We propose to evolve the Carbon Monitoring System Flux Pilot Project funded under
Phase 1 into a framework that integrates observational constraints on all major
components of the carbon-cycle-anthropogenic system anthropogenic, terrestrial, oceanic,
atmospheric in a top-down CO2 attribution system constrained by atmospheric satellite
observations. This expanded framework will enable a deeper understanding of the global
carbon cycle and a means of quantifying the effectiveness of climate mitigation policies.
This CMS-FPP is motivated by the increase in tropospheric CO2 from anthropogenic
emissions, which is the single largest driver of observed and predicted climate change
[Forster et al, 2007]. However, roughly half of the CO2 produced from these emissions
has been removed by terrestrial and ocean sinks. Consequently, The future trajectory of
climate forcing will depend on future emissions and on the capacity of the carbon-cycle
to absorb more CO2 [Friedlingstein, 2008]. Recent years have seen an acceleration of
fossil fuel emissions and signs of an onset of carbon-cycle feedbacks [Canadell et al, 2007]. Since 2005, fossil fuel emissions have been regionally redistributed towards
developing countries, which now make up more than half of CO2 emissions (>4 PgC/yr)
[Peters et al, 2012]. While the global carbon budget and its partitioning between
anthropogenic, terrestrial, and oceanic fluxes are reasonably understood, the contribution
of regional drivers to that budget are not [Canadell et al, 2010]. Consequently,
uncertainty in the attribution of CO2 accumulation rate on a year-to-year basis to those
drivers limits our capacity to quantify the effectiveness of climate mitigation policies [Le
Quere et al, 2009].
In order to reduce uncertainty in CO2 attribution, we will simultaneously improve and
augment all major aspects of the current CMS-FPP: new satellites observations, an
additional terrestrial eco-system model, a new fossil fuel assimilation system, updated
ocean assimilation algorithms, and improved atmospheric inversion algorithms. The
CMS-FPP Phase 2 will generate a suite of new and updated products covering 7/2009-
2011 including new global spatially resolved CO2 sources and sinks, new high resolution
global fossil fuel emissions, better estimates of oceanic CO2 air-sea exchange, new
estimates of global above-ground biomass, and refinements in top-down attribution and
uncertainty algorithms. Products generated from bottom-up and top-down estimates will
be made publically available through carbon.nasa.gov and linked to cmsflux.jpl.nasa.gov.
Through these updates, the CMS-FPP will play a crucial and on-going role in assessing
the current capability of space-borne observing systems to improve our knowledge of the
integrated carbon-cycle-anthropogenic system and its impact on climate forcing
Product Title: Spatially gridded, temporally resolved estimates of terrestrial biospheric CO2 fluxes.
Time Period: 2010-2015
Description: - Provide estimates of terrestrial biospheric carbon dioxide fluxes.
This product builds on products from the CMS Pilot Flux project which are available:
Collatz, G.J. and S.R. Kawa. 2014. CMS-Flux Pilot Project Land Biosphere Fluxes 2003-2013 from the CASA GFED3 Model. Data set. Available online at the North American Carbon Program Website: http://nacp-files.nacarbon.org/nacp-kawa-01/
Input Data Products: MERRA meteorology, GIMMS NDVI, MODIS Vegetation Cover Fractions, MODIS Burned Area
Algorithm/Models Used: CASA-GFED
Evaluation: surface and column atmospheric CO2, fluxes from atmospheric inversions, eddy covariance fluxes
Intercomparison Efforts/Gaps: Comparison of fuel loads estimates for the U.S. and those of Nancy French (French-04).
Uncertainty Estimates: Influence of parameter uncertainty using Monte Carlo ensemble. Uncertainties estimated from model-data comparisons (surface and column CO2, eddy covariance fluxes, inversions, independent biomass estimates).
Uncertainty Categories: Stochastic, model-data
Application Areas: ; - Forest inventory; - Land management;
Relevant Policies/Programs: ; CMS FPP, CAA, National Climate Assessment of U.S. Global Change Research Program, Doha/Kyoto, USCCSP, Intergovernmental Panel on Climate Change (IPCC)
Potential Users: Group on Earth Observations (GEO), Regional Greenhouse Gas Initiative (RGGI), CMS flux teams, EPA, NOAA *John Miller*, DOE Integrated Assessment (IA) and Climate and Earth System Modeling groups
Stakeholders: Environmental Protection Agency (Point of Contact: Rohit Mathur)
Current Application Readiness Level: 5
Start Application Readiness Level: 5
Target Application Readiness Level: 6
Future Developments: - Continue improving the model using Evaluation and validation efforts.
Limitations: - Have not yet identified regional to global carbon sink mechanisms.; - Coarse spatial resolution.; - Capturing interannual variability in the fluxes is difficult – perhaps need more work on estimates of fire emissions, NPP, and respiration; on the other
Date When Product Available: 2013 on rolling basis
Relevant Policies/Programs: ; CMS FPP, CAA, National Climate Assessment of U.S. Global Change Research Program, Doha/Kyoto, USCCSP, Intergovernmental Panel on Climate Change (IPCC)
Potential Users: Group on Earth Observations (GEO), Regional Greenhouse Gas Initiative (RGGI), CMS flux teams, EPA, NOAA *John Miller*, DOE Integrated Assessment (IA) and Climate and Earth System Modeling groups
Stakeholders: Environmental Protection Agency (Point of Contact: Rohit Mathur)
Current Application Readiness Level: 5
Start Application Readiness Level: 5
Target Application Readiness Level: 6
Future Developments:
Limitations: Not provided
Date When Product Available: 2013 on rolling basis
Product Title: Carbon Monitoring System Carbon Flux for Fire L4 V1 (CMSFluxFire) at GES DISC
Start Date: 01/2010End Date: 01/2013
Description: This dataset provides the Carbon Flux for Fires.
The NASA Carbon Monitoring System (CMS) 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 will use the full range of 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 will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
Status: Archived
CMS Science Theme(s): Land-Atmosphere Flux
Keywords:
Spatial Extent: Global
Spatial Resolution: 4 ° x 5 °
Temporal Frequency:
Input Data Products:
Algorithm/Models Used:
Evaluation:
Intercomparison Efforts/Gaps:
Uncertainty Estimates:
Uncertainty Categories:
Application Areas: GHG emissions inventory
Relevant Policies/Programs: National Climate Assessment of U.S. Global Change Research Program
Potential Users: Group on Earth Observations (GEO), CMS flux teams, EPA, NOAA, DOE Integrated Assessment (IA) and Climate and Earth System Modeling groups
Archived Data Citation: Kevin Bowman(2017), Carbon Monitoring System Carbon Flux for Fire L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/3C1Y3EJB1E7Q
Bounding Coordinates:
West Longitude:
-180.00000
East Longitude:
180.00000
North Latitude:
90.00000
South Latitude:
-90.00000
Product Title: Carbon Monitoring System Flux for Fossil Fuel L4 V1 (CMSFluxFossilfuel) at GES DISC
Start Date: 01/2010End Date: 01/2013
Description: This dataset provides the Carbon Flux for Fossil Fuel.
The NASA Carbon Monitoring System (CMS) 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 will use the full range of 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 will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
Archived Data Citation: Kevin Bowman(2017), Carbon Monitoring System Flux for Fossil Fuel L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/JC6BC3CPEJXQ
Bounding Coordinates:
West Longitude:
-180.00000
East Longitude:
180.00000
North Latitude:
90.00000
South Latitude:
-90.00000
Product Title: Carbon Monitoring System Flux for Ocean Carbon L4 V1 (CMSFluxOcean) at GES DISC
Start Date: 01/2010End Date: 01/2013
Description: This dataset provides the Carbon Flux for Ocean Carbon.
The NASA Carbon Monitoring System (CMS) 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 will use the full range of 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 will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
Status: Archived
CMS Science Theme(s): Global Surface-Atmosphere Flux; Ocean-Atmosphere Flux
Keywords: Flux/Movement (oceanic; atmospheric)
Spatial Extent: Global
Spatial Resolution:
Temporal Frequency:
Input Data Products: Sea level anomaly from altimeters on Jason-1, Jason-2/Ocean Surface; Topography Mission (OSTM), and Environmental Satellite (Envisat); sea surface temperature from the Advanced Microwave Scanning Radiometer-; EOS (AMSR-E); and temperature and salinity profiles from the Argo profiling floats. Global surface pCO2 (LDEO) Database of the Carbon Dioxide Information Analysis Center. GLODAP Atlas.
Algorithm/Models Used: ECCO2-Darwin
Evaluation: Evaluation against Takahash atlas. See Brix et al, Ocean Modeling, submitted
Intercomparison Efforts/Gaps: Intercomparisons with Goddard NOBM. See Ott et al, JGR, in revision
Uncertainty Estimates: Uncertainty calculated from Green's function
Uncertainty Categories: Ensemble
Application Areas: Ocean acidification mitigation; - Land management (riverine export)
Relevant Policies/Programs: CMS FPP, CAA, National Climate Assessment of U.S. Global Change Research Program, Doha/Kyoto, USCCSP, Intergovernmental Panel on Climate Change (IPCC)
Potential Users: Group on Earth Observations (GEO), Regional Greenhouse Gas Initiative (RGGI), CMS flux teams, EPA, NOAA *John Miller*, DOE Integrated Assessment (IA) and Climate and Earth System Modeling groups
Stakeholders: Environmental Protection Agency (Point of Contact: Rohit Mathur)
Archived Data Citation: Kevin Bowman(2017), Carbon Monitoring System Flux for Ocean Carbon L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/96SSC2AOLE3Z
Bounding Coordinates:
West Longitude:
-180.00000
East Longitude:
180.00000
North Latitude:
90.00000
South Latitude:
-90.00000
Product Title: Carbon Monitoring System Flux for Posterior Fire Carbon L4 V1 (CMSFluxFirepost) at GES DISC
Start Date: 01/2010End Date: 01/2013
Description: This dataset provides the Carbon Flux for Fires.
The NASA Carbon Monitoring System (CMS) 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 will use the full range of 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 will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
Status: Archived
CMS Science Theme(s): Land-Atmosphere Flux
Keywords:
Spatial Extent: Global
Spatial Resolution:
Temporal Frequency:
Input Data Products:
Algorithm/Models Used:
Evaluation:
Intercomparison Efforts/Gaps:
Uncertainty Estimates:
Uncertainty Categories:
Application Areas:
Relevant Policies/Programs:
Potential Users:
Stakeholders: Environmental Protection Agency (Point of Contact: Rohit Mathur)
Archived Data Citation: Kevin Bowman(2017), Carbon Monitoring System Flux for Posterior Fire Carbon L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/N3HM4V0JZVLB
Bounding Coordinates:
West Longitude:
-180.00000
East Longitude:
180.00000
North Latitude:
90.00000
South Latitude:
-90.00000
Product Title: Carbon Monitoring System Flux for Posterior Total Carbon L4 V1 (CMSFluxTotalpost) at GES DISC
Start Date: 01/2010End Date: 01/2013
Description: This dataset provides the Carbon Flux for Posterior Total Carbon.
The NASA Carbon Monitoring System (CMS) 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 will use the full range of 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 will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
Status: Archived
CMS Science Theme(s): Global Surface-Atmosphere Flux; Land-Atmosphere Flux
Application Areas: GHG emissions inventory; - Land management; - Global carbon budget calculations;
Relevant Policies/Programs: CMS FPP, CAA, National Climate Assessment of U.S. Global Change Research Program, Doha/Kyoto, USCCSP, Intergovernmental Panel on Climate Change (IPCC)
Potential Users: Group on Earth Observations (GEO), Regional Greenhouse Gas Initiative (RGGI), CMS flux teams, EPA, NOAA *John Miller*, DOE Integrated Assessment (IA) and Climate and Earth System Modeling groups
Stakeholders: Environmental Protection Agency (Point of Contact: Rohit Mathur)
Limitations: - Atmospherically constrained fluxes have uncertainty associated with the transport model.; - Potential biases of satellite data (e.g. calibration).; - Finer temporal resolution than monthly may not be appropriate for detecting changes in fluxes.
Archived Data Citation: Kevin Bowman(2017), Carbon Monitoring System Flux for Posterior Total Carbon L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/QCBSYYY4CENP
Bounding Coordinates:
West Longitude:
-180.00000
East Longitude:
180.00000
North Latitude:
90.00000
South Latitude:
-90.00000
Product Title: Carbon Monitoring System Flux for Prior Total Carbon L4 V1 (CMSFluxTotalprior) at GES DISC
Start Date: 01/2010End Date: 01/2013
Description: This dataset provides the Carbon Flux for Prior Total Carbon.
The NASA Carbon Monitoring System (CMS) 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 will use the full range of 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 will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
Application Areas: GHG emissions inventory; - Land management; - Global carbon budget calculations;
Relevant Policies/Programs: CMS FPP, CAA, National Climate Assessment of U.S. Global Change Research Program, Doha/Kyoto, USCCSP, Intergovernmental Panel on Climate Change
Potential Users: Group on Earth Observations (GEO), Regional Greenhouse Gas Initiative (RGGI), CMS flux teams, EPA, NOAA *John Miller*, DOE Integrated Assessment
Stakeholders: Environmental Protection Agency (Point of Contact: Rohit Mathur)
Limitations: Atmospherically constrained fluxes have uncertainty associated with the transport model.; - Potential biases of satellite data (e.g. calibration).; - Finer temporal resolution than monthly may not be appropriate for detecting changes in fluxes.
Archived Data Citation: Kevin Bowman(2017), Carbon Monitoring System Flux for Prior Total Carbon L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/F0JBNZ5QYWY6
Bounding Coordinates:
West Longitude:
-180.00000
East Longitude:
180.00000
North Latitude:
90.00000
South Latitude:
-90.00000
Product Title: Carbon Monitoring System Flux for Shipping, Aviation, and Chemical Sources L4 V1 (CMSFluxMISC) at GES DISC
Start Date: 01/2000End Date: 01/2001
Description: This dataset provides the Carbon Flux for Shipping, Aviation, and Chemical Sources.
The NASA Carbon Monitoring System (CMS) 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 will use the full range of 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 will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
Archived Data Citation: Kevin Bowman(2017), Carbon Monitoring System Flux for Shipping, Aviation, and Chemical Sources L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/RLT7JTCRJ11M
Bounding Coordinates:
West Longitude:
-180.00000
East Longitude:
180.00000
North Latitude:
90.00000
South Latitude:
-90.00000
Product Title: Carbon Monitoring System Flux from the Net Ecosystem Exchange L4 V1 (CMSFluxNEE) at GES DISC
Start Date: 01/2010End Date: 01/2013
Description: This dataset provides the Carbon Flux from the Net Ecosystem Exchange.
The NASA Carbon Monitoring System (CMS) 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 will use the full range of 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 will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
Status: Archived
CMS Science Theme(s): Global Surface-Atmosphere Flux; Land-Atmosphere Flux
Input Data Products: Seasonal/interannual phenology: monthly; GIMMS AVHRR NDVI; -Woody allocation: MODIS Vegetation Continuous ; Fields; -Vegetation class: MODIS Land Cover Type; -Seasonal/interannual burned area (daily): MODIS ; Surface Reflectance & Fire detections; MERRA.
Evaluation: Evaluation against eddy-covariance measurements, atmospheric data.
Intercomparison Efforts/Gaps: MsTMIP is an intercomparison activity.
Uncertainty Estimates: Ensemble uncertainty, parametric uncertainty and data comparisons.
Uncertainty Categories: Ensemble and model-data comparison
Application Areas: GHG emissions inventory; - Land management; - Global carbon budget calculations
Relevant Policies/Programs: CMS FPP, CAA, National Climate Assessment of U.S. Global Change Research Program, Doha/Kyoto, USCCSP, Intergovernmental Panel on Climate Change
Potential Users: Group on Earth Observations (GEO), Regional Greenhouse Gas Initiative (RGGI), CMS flux teams, EPA, NOAA *John Miller*, DOE Integrated Assessment
Stakeholders: Environmental Protection Agency (Point of Contact: Rohit Mathur)
Archived Data Citation: Kevin Bowman(2017), Carbon Monitoring System Flux from the Net Ecosystem Exchange L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/4ACY6GOWQ7BB
Bounding Coordinates:
West Longitude:
-180.00000
East Longitude:
180.00000
North Latitude:
90.00000
South Latitude:
-90.00000
Product Title: SiB4 Modeled Global 0.5-Degree Daily Carbon Fluxes and Pools, 2000-2018
Start Date: 01/2000End Date: 12/2018
Description: This dataset provides global daily output predicted by the Simple Biosphere Model, Version 4.2 (SiB4), at a 0.5-degree spatial resolution covering the time period 2000 through 2018. SiB4 is a mechanistic land surface model that integrates heterogeneous land cover, environmentally responsive phenology, dynamic carbon allocation, and cascading carbon pools from live biomass to surface litter to soil organic matter. Daily output includes carbon, carbonyl sulfide, and energy fluxes; solar-induced fluorescence; carbon pools; soil moisture and temperatures in the top three layers; total column soil water and plant available water; and environmental potentials used to scale photosynthesis. The SiB4 output is per plant functional type (PFT) within each 0.5-degree grid cell. SiB4 partitions variable output to 15 PFTs in each grid cell that are indexed by the "npft" dimension (01-15) in each data file. The PFT three-character abbreviations ("pft_names" variable) are listed in the same order as the "npft" dimension. To combine the PFT-specific output into grid cell totals, users must compute the area-weighted mean across the vector of PFT-specific values for each cell. Fractional areal coverages are given in the "pft_area" variable for each cell.
Archived Data Citation: Haynes, K.D., I.T. Baker, and A.S. Denning. 2021. SiB4 Modeled Global 0.5-Degree Daily Carbon Fluxes and Pools, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1849
Bounding Coordinates:
West Longitude:
-180.00000
East Longitude:
180.00000
North Latitude:
90.00000
South Latitude:
-90.00000
Product Title: SiB4 Modeled Global 0.5-Degree Hourly Carbon Fluxes and Productivity, 2000-2018
Start Date: 01/2000End Date: 12/2018
Description: This dataset provides global hourly output predicted from the Simple Biosphere Model, Version 4.2 (SiB4), at a 0.5-degree spatial resolution covering the time period 2000 through 2018. SiB4 is a mechanistic land surface model that integrates heterogeneous land cover, environmentally responsive phenology, dynamic carbon allocation, and cascading carbon pools from live biomass to surface litter to soil organic matter. Hourly output includes carbon fluxes, carbonyl sulfide (COS) fluxes, gross primary production, ecosystem respiration, solar-induced fluorescence (SIF), top-layer soil temperature and moisture, vegetation stress, photosynthetically active radiation (PAR), leaf and canopy-level carbon-dioxide partial pressures, and canopy conductance. The SiB4 output is per plant functional type (PFT) within each 0.5-degree grid cell. SiB4 partitions variable output to 15 PFTs in each grid cell that are indexed by the "npft" dimension (01-15) in each data file. The PFT three-character abbreviations ("pft_names" variable) are listed in the same order as the "npft" dimension. To combine the PFT-specific output into grid cell totals, users must compute the area-weighted mean across the vector of PFT-specific values for each cell. Fractional areal coverages are given in the "pft_area" variable for each cell.
Archived Data Citation: Haynes, K.D., I.T. Baker, and A.S. Denning. 2021. SiB4 Modeled Global 0.5-Degree Hourly Carbon Fluxes and Productivity, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1847
Bounding Coordinates:
West Longitude:
-180.00000
East Longitude:
180.00000
North Latitude:
90.00000
South Latitude:
-90.00000
Product Title: SiB4 Modeled Global 0.5-Degree Monthly Carbon Fluxes and Pools, 2000-2018
Start Date: 01/2000End Date: 12/2018
Description: This dataset provides global monthly output predicted by the Simple Biosphere Model, Version 4.2 (SiB4), at a 0.5-degree spatial resolution covering the time period 2000 through 2018. SiB4 is a mechanistic land surface model that integrates heterogeneous land cover, environmentally responsive phenology, dynamic carbon allocation, and cascading carbon pools from live biomass to surface litter to soil organic matter. Monthly output includes carbon, carbonyl sulfide (COS), and energy fluxes; solar-induced fluorescence (SIF); carbon pools; soil moisture and temperatures in the top three layers; total column soil water and plant available water; and environmental potentials used to scale photosynthesis. The SiB4 output is per plant functional type (PFT) within each 0.5-degree grid cell. SiB4 partitions variable output to 15 PFTs in each grid cell that are indexed by the "npft" dimension (01-15) in each data file. The PFT three-character abbreviations ("pft_names" variable) are listed in the same order as the "npft" dimension. To combine the PFT-specific output into grid cell totals, users must compute the area-weighted mean across the vector of PFT-specific values for each cell. Fractional areal coverages are given in the "pft_area" variable for each cell.
Archived Data Citation: Haynes, K.D., I.T. Baker, and A.S. Denning. 2021. SiB4 Modeled Global 0.5-Degree Monthly Carbon Fluxes and Pools, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1848
Bounding Coordinates:
West Longitude:
-180.00000
East Longitude:
180.00000
North Latitude:
90.00000
South Latitude:
-90.00000
Publications:
Haynes, K. D., Baker, I. T., Denning, A. S., Stockli, R., Schaefer, K., Lokupitiya, E. Y., Haynes, J. M. 2019. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4). Journal of Advances in Modeling Earth Systems. 11(12), 4423-4439. DOI: 10.1029/2018MS001540
Haynes, K. D., Baker, I. T., Denning, A. S., Wolf, S., Wohlfahrt, G., Kiely, G., Minaya, R. C., Haynes, J. M. 2019. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: Part 2. Carbon Cycling. Journal of Advances in Modeling Earth Systems. 11(12), 4440-4465. DOI: 10.1029/2018MS001541
Haynes, K., I. Baker, and S. Denning. 2020. Simple Biosphere Model version 4.2 (SiB4) technical description. Mountain Scholar, Colorado State University, Fort Collins, CO, USA. https://hdl.handle.net/10217/200691
Hogue, S., Marland, E., Andres, R. J., Marland, G., Woodard, D. 2016. Uncertainty in gridded
CO
2
emissions estimates. Earth's Future. 4(5), 225-239. DOI: 10.1002/2015EF000343
Brix, H., Menemenlis, D., Hill, C., Dutkiewicz, S., Jahn, O., Wang, D., Bowman, K., Zhang, H. 2015. Using Green's Functions to initialize and adjust a global, eddying ocean biogeochemistry general circulation model. Ocean Modelling. 95, 1-14. DOI: 10.1016/j.ocemod.2015.07.008
Bousserez, N., Henze, D. K., Perkins, A., Bowman, K. W., Lee, M., Liu, J., Deng, F., Jones, D. B. A. 2015. Improved analysis-error covariance matrix for high-dimensional variational inversions: application to source estimation using a 3D atmospheric transport model. Quarterly Journal of the Royal Meteorological Society. 141(690), 1906-1921. DOI: 10.1002/qj.2495
Liu, J., Bowman, K. W., Lee, M., Henze, D. K., Bousserez, N., Brix, H., James Collatz, G., Menemenlis, D., Ott, L., Pawson, S., Jones, D., Nassar, R. 2014. Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks. Tellus B: Chemical and Physical Meteorology. 66(1), 22486. DOI: 10.3402/tellusb.v66.22486
Asefi-Najafabady, S., Rayner, P. J., Gurney, K. R., McRobert, A., Song, Y., Coltin, K., Huang, J., Elvidge, C., Baugh, K. 2014. A multiyear, global gridded fossil fuel CO2emission data product: Evaluation and analysis of results. Journal of Geophysical Research: Atmospheres. 119(17), 10,213-10,231. DOI: 10.1002/2013JD021296
Archived Data Citations:
Kevin Bowman(2017), Carbon Monitoring System Flux for Shipping, Aviation, and Chemical Sources L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/RLT7JTCRJ11M
Kevin Bowman(2017), Carbon Monitoring System Flux for Posterior Fire Carbon L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/N3HM4V0JZVLB
Kevin Bowman(2017), Carbon Monitoring System Flux from the Net Ecosystem Exchange L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/4ACY6GOWQ7BB
Kevin Bowman(2017), Carbon Monitoring System Flux for Posterior Total Carbon L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/QCBSYYY4CENP
Kevin Bowman(2017), Carbon Monitoring System Flux for Prior Total Carbon L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/F0JBNZ5QYWY6
Kevin Bowman(2017), Carbon Monitoring System Carbon Flux for Fire L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/3C1Y3EJB1E7Q
Kevin Bowman(2017), Carbon Monitoring System Flux for Fossil Fuel L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/JC6BC3CPEJXQ
Kevin Bowman(2017), Carbon Monitoring System Flux for Ocean Carbon L4 V1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed [Data Access Date] 10.5067/96SSC2AOLE3Z
Haynes, K.D., I.T. Baker, and A.S. Denning. 2021. SiB4 Modeled Global 0.5-Degree Daily Carbon Fluxes and Pools, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1849
Haynes, K.D., I.T. Baker, and A.S. Denning. 2021. SiB4 Modeled Global 0.5-Degree Hourly Carbon Fluxes and Productivity, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1847
Haynes, K.D., I.T. Baker, and A.S. Denning. 2021. SiB4 Modeled Global 0.5-Degree Monthly Carbon Fluxes and Pools, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1848
2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)
Surface CO2 flux estimation and validation for 2010 and 2011 from CMS-Flux
-- (Junjie Liu, Kevin W Bowman, Michelle Gierach, George James Collatz, Meemong Lee, Kevin Robert Gurney, John Miller, Dimitris Menemenlis, Nicolas Bousserez)
[abstract]
Source quantification and geolocation of global power plant emissions using a novel crowd-sourcing system: transfer of knowledge from one decisionmaker group to another -- (Kevin Robert Gurney, Fionn Darragh O'Keeffe) [abstract]
Complementary Constrains on Seasonal Carbon Balance in Amazonia from GOSAT Measurements of XCO2 and Chlorophyll Fluorescence -- (Nick Parazoo, Kevin W Bowman, Christian Frankenberg, Jung-Eun Lee, Joshua B. Fisher, John R. Worden, Dylan Jones, Joseph A Berry, George James Collatz, Ian Baker, Martin Jung, Junjie Liu, Gregory Osterman, Christopher O'Dell, Athena Sparks, Andre Butz, Sandrine Guerlet, Yoshida Yukio, Huilin Chen, Christoph Gerbig) [abstract]
Analysis of interpolation technique and resolution effects on the aggregation of power plant carbon dioxide emissions at state and county scales -- (Maya G. Hutchins, Christopher A. Badurek, Gregg Marland, Eric Marland) [abstract]