Spatiotemporal uncertainties of remote sensing precipitation datasets and their impacts on global flood simulations
- ADS bibcode
- 2018AGUFM.H33S2311W
- year
- 2018
- Listed Authors
- Wei, Z.
- He, X.
- Zhang, Y.
- Pan, M.
- Sheffield, J.
- Peng, L.
- Yamazaki, D.
- Kawasaki, A.
- Ikeuchi, K.
- Listed Institutions
- River and Environmental Engineering Laboratory, Department of Civil Engineering, University of Tokyo, Bunkyo-ku, Japan
- Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
- University of Arizona, Tucson, AZ, United States
- Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States
- Princeton University, Princeton, NJ, United States
- Princeton University, Princeton, NJ, United States
- Institute of Industrial Sciences, The University of Tokyo, Tokyo, Japan
- Civil Engineering Department, Univ. of Tokyo, Tokyo, Japan
- River and Environmental Engineering Laboratory, Department of Civil Engineering, University of Tokyo, Tokyo, Japan
Linked Authors [?]
Linked Institutions