New CDIAC Data Products, Publications, and Activities
- CDIAC has published data on regional carbon stocks, assumed NPP, and net land-use change emissions by ecosystem which was estimated using historical land-use data and a simple carbon model. The work is described by S. J. Smith and A. Rothwell in a paper, entitled, "Carbon density and anthropogenic land-use influences on net land-use change emissions" (Biogeosciences, 10, 6323-6337, doi:10.5194/bg-10-6323-2013, 2013.). The model results show a net land-use change in emissions from 1700–2000 of 250 GtC and from 1850–2000 of 210 GtC. These values are somewhat higher than many estimates in the literature, but comparable to recent estimates that use a similar land-use change data set that also includes the impact of wood harvesting on carbon stocks.
- Bob Andres gave an invited talk at Appalachian State University, Boone, NC, on 28 Jul 2014, entitled "Some thoughts on uncertainty in fossil fuel emission estimates, flux and distributions".
- Bob Andres and Tom Boden of CDIAC with David Higdon of Los Alamos National Laboratory published a paper entitled "A new evaluation of the uncertainty associated with CDIAC estimates of fossil fuel carbon dioxide emission" (Tellus B 2014, 66, 23616, http://dx.doi.org/10.3402/tellusb.v66.23616). In the paper they report the results of three uncertainty assessments associated with the global total of carbon dioxide emitted from fossil fuel use and cement production. The three assessments collectively give a range of uncertainty that spans from 1.0 to 13% (2 σ). Greatly simplifying the assessments give a global FFCO2 uncertainty value of 8.4% (2 σ) as a reasonable value.
- Bob Andres was a coauthor on the paper, "Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system" (Biogeosci. 11:3547-3602. doi:10.5194/bg-11-3547-2014). The paper discusses the need for a globally integrated carbon observation and analysis
system to improve the fundamental understanding of the global carbon cycle, to improve our ability to project future changes, and to verify the effectiveness of policies aiming to reduce greenhouse gas emissions and increase carbon sequestration.
- The Ocean Circulation Inverse Model (OCIM) result has been made avaiable by CDIAC. The model provides a new estimate of the oceanic anthropogenic CO2 sink over the industrial era (1780 to present) from assimilation of potential temperature, salinity, radiocarbon, and CFC-11 observations. This modeling effort differs from previous data-based estimates of the oceanic sink in that dynamical constraints on ocean circulation are accounted for, and the ocean circulation is explicitly modeled, allowing the calculation of oceanic storage, air-sea fluxes, and transports in a consistent manner. The resulting uncertainty of the OCIM-estimated oceanic anthropogenic CO2 uptake, transport, and storage is significantly smaller than from purely data-based or model-based estimates.
- The new LDEO Database V2013, which includes data collected through 31 December 2013, has been published. In this update a total of about 2,270,000 pCO2 measurements made during 64 new cruise/ship files (including 170,770 new measurements made by the LDEO group) have been added to version 2012 for a total of more than 9.0 million measurements of surface water pCO2 made over the global oceans during 1957-2013. The data assembled include only those measured using equilibrator-CO2 analyzer systems, and have been quality-controlled based upon the stability of the system performance, the reliability of calibrations for CO2 analysis, and the internal consistency of data. A number of measured parameters relevant to pCO2 in seawater are also listed. The global pCO2 data set is available free of charge as a numeric data package (NDP) from CDIAC. The NDP consists of the oceanographic data files and this printed documentation, which describes the procedures and methods used to obtain the data.
- The paper Global carbon budget 2013 was published in Earth Systems Science Data (vol. 6, pp. 235–263) in June. Bob Andres and Tom Boden of CDIAC are coauthors on the paper. The paper describes data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community.
- Bob Andres attended the 16th GEIA Conference in Boulder, Colorado, from 10-11 June 2014. He showed a poster entitled "A new uncertainty analysis of the CDIAC estimates of fossil fuel carbon dioxide emissions".
- CDIAC has updated its United States Historical Climatology Network (USHCN) data files through 2013 (courtesy of NOAA/NCDC). Files contain monthly means of average, maximum, and minimum temperature, along with monthly precipitation totals, for 1218 U.S. stations.
- Bob Andres attended the Joint TES/SBR Principal Investigator Meeting in Potomac, MD, from 6-7 May 2014. He showed a poster entitled "Temporal, spatial, and uncertainty aspects of carbon dioxide emissions from fossil fuel combustion: highlights of the last two years of TES funding". Bob also was a co-author on one other presentation at the meeting.
- Bob Andres is a coauthor on a paper, entitled, "Influence of differences in current GOSAT XCO2 retrievals on surface flux estimation" (Takagi et al., Geophys. Res. Lett. 41: 2598-2605. doi:10.1029/2013GL059174.). In the paper the authors investigated differences in the five currently-available datasets of column-integrated CO2 concentrations (XCO22 flux estimates.
- CDIAC has established gateway pages to and background information on atmospheric aerosols, emphasizing large data bases including satellite data and surface stations. Unlike carbon dioxide, methane, nitrous oxide and halocarbons, dust is not evenly distributed in the atmosphere. Like cloud water droplets, it tends to fall out as it travels away from its source, precluding an even distribution over the planet. Nonetheless, dust records in ice cores can provide useful information about climate, as well as about occurrences of very large volcanos which can cool the atmosphere for a few years.
- The Recent Greenhouse Gas Concentrations page has been updated as of March 2014.
- The number of stations in CDIAC's DayRec: An Interface for Exploring U.S. Record-Maximum/Minimum Daily Temperatures has more than doubled from 200 to 424. This was accomplished through a very slight relaxation of the missing data criteria at each station. The 200-station, 2012 version of DayRec lacked stations over the southwestern U.S. In November 2013, the addition of 224 stations improved coverage in the southwest and also increased station density over the rest of the country.
- Bob Andres attended the Development of a Community Historical Emission Inventory meeting in Hamburg, Germany from 20-21 November 2013. He gave a talk entitled "Potential contributions from the CDIAC fossil fuel CO2 emissions inventory to the development of a community historical emission inventory (emission years 1850-2010?)".
- Four CDIAC data sets were updated in November:
- Andres RJ, Boden TA, Marland G (2013) Annual Fossil-Fuel CO2 Emissions: Mass of Emissions Gridded by One Degree Latitude by One Degree Longitude, 1751-2010. ORNL/CDIAC, electronic database. doi 10.3334/CDIAC/ffe.ndp058.2013.
- Andres RJ, Boden TA, Marland G (2013) Monthly Fossil-Fuel CO2 Emissions: Mass of Emissions Gridded by One Degree Latitude by One Degree Longitude, 1950-2010. ORNL/CDIAC, electronic database. doi 10.3334/CDIAC/ffe.MonthlyMass.2013.
- Andres RJ, Boden TA, Marland G (2013) Annual Fossil-Fuel CO2 Emissions: Isomass of Emissions Gridded by One Degree Latitude by One Degree Longitude, 1751-2010. ORNL/CDIAC, electronic database. doi 10.3334/CDIAC/ffe.AnnualIsomass.2013.
- Andres RJ, Boden TA, Marland G (2013) Annual Fossil-Fuel CO2 Emissions: Global Stable Carbon Isotopic Signature, 1751-2010. ORNL/CDIAC, electronic database. doi: 10.3334/CDIAC/ffe.db1013.2013.
- Bob Andres is a coauthor on the paper, "Estimation of regional surface CO2 fluxes with GOSAT observations using two inverse modeling approaches" which was published in Proceedings of SPIE Vol. 8529, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions IV, 85290G. doi:10.1117/12.979664. The authors applied two inverse modeling approaches to analysis of observations from the Greenhouse gases Observing SATellite (GOSAT) of atmospheric carbon dioxide and produced estimates of the seasonal and interannual variations of the regional CO2 fluxes.
Bob Andres is also a coauthor on the article, "The Use of a High-Resolution Emission Data Set in a Global Eulerian-Lagrangian Coupled Model" in Lagrangian Modeling of the Atmosphere (eds J. Lin, D. Brunner, C. Gerbig, A. Stohl, A. Luhar and P. Webley), American Geophysical Union, Washington, D. C.. doi: 10.1029/2012GM001263.