A Data Access and Comparison Tool for Biogeochemical Data from Diverse Sources
Jerry
Y.
Pan, Environmental Sciences Division, Oak Ridge National Laboratory, pany@ornl.gov
(Presenting)
Robert
B.
Cook, Environmental Sciences Division, Oak Ridge National Laboratory, cookrb@ornl.gov
(Presenting)
Suresh
K.
Santhana Vannan, Environmental Sciences Division, Oak Ridge National Laboratory, santhanavans@ornl.gov
Bruce
E.
Wilson, Environmental Sciences Division, Oak Ridge National Laboratory, wilsonbe@ornl.gov
Ana
Pinheiro, National Climatic Data Center, NOAA, ana.pinheiro@noaa.gov
Glenn
Rutledge, National Climatic Data Center, NOAA, glenn.rutledge@noaa.gov
Steven
Anthony, National Climatic Data Center, NOAA, steven.anthony@noaa.gov
Dan
Swank, National Climatic Data Center, NOAA, dan.swank@noaa.gov
Danny
Brinegar, National Climatic Data Center, NOAA, danny.brinegar@noaa.gov
Jeff
Privette, National Climatic Data Center, NOAA, jeff.privette@noaa.gov
Bai
Yang, Environmental Sciences Division, Oak, yangb@ornl.gov
Satellite remote sensing data products, along with surface field measurements can enhance our understanding of land surface biogeochemical processes. In addition, field-based information can serve to validate remote sensing products. Traditionally it is difficult to access diverse field measurements and remote sensing data in a seamless and automatic fashion, due to a number of factors including data storage formats and distribution methods. The ORNL DAAC and NOAA NCDC have collaborated to address this problem by developing a pilot Web-based tool that accesses, process, and displays surface temperature data and normalized difference vegetation index data from field observations, model output, and remote sensing records for selected field sites. The sources of data used by the tool are the Moderate Resolution Imaging Spectroradiometer, Geostationary Operational Environmental Satellite, NOAA’s Rapid Update Cycle weather prediction model, the Climate Reference Network, and AmeriFlux Network. Researchers can specify the site, time period, and sources of data. The tool queries data sources on the Internet to extract the data subsets from the specified data sources, calculate required variables, and perform time-series analysis. The tool also allows users to download the extracted data subsets. Future development efforts will expand the numbers of parameters examined to include more biophysical parameters (radiation, albedo, reflectance, other vegetation indices, and photosynthesis) from models, monitoring data, and remote sensing products. To facilitate these future goals and to maximize system interoperability, standard-based data access protocols such as OPeNDAP and SOAP Web Service are used in the tool, and existing and new THREDDS/OPeNDAP Data Servers are deployed as data sources for the tool.
NASA Carbon Cycle & Ecosystems Active Awards Represented by this Poster: