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ARS Home » Plains Area » El Reno, Oklahoma » Grazinglands Research Laboratory » Agroclimate and Natural Resources Research » Research » Publications at this Location » Publication #331905

Research Project: AGRICULTURAL LAND MANAGEMENT TO OPTIMIZE PRODUCTIVITY AND NATURAL RESOURCE CONSERVATION AT FARM AND WATERSHED SCALES

Location: Agroclimate and Natural Resources Research

Title: Downscaled soil moisture from SMAP evaluated using high density observations

Author
item Wakefield, Ryan - University Of Oklahoma
item Basara, Jeffery - Oklahoma Climate Survey
item Fang, Bin - University Of South Carolina
item Lakshmi, Venkat - University Of South Carolina
item Starks, Patrick - Pat
item Cosh, Michael
item Steiner, Jean
item Xiao, Xiangming - University Of Oklahoma

Submitted to: American Geophysical Union
Publication Type: Abstract Only
Publication Acceptance Date: 8/15/2016
Publication Date: 12/14/2016
Citation: Wakefield, R., Basara, J.B., Fang, B., Lakshmi, V., Starks, P.J., Cosh, M.H., Steiner, J.L., Xiao, X. 2016. Downscaled soil moisture from SMAP evaluated using high density observations [abstract] American Geophysical Union, December 12-16, 2016, San Francisco, California. Available: https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/136919.

Interpretive Summary: Abstract only.

Technical Abstract: Recently, a soil moisture downscaling algorithm based on a regression relationship between daily temperature changes and daily average soil moisture was developed to produce an enhanced spatial resolution on soil moisture product for the Advanced Microwave Scanning Radiometer–EOS (AMSR-E) satellite platform. This study applies the downscaling algorithm to coarse resolution observations collected by the Soil Moisture Active Passive (SMAP) satellite platform during the bulk of the growing season period spanning May through September for 2015 and 2016 over the Southern Great Plains (SGP) of the United States. The resultant downscaled soil moisture values at a spatial resolution of 1 km were compared with high density in situ observations at (1) the Marena Oklahoma In Situ Soil Moisture Testbed (MOISST) near Marena, OK and (2) three Integrated Grassland/Cropland Observing System (IGOS/ICOS) sites deployed at the United States Department of Agriculture (USDA) Grazinglands Research Laboratory (GRL) near El Reno, Oklahoma. Each in situ location (i.e., MOISST, two IGOS sites, and one ICOS site) includes a Cosmic Ray Soil Moisture Observing System (COSMOS) and point scale observations from various in situ sensors (e.g., Stevens Water Hydra Probe, Campbell Scientific 616 and 229, Decagon EC-TM, Delta-T Theta Probe, etc.) deployed in arrays within the COSMOS footprint. Each primary evaluation location (MOISST and GRL) also includes an Oklahoma Mesonet site.