N: 85.044 S: -85.044 E: 180 W: -180
TABLE OF CONTENTS
Description
SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products:
- SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/9LNYIYOBNBR5)
- SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/0D8JT6S27BS9)
- SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/5C36BVQZW28K).
For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.
Version Description
Changes to this version include:
- The Level-4 soil moisture algorithm was re-calibrated to work with the substantially changed calibration of the assimilated Level-1C brightness temperatures.
- The brightness temperature scaling parameters in the updated Level-4 soil moisture algorithm are based on five years of SMAP observations (April 2015 – March 2020).
- The land surface modeling system underpinning the updated Level-4 soil moisture algorithm was revised in the following ways:
* Improved surface aerodynamic roughness length (z0) formulation, including use of a stem area index.
* Corrected an error in the fitting procedure used for one of the topography-related functions in the Catchment model, which potentially affected the simulation of soil moisture in about 2% of all land surface elements (De Lannoy et al. 2014).
* Updated calibration of the microwave radiative transfer model parameters.
- The updated Level-4 soil moisture algorithm includes major software upgrades, including full compliance with the Earth System Modeling Framework, a modular and extensible software design approach, for improved support of future science development.
- Minor bug fixes.
For the full major and minor version history, go to https://nsidc.org/data/smap/data_versions.
Product Summary
Platforms
GEOS-5
,
Instruments
NOT APPLICABLE
,
Spatial Extent
Spatial Resolution
9 Kilometers x 9 Kilometers
Spatial Reference System(s)
WGS 84 / NSIDC EASE-Grid 2.0 Global (EPSG:6933)
Location
GLOBAL LAND
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2015-03-31 to 2021-12-06
Temporal Resolution
3 Hour
Concept ID
C2872768113-NSIDC_CPRD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
4
Published
Updated
Science Keywords
Surface Soil Moisture
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
Copy Citation
Citation Copied
Reichle, R., De Lannoy, G., Koster, R., Crow, W., Kimball, J., & Liu, Q. (2020). SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update, Version 5 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/0D8JT6S27BS9 Date Accessed: 2026-08-03
Reichle, R., De Lannoy, G., Koster, R., Crow, W., Kimball, J., & Liu, Q. (2020). SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update, Version 5 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/0D8JT6S27BS9 Date Accessed: 2026-08-03
Reichle, Rolf, et al. “SMAP L4 Global 3-Hourly 9 Km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update, Version 5.” NASA National Snow and Ice Data Center Distributed Active Archive Center, 2020, https://doi.org/10.5067/0D8JT6S27BS9. Date Accessed: 2026-08-03
TABLE OF CONTENTS
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
DATA PRODUCT SPECIFICATION
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
Filters
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| An Improvement to the Three-Cornered Hat Method: A Case Study in Applying to Soil Moisture Datasets | Chai, Linna, Yang, Shiqi, Zhao, Shaojie | Surface Soil Moisture | |
| IMERG Precipitation Improves the SMAP Level-4 Soil Moisture Product | Reichle, Rolf H., Liu, Qing, Ardizzone, Joseph V., Crow, Wade T., De Lannoy, Gabrielle J. M., Kimball, John S., Koster, Randal D. | Surface Soil Moisture, Soil Moisture/Water Content, Soil Temperature, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature | |
| An Exponential Filter Model-Based Root-Zone Soil Moisture Estimation | Yang, Yanqing, Bao, Zhenxin, Wu, Houfa, Wang, Guoqing, Liu, Cuishan, Wang, Jie, Zhang, Jianyun | Surface Soil Moisture | |
| Forecasting Soil Moisture Using a Deep Learning Model Integrated with Passive Microwave Retrieval | Kannan, Archana, Tsagkatakis, Grigorios, Akbar, Ruzbeh, Selva, Daniel, Ravindra, Vinay, Levinson, Richard, Nag, Sreeja, Moghaddam, Mahta | Surface Soil Moisture | |
| Serial droughts and loss of hydrologic resilience in a subtropical basin: The case of water inflow into the Cantareira reservoir system in Brazil during 2013 ... | Domingues, Leonardo Moreno, da Rocha, Humberto Ribeiro | Surface Soil Moisture |
You're viewing 5 of 5