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Machine Learning-Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS
Open AccessLetter

Scale Impact of Soil Moisture Observations to Noah-MP Land Surface Model Simulations

by 1,2,* and 2
1
ESSIC/CISESS, University of Maryland College Park, College Park, MD 20740, USA
2
NOAA NESDIS Center for Satellite Applications and Research, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(7), 1169; https://doi.org/10.3390/rs12071169
Received: 28 February 2020 / Revised: 31 March 2020 / Accepted: 2 April 2020 / Published: 6 April 2020
(This article belongs to the Special Issue Satellite Hydrological Data Products and Their Applications)
Due to the limitations of satellite antenna technology, current operational microwave soil moisture (SM) data products are typically at tens of kilometers spatial resolutions. Many approaches have thus been proposed to generate finer resolution SM data using ancillary information, but it is still unknown if assimilation of the finer spatial resolution SM data has beneficial impacts on model skills. In this paper, a synthetic experiment is thus conducted to identify the benefits of SM observations at a finer spatial resolution on the Noah-MP land surface model. Results of this study show that the performance of the Noah-MP model is significantly improved with the benefits of assimilating 1 km SM observations in comparison with the assimilation of SM data at coarser resolutions. Downscaling satellite microwave SM observations from coarse spatial resolution to 1 km resolution is recommended, and the assimilation of 1 km remotely sensed SM retrievals is suggested for NOAA National Weather Service and National Water Center. View Full-Text
Keywords: soil moisture; Noah-MP land surface model; data assimilation; spatial resolution soil moisture; Noah-MP land surface model; data assimilation; spatial resolution
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MDPI and ACS Style

Yin, J.; Zhan, X. Scale Impact of Soil Moisture Observations to Noah-MP Land Surface Model Simulations. Remote Sens. 2020, 12, 1169. https://doi.org/10.3390/rs12071169

AMA Style

Yin J, Zhan X. Scale Impact of Soil Moisture Observations to Noah-MP Land Surface Model Simulations. Remote Sensing. 2020; 12(7):1169. https://doi.org/10.3390/rs12071169

Chicago/Turabian Style

Yin, Jifu; Zhan, Xiwu. 2020. "Scale Impact of Soil Moisture Observations to Noah-MP Land Surface Model Simulations" Remote Sens. 12, no. 7: 1169. https://doi.org/10.3390/rs12071169

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