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Validation of a new meteorological forcing data in analysis of spatial and temporal variability of precipitation in India
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
2014 (English)In: Stochastic environmental research and risk assessment (Print), ISSN 1436-3240, E-ISSN 1436-3259, Vol. 28, no 2, 239-252 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2014. Vol. 28, no 2, 239-252 p.
Keyword [en]
Precipitation, Variability, WATCH forcing data, Satellite-gauge data, TRMM-3B42, Gauge, India
National Category
Natural Sciences
URN: urn:nbn:se:uu:diva-216030DOI: 10.1007/s00477-013-0745-7ISI: 000328908200007OAI: oai:DiVA.org:uu-216030DiVA: diva2:689312

Correction in: Stochastic Environmental Research and Risk Assessment, Volume 28, Issue 5, p 1083 , doi: 10.1007/s00477-014-0858-7

Available from: 2014-01-20 Created: 2014-01-17 Last updated: 2014-07-11Bibliographically approved

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