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Probabilistic Freeze-Thaw Record for the Northern Hemisphere, 2016-2020

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/2323
Version1
Project
Published2024-04-24
Usage32 downloads

Description

This dataset provides a probabilistic freeze/thaw (FT) data record from 2016 to 2020 for the Northern Hemisphere derived using a deep learning model (U-Net). The model was informed by satellite multi-frequency microwave brightness temperature retrievals from the NASA SMAP (Soil Moisture Active Passive) and JAXA AMSR2 (Advanced Microwave Scanning Radiometer 2) radiometers, and trained using daily soil temperature observations from Northern Hemisphere weather stations and global reanalysis data (ERA-5). Unlike other available FT data records that provide only a binary classification of frozen or non-frozen conditions, this product includes both binary FT and continuous variable estimates of the probability of thawed conditions. This product is designed to complement other established binary FT data records, including the NASA FT Earth System Data Record and SMAP Level 3 FT operational products, by providing a probabilistic FT variable with enhanced accuracy and sensitivity to near-surface (<=5 cm depth) soil FT condition. The data are provided in cloud optimized GeoTIFF (COG) format.

Science Keywords

  • LAND SURFACE
  • FROZEN GROUND
  • SEASONALLY FROZEN GROUND
  • CRYOSPHERE
  • FROZEN GROUND
  • SEASONALLY FROZEN GROUND

Data Use and Citation

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Crosscite Citation Formatter
Du, J., and J.S. Kimball. 2023. Probabilistic Freeze-Thaw Record for the Northern Hemisphere, 2016-2020. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2323

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

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Companion Files

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Dataset has 1 companion files.

  • Freeze_Thaw_NorthernHemisphere.pdf