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[PDF][PDF] SMAP handbook–soil moisture active passive: Map** soil moisture and freeze/thaw from space
D Entekhabi, S Yueh, PE O'Neill, KH Kellogg, A Allen… - 2014 - lirias.kuleuven.be
Active Passive (SMAP) mission will provide global measurements of soil moisture and its
freeze/thaw state from a 685‑km, near‑polar, sun‑synchronous orbit for a period of 3 years …
freeze/thaw state from a 685‑km, near‑polar, sun‑synchronous orbit for a period of 3 years …
Closing the gaps in our knowledge of the hydrological cycle over land: Conceptual problems
This paper reviews the conceptual problems limiting our current knowledge of the
hydrological cycle over land. We start from the premise that to understand the hydrological …
hydrological cycle over land. We start from the premise that to understand the hydrological …
[HTML][HTML] Improved quantitative prediction of power outages caused by extreme weather events
Power outages caused by extreme weather events cost the economy of the United States
billions of dollars every year and endanger the lives of the people affected by them. These …
billions of dollars every year and endanger the lives of the people affected by them. These …
[PDF][PDF] SMAP handbook
D Entekhabi, SI Yueh, G De Lannoy - 2014 - lirias.kuleuven.be
Active Passive (SMAP) mission will provide global measurements of soil moisture and its
freeze/thaw state from a 685‑km, near‑polar, sun‑synchronous orbit for a period of 3 years …
freeze/thaw state from a 685‑km, near‑polar, sun‑synchronous orbit for a period of 3 years …
Propagation of satellite precipitation uncertainties through a distributed hydrologic model: A case study in the Tocantins–Araguaia basin in Brazil
This study investigates the applicability of error corrections to satellite-based precipitation
products in streamflow simulations. A three-year time series (2008–2011) is considered …
products in streamflow simulations. A three-year time series (2008–2011) is considered …
The Canadian land data assimilation system (CaLDAS): Description and synthetic evaluation study
Abstract The Canadian Land Data Assimilation System (CaLDAS) has been developed at
the Meteorological Research Division of Environment Canada (EC) to better represent the …
the Meteorological Research Division of Environment Canada (EC) to better represent the …
[HTML][HTML] Machine learning-based error modeling to improve GPM IMERG precipitation product over the brahmaputra river basin
The Integrated Multisatellite Retrievals for Global Precipitation Measurement (GPM)(IMERG)
Level 3 estimates rainfall from passive microwave sensors onboard satellites that are …
Level 3 estimates rainfall from passive microwave sensors onboard satellites that are …
Effects of meteorological forcings and land surface model on soil moisture simulation over China
J Zeng, X Yuan, P Ji, C Shi - Journal of Hydrology, 2021 - Elsevier
Land surface model (LSM) simulations forced by observed meteorological data provide
spatially continuous and temporally complete soil moisture estimates, but the influences of …
spatially continuous and temporally complete soil moisture estimates, but the influences of …
[HTML][HTML] Deep learning convolutional neural network for the retrieval of land surface temperature from AMSR2 data in China
A convolutional neural network (CNN) algorithm was developed to retrieve the land surface
temperature (LST) from Advanced Microwave Scanning Radiometer 2 (AMSR2) data in …
temperature (LST) from Advanced Microwave Scanning Radiometer 2 (AMSR2) data in …
[HTML][HTML] Which rainfall score is more informative about the performance in river discharge simulation? A comprehensive assessment on 1318 basins over Europe
The global availability of satellite rainfall products (SRPs) at an increasingly high temporal
and spatial resolution has made their exploitation in hydrological applications possible …
and spatial resolution has made their exploitation in hydrological applications possible …