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Title: Validation of a new meteorological forcing data in analysis of spatial and temporal variability of precipitation in India
Authors: Li L.
Xu C.-Y.
Zhang Z.
Jain, Sharad Kumar
Published in: Stochastic Environmental Research and Risk Assessment
Abstract: During the past two decades, numerous datasets have been developed for global/regional hydrological assessment and modeling, but these datasets often show differences in their spatial and temporal distributions of precipitation, which is one of the most critical input variables in global/regional hydrological modeling. This paper is aimed to explore the precipitation characteristics of the Water and Global Change (WATCH) forcing data (WFD) and compare these with the corresponding characteristics derived from satellite-gauge data (TRMM 3B42 and GPCP 1DD) and rain gauge data. It compared the consistency and difference between the WFD and satellite-gauge data in India and examined whether the pattern of seasonal (winter, pre-monsoon, monsoon and post-monsoon) precipitation over six regions [e.g. North Mountainous India (NMI), Northwest India (NWI), North Central India (NCI), West Peninsular India (WPI), East Peninsular India (EPI) and South Peninsular India (SPI)] of India agrees well for the gridded data to be useful in precipitation variability analyses. The multi-time scale of precipitation in India was analysed by wavelet transformation method using gauged and WFD precipitation data. In general, precipitation from WFD is larger than that from satellite-gauge data in NMI and Western Ghats region whereas it is smaller in the dry region of NWI. Both WFD and satellite-gauge datasets underestimate precipitation compared to the measured data but the precipitation from WFD is better estimated than that from satellite-gauge data. It was found that the wavelet power spectrum of precipitation based on WFD is reasonably close to that of measured precipitation in NWI and NCI, while slightly different in NMI. It is felt that the WFD data can be used as a potential dataset for hydrological study in India. © 2013 Springer-Verlag Berlin Heidelberg.
Citation: Stochastic Environmental Research and Risk Assessment, 28(2): 239-252
Issue Date: 2014
Publisher: Springer Science and Business Media, LLC
Keywords: Gauge
Satellite-gauge data
WATCH forcing data
ISSN: 14363240
Author Scopus IDs: 55730901200
Author Affiliations: Li, L., Uni Climate, Uni Research, Bergen, Norway, Bjerknes Centre for Climate Research, Bergen, Norway, Department of Geosciences, University of Oslo, Postboks 7801, 5020 Bergen, Norway
Xu, C.-Y., Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, Norway, Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Zhang, Z., Jiangsu Key Laboratory of Forestry Ecological Engineering, Nanjing Forestry University, Nanjing, 210037, China
Jain, S.K., National Institute of Hydrology, Roorkee, 247 667, India
Funding Details: We thank Dr. Lebing Gong for setting the satellite-gauge data dataset. This study was jointly funded by the Research Council of Norway, Research project-JOINTINDNOR 203867, Department of Science and Technology, Govt. of India, and project 190159/V10 (SoCoCA). Department of Science and Technology, Ministry of Science and Technology, India, डीएसटी; Norges Forskningsråd: 203867
Corresponding Author: Xu, C.-Y.; Department of Geosciences, P.O. Box 1047, Blindern, 0316 Oslo, Norway; email:
Appears in Collections:Journal Publications [CE]

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