DOI: 10.5194/hess-21-169-2017
Scopus记录号: 2-s2.0-85009255573
论文题名: Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau
作者: Liu X ; , Yang T ; , Hsu K ; , Liu C ; , Sorooshian S
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 1 起始页码: 169
结束页码: 181
语种: 英语
Scopus关键词: Climate change
; Climate models
; Gages
; Neural networks
; Precipitation (meteorology)
; Rain
; Rain gages
; Rivers
; Soil moisture
; Stream flow
; Watersheds
; Alternative information
; Climate data records
; Hydrological process
; Land data assimilation systems
; Precipitation estimation from remotely sensed information
; Precipitation interpolation
; Precipitation products
; Streamflow simulations
; Clock and data recovery circuits (CDR circuits)
; artificial neural network
; climate change
; data set
; hydrological modeling
; precipitation (climatology)
; rainfall
; raingauge
; remote sensing
; river basin
; satellite data
; streamflow
; China
; Qinghai-Xizang Plateau
; Yangtze River
; Yellow River Basin
英文摘要: On the Tibetan Plateau, the limited ground-based rainfall information owing to a harsh environment has brought great challenges to hydrological studies. Satellite-based rainfall products, which allow for a better coverage than both radar network and rain gauges on the Tibetan Plateau, can be suitable alternatives for studies on investigating the hydrological processes and climate change. In this study, a newly developed daily satellite-based precipitation product, termed Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), is used as input for a hydrologic model to simulate streamflow in the upper Yellow and Yangtze River basins on the Tibetan Plateau. The results show that the simulated streamflows using PERSIANN-CDR precipitation and the Global Land Data Assimilation System (GLDAS) precipitation are closer to observation than that using limited gauge-based precipitation interpolation in the upper Yangtze River basin. The simulated streamflow using gauge-based precipitation are higher than the streamflow observation during the wet season. In the upper Yellow River basin, gauge-based precipitation, GLDAS precipitation, and PERSIANN-CDR precipitation have similar good performance in simulating streamflow. The evaluation of streamflow simulation capability in this study partly indicates that the PERSIANN-CDR rainfall product has good potential to be a reliable dataset and an alternative information source of a limited gauge network for conducting long-term hydrological and climate studies on the Tibetan Plateau. © 2017 The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79302
Appears in Collections: 气候变化事实与影响
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作者单位: Key Laboratory of Water Cycle and Related Land Surface Process, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Department of Civil and Environmental Engineering, University of California, Irvine, CA, United States
Recommended Citation:
Liu X,, Yang T,, Hsu K,et al. Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau[J]. Hydrology and Earth System Sciences,2017-01-01,21(1)