DOI: 10.5194/hess-21-3543-2017
Scopus记录号: 2-s2.0-85024406042
论文题名: Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset
作者: Zubieta R ; , Getirana A ; , Espinoza J ; C ; , Lavado-Casimiro W ; , Aragon L
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 7 起始页码: 3543
结束页码: 3555
语种: 英语
Scopus关键词: Hydrology
; Rain
; Rain gages
; Stream flow
; Amazonian region
; Distributed hydrological model
; Global precipitation measurement missions
; Hydrological modeling
; Precipitation data
; Rainfall estimates
; Satellite retrieval
; Tropical rainfall measurement missions
; Precipitation (meteorology)
; data set
; hydrological modeling
; precipitation (climatology)
; precipitation assessment
; rainfall
; satellite data
; streamflow
; TRMM
; Amazon Basin
; Ecuador
; Peru
; Ucayali Basin
英文摘要: In the last two decades, rainfall estimates provided by the Tropical Rainfall Measurement Mission (TRMM) have proven applicable in hydrological studies. The Global Precipitation Measurement (GPM) mission, which provides the new generation of rainfall estimates, is now considered a global successor to TRMM. The usefulness of GPM data in hydrological applications, however, has not yet been evaluated over the Andean and Amazonian regions. This study uses GPM data provided by the Integrated Multi-satellite Retrievals (IMERG) (product/final run) as input to a distributed hydrological model for the Amazon Basin of Peru and Ecuador for a 16-month period (from March 2014 to June 2015) when all datasets are available. TRMM products (TMPA V7 and TMPA RT datasets) and a gridded precipitation dataset processed from observed rainfall are used for comparison. The results indicate that precipitation data derived from GPM-IMERG correspond more closely to TMPA V7 than TMPA RT datasets, but both GPM-IMERG and TMPA V7 precipitation data tend to overestimate, compared to observed rainfall (by 11.1 and 15.7 %, respectively). In general, GPM-IMERG, TMPA V7 and TMPA RT correlate with observed rainfall, with a similar number of rain events correctly detected (∼ 20 %). Statistical analysis of modeled streamflows indicates that GPM-IMERG is as useful as TMPA V7 or TMPA RT datasets in southern regions (Ucayali Basin). GPM-IMERG, TMPA V7 and TMPA RT do not properly simulate streamflows in northern regions (Marañón and Napo basins), probably because of the lack of adequate rainfall estimates in northern Peru and the Ecuadorian Amazon. © 2017 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79116
Appears in Collections: 气候变化事实与影响
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作者单位: Subdirección de Ciencias de la Atmósfera e Hidrósfera (SCAH), Instituto Geofísico del Perú (IGP), Lima, Peru; Programa de Doctorado en Recursos Hídricos, Universidad Nacional Agraria La Molina, Peru; Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Earth System Science Interdisciplinary Center, College Park, MD, United States; Servicio Nacional de Meteorología e Hidrología (SENAMHI), Lima, Peru
Recommended Citation:
Zubieta R,, Getirana A,, Espinoza J,et al. Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset[J]. Hydrology and Earth System Sciences,2017-01-01,21(7)