Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2010, RCP8.5, Ensemble GCM Results

Dates

Publication Date: 2013-09-10

Summary

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 the mean of the maximum air temperature (degrees C) for June, July, and August for the year 2010 using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical summer temperatures in the decade centered on 2010 rather than the actual temperatures during 2010. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which [...]

Summary

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 the mean of the maximum air temperature (degrees C) for June, July, and August for the year 2010 using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical summer temperatures in the decade centered on 2010 rather than the actual temperatures during 2010. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which allows for more efficient data storage).

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

The dataset was derived from the following sources:

- 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) that were available for every CMIP5 AOGCM; this dataset is based on RCP8.5. Output are at a resolution of approximately 12 km resolution.

- 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.

This dataset is one of multiple climate datasets consisting of:

- Projections for the years 2010, 2020, 2030, 2040, 2050, 2060, 2070, and 2080

- Projections for both the RCP4.5 and RCP8.5 greenhouse gas concentration scenarios

- The following datasets expected to have important effects in determining the occurrence and survival of fish, wildlife, and plant populations:

1) Total annual precipitation
2) Precipitation during the growing season (May-Sept.)
3) Average annual temperature
4) Mean minimum winter temperature
5) Mean maximum summer temperature
6) Mean July temperature
7) Growing degree days (number of days in which the average temperature is >10 degrees C)
8) Heat index 30 (number of days in which the maximum temperature is >30 degrees C)
9) Heat index 35 (number of days in which the maximum temperature is >35 degrees C)

Contacts

Point of Contact :: University of Massachusetts, Department of Environmental Conservation
Metadata Contact :: University of Massachusetts, Department of Environmental Conservation
Originator :: L. Willey and E. Plunkett, University of Massachusetts, Department of Environmental Conservation

Attached Files

sorting

Metadata First

Recent First

Alphabetical

Click on title to download individual files attached to this item.

tmax10_85_131104.xml Original FGDC Metadata	View	7.95 KB	application/fgdc+xml

Extension: tmax10_85_131104.zip
tmax10_85_131104.sd		4.02 MB
thumbnail.png		10.67 KB

Related External Resources

Type: Download

DOWNLOAD ORIGINAL DATA HERE	https://www.fws.gov/science/catalog

Purpose

This dataset represents the mean of the maximum air temperature (degrees C, multiplied by 100) for June, July, and August projected for the year 2010, based on an ensemble of global climate models, a single greenhouse gas concentration scenario (RCP8.5), and downscaling to approx. 600 m resolution using PRISM climate data from 1981-2010. The dataset is intended to represent typical summer temperatures in the decade centered on 2010 rather than the actual temperatures during 2010.

Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2010, RCP8.5, Ensemble GCM Results

Dates

Summary

Summary

Contacts

Attached Files

sorting

Metadata First

Recent First

Alphabetical

Purpose

Preview Image

Map

Spatial Services

Communities

Tags

Provenance

Additional Information

ArcGIS Service Definition Extension

Item Actions

View Item as ...

Save Item as ...

View Item...

Dates

Summary

Summary

Contacts

Attached Files sorting Metadata First Recent First Alphabetical

Related External Resources

Purpose

Preview Image

Map

Spatial Services

Communities

Tags

Provenance

Additional Information

ArcGIS Service Definition Extension

Item Actions

View Item as ...

Save Item as ...

View Item...

Attached Files

sorting

Metadata First

Recent First

Alphabetical