ORNL DAAC Data Release - CMS: Geospatial Data for Modeling Soil Carbon Stocks across Pacific Northwest Watersheds

[ORNL - blancohl]

The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) released a new geospatial dataset for modeling soil carbon stocks across Pacific Northwest Watersheds for the Carbon Monitoring System (CMS).

The NASA Carbon Monitoring System (CMS) program is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System uses NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS data products are designed to inform near-term policy development and planning.

Geospatial Data for Modeling Soil Carbon Stocks across Pacific Northwest Watersheds

This dataset provides predicted soil organic carbon (SOC) for 2021-2022 (nominal) as well as the predictor data for spatial models in four watersheds of the Pacific Northwest (PNW). These data support the study of wetland carbon storage within this landscape. Field sample collection for soil carbon stocks at 114 locations provide observations for modeling and were collected through 2021-2022. The raster and vector predictor layers are sourced from lidar and satellite imagery, which span dates from 2012-2022. The four study watersheds include the Heen Latinee Experimental Forest (HLEF) located in southeast Alaska near Juneau and three watersheds in Washington state: the Hoh River Watershed (HRW) located on the west coast of the Olympic Peninsula, the Mashel River Watershed (MRW) located on the western side of the Cascade Mountain Range near Tahoma (Mt. Rainier), and the Colville Watershed (CVW) located in northeastern Washington.

The data are provided in comma separated values (CSV), GeoTIFF, and GeoPackage formats.

More information on this dataset and others like it can be found on the Carbon Monitoring System project landing page.

Citation: Stewart, A., Halabisky, M., D'amore, D. V., Spinola, D., Babcock, C., Moskal, L. M., & Butman, D. (2026). Geospatial Data for Modeling Soil Carbon Stocks across Pacific Northwest Watersheds (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2449

Related Manuscript: Stewart, A., Halabisky, M., D'amore, D. V., Spinola, D., Babcock, C., Moskal, L. M., & Butman, D. (2026). Improving soil organic carbon spatial distribution and interpretation of cross-scale drivers with probabilistic wetland representation. ESS Open Archive. https://doi.org/10.22541/essoar.176824771.13918967/v1