Oak Ridge National Laboratory Distributed Active Archive Center

nasa-ornldaac-1183

NACP Site: Terrestrial Biosphere Model and Aggregated Flux Data in Standard Format

ABSTRACT: This data set provides standardized output variables for gross primary productivity (GPP), net ecosystem exchange (NEE), leaf area index (LAI), ecosystem respiration (Re), latent heat flux (LE), and sensible heat flux (H) from 24 terrestrial biosphere models for 47 eddy covariance flux tower sites in North America. Each model used standardized input data for each flux tower site (i.e., gap-filled, locally observed weather; land use history; and other site specific data) and followed standard model setup and spinup procedures. The files also contain gap-filled observations and total uncertainty estimates. The data set was compiled for the North American Carbon Program (NACP) Site-Level Synthesis for use in model inter-comparison and assessment of how well the models simulate carbon processes across vegetation types and environmental conditions in North America. There is one compressed (.zip) file with this data set. When expanded, the .zip file contains model output data for one variable at one site. The model output and observations are available at the native half-hourly time step, or in daily, monthly, and annual aggregations, in comma-separated text (.csv) format.

daac.ornl.gov

http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1183

Identified by : NACP_SITE_MODEL_FLUX_STD_FMT

This dataset was released on January 01, 2013.

The time range for this dataset is January 01, 1998 to December 31, 2007.

The spatial range for this dataset is 10° to 84° latitude, and -170° to -50° longitude. map (center)

DOI : 10.3334/ORNLDAAC/1183
Also known as :

• identifier 22e9080b-c388-46bd-acc4-9ea6385ea6d1 (datagov lexicon)
• dataset nacp-site-terrestrial-biosphere-model-and-aggregated-flux-data-in-standard-format (datagov lexicon)
• dataset oai:mercury-ops2.ornl.gov:ornldaac_1183 (ornl lexicon)
• dataset oai:mercury.ornl.gov:ornldaac_1183 (ornl lexicon)