skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Uncertainty in gridded CO2 emissions estimates

Journal Article · · Earth's Future
DOI:https://doi.org/10.1002/2015EF000343· OSTI ID:1326535
 [1];  [1];  [2];  [1];  [3]
  1. Appalachian State Univ., Boone, NC (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Univ. of California, Irvine, CA (United States)

We are interested in the spatial distribution of fossil-fuel-related emissions of CO2 for both geochemical and geopolitical reasons, but it is important to understand the uncertainty that exists in spatially explicit emissions estimates. Working from one of the widely used gridded data sets of CO2 emissions, we examine the elements of uncertainty, focusing on gridded data for the United States at the scale of 1° latitude by 1° longitude. Uncertainty is introduced in the magnitude of total United States emissions, the magnitude and location of large point sources, the magnitude and distribution of non-point sources, and from the use of proxy data to characterize emissions. For the United States, we develop estimates of the contribution of each component of uncertainty. At 1° resolution, in most grid cells, the largest contribution to uncertainty comes from how well the distribution of the proxy (in this case population density) represents the distribution of emissions. In other grid cells, the magnitude and location of large point sources make the major contribution to uncertainty. Uncertainty in population density can be important where a large gradient in population density occurs near a grid cell boundary. Uncertainty is strongly scale-dependent with uncertainty increasing as grid size decreases. In conclusion, uncertainty for our data set with 1° grid cells for the United States is typically on the order of ±150%, but this is perhaps not excessive in a data set where emissions per grid cell vary over 8 orders of magnitude.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1326535
Journal Information:
Earth's Future, Vol. 4, Issue 5; ISSN 2328-4277
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 34 works
Citation information provided by
Web of Science

References (11)

Improving the temporal and spatial distribution of CO 2 emissions from global fossil fuel emission data sets : SCALING OF FOSSIL FUEL CO journal January 2013
A synthesis of carbon dioxide emissions from fossil-fuel combustion journal January 2012
High Resolution Fossil Fuel Combustion CO 2 Emission Fluxes for the United States journal July 2009
A very high-resolution (1 km×1 km) global fossil fuel CO 2 emission inventory derived using a point source database and satellite observations of nighttime lights journal January 2011
A new global gridded data set of CO 2 emissions from fossil fuel combustion: Methodology and evaluation journal January 2010
The role of CO2 emissions from large point sources in emissions totals, responsibility, and policy journal December 2014
A spatial uncertainty metric for anthropogenic CO 2 emissions journal October 2014
A 1° × 1° distribution of carbon dioxide emissions from fossil fuel consumption and cement manufacture, 1950-1990 journal September 1996
Carbon dioxide emission tallies for 210 U.S. coal-fired power plants: A comparison of two accounting methods journal August 2013
A comparison of five high-resolution spatially-explicit, fossil-fuel, carbon dioxide emission inventories for the United States journal March 2016
A synthesis of carbon dioxide emissions from fossil-fuel combustion journal January 2012

Cited By (18)

Simulating estimation of California fossil fuel and biosphere carbon dioxide exchanges combining in situ tower and satellite column observations journal March 2017
Large Uncertainties in Urban-Scale Carbon Emissions: Uncertainties in Urban Carbon Emissions journal October 2017
Development of a high-resolution spatial inventory of greenhouse gas emissions for Poland from stationary and mobile sources journal February 2018
Solving the general map overlay problem using a fuzzy inference system designed for spatial disaggregation journal July 2018
A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling journal January 2019
Errors and uncertainties in a gridded carbon dioxide emissions inventory journal July 2019
Comparison of Global Downscaled Versus Bottom‐Up Fossil Fuel CO 2 Emissions at the Urban Scale in Four U.S. Urban Areas journal March 2019
Systematic error and uncertain carbon dioxide emissions from U.S. power plants journal March 2019
Assessing fossil fuel CO 2 emissions in California using atmospheric observations and models journal May 2018
Evaluating nighttime lights and population distribution as proxies for mapping anthropogenic CO 2 emission in Vietnam, Cambodia and Laos journal September 2019
NO x emission trends over Chinese cities estimated from OMI observations during 2005 to 2015 journal January 2017
Characterizing uncertainties in atmospheric inversions of fossil fuel CO2 emissions in California journal January 2019
Accounting for the vertical distribution of emissions in atmospheric CO2 simulations journal January 2019
The Open-source Data Inventory for Anthropogenic CO 2 , version 2016 (ODIAC2016): a global monthly fossil fuel CO 2 gridded emissions data product for tracer transport simulations and surface flux inversions journal January 2018
EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012 journal January 2019
A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) journal January 2018
Gridded uncertainty in fossil fuel carbon dioxide emission maps, a CDIAC example journal January 2016
Accounting for the vertical distribution of emissions in atmospheric CO2 simulations text January 2019