|
|||||
|
|
Sub-seasonal extreme rainfall prediction in the Kelani River basin of Sri Lanka by using self-organizing map classification |
|
| Authors: | Vuillaume J. F. Dorji S. Komolafe A. Herath S. |
| Affiliation: | 1.United Nations University, Institute for the Advance of Sustainability, UNU-IAS, Tokyo, Japan ;2.Global Hydrology and Water Resources Engineering, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan ;3.National Center for Hydrology and Meteorology, Thimphu, Bhutan ;4.Remote Sensing and Geosciences Information System (GIS), Federal University of Technology, Akure, Ondo-State, Nigeria ;5.Ministry of Megapolis and Western Development, Government of Sri Lanka, Colombo, Sri Lanka ; |
| Abstract: | Natural Hazards - The availability of several multi-model and ensemble sub-seasonal forecasts online has generated a growing interest in extreme rainfall prediction and early warning. Developing... |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |