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Suitability of the TRMM satellite rainfalls in driving a distributed hydrological model for water
balance computations in Xinjiang catchment, Poyang lake basin
By: Li, XH (Li, Xiang-Hu)[ 1 ] ; Zhang, Q (Zhang, Qi) [ 1 ] ; Xu, CY (Xu, Chong-Yu) [ 2,3 ]
43 Times Cited
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46 Cited References
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JOURNAL OF HYDROLOGY
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Volume: 426 Pages: 28-38
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DOI: 10.1016/j.jhydrol.2012.01.013
(data from Web of Science TM Core
Collection)
Published: MAR 21 2012
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Abstract
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Spatial rainfall is a key input to distributed hydrological models, and its precisions heavily affect the accuracy of stream flow predictions from a hydrological
59 in All Databases
model. Traditional interpolation techniques which obtain the spatial rainfall distribution from rain gauge data have some limitations caused by data scarcity
43 in Web of Science Core Collection
and bad quality, especially in developing countries or remote locations. Satellite-based precipitation products are expected to offer an alternative to ground-
13 in BIOSIS Citation Index
based rainfall estimates in the present and the foreseeable future. For this purpose, the quality and usefulness of satellite-based precipitation products need
18 in Chinese Science Citation
Database
to be evaluated. The present study compares the difference of Tropical Rainfall Measuring Mission (TRMM) rainfall with rain gauges data at different time
scales and evaluates the usefulness of the TRMM rainfall for hydrological processes simulation and water balance analysis at the Xinjiang catchment,
0 in Data Citation Index
located in the lower reaches of the Yangtze River in China. The results show at daily time step TRMM rainfall data are better at determining rain
0 in Russian Science Citation Index
occurrence and mean values than at determining the rainfall extremes, and larger difference exists for the maximal daily and maximal 5-day rainfalls. At
0 in SciELO Citation Index
monthly time scale, good linear relationships between TRMM rainfall and rain gauges rainfall data are received with the determination coefficients (R-2)
varying between 0.81 and 0.89 for the individual stations and 0.88 for areal average rainfall data, respectively. But the slope of regression line ranges
between 0.74 for Yingtan and 0.94 for Yushan, indicating that the TRMM satellite is inclined to underestimate the monthly rainfall in this area. The
simulation of daily hydrological processes shows that the Water Flow Model for Lake Catchment (WATLAC) model using conventional rain gauge data
produces an overall good fit, but the simulation results using TRMM rainfall data are discontented. The evaluation results imply that the TRMM rainfall data
are unsuited for daily stream flow simulation in this study area with desired precisions. However, good performance can be received using TRMM rainfall
data for monthly stream flow simulations. The comparison of the simulated annual water balance components shows that the different rainfall data sources
can change the volume value and proportion of water balance components to some extent, but it generally meets the need of practical use. (C) 2012
Elsevier B.V. All rights reserved.
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Author Keywords: Rainfall; TRMM; Hydrological process; Water balance; Distributed hydrological model; Xinjiang catchment
KeyWords Plus: TERRESTRIAL BIOPHYSICAL PARAMETERS; MULTIVARIATE SPATIAL INTERPOLATION; TROPICAL RAINFALL; GLOBAL FIELDS;
NDVI DATA; PRECIPITATION; AFRICA; EVAPOTRANSPIRATION; VALIDATION; GENERATION
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Koutsouris, Alexander J. Comparing
global precipitation data sets in
eastern Africa: a case study of
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Reprint Address: Zhang, Q (reprint author)
Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, 73 E Beijing Rd, Nanjing 210008, Peoples R China.
Kilombero Valley, Tanzania .
INTERNATIONAL JOURNAL OF
CLIMATOLOGY, MAR 30 2016.
Addresses:
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[ 1 ] Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing 210008, Peoples R China
[ 2 ] Univ Oslo, Dept Geosci, Oslo, Norway
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[ 3 ] Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing, Jiangsu, Peoples R China
E-mail Addresses: lxh8010@yahoo.com.cn; qzhang@niglas.ac.cn; c.y.xu@geo.uio.no
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Funding
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Funding Agency
Chinese Academy of Sciences Grant Number
KZCX2-YW-Q10-3 KZCX2-YW-337 National Basic Research Program of China (973 Program) 2012CB417003 Ministry of Water Resources 200901042 National Natural Science Foundation of China Science Foundation of Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences 41101024 40871026 NIGLAS2010XK02 NIGLAS2010QD02 View funding text Publisher
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Categories / Classification
Research Areas: Engineering; Geology; Water Resources
Web of Science Categories: Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
Document Information
Document Type: Article
Language: English
Accession Number: WOS:000301805000003
ISSN: 0022-1694
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Other Information
IDS Number: 912MT
Cited References in Web of Science Core Collection: 46
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