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Description

This data set is retired and no longer available for download. We recommend using the <a href="https://nsidc.org/data/spl4cmdl">newest version of SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange</a> (SPL4CMDL) data set as an alternative. </p>

The Level-4 (L4) carbon product (SPL4CMDL) provides global gridded daily estimates of net ecosystem carbon (CO2) exchange derived using a satellite data based terrestrial carbon flux model informed by the following: Soil Moisture Active Passive (SMAP) L-band microwave observations, land cover and vegetation inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and the Goddard Earth Observing System Model, Version 5 (GEOS-5) land model assimilation system. Parameters are computed 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 primarily reflect BPLUT recalibration and SOC re-initialization in response to updates to the upstream input datasets. Specifically: • Revised SPL4CMDL global BPLUT calibration and SOC initialization using the latest SMAP Nature Run (NRv9.1) soil moisture and soil temperature data, and MERRA-2 surface meteorology. • The carbon model BPLUT, Vv6040, has been recalibrated using the most recent FLUXNET2015 global tower site synthesis record, which includes 356 sites representing all major global plant functional type (PFT) classes. • Adjusted model SOC decay parameters based on comparison with other global assessments, which reduced SOC storage estimates in the tropics (20 S – 20 N) from the previous (V5) SPL4CMDL product release.

Product Summary

Platforms
Aqua ,
GEOS-5 ,
L4_C ,
SMAP ,
Suomi-NPP ,
Terra
Instruments
MODIS ,
NOT APPLICABLE ,
SMAP L-BAND RADIOMETER ,
VIIRS
Spatial Extent

N: 85.044 S: -85.044 E: 180 W: -180

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 2022-11-08
Temporal Resolution
1 Day
Concept ID
C2872767628-NSIDC_CPRD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
4
Published
Science Keywords
Soil Organic Carbon (SOC)

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

Kimball, J., Jones, L., Endsley, A., Kundig, T., & Reichle, R. (2021). SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange, Version 6 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/L6C9EY1O8VIC Date Accessed: 2026-10-02

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
Monitoring fine-scale gross primary productivity along the Canadian
  • Melser, R., Coops, N. C., Travers-Smith, H., Wulder, M. A., Derksen, C., Knox, S. H.
Capturing constraints on boreal gross primary productivity using the
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Characterizing satellite-derived freeze/thaw regimes through spatial and temporal clustering for the identification of growing season constraints on vegetation productivity
  • Melser, Ramon, Coops, Nicholas C., Derksen, Chris
Modeling carbon burial along the land to ocean aquatic continuum:
  • Henry, Daniela, Catalan, Nuria, Obrador, Biel, Marce, Rafael
Modelling growing season carbon fluxes at a low-center polygon ecosystem
  • Skeeter, June, Christen, Andreas, Henry, Greg
Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern USPart 2: Sensitivity to dry-deposition ...
  • Huang, Min, Crawford, James H., Carmichael, Gregory R., Bowman, Kevin W., Kumar, Sujay V., Sweeney, Colm
Assessing the effectiveness of landscape-scale forest adaptation actions to improve resilience under projected climate change
  • Maxwell, Charles J., Scheller, Robert M., Wilson, Kristen N., Manley, Patricia N.
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