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Gridded CO2 and CH4 Flux Estimates for pan-Arctic and Boreal Regions, 2003-2015

Metadata Updated: March 28, 2024

This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), net ecosystem CO2 exchange (NEE = Reco - GPP), and methane (CH4) emissions from tundra and boreal wetland soils, across the pan-Arctic and Boreal zone (>49 degrees north) at 1-km spatial resolution. The data were produced through simulations of the Arctic Terrestrial Carbon Flux Model (TCFM-Arctic) and are provided at the daily time step for the years 2003-2015. TCFM-Arctic uses a light-use efficiency approach driven by satellite estimates of FPAR (fraction of absorbed photosynthetically active radiation) to estimate GPP, and autotrophic respiration (Rauto) is estimated as a fraction of GPP. Heterotrophic respiration (Rhetero) is estimated using decomposition rates with environmental constraints applied to three near-surface soil organic carbon (SOC) pools, and Reco is determined as the sum of Ra and Rh. Methane production is estimated using optimal CH4 production rates with environmental constraints applied to the labile carbon pool, and transfer of CH4 from the soil to the atmosphere is modeled through vegetation, soil diffusion, and water ebullition pathways. The model estimates were calibrated and evaluated using >60 tower eddy covariance (EC) sites. Baseline carbon pools were initialized by continuously cycling (spinning-up) the model for 1,000 model years using recent climatology from 1985 to 2002 to reach a dynamic steady-state between estimated net primary productivity (NPP = GPP - Rauto) and near-surface SOC pools. The TCFM-Arctic simulations were extended to the full Arctic-boreal domain at a 1-km spatial resolution using land cover maps representing high latitude vegetation communities. The data are provided in NetCDF and comma-separated values (CSV) formats.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date March 28, 2024
Metadata Updated Date March 28, 2024

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Average annual carbon flux (g m-2 yr-1) across the Arctic-boreal domain from 2003-2015 as informed by daily 1-km TCFM-Arctic simulations: a) GPP, b) Reco, c) NEE,  and d) tundra and boreal wetland CH4 emissions with a topographic wetness index (TWI) masking.

Additional Metadata

Resource Type Dataset
Metadata Created Date March 28, 2024
Metadata Updated Date March 28, 2024
Publisher ORNL_DAAC
Maintainer
Identifier C2909734357-ORNL_CLOUD
Data First Published 2024-03-22
Language en-US
Data Last Modified 2024-03-26
Category ABoVE, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Farina, M.K., and J.D. Watts. 2022. Gridded CO2 and CH4 Flux Estimates for pan-Arctic and Boreal Regions, 2003-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2121
Graphic Preview Description Average annual carbon flux (g m-2 yr-1) across the Arctic-boreal domain from 2003-2015 as informed by daily 1-km TCFM-Arctic simulations: a) GPP, b) Reco, c) NEE, and d) tundra and boreal wetland CH4 emissions with a topographic wetness index (TWI) masking.
Graphic Preview File https://daac.ornl.gov/ABOVE/guides/ABoVE_CO2_CH4_Flux_Estimates_Fig1.png
Harvest Object Id 81e758c4-3c9b-4a07-ab59-b35a6658cebe
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/2121
Metadata Type geospatial
Old Spatial -180.0 49.0 180.0 90.0
Program Code 026:001
Source Datajson Identifier True
Source Hash c7a36e1298e6249a63da9447fc52e1840557fdadb405ee4d6b645e213c080f4f
Source Schema Version 1.1
Spatial
Temporal 2003-01-01T00:00:00Z/2015-12-31T23:59:59Z

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