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Parameters for Ecosystem Modeling

The ORNL DAAC announces the release of a data set entitled "Literature-Derived Parameters for the BIOME-BGC Terrestrial Ecosystem Model."

The data set contains documented ecosystem parameters for major natural temperate biomes in the United States. The parameters are based on the input requirements for BIOME-BGC, a biogeochemical process-based model. The data are suitable for statistical analysis and can be used in other ecosystem models.

Vegetation Data Released

The ORNL DAAC announces the release of a data set entitled "Effects of Elevated Carbon Dioxide on Litter Chemistry and Decomposition."

The data set contains the results of both published experiments and unpublished experiments investigating the impacts of increased carbon dioxide on the chemistry (nitrogen and lignin concentrations) of leaf litter and the decomposition of plant tissues. The data are assembled in a format appropriate for statistical meta-analysis of the effects of carbon dioxide.

Southern African Data Release

The ORNL DAAC now offers seven additional data sets prepared for the Southern African Regional Science Initiative ("SAFARI 2000"). The data sets mainly pertain to soils but also include atmospheric and climate data.

Land Validation Data in Mercury

Mercury, a Web-based search system at the ORNL DAAC, provides a window into land validation data from around the world. The data are primarily collected at field sites for comparison with satellite-derived products.

A total of 51 land validation data sets are currently registered in Mercury. The data include land cover, net primary productivity, leaf area index, and fluxes of carbon dioxide, water, and energy, as well as characteristics of the land validation sites. The land validation products are particularly useful for developing, calibrating, and validating ecosystem models.

Southern African Data Release

The ORNL DAAC announces that 10 additional data sets prepared for the Southern African Regional Science Initiative ("SAFARI 2000") and their documentation are available on-line. The data were earlier released on CD-ROM.

The data sets, listed as follows, were extracted from global data sets for the bounding coordinates of southern Africa (5 W to 60 E and 5 N to 35 S).

Vegetation / Land Cover Data

RGD Data in Mercury

Over 130 data sets related to regional and global biogeochemical dynamics can now be located and acquired through the Mercury metadata search system at the ORNL DAAC. Thirty-five data sets were added in the past 3 months.

A variety of data held by data centers and researchers around the world are available through Mercury, including data related to climate, hydrology, vegetation/land cover, land use, soil characteristics, and gas flux/emissions. Mercury also provides links to Web sites containing models for predicting biogeochemical processes.

New Southern African Data On-Line

Six additional data sets prepared for the Southern African Regional Science Initiative ("SAFARI 2000") are now available on-line from the ORNL DAAC, along with their documentation. The data were earlier released on CD-ROM.

The data were extracted from global data sets for the bounding coordinates of southern Africa (5 W to 60 E and 5 N to 35 S). The extracted data sets contain climate data, Advanced Very High Resolution Radiometer (AVHRR) measurements of land cover, wetlands data, and a digital elevation model.

Climate Data

Arctic Flux Data Available

The ORNL DAAC announces that data about atmospheric fluxes in the Arctic tundra are now available on-line.

Southern African Data On-Line

Three data sets from the Southern African Regional Science Initiative (known as "SAFARI 2000") are now accessible from the ORNL DAAC Web site.

Revised VEMAP 1 Soil Data Set

The ORNL DAAC announces that soil data from Phase 1 of the Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) have been revised. Data providers corrected some water holding capacity (WHC) files in the data set entitled "VEMAP 1: U.S. Soil."

To learn more about the revisions, see our Data Set Change Information.

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