Ayele A Fenta, Atsushi Tsunekawa, Nigussie Haregeweyn, Hiroshi Yasuda, Mitsuru Tsubo, Pasquale Borrelli, Takayuki Kawai, Ashebir S Belay, Kindiye Ebabu, Mulatu L Berihun, Dagnenet Sultan, Tadesual A Setargie, Abdelrazek Elnashar, Arfan Arshad, Panos Panagos
Modeling monthly rainfall erosivity is vital to the optimization of measures to control soil erosion. Rain gauge data combined with satellite observations can aid in enhancing rainfall erosivity estimations. Here, we presented a framework which utilized Geographically Weighted Regression approach to model global monthly rainfall erosivity. The framework integrates long-term (2001-2020) mean annual rainfall erosivity estimates from IMERG (Global Precipitation Measurement (GPM) mission's Integrated Multi-satellitE Retrievals for GPM) with station data from GloREDa (Global Rainfall Erosivity Database, n = 3,286 stations)...
April 8, 2024: Scientific Reports