T
Tommaso Moramarco
Researcher at National Research Council
Publications - 189
Citations - 8034
Tommaso Moramarco is an academic researcher from National Research Council. The author has contributed to research in topics: Stage (hydrology) & Hydrograph. The author has an hindex of 44, co-authored 179 publications receiving 6782 citations. Previous affiliations of Tommaso Moramarco include Louisiana State University & Texas A&M University.
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Journal ArticleDOI
Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe
Luca Brocca,S. Hasenauer,Teodosio Lacava,Florisa Melone,Tommaso Moramarco,Wolfgang Wagner,Wouter Dorigo,Patrick Matgen,José Martínez-Fernández,Pilar Llorens,Jérôme Latron,C. Martin,Marco Bittelli +12 more
TL;DR: In this article, a comprehensive assessment of the reliability of soil moisture estimations from the Advanced SCATterometer (ASCAT) and AMSR-E sensors is carried out by using observed and modelled soil moisture data over 17 sites located in 4 countries across Europe (Italy, Spain, France and Luxembourg).
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Spatial-temporal variability of soil moisture and its estimation across scales
TL;DR: In this paper, the authors used a portable Time Domain Reflectometer (TDRS) to measure the soil moisture at the field and catchment scale. But the accuracy of the measured soil moisture was only 2.38%.
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Soil moisture spatial variability in experimental areas of central Italy
TL;DR: In this article, the authors investigated the soil moisture spatial pattern obtained from spot measurements carried out in different experimental plots located in small basins of Central Italy using a portable time domain reflectometer (TDR) over regular grids whose areas ranging in extension from 9 to 8800 m2.
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Improving runoff prediction through the assimilation of the ASCAT soil moisture product
Luca Brocca,Florisa Melone,Tommaso Moramarco,Wolfgang Wagner,Vahid Naeimi,Vahid Naeimi,Z. Bartalis,S. Hasenauer +7 more
TL;DR: In this paper, the authors compared the soil wetness index (SWI) derived from the Advanced SCATterometer (ASCAT) sensor onboard of the Metop satellite with the soil moisture temporal pattern derived from a continuous rainfall-runoff model (MISDc) to assess its relationship with modeled data.
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Soil as a natural rain gauge: Estimating global rainfall from satellite soil moisture data
Luca Brocca,Luca Ciabatta,Christian Massari,Tommaso Moramarco,Sebastian Hahn,S. Hasenauer,R. Kidd,Wouter Dorigo,Wolfgang Wagner,Vincenzo Levizzani +9 more
TL;DR: In this article, a bottom-up approach is proposed that, by doing hydrology backward, uses variations in soil moisture (SM) sensed by microwave satellite sensors to infer preceding rainfall amounts.