Impact of the crucial geographic and climatic factors on the input source errors of GPM-based global satellite precipitation estimates

• Published in: Journal of hydrology (Amsterdam) Vol. 575; pp. 1 - 16
• Main Authors: Chen, Hanqing, Yong, Bin, Gourley, Jonathan J., Liu, Jiufu, Ren, Liliang, Wang, Weiguang, Hong, Yang, Zhang, Jianyun
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2019
• Subjects: algorithms; arid zones; China; Climate; climatic factors; Elevation; GPM-GSMaP; hydrology; Mainland China; rain; satellites; Season; spring; summer; topography; winter; China; Mainland China; Climate; Elevation; Season; GPM-GSMaP

•We investigated the error features of the latest GPM-GSMaP estimates by separating the input sources.•We found that the input sources exhibit larger biases in the semi-arid and arid regions.•The retrievals of the input sources are affected by topography in different extents.•The performance of imag...