département de Physique, Faculté des Sciences et Techniques, Université Abdou Moumouni, Niamey BP 10662, Niger

5. Department of Physics, Wollo University, Dessie P.O. Box 1145, Ethiopia

6. College of Environment, Hohai University, Nanjing 210098, China

7. School of Electronic and Information Engineering, Wuxi University, Wuxi 214105, China

Abstract

This study investigated the actual evapotranspiration (AET) and potential evapotranspiration (PET) seasonality, trends, abrupt changes, and driving mechanisms with global sea surface temperature (SST) and atmospheric circulation patterns over Equatorial Africa (EQA) during 1980–2020. The spatiotemporal characteristics of mean ET were computed based on a 40-year average at annual and seasonal scales. The Mann-Kendall statistical test, the Sen slope test, and the Bayesian test were used to analyze trends and detect abrupt changes. The results showed that the mean annual PET (AET) for 1980–2020 was 110 (70) mm. Seasonal mean PET (AET) values were 112 (72) in summer, 110 (85) in autumn, 109 (84) in winter, and 110 (58) in spring. The MK test showed an increasing (decreasing) rate, and the Sen slope identified upward (downward) at a rate of 0.35 (0.05) mm yr−10. The PET and AET abrupt change points were observed to happen in 1995 and 2000. Both dry and wet regions showed observed weak (strong) correlation coefficient values of 0.3 (0.8) between PET/AET and climate factors, but significant spatiotemporal differences existed. Generally, air temperature, soil moisture, and relative humidity best explain ET dynamics rather than precipitation and wind speed. The regional atmospheric circulation patterns are directly linked to ET but vary significantly in space and time. From a policy perspective, these findings may have implications for future water resource management.

Funder

Wuxi University Starting Project

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference102 articles.

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