Yin et al. (2026) National Oceanic and Atmospheric Administration Soil Moisture Operational Product System: An overview and data assimilation applications
⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.
Identification
- Journal: Vadose Zone Journal
- Year: 2026
- Date: 2026-07-01
- Authors: Jifu Yin, Xiwu Zhan, Jicheng Liu, Jong Kim, Chan‐Hoo Jeon, Gillian Petro
- DOI: 10.1002/vzj2.70122
Research Groups
- National Oceanic and Atmospheric Administration–National Environmental Satellite, Data, and Information Service (NESDIS)
- Soil Moisture Active and Passive (SMAP) team
Short Summary
This paper introduces the Soil Moisture Operational Product System (SMOPS), a one-stop shop for microwave satellite soil moisture observations, and highlights its key features and developments. SMOPS offers high-quality products, comparable to those of the SMAP mission.
Objective
- To provide a comprehensive overview of the major characteristics and features of SMOPS datasets
Study Configuration
- Spatial Scale: Global (with focus on 25 km resolution)
- Temporal Scale: Near real-time (NRT) and climate data record (CDR)
Methodology and Data
- Models used:
- Machine learning models for downscaling and blending
- Satellite observations from various sensors
- Data sources:
- Microwave satellite soil moisture retrievals
- SMAP product as a benchmark
Main Results
- High-quality SMOPS products comparable to those of the SMAP mission
- Satisfactory consistency between SMOPShr and SMOPScdr
- SMOPShr provides more detailed spatial information than SMOPScdr
Contributions
- Development of a one-stop shop for microwave satellite soil moisture observations (SMOPS)
- Introduction of machine learning models for downscaling and blending
- Provision of high-quality products comparable to those of the SMAP mission
Funding
- Not specified in the provided text
Citation
@article{Yin2026National,
author = {Yin, Jifu and Zhan, Xiwu and Liu, Jicheng and Kim, Jong and Jeon, Chan‐Hoo and Petro, Gillian},
title = {National Oceanic and Atmospheric Administration Soil Moisture Operational Product System: An overview and data assimilation applications},
journal = {Vadose Zone Journal},
year = {2026},
doi = {10.1002/vzj2.70122},
url = {https://doi.org/10.1002/vzj2.70122}
}
Original Source: https://doi.org/10.1002/vzj2.70122