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Precipitation Estimation Using L-Band and C-Band Soil Moisture Retrievals

Articolo
Data di Pubblicazione:
2016
Abstract:
An established methodology for estimating precipitation amounts from satellite-based soil moisture retrievals is applied to L-band products from the Soil Moisture Active Passive (SMAP) and Soil Moisture and Ocean Salinity (SMOS) satellite missions and to a C-band product from the Advanced Scatterometer (ASCAT) mission. The precipitation estimates so obtained are evaluated against in situ (gauge-based) precipitation observations from across the globe. The precipitation estimation skill achieved using the L-band SMAP and SMOS datasets is higher than that obtained with the C-band product, as might be expected given that L-band is sensitive to a thicker layer of soil and thereby provides more information on the response of soil moisture to precipitation. The square of the correlation coefficient between the SMAP-based precipitation estimates and the observations (for aggregations to ~100 km and 5 days) is on average about 0.6 in areas of high rain gauge density. Satellite missions specifically designed to monitor soil moisture thus do provide significant information on precipitation variability, information that could contribute to efforts in global precipitation estimation.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
soil moisture; rainfall; remote sensing
Elenco autori:
Brocca, Luca
Autori di Ateneo:
BROCCA LUCA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/316707
Pubblicato in:
WATER RESOURCES RESEARCH
Journal
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URL

https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016WR019024
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