SMAP‑HydroBlocks, a 30‑m satellite‑based soil moisture dataset for the conterminous US

Vergopolan, Noemi; Chaney, Nathaniel W.; Pan, Ming; Sheffield, Justin; Beck, Hylke E.; Ferguson, Craig R.; Torres-Rojas, Laura; Sadri, Sara; Wood, Eric F.

doi:10.1038/s41597-021-01050-2

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SMAP‑HydroBlocks, a 30‑m satellite‑based soil moisture dataset for the conterminous US

2021
By Vergopolan, Noemi ; Chaney, Nathaniel W. ; Pan, Ming ; ...
Source: Scientific Data, 8(264)

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Journal Title:

Scienctific Data
Personal Author:

Vergopolan, Noemi ; Chaney, Nathaniel W. ; Pan, Ming ; Sheffield, Justin ; Beck, Hylke E. ; ... More +

Vergopolan, Noemi ; Chaney, Nathaniel W. ; Pan, Ming ; Sheffield, Justin ; Beck, Hylke E. ; Ferguson, Craig R. ; Torres-Rojas, Laura ; Sadri, Sara ; Wood, Eric F. Less -
NOAA Program & Office:

CIMES (Cooperative Institute for Modeling the Earth System) ; OAR (Oceanic and Atmospheric Research)

CIMES (Cooperative Institute for Modeling the Earth System) ; OAR (Oceanic and Atmospheric Research) Less -
Description:

Soil moisture plays a key role in controlling land-atmosphere interactions, with implications for water resources, agriculture, climate, and ecosystem dynamics. Although soil moisture varies strongly across the landscape, current monitoring capabilities are limited to coarse-scale satellite retrievals and a few regional in-situ networks. Here, we introduce SMAP-HydroBlocks (SMAP-HB), a high-resolution satellite-based surface soil moisture dataset at an unprecedented 30-m resolution (2015–2019) across the conterminous United States. SMAP-HB was produced by using a scalable cluster-based merging scheme that combines high-resolution land surface modeling, radiative transfer modeling, machine learning, SMAP satellite microwave data, and in-situ observations. We evaluated the resulting dataset over 1,192 observational sites. SMAP-HB performed substantially better than the current state-of-the-art SMAP products, showing a median temporal correlation of 0.73 ± 0.13 and a median Kling-Gupta Efficiency of 0.52 ± 0.20. The largest benefit of SMAP-HB is, however, the high spatial detail and improved representation of the soil moisture spatial variability and spatial accuracy with respect to SMAP products.
Source:

Scientific Data, 8(264)
DOI:

https://doi.org/10.1038/s41597-021-01050-2
Document Type:

Journal Article
Funding:

Grant no. NA18OAR4320123 ; Grant no. NA19OAR4310368 ; Grant no. NA19OAR4590199

Grant no. NA18OAR4320123 ; Grant no. NA19OAR4310368 ; Grant no. NA19OAR4590199 Less -
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CC BY
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Submitted
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urn:sha256:7b51a1d4ec840608aa65333b8e8bea1179c5c596eb21255083d3115b9cd098ff
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https://repository.library.noaa.gov/view/noaa/43160/noaa_43160_DS1.pdf
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