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Title: Climate Change Science Institute (CCSI)

The Climate Change Science Institute (CCSI) was formed in 2009 to integrate climate science activities across Oak Ridge National Laboratory. Approximately, 130 scientists are doing research in the areas of (i) earth system modeling, (ii) data integration, dissemination, and informatics, (iii) integrative ecosystem scienceterrestrial ecosystem and carbon cycle science, and (iv) climate impacts, adaptation, and vulnerability science. CCSI works to strengthen the predictive capabilities and effectiveness of climate and biogeochemical models and develop useful climate adaptation and mitigation tools and information in collaboration with land-energy-water system stakeholders.
Product Type:
Project
Project Lead:
 [1]
  1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Research Org(s):
Climate Change Science Institute (CCSI), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Geolocation:
Subject:
54 ENVIRONMENTAL SCIENCES; CCSI; climate datasets; Earth system modeling; atmospheric sciences; ecosystem science; impacts, adaptation, vulnerability; Data Archiving and Dissemination
OSTI Identifier:
1374166
No associated Collections found.
  1. This data product contains all the gridded data set at 1/4 degree resolution in ASCII format. Both mean temperature and mean sea level air pressure data are available. It also contains the GSOD data (1982-2011) from NOAA site, contains station number, location, temperature and pressures (sea level and station level). The data package also contains information related to the data processing methods
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    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Climate Change Science Institute (CCSI), Oak Ridge National Laboratory (ORNL), Oak Rdige, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
  2. Sampling networks rarely conform to spatial and temporal ideals, often comprised of network sampling points which are unevenly distributed and located in less than ideal locations due to access constraints, budget limitations, or political conflict. Quantifying the global, regional, and temporal representativeness of these networks by quantifying the coverage of network infrastructure highlights the capabilities and limitations of the data collected, facilitates upscaling and downscaling for modeling purposes, and improves the planning efforts for future infrastructure investment under current conditions and future modeled scenarios. The work presented here utilizes multivariate spatiotemporal clustering analysis and representativeness analysis for quantitative landscape characterizationmore » and assessment of the Fluxnet, RAINFOR, and ForestGEO networks. Results include ecoregions that highlight patterns of bioclimatic, topographic, and edaphic variables and quantitative representativeness maps of individual and combined networks. « less
    View Dataset
    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Climate Change Science Institute (CCSI), Oak Ridge National Laboratory (ORNL), Oak Rdige, TN (US)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)