research data . Dataset . 2021

SMAP-HydroBlocks: Hyper-resolution satellite-based soil moisture over the continental United States

Vergopolan, Noemi; Chaney, Nathaniel W.; Pan, Ming; Sheffield, Justin; Beck, Hylke E.; Ferguson, Craig R.; Torres-Rojas, Laura; Wood, Eric F.;
Open Access
  • Published: 18 Aug 2021
  • Publisher: Zenodo
Abstract
SMAP-HydroBlocks (SMAP-HB) is a hyper-resolution satellite-based surface soil moisture product that combines NASA's Soil Moisture Active-Passive (SMAP) L3 Enhance product, hyper-resolution land surface modeling, radiative transfer modeling, machine learning, and in-situ observations. The dataset was developed over the continental United States at 30-m 6-hourly resolution (2015–2019), and it reports the top 5-cm surface soil moisture in volumetric units (m3/m3). This repository contains the following two versions of the SMAP-HydroBlocks dataset: SMAP-HB_hru_6h.zip: SMAP-HydroBlocks data in the Hydrological Response Unit (HRU) space. Storing the data in the HRU space enables the entire 30-m 6-h dataset to be compressed to 33.8 GB. A python script and instructions to post-process and remap the data from the HRU-space into geographic coordinates (latitude, longitude) is provided at GitHub. After post-processed, files are stored in netCDF4 format with a Plate Carrée projection. SMAP-HB_1km_6h.zip: SMAP-HydroBlocks data at 1-km 6-h resolution. This aggregated version is already post-processed, and thus it is already in geographic coordinates (latitude, longitude), stored in netCDF4 format, with a Plate Carrée projection, and comprising 31.5 GB of data. Different subsets of the original dataset can be made available on request from Noemi Vergopolan (noemi.v.rocha@gmail.com). Data visualization, updates, and more information is available at https://waterai.earth/smaphb/ Please cite the following paper when using the dataset in any publication: Vergopolan, N., Chaney, N. W., Beck, H. E., Pan, M., Sheffield, J., Chan, S., & Wood, E. F. (2020). Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates. Remote Sensing of Environment, 242, 111740. https://doi.org/10.1016/j.rse.2020.111740 Vergopolan, N., Chaney, N.W., Pan, M. et al. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US. Sci Data 8, 264 (2021). https://doi.org/10.1038/s41597-021-01050-2 To download all the files via command line, please try zenodo_get: pip install zenodo-get zenodo_get 5206725
Subjects
free text keywords: SMAP, HydroBlocks, hyper-resolution, soil moisture, hydrology, remote sensing, satellite, machine learning
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Open Access
ZENODO
Dataset . 2021
Providers: ZENODO
Open Access
ZENODO
Dataset . 2021
Providers: ZENODO
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