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Title: The Open-source Data Inventory for Anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions

Abstract

The Open-source Data Inventory for Anthropogenic CO2 (ODIAC) is a global high-spatial-resolution gridded emissions data product that distributes carbon dioxide (CO2) emissions from fossil fuel combustion. The emissions spatial distributions are estimated at a 1 × 1 km spatial resolution over land using power plant profiles (emissions intensity and geographical location) and satellite-observed nighttime lights. This work describes the year 2016 version of the ODIAC emissions data product (ODIAC2016) and presents analyses that help guide data users, especially for atmospheric CO2 tracer transport simulations and flux inversion analysis. Since the original publication in 2011, we have made modifications to our emissions modeling framework in order to deliver a comprehensive global gridded emissions data product. Major changes from the 2011 publication are (1) the use of emissions estimates made by the Carbon Dioxide Information Analysis Center (CDIAC) at the Oak Ridge National Laboratory (ORNL) by fuel type (solid, liquid, gas, cement manufacturing, gas flaring, and international aviation and marine bunkers); (2) the use of multiple spatial emissions proxies by fuel type such as (a) nighttime light data specific to gas flaring and (b) ship/aircraft fleet tracks; and (3) the inclusion of emissions temporal variations. Using global fuel consumption data, we extrapolatedmore » the CDIAC emissions estimates for the recent years and produced the ODIAC2016 emissions data product that covers 2000–2015. Our emissions data can be viewed as an extended version of CDIAC gridded emissions data product, which should allow data users to impose global fossil fuel emissions in a more comprehensive manner than the original CDIAC product. Our new emissions modeling framework allows us to produce future versions of the ODIAC emissions data product with a timely update. Such capability has become more significant given the CDIAC/ORNL's shutdown. The ODIAC data product could play an important role in supporting carbon cycle science, especially modeling studies with space-based CO2 data collected in near real time by ongoing carbon observing missions such as the Japanese Greenhouse gases Observing SATellite (GOSAT), NASA's Orbiting Carbon Observatory-2 (OCO-2), and upcoming future missions. The ODIAC emissions data product including the latest version of the ODIAC emissions data (ODIAC2017, 2000–2016) is distributed from http://db.cger.nies.go.jp/dataset/ODIAC/ with a DOI (https://doi.org/10.17595/20170411.001).« less

Authors:
 [1]; ORCiD logo [2]; ORCiD logo [3]
+ Show Author Affiliations
  1. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States). Global Modeling and Assimilation Office; Universities Space Research Association (USRA), Columbia, MD (United States). Goddard Earth Sciences Technology and Research
  2. National Inst. for Environmental Studies (NIES), Tsukuba (Japan). Center for Global Environmental Research
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Carbon Dioxide Information Analysis Center
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); National Aeronautics and Space Administration (NASA)
Contributing Org.:
National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States). National Geophysical Data Center (NGDC)
OSTI Identifier:
1474477
Grant/Contract Number:  
AC05-00OR22725; NNX14AM76G
Resource Type:
Accepted Manuscript
Journal Name:
Earth System Science Data (Online)
Additional Journal Information:
Journal Name: Earth System Science Data (Online); Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 1866-3516
Publisher:
Copernicus
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING

Citation Formats

Oda, Tomohiro, Maksyutov, Shamil, and Andres, Robert J. The Open-source Data Inventory for Anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions. United States: N. p., 2018. Web. doi:10.5194/essd-10-87-2018.
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Oda, Tomohiro, Maksyutov, Shamil, & Andres, Robert J. The Open-source Data Inventory for Anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions. United States. https://doi.org/10.5194/essd-10-87-2018
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Oda, Tomohiro, Maksyutov, Shamil, and Andres, Robert J. Thu . "The Open-source Data Inventory for Anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions". United States. https://doi.org/10.5194/essd-10-87-2018. https://www.osti.gov/servlets/purl/1474477.
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@article{osti_1474477,
title = {The Open-source Data Inventory for Anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions},
author = {Oda, Tomohiro and Maksyutov, Shamil and Andres, Robert J.},
abstractNote = {The Open-source Data Inventory for Anthropogenic CO2 (ODIAC) is a global high-spatial-resolution gridded emissions data product that distributes carbon dioxide (CO2) emissions from fossil fuel combustion. The emissions spatial distributions are estimated at a 1 × 1 km spatial resolution over land using power plant profiles (emissions intensity and geographical location) and satellite-observed nighttime lights. This work describes the year 2016 version of the ODIAC emissions data product (ODIAC2016) and presents analyses that help guide data users, especially for atmospheric CO2 tracer transport simulations and flux inversion analysis. Since the original publication in 2011, we have made modifications to our emissions modeling framework in order to deliver a comprehensive global gridded emissions data product. Major changes from the 2011 publication are (1) the use of emissions estimates made by the Carbon Dioxide Information Analysis Center (CDIAC) at the Oak Ridge National Laboratory (ORNL) by fuel type (solid, liquid, gas, cement manufacturing, gas flaring, and international aviation and marine bunkers); (2) the use of multiple spatial emissions proxies by fuel type such as (a) nighttime light data specific to gas flaring and (b) ship/aircraft fleet tracks; and (3) the inclusion of emissions temporal variations. Using global fuel consumption data, we extrapolated the CDIAC emissions estimates for the recent years and produced the ODIAC2016 emissions data product that covers 2000–2015. Our emissions data can be viewed as an extended version of CDIAC gridded emissions data product, which should allow data users to impose global fossil fuel emissions in a more comprehensive manner than the original CDIAC product. Our new emissions modeling framework allows us to produce future versions of the ODIAC emissions data product with a timely update. Such capability has become more significant given the CDIAC/ORNL's shutdown. The ODIAC data product could play an important role in supporting carbon cycle science, especially modeling studies with space-based CO2 data collected in near real time by ongoing carbon observing missions such as the Japanese Greenhouse gases Observing SATellite (GOSAT), NASA's Orbiting Carbon Observatory-2 (OCO-2), and upcoming future missions. The ODIAC emissions data product including the latest version of the ODIAC emissions data (ODIAC2017, 2000–2016) is distributed from http://db.cger.nies.go.jp/dataset/ODIAC/ with a DOI (https://doi.org/10.17595/20170411.001).},
doi = {10.5194/essd-10-87-2018},
journal = {Earth System Science Data (Online)},
number = 1,
volume = 10,
place = {United States},
year = {Thu Jan 18 00:00:00 EST 2018},
month = {Thu Jan 18 00:00:00 EST 2018}
}
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Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.5194/essd-10-87-2018
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Figures / Tables:

Figure 1 Figure 1: . A schematic figure of the ODIAC emissions modeling framework (defined as “ODIAC 3.0 FFCO2 model”). Starting with CDIAC national emissions estimates made by fuel type (emissions estimates), the CDIAC national emissions estimates are first divided into extended ODIAC emissions categories (input data processing; see Sect. 3). Themore » ODIAC 3.0 FFCO2 model then distributes the emissions in space and time, using point source geolocation information and spatial data depending on emissions categories such as nighttime light (NTL) and aircraft and ship fleet tracks (spatial disaggregation; see Sect. 4). The emissions seasonality for emissions over land and international aviation were adopted from existing emissions inventories (temporal disaggregation; see Sect. 5).« less
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    • Remote Sensing, Vol. 11, Issue 7
    • DOI: 10.3390/rs11070850

    An Assessment of Anthropogenic CO2 Emissions by Satellite-Based Observations in China
    journal, March 2019

    • Yang, Shaoyuan; Lei, Liping; Zeng, Zhaocheng
    • Sensors, Vol. 19, Issue 5
    • DOI: 10.3390/s19051118

    Impact of Urban Surface Characteristics and Socio-Economic Variables on the Spatial Variation of Land Surface Temperature in Lagos City, Nigeria
    journal, December 2018

    • Dissanayake, Dmslb; Morimoto, Takehiro; Murayama, Yuji
    • Sustainability, Vol. 11, Issue 1
    • DOI: 10.3390/su11010025

    Southern California megacity CO 2 , CH 4 , and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model
    journal, January 2018

    • Hedelius, Jacob K.; Liu, Junjie; Oda, Tomohiro
    • Atmospheric Chemistry and Physics, Vol. 18, Issue 22
    • DOI: 10.5194/acp-18-16271-2018

    An atmospheric inversion over the city of Cape Town: sensitivity analyses
    journal, January 2019

    • Nickless, Alecia; Rayner, Peter J.; Scholes, Robert J.
    • Atmospheric Chemistry and Physics, Vol. 19, Issue 11
    • DOI: 10.5194/acp-19-7789-2019

    Towards monitoring localized CO 2 emissions from space: co-located regional CO 2 and NO 2 enhancements observed by the OCO-2 and S5P satellites
    journal, January 2019

    • Reuter, Maximilian; Buchwitz, Michael; Schneising, Oliver
    • Atmospheric Chemistry and Physics, Vol. 19, Issue 14
    • DOI: 10.5194/acp-19-9371-2019

    The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network
    journal, January 2019

    • Crowell, Sean; Baker, David; Schuh, Andrew
    • Atmospheric Chemistry and Physics, Vol. 19, Issue 15
    • DOI: 10.5194/acp-19-9797-2019

    A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide
    journal, January 2020

    • Liu, Fei; Duncan, Bryan N.; Krotkov, Nickolay A.
    • Atmospheric Chemistry and Physics, Vol. 20, Issue 1
    • DOI: 10.5194/acp-20-99-2020

    The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data
    journal, January 2019

    • Eldering, Annmarie; Taylor, Thomas E.; O'Dell, Christopher W.
    • Atmospheric Measurement Techniques, Vol. 12, Issue 4
    • DOI: 10.5194/amt-12-2341-2019

    Improving the representation of anthropogenic CO2 emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM)
    journal, January 2018

    • Navarro, Andrés; Moreno, Raúl; Tapiador, Francisco J.
    • Earth System Dynamics, Vol. 9, Issue 3
    • DOI: 10.5194/esd-9-1045-2018

    A global map of emission clumps for future monitoring of fossil fuel CO2 emissions from space
    journal, January 2019

    • Wang, Yilong; Ciais, Philippe; Broquet, Grégoire
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    • DOI: 10.5194/essd-11-687-2019

    EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012
    journal, January 2019

    • Janssens-Maenhout, Greet; Crippa, Monica; Guizzardi, Diego
    • Earth System Science Data, Vol. 11, Issue 3
    • DOI: 10.5194/essd-11-959-2019

    An Assessment of Anthropogenic CO2 Emissions by Satellite-Based Observations in China
    journal, March 2019

    • Yang, Shaoyuan; Lei, Liping; Zeng, Zhaocheng
    • Sensors, Vol. 19, Issue 5
    • DOI: 10.3390/s19051118
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