Total Annual Precipitation (mm/year) for Northeast, Projected for 2060, RCP4.5, Ensemble GCM Results
Dataset Identification:
Resource Abstract:
To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United
States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial
resolution for the entire Northeast. The projections are based upon publicly available climate models. This dataset represents
projectiosn of the total average annual precipitation (mm/year) using one of two IPCC greenhouse gas concentration scenarios
(RCP4.5). <br /> <br /> Detailed documentation for all of the UMass climate datasets is available from: http://jamba.provost.ads.umass.edu/web/lcc/DSL_documentation_climate.pdf
. The climate work is part of the Designing Sustainable Landscapes project led by Professor Kevin McGarigal of UMass Amherst
and sponsored by the North Atlantic Landscape Conservation Cooperative; for more information about the entire project see:
http://www.umass.edu/landeco/research/dsl/dsl.html <br /> <br /> The dataset was derived from the following sources: <br />
<br /> - An average or ensemble of results from 14 Atmospheric-Ocean Circulation Models (AOGCMs) publicly available from the
World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 5 (CMIP5). These complex models produce
long-term climate projections by integrating oceanic and atmospheric processes. The results have been downscaled (projected
to a finer resolution) using the Bias Corrected Spatial Disaggregation (BCSD) approach. Results were developed for the two
scenarios of greenhouse gas concentrations (RCP4.5 and RCP8.5). Output are at a resolution of approximately 12 km resolution.
<br /> <br /> - The results were further refined to approximately 600 m resolution by reference to the Parameter-elevation
Relationships on Independent Slopes Model (PRISM) dataset, This model takes into account elevation, aspect, proximity to the
coast, and other factors to predict climate based on results from 10,000 weather stations. Thirty year average data for 1981-2010
(i.e., centered on 1995) were used. <br /> <br /> This dataset is one of multiple climate datasets consisting of: <br /> <br
/> - Projections for the years 2010, 2020, 2030, 2040, 2050, 2060, 2070, and 2080 <br /> <br /> - Projections for both the
RCP4.5 and RCP8.5 greenhouse gas concentration scenarios <br /> <br /> - The following datasets expected to have important
effects in determining the occurrence and survival of fish, wildlife, and plant populations: <br /> <br /> 1) Total annual
precipitation <br /> 2) Precipitation during the growing season (May-Sept.) <br /> 3) Average annual temperature <br /> 4)
Mean minimum winter temperature <br /> 5) Mean maximum summer temperature <br /> 6) Mean July temperature <br /> 7) Growing
degree days (number of days in which the average temperature is >10 degrees C) <br /> 8) Heat index 30 (number of days
in which the maximum temperature is >30 degrees C) <br /> 9) Heat index 35 (number of days in which the maximum temperature
is >35 degrees C)
Citation
Title Total Annual Precipitation (mm/year) for Northeast, Projected for 2060, RCP4.5, Ensemble GCM Results
other Citation Details
Cinergi keyword enhanced at Tue Jan 17 08:41:58 UTC 2017
purpose:
This dataset represents projections of the total average annual precipitation (mm/year) for the year 2060, based on an ensemble
of global climate models, a single greenhouse gas concentration scenario (RCP4.5), and downscaling to approx. 600 m resolution
using PRISM climate data from 1981-2010. The dataset is intended to represent typical total annual precipitation in the decade
centered on 2060 rather than the actual precipitation during 2060.