Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) gridded monthly predicted climate dataEntry ID: EOSWEBSTER_VEMAP2_2
Abstract: The EOS-WEBSTER VEMAP2 Data Collection contains several datasets which provide historical and future climate variables, and monthly and annual biogeochemical model outputs.
The TScenario Dataset provides monthly mean model-predicted climate data from 1895 to 1993. TScenario - monthly climate data of possible future values based on different model scenarios. VEMAP processed these data as follows:
temperature fields - for each month, the modeled change in temperature was added to the 1961-1990 observational baseline.
precipitation fields - for each month the ratio of the modeled change:baseline value was multiplied by the 1961-1990 observational baseline.
radiation and humidity fields - were based on the temperature and precipitation values (from MT-CLIM3) rather than on the actual GCM fields and were not produced as ratios or deltas to the baseline period.
Holdings include the following model scenarios:
1) Canadian Climate Center -- Model Name: CCCma -CGCM1;
Experiment: GHG+A 1; 1% per year compounded increase in
equivalent CO2 plus IS92A sulphate aerosols; Ensemble
1.1994-2100. Release: r4.
2) UKMO/Hadley -- Model Name: HadCM2; Experiment:
HadCM2GSa1; 1% per year compounded increase in equivalent
CO2 plus IS92A sulphate aerosols; Ensemble 1. 1994 - 2099.
Data provided by the Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) at the National Center for Atmospheric Research (NCAR) are gridded monthly time series climate data for the Conterminous United States at 0.5 x 0.5 degree spatial resolution. Visit the VEMAP2 website for complete information about the VEMAP2 project and datasets.
The VEMAP2 Collection contains the following dataset groups.
1) TClimate - monthly historical climate dataset from 1895 to
1993. Release: r3.
2) TScenario - monthly climate data of possible future values
based on different model scenarios.
3) TClimate + TScenario - annual historical climate data +
possible future values based on the above different model scenarios.
4) TResults - annual biogeography/biogeochemical model estimates
of ecosystem response from 1895 to 2100.
Please see the individual dataset group DIFs, for more detailed
This description is a member of a collection. The collection is described in
Start Date: 1994-01-01Stop Date: 2100-12-31
Latitude Resolution: 0.5 deg.
Longitude Resolution: 0.5 deg.
Temporal Resolution: monthly
ATMOSPHERE > ATMOSPHERIC PRESSURE > SURFACE PRESSURE > MEAN MONTHLY PRECIPITATION (MM/MONTH)
ATMOSPHERE > ATMOSPHERIC RADIATION > SOLAR IRRADIANCE > MEAN MONTHLY IRRADIANCE (W/M2)
ATMOSPHERE > ATMOSPHERIC RADIATION > SOLAR RADIATION > MEAN MONTHLY SOLAR RADIATION (KJ/M2/DAY)
ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > MAXIMUM/MINIMUM TEMPERATURE > MEAN MONTHLY MAXIMUM TEMPERATURE (DEG. C)
ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > MAXIMUM/MINIMUM TEMPERATURE > MEAN MONTHLY MINIMUM TEMPERATURE (DEG. C)
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > MEAN MONTHLY DAYLIGHT RELATIVE HUMIDITY (PERCENT)
ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT > MEAN MONTHLY PRECIPITATION (MM/MONTH)
ATMOSPHERE > PRECIPITATION > PRECIPITATION RATE > MEAN MONTHLY PRECIPITATION (MM/MONTH)
LAND SURFACE > SURFACE THERMAL PROPERTIES > LAND SURFACE TEMPERATURE > MEAN MONTHLY MAXIMUM TEMPERATURE (DEG. C)
LAND SURFACE > SURFACE THERMAL PROPERTIES > LAND SURFACE TEMPERATURE > MEAN MONTHLY MINIMUM TEMPERATURE (DEG. C)
Use Constraints Use of the VEMAP dataset is subject to the following guidelines
(1) Users may confer with the NCAR VEMAP Data Group to ensure
that the intended application of the dataset is consistent
with the generation and limitations of the data.
(2) To help us identify dataset errors or inconsistencies, we
request that users contact the NCAR VEMAP Data Group regarding
problems with data files, data access, or the dataset's representation
of climate. For problems with data access or file format, please
refer to http://www.cgd.ucar.edu/vemap/contacts.html
(3) Credit in publications resulting from the use of the VEMAP2
data will be given (a) by citation of VEMAP data set
(b) by acknowledgement of VEMAP sponsors (NASA Earth Science
Enterprise, EPRI, and the USDA Forest Service Global Change
Program) and the VEMAP Data Group (T. Kittel, D. Schimel,
A. Royle, N. Rosenbloom, H. Fisher, S. Aulenbach,
and C. Kaufman, NCAR, and C. Daly, Oregon State University) for
access to the data.
(4) The HADCM2 data may only be used for purposes related to
VEMAP or the U. S. National Assessment. For any other purposes, you
must get permission directly from David Viner at LINK
Data Set Progress
Role: DIF AUTHOR
Email: shannon.spencer at unh.edu
Complex Systems Research Center Institute for the Study of Earth, Oceans, and Space Morse Hall University of New Hampshire
Province or State: New Hampshire
Postal Code: 03824
Role: TECHNICAL CONTACT
Email: annette.schloss at unh.edu
Complex Systems Research Center Morse Hall University of New Hampshire
Province or State: New Hampshire
Postal Code: 03824
Thornton, P.E., H. Hasenauer, and M.A. White (in review). Simultaneous
estimation of daily solar radiation and humidity from observed
temperature and precipitation: an application over complex terrain in
Austria. Agricultural and Forest Meteorology.
Thornton, P.E., and S.W. Running, 1999. An improved algorithm for
estimating incident daily solar radiation from measurements of
temperature, humidity, and precipitation. Agricultural and Forest
Kimball, J.S., S.W. Running, and R. Nemani, 1997. An improved
algorithm for estimating surface humidity from daily minimum
temperature. Agricultural and Forest Meteorology, 85:87-98.
Glassy, J.M., and S.W. Running, 1994. Validating diurnal climatology
of the MT-CLIM model across a climatic gradient in Oregon. Ecological
Running, S.W., R.R. Nemani, and R.D. Hungerford, 1987. Extrapolation
of synoptic meteorological data in mountainous terrain and its use for
simulating forest evaporation and photosynthesis. Canadian Journal of
Forest Research, 17:472-483.
Bristow, K.L., and G.S. Campbell, 1984. On the relationship between
incoming solar radiation and daily maximum and minimum
temperature. Agricultural and Forest Meteorology, 31:159-166.
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2000-07-27
Last DIF Revision Date: 2017-08-24