Improving satellite-based global rainfall erosivity estimates through merging with gauge data

• Published in: Journal of hydrology (Amsterdam) Vol. 620; p. 129555
• Main Authors: Fenta, Ayele Almaw, Tsunekawa, Atsushi, Haregeweyn, Nigussie, Yasuda, Hiroshi, Tsubo, Mitsuru, Borrelli, Pasquale, Kawai, Takayuki, Sewale Belay, Ashebir, Ebabu, Kindiye, Liyew Berihun, Mulatu, Sultan, Dagnenet, Asamin Setargie, Tadesaul, Elnashar, Abdelrazek, Panagos, Panos
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2023
• Subjects: Desertification; Erosivity density; Geographically Weighted Regression; GloREDa; GPM-IMERG; hydrology; land degradation; Merged rainfall erosivity; rain; satellites; soil erosion; standard deviation; Erosivity density; GloREDa; Merged rainfall erosivity; Geographically Weighted Regression; GPM-IMERG; Desertification

•An integrated approach is proposed for mapping global rainfallerosivity.•GWR was used to integrate rainfall erosivity from satellite and gauge data.•Merging GPM-IMERG with GloREDa improved rainfall erosivity estimates.•Global mean annual rainfall erosivity was estimated to be 2020 MJ mm ha−1 h−1 yr...