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Journal Articles Journal of Hydrometeorology Year : 2017

Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In Situ Measurements

Rolf H. Reichle
  • Function : Author
Gabrielle J. M. de Lannoy
  • Function : Author
Qing Liu
  • Function : Author
Joseph V. Ardizzone
  • Function : Author
Andreas Colliander
Austin Conaty
  • Function : Author
Wade Crow
  • Function : Author
Thomas J. Jackson
  • Function : Author
Lucas A. Jones
  • Function : Author
John S. Kimball
  • Function : Author
Randal D. Koster
  • Function : Author
Sarith P. Mahanama
  • Function : Author
Edmond B. Smith
  • Function : Author
Aaron Berg
David Bosch
Todd G. Caldwell
  • Function : Author
Michael Cosh
  • Function : Author
Ángel González-Zamora
  • Function : Author
Chandra D. Holifield Collins
  • Function : Author
Karsten H. Jensen
  • Function : Author
Stan Livingston
  • Function : Author
Ernesto Lopez-Baeza
José Martínez-Fernández
  • Function : Author
Heather Mcnairn
Mahta Moghaddam
Anna Pacheco
  • Function : Author
John Prueger
  • Function : Author
Tracy Rowlandson
  • Function : Author
Mark Seyfried
  • Function : Author
Patrick Starks
Zhongbo Su
  • Function : Author
Marc Thibeault
Rogier van Der Velde
  • Function : Author
Jeffrey Walker
Xiaoling Wu
  • Function : Author
Yijian Zeng

Abstract

The Soil Moisture Active Passive (SMAP) mission 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. The L4_SM product is available from 31 March 2015 to present (within 3 days from real time) and provides 3-hourly, global, 9-km resolution estimates of surface (0-5 cm) and root-zone (0-100 cm) soil moisture and land surface conditions. This study presents an overview of the L4_SM algorithm, validation approach, and product assessment versus in situ measurements. Core validation sites provide spatially averaged surface (root zone) soil moisture measurements for 43 (17) "reference pixels" at 9- and 36-km gridcell scales located in 17 (7) distinct watersheds. Sparse networks provide point-scale measurements of surface (root zone) soil moisture at 406 (311) locations. Core validation site results indicate that the L4_SM product meets its soil moisture accuracy requirement, specified as an unbiased RMSE (ubRMSE, or standard deviation of the error) of 0.04 m3 m-3 or better. The ubRMSE for L4_SM surface (root zone) soil moisture is 0.038 m3 m-3 (0.030 m3 m-3) at the 9-km scale and 0.035 m3 m-3 (0.026 m3 m-3) at the 36-km scale. The L4_SM estimates improve (significantly at the 5% level for surface soil moisture) over model-only estimates, which do not benefit from the assimilation of SMAP brightness temperature observations and have a 9-km surface (root zone) ubRMSE of 0.042 m3 m-3 (0.032 m3 m-3). Time series correlations exhibit similar relative performance. The sparse network results corroborate these findings over a greater variety of climate and land cover conditions.
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Dates and versions

insu-03668266 , version 1 (16-05-2022)

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Attribution - CC BY 4.0

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Rolf H. Reichle, Gabrielle J. M. de Lannoy, Qing Liu, Joseph V. Ardizzone, Andreas Colliander, et al.. Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In Situ Measurements. Journal of Hydrometeorology, 2017, 18, pp.2621-2645. ⟨10.1175/JHM-D-17-0063.1⟩. ⟨insu-03668266⟩
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