Down-scaled IPCC Scenarios
This dataset simulates daily surfaces of temperature, precipitation,
humidity, and radiation on a 1km grid over the conterminous United
States. Temperature and precipitation are generated by a
modified version of WGEN (Weather Generator)(Richardson and Wright, 1984), conditioned by
the 1km Daymet
dataset estimates of these variables from 1980-2003. Humidity
and radiation variables are simulated by MtClim4 (Thornton et al.,
2000). Daily variables are based on future climate
projections derived from coupled atmospheric-ocean global climate model
experiments with transient greenhouse gas and sulfate aerosol forcing.
The GCM model scenarios are downscaled from NCAR Community Climate
System Model (CCSM) simulations for the IPCC SRESA1B
Scenario. The downscaling process depends
critically on the PRISM dataset (www.prismclimate.org).
Attributions:
This dataset was developed under the sponsorship of the H. John Heinz III Center for Science, Economics and the Environment.
1. Original work developing VEMAP2 techniques for daily disaggregation
and spatial downscaling of GCM scenarios was funded by NASA Mission to
Planet Earth, USDA Forest Service Global Change Research Program, and
the Electric Power Research Institute (EPRI). The daily disaggregation
scheme is reported in Kittel et al. (2004, /Climate Research /27:151-170).
2. This research uses data provided by the Community Climate System
Model project (www.ccsm.ucar.edu), supported by the Directorate for
Geosciences of the National Science Foundation and the Office of
Biological and Environmental Research of the U.S. Department of Energy.
In addition, the words 'Community Climate System Model' and 'CCSM'
should be included as metadata for webpages referencing work using CCSM
data or as keywords provided to journal or book publishers of your
manuscripts. Users of CCSM data accept the responsibility of emailing
citations of publications of research using CCSM data to ccsm@ucar.edu.
Any redistribution of CCSM data must include this data acknowledgement
statement.
3. Down-scaled IPCC Scenarios are provided by the Geophysical Statistics
Project at NCAR (www.image.ucar.edu/GSP) and
the NCAR GIS Initiative's
GIS Climate Change Scenarios project (www.gisclimatechange.org). The
downscaled data critically depend on both the PRISM dataset of the PRISM
Group at Oregon State University (www.prismclimate.org) and data
provided by the Community Climate System Model project
(www.ccsm.ucar.edu). The CCSM project is supported by the Directorate
for Geosciences of the National Science Foundation and the Office of
Biological and Environmental Research of the U.S. Department of Energy.
4. Daymet was developed at the University of Montana, Numerical
Terradynamic Simulation Group (NTSG). This data is currently being
distributed, free of charge, from the NTSG lab through its outreach
component, the EOS Training Center Natural Resource Project. The Daymet
U.S. database is indexed by the Oak Ridge National Laboratory,
Distributed Active Archive Center (ORNL DAAC), in their list of Regional
and Global Data for Global Change Research. The Daymet data is also
available in downloaded regional 'tile's through NCAR's Community Data
Portal.
References:
Richardson, C.W. 1981. Stochastic simulation of daily precipitation,
temperature and solar radiation. Water Resources Research 17:182-190.
Richardson, C.W., and D.A. Wright. 1984. /WGEN: A Model for Generating
Daily Weather Variables./ U.S. Department of Agriculture, Agricultural
Research Service, ARS-8, p 83.
Thornton, P.E., H. Hasenauer, and M.A. White. 2000. Simultaneous
estimation of daily solar radiation and humidity from observed
temperature and precipitation: an application over complex terrain in
Austria. Agricultural and Forest Meteorology, 104:255-271.