Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) gridded annual and monthly biogeographic and biogeochemical time series data
Entry ID:
EOSWEBSTER_VEMAP2_4
|
Summary
The EOS-WEBSTER VEMAP2 Data Collection contains several datasets which
provide historical and future climate variables, and monthly and
annual biogeochemical model outputs.
The TResults Dataset group contains 4 individual datasets, which
include two differerent GCM Climate prediction model inputs and two
... different CO2 scenarios. Holdings in these four datasets include
annual and monthly biogeography/biogeochemical model estimates of
ecosystem response from 1895 to 2100. Six different ecosystem process
models are represented in the holdings.
The two different GCM models used for climate inputs to the ecosystem
process models are:
1) Canadian Climate Center -- CGCM1 scenario:
constant CO2 (1895 level; 294.842 ppm); 1895-2100
increasing CO2 (IS92a global yearly dataset); 1895-2100
2) UKMO/Hadley Center -- HadCM2 scenario:
constant CO2 (1895 level; 294.842 ppm); 1895-2099
increasing CO2 (IS92a global yearly dataset); 1895-2099
The Following Biogeochemical Variables are predicted by the six
ecosystem models:
1) Net Primary Production (NPP): Annual & Monthly data
2) Actual Evapotranspiration (AET): Annual & Monthly data
3) Net Ecosystem Productivity (NEP): Monthly data
4) Net Nitrogen Mineralization (NNM): Annual data
5) Total Carbon Storage (TCS): Annual data
6) Total Vegetation Carbon (TVC): Annual data
7) Leaf Area Index (LAI): Monthly data
The following six biogeochemical models are represented in the
holdings, and the associated predicted variables:
1) Biome-BGC: TVC,AET,NPP(annual only),NNM,TCS
2) Century: TVC,AET,LAI,NEP,NPP,NNM,TCS
3) LPJ: TVC,AET,NPP,TCS
4) MC1: TVC,AET,NEP,NPP,NNM,TCS
5) TEM: TVC,AET,NEP,NPP,NNM,TCS
6) GTEC: AET,NEP,NPP(monthly only),
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 and monthly biogeography/biogeochemical model estimates
of ecosystem response from 1895 to 2100.
Please see the individual dataset group DIFs, for more detailed
information.
Related URL
Link:
View Related Information
Description:
EOS-WEBSTER Earth Science Information Partner (ESIP) provides
terrestrial ecosystem research data via a web-based search, subset and order
system.
Link:
VIEW PROJECT HOME PAGE
Description:
The Vegetation/Ecosystem Modeling and Analysis Project (VEMAP)
|
Geographic Coverage
Spatial coordinates
| N: 50.0 |
|
S: 26.0 |
|
E: -66.0 |
|
W: -124.0 |
Temporal Coverage
Start Date:
1895-01-01
Stop Date:
2100-12-31
|
Location Keywords
Data Resolution
Latitude Resolution:
0.5 deg.
Longitude Resolution:
0.5 deg.
Temporal Resolution:
annual
|
Science Keywords
ISO Topic Category
Platform
Project
Use Constraints
Use of the VEMAP dataset is subject to the following guidelines
and restrictions:
(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
(http://www.eos-webster.sr.unh.edu) and appropriate VEMAP data
papers (http://www.cgd.ucar.edu/vemap/acknowledgments2.html) and
(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
(d.viner@uea.ac.uk).
Ancillary Keywords
Originating Center
Data Center
Personnel
NANCY
A.
ROSENBLOOM
Role:
TECHNICAL CONTACT
Phone:
303-497-1000
Fax:
303-497-1695
Email:
nanr at ucar.edu
Contact Address:
National Center for Atmospheric Research
PO Box 3000
City:
Boulder
Province or State:
CO
Postal Code:
80307-3000
Country:
USA
SHANNON
SPENCER
Role:
DIF AUTHOR
Phone:
603-862-1792
Fax:
603-862-0188
Email:
shannon.spencer at unh.edu
Contact Address:
Complex Systems Research Center
Institute for the Study of Earth, Oceans, and Space
Morse Hall
University of New Hampshire
City:
Durham
Province or State:
New Hampshire
Postal Code:
03824
Country:
USA
|
Publications/References
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
Meteorology, 93:211-228.
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
Applications, 4(2):248-257.
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.
Creation and Review Dates
DIF Creation Date:
2000-07-27
Last DIF Revision Date:
2009-04-20
|
|
Links
