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Register Number: ER65431
Title: Archiving Data to Support Data Synthesis of DOE Sponsored Elevated CO2 Experiments
Principal Investigator: Megonigal, Patrick
Institution: SMITHSONIAN INSTITUTION
Institution Address: Washington, DC 20013-7012
Awarded Amount to Date and B&R Code :
FY 2014$0 k
FY 2013$100 kKP170201
FY 2012$103 kKP170201
DOE Program Manager: Daniel Stover
BER Division: Climate and Environmental Sciences
Research Area: Terrestrial Ecosystem Science
Abstract Submit Date: 10/09/2013
Project Term: 08/01/2012 - 07/31/2014
Abstract: The US Department of Energy recently ended three decades of investment in realistic, field-scale experiments designed to understand how terrestrial ecosystems affect the global carbon cycle. The ultimate goal of this investment was to forecast how carbon cycling will change over the next century. The Smithsonian Environmental Research Center received one of the first awards in this program and managed two long-term studies (25 years and 10 years). This proposal is based on the premise that such a large investment demands a proper synthesis effort so that the full potential of these experiments are realized through data analysis and modeling. The goal of the proposed work is to archive the legacy data from two major elevated carbon dioxide experiments in the CDIAC database, and to participate in cross-site synthesis and publishing activities that will use these data. Contemporary standards of data archiving and metadata were not in place when these studies began, which as limited their use by the modeling community. Although the data from these two experiments are in electronic files, there is a significant amount of effort required to organize the files so they can be used efficiently for modeling and synthesis in CDIAC. The proposal work will go beyond data archiving by generating special synthesis products. Specifically, the Post-Doctoral Associate will contribute to at least one cross-site FACE-OTC synthesis paper and write two first-authored synthesis papers from the tidal marsh experiment. The PI will use this opportunity to organize several other synthesis papers from the marsh experiment and seek to have them published as a collection.