VEMAP - Phase I Database: An Integrated INPUT Dataset for ECOSYSTEM and Vegetation Modeling for the Conterminous United States

Kittel, T. G. F.; Rosenbloom, N. A.; Painter, T. H.; Schimel, D. S.; Fisher, H. H.; Grimsdell, A.; Daly, C.

doi:10.15485/1464222

Title: VEMAP - Phase I Database: An Integrated INPUT Dataset for ECOSYSTEM and Vegetation Modeling for the Conterminous United States

Dataset
Other Related Research

Abstract

The Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) is an ongoing multi-institutional, international effort addressing the response of biogeography and biogeochemistry models to environmental variability in climate and other drivers in both space and time domains. The VEMAP input database for the Phase I model intercomparison includes compiled and model-generated datasets of long-term mean climate, soils, vegetation, and climate change scenarios for the conterminous United States. The data are on a 0.5 degree latitude/longitude grid. The data files include a VEMAP User's Guide, selected data and model output images, and README files under each data subdirectory to explain individual files. Updates and additional information on VEMAP can be found at http://www.cgd.ucar.edu/vemap. Development of the VEMAP database was supported by NASA, Electronic Power Research Institute (EPRI), USDA Forest Service, and NSF through the University Corporation for Atmospheric Research's Climate System Modeling Program.

Authors:

Kittel, T. G. F.; Rosenbloom, N. A.; Painter, T. H.; Schimel, D. S.; Fisher, H. H.; Grimsdell, A.; Daly, C.

National Center for Atmospheric Research, Climate and Global Dynamics Division
Oregon State University, Department of Botany and Plant Pathology

Publication Date:: Sun Jan 01 00:00:00 EST 1995

Other Number(s):: cdiac:VEMAP

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States)

Subject:: 54 ENVIRONMENTAL SCIENCES

Keywords:: VEMAP; Vegetation/Ecosystem Modeling and Analysis Project; Phase I Database; Vegetation Ecosystem Modeling; Monthly; Daily; Temperature; Solar Radiation; Model Intercomparison; Conterminous United States; Precipication(mm); Maximum temperature (C); Minimum temperature (C); Mean relative humidity (%); Vapor Pressure (mb); Total incident Solar Radiation (kJ/m2); fraction of potential total solar radiation at top of atmosphere (0-1); fraction of potential total incident solar radiation at surface (0-1); mean irradiance (W/m2); potential total solar radiation at surface (kJ/m2); fraction of potential total incident solar radiation (kJ/m2); Grid cell; elevation; Vegetation Code; State ID; 12 Month Values; Latitude; Longitude; Mean Temperature; Surface Wind Speed (m/s); Surface Air Temperature (C); Area (km**2); Mode Area (%); Bulk Density (g/cm**3); Clay (% by weight); Rock Fragments (% by volume); Sand (% by weight); Silt (% by weight); Soil organic Carbon (0-100 cm) (Mega-grams of Carbon/hectare); Soil organic Carbon (0-20 cm) (Mega-grams of Carbon/hectare); Water holding capacity (cm H2O); Depth (cm)

OSTI Identifier:: 1464222

DOI:: https://doi.org/10.15485/1464222

Citation Formats


                    Kittel, T. G. F., Rosenbloom, N. A., Painter, T. H., Schimel, D. S., Fisher, H. H., Grimsdell, A., and Daly, C. VEMAP - Phase I Database: An Integrated INPUT Dataset for ECOSYSTEM and Vegetation Modeling for the Conterminous United States.  United States: N. p., 1995. 
        Web.  doi:10.15485/1464222.

Copy to clipboard


                    Kittel, T. G. F., Rosenbloom, N. A., Painter, T. H., Schimel, D. S., Fisher, H. H., Grimsdell, A., & Daly, C. VEMAP - Phase I Database: An Integrated INPUT Dataset for ECOSYSTEM and Vegetation Modeling for the Conterminous United States.  United States.  doi:https://doi.org/10.15485/1464222

Copy to clipboard


                    Kittel, T. G. F., Rosenbloom, N. A., Painter, T. H., Schimel, D. S., Fisher, H. H., Grimsdell, A., and Daly, C. 1995.  
"VEMAP - Phase I Database: An Integrated INPUT Dataset for ECOSYSTEM and Vegetation Modeling for the Conterminous United States".  United States.  doi:https://doi.org/10.15485/1464222.  https://www.osti.gov/servlets/purl/1464222. Pub date:Sun Jan 01 00:00:00 EST 1995

Copy to clipboard


                    
@article{osti_1464222,

  title        = {VEMAP - Phase I Database: An Integrated INPUT Dataset for ECOSYSTEM and Vegetation Modeling for the Conterminous United States},

  author       = {Kittel, T. G. F. and Rosenbloom, N. A. and Painter, T. H. and Schimel, D. S. and Fisher, H. H. and Grimsdell, A. and Daly, C.},

  abstractNote = {The Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) is an ongoing multi-institutional, international effort addressing the response of biogeography and biogeochemistry models to environmental variability in climate and other drivers in both space and time domains. The VEMAP input database for the Phase I model intercomparison includes compiled and model-generated datasets of long-term mean climate, soils, vegetation, and climate change scenarios for the conterminous United States. The data are on a 0.5 degree latitude/longitude grid. The data files include a VEMAP User's Guide, selected data and model output images, and README files under each data subdirectory to explain individual files. Updates and additional information on VEMAP can be found at http://www.cgd.ucar.edu/vemap. Development of the VEMAP database was supported by NASA, Electronic Power Research Institute (EPRI), USDA Forest Service, and NSF through the University Corporation for Atmospheric Research's Climate System Modeling Program.},

  doi          = {10.15485/1464222},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Jan 01 00:00:00 EST 1995},

  month        = {Sun Jan 01 00:00:00 EST 1995}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15485/1464222

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Stanford Thermal Earth Model for the Conterminous United States

Dataset Aljubran, Mohammad ; Horne, Roland

Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States. The thermal earth model is made available as an application programming interface (API) and as feature layers on ArcGIS, which are both provided via links below. A data-driven spatial interpolation algorithm based on physics-informed graph neural networks was used to develop these national temperature-at-depth maps. The model satisfied the three-dimensional heat conduction law by predictingmore »« less
Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation: A Database (NDP-017) (2001 version of original 1985 data)

Dataset Olson, J. S. ; Watts, J. A. ; Allison, L. J.

In 1980, this data base and the corresponding map were completed after more than 20 years of field investigations, consultations, and analyses of published literature. They characterize the use and vegetative cover of the Earth's land surface with a 0.5° × 0.5° grid. This world-ecosystem-complex data set and the accompanying map provide a current reference base for interpreting the role of vegetation in the global cycling of CO2 and other gases and a basis for improved estimates of vegetation and soil carbon, of natural exchanges of CO2, and of net historic shifts of carbon between the biosphere and the atmosphere.Formore »« less
Olson's Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation: An Updated Database Using the GLC2000 Land Cover Product (NDP-017b, a 2006 update of the original 1985 and 2001 data file)

Dataset Gibbs, Holly K.

In the 1980s, Olson et al. developed a data base and corresponding map following more than 20 years of field investigations, consultations, and analyses of published literature. The original data characterize the use and vegetative cover of the Earth's land surface with a 0.5° by 0.5° grid. The purpose of these world-ecosystem-complex data and the accompanying map were to provide a current reference base for interpreting the role of vegetation in the global cycling of CO2 and other gases and a basis for improved estimates of vegetation and soil carbon, of natural exchanges of CO2, and of net historic shiftsmore »« less
Validation of the Community Land Model Version 5 over the Contiguous United States (CONUS) using in-situ and remote sensing datasets (in EN)

Dataset Cheng, Yanyan ; Huang, Maoyi ; Zhu, Bowen ; ...

The Community Land Model (CLM) is an effective tool to simulate the biophysical and biogeochemical processes and their interactions with the atmosphere. Although CLM Version 5 (CLM5) constitutes various updates in these processes, its performance in simulating energy, water and carbon cycles over the Contiguous United States (CONUS) at scales which land surface changes and hydrometeorological and hydroclimatological applications are more locally relevant is yet to be assessed. In this study, we conducted three simulations at 0.125? during 1979-2018 over the CONUS using different configurations of CLM, namely CLM5-biogeochemistry (CLM5BGC), CLM4.5BGC, and CLM5-satellite phenology (CLM5SP). We validated and compared theirmore »« less
A dataset of 30 m annual vegetation phenology indicators (1985–2015) in urban areas of the conterminous United States

Journal Article Li, Xuecao ; Zhou, Yuyu ; Meng, Lin ; ... - Earth System Science Data (Online)

Medium-resolution satellite observations show great potential for characterizing seasonal and annual dynamics of vegetation phenology in urban domains from local to regional and global scales.However, most previous studies were conducted using coarse-resolution data,which are inadequate for characterizing the spatio-temporal dynamics of vegetation phenology in urban domains. In this study, we produced an annual vegetation phenology dataset in urban ecosystems for the conterminous United States (US), using all available Landsat images on the Google Earth Engine (GEE) platform. First, we characterized the long-term mean seasonal pattern of phenology indicators of the start of season (SOS) and the end of season (EOS),more »« less
Cited by 35

Similar Records