Ten Years of GLEAM: A Review of Scientific Advances and Applications

Jahromi, Mojtaba Naghdyzadegan; Miralles, Diego G.; Koppa, Akash; Zand‐Parsa, Shahrokh; Mosaffa, Hamidreza; Jamshidi, Sajad

doi:10.1007/978-981-19-2519-1_25

Cited by 1 publication

(1 citation statement)

References 92 publications

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“…Although the two terms are often used interchangeably, there is a clear line of distinction that broadly describes them. AET describes ET under the true conditions of the surface, while PET refers to the theoretical aspect of ET where water supply to a surface is limitless [20]. Furthermore, AET is the sum of the individual components, which GLEAM differentiates as bare soil evaporation (Eb), transpiration from short and tall vegetation (Et), snow sublimation (Es), open-water evaporation (Ew), and interception loss (Ei) from tall vegetation.…”

Section: Introductionmentioning

confidence: 99%

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

Nooni¹,

Ogou

Lü³

et al. 2023

Remote Sensing

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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.

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Section: Introductionmentioning

confidence: 99%