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Qing Liu

Researcher at Goddard Space Flight Center

Publications -  31
Citations -  1768

Qing Liu is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Water content & Data assimilation. The author has an hindex of 16, co-authored 30 publications receiving 1414 citations. Previous affiliations of Qing Liu include Science Applications International Corporation.

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Assessment and Enhancement of MERRA Land Surface Hydrology Estimates

TL;DR: In this paper, the authors introduced a supplemental and improved set of land surface hydrological fields (MERRA-Land) generated by rerunning a revised version of the land component of the MERRA system.
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Assimilation of passive and active microwave soil moisture retrievals

TL;DR: In this article, the authors compared the impact of assimilating ASCAT and AMSR-E soil moisture data, both separately and together, according to land cover type, by comparison to in situ soil moisture observations.
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Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements

TL;DR: The Level-4 Surface and Root-Zone Soil Moisture (L4_SM) data product is generated by assimilating SMAP L-band brightness temperature observations into the NASA Catchment land surface model as mentioned in this paper.
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The Contributions of Precipitation and Soil Moisture Observations to the Skill of Soil Moisture Estimates in a Land Data Assimilation System

TL;DR: In this paper, the contributions of precipitation and soil moisture observations to soil moisture skill in a land data assimilation system are assessed using in situ observations in the continental United States at 37 single-profile sites within the Soil Climate Analysis Network (SCAN) for which skillful AMSR-E retrievals are available and at 4 USDA Agricultural Research Service (CalVal) watersheds with high-quality distributed sensor networks that measure soil moisture at the scale of land model and satel...
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An updated treatment of soil texture and associated hydraulic properties in a global land modeling system

TL;DR: In this paper, the authors describe the composition of a new soil texture data set and its implementation into a specific land surface modeling system, namely, the Catchment land surface model (LSM) of the NASA Goddard Earth Observing System version 5 (GEOS-5) modeling and assimilation framework.