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2022 | OriginalPaper | Buchkapitel

14. Performance Evaluation of SM2RAIN-ASCAT Rainfall Product Over an Agricultural Watershed of India

verfasst von : Deen Dayal, Gagandeep Singh, Ashish Pandey, Praveen Kumar Gupta

Erschienen in: Geospatial Technologies for Land and Water Resources Management

Verlag: Springer International Publishing

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Abstract

Precipitation is an essential climatic variable for any hydrological study. For hydrological studies, obtaining the observed precipitation, whether real-time or historical, has been quite challenging. In this regard, satellite-based precipitation estimates play an essential role in enhancing the present hydrologic prediction capability. They are available at a high spatiotemporal resolution with global coverage. In the present study, a satellite soil moisture (retrieved from scatterometer data)-based rainfall product (SM2RAIN-ASCAT) was evaluated for its performance to the gauge-based India Meteorological Department (IMD) gridded dataset over the Betwa river basin. The evaluation of satellite-based daily rainfall was carried out based on qualitative (based on contingency table) and quantitative indicators for 2007 to 2019. In general, the SM2RAIN-ASCAT rainfall product is excellent in detecting the daily rainfall events over the Betwa basin, although some of the events are falsely detected. A fair to the good agreement has been observed between satellite rainfall against IMD rainfall product (d = 0.51 to 0.72). The mean absolute error (MAE) in satellite rainfall was found to be in the range of 2.05–3.63 mm/day. The SM2RAIN-ASCAT rainfall product is good for low rainfall events. However, high rainfall events are always underestimated. Thus, the analysis indicates that the SM2RAIN-ASCAT rainfall product can be utilized in hydrological studies of ungauged regions.

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Titel: Performance Evaluation of SM2RAIN-ASCAT Rainfall Product Over an Agricultural Watershed of India
verfasst von: Deen Dayal
Gagandeep Singh
Ashish Pandey
Praveen Kumar Gupta
Verlag: Springer International Publishing
Buch: Geospatial Technologies for Land and Water Resources Management
Print ISBN: 978-3-030-90478-4

Electronic ISBN: 978-3-030-90479-1

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-90479-1_14

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