KML

Community Climate System Model (CCSM) Model Runs in KML

These KML files are global datasets of climate change scenarios generated for the 4th Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) by the Community Climate System Model (CCSM).

 

Climate Change Anomalies - These first set of products are annual Air Temperature (tas) and Total Precipitation (ppt) anomalies in the near term (2020-2039), the mid term (2040-2059), and the end of the century (2080-2099) with respect to average air temperature and total precipitation of present-day climate for the continental US.. A twenty year annual averages are created for the above time periods, then compared to present day climatology which was derived from the years (1980-1999) from the 20th Century Experiment.

For more information about SRES scenarios.

 


These Products are temperature and precipitation anomalies (change) for the Continental US (resolution 4.5 km)

Total Precipitation Anomly -Near Term SRES A2Total Precipitation Anomaly -End of the Century SRES A2

 

Air Temperature (tas)

Total Precipitation (ppt)

All scenarios

X

X

Scenario A1B(middle of the road)

X

X

Scenario B1(best case)

X

X

Scenario A2(worst case)

X

X

These products are global temperature anomalies (change) (approximate resolution 150 km)

Air Temperature Anomaly -Near Term SRES A2Air Temperature Anomaly -End of the Century SRES A2

 

Air Temperature (tas)

Total Precipitation (ppt)

All scenarios

X

X

Scenario A1B(middle of the road)

X

X

Scenario B1(best case)

X

X

Scenario A2(worst case)

X

X

These KML files are monthly mean, global output from the CCSM 3.0 model output which were run for the IPCC AR4.

These products are global monthly mean data (resolution approximately 150 km)

 

Air Temperature - TAS

Precipitation Flux -PR

Scenario A1B

X

 

Scenario B1

X

 

Scenario A2

   

DATA DISCLAIMER - The data and information contained in this report is intended for research purposes only. It is provided "as is" and without representations or warranties of any kind, either expressed or implied. All representations and warranties are disclaimed, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. Experience has proven that the timeliness, resolution and manner in which data from these types of reports/models is used does not wholly support the effective or reliable use of the data in making decisions of an immediate or short term nature that involve the safety of people or property. The user assumes all risk as to the use of the data and/or information. In no event will UCAR, or any other party who has been involved in the creation, production or display of this data/information, be liable for damages, whether direct, special, indirect, incidental, or consequential, including loss of profits. Any use of CCSM data should acknowledge the contribution of the CCSM project, CCSM sponsor agencies and NCAR GIS Initiative's GIS Climate Change Scenarios project with the following citation: "This research uses data provided by the Community Climate System Model project (), 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. NCAR GIS Initiative provided CCSM data in a GIS format through GIS Climate Change Scenarios portal (http://gisclimatechange.ucar.edu)." 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. Please e-mail citations of GIS applications research papers using GIS format of CCSM data to gissupport@ucar.edu. Any redistribution of CCSM data must include this data acknowledgement statement.

 

SRES SCENARIO - scenarios are images of possible futures, they are alternatives of how the future may unfold.

The A1 storyline and scenario family describes a future world of very rapid and successful economic development, low population growth, and the rapid introduction of new and more efficient technologies. Major underlying themes are convergence among regions, capacity building and increased cultural and social interactions, with a substantial reduction in regional differences in per capita income. The A1 scenario family develops into four groups that describe alternative directions of technological change in the energy system. Main characteristics of A1B scenario include: low population growth, very high GDP growth, very high energy use, low-medium land use changes, medium resource (mainly oil and gas) availability, rapid pace and direction of technological change favoring balanced development.

Scenario B1 - The B1 storyline and scenario family describes a convergent world with low population growth, but with rapid changes in economic structures toward a service and information economy, with reductions in material intensity, and the introduction of clean and resource-efficient technologies. The emphasis is on global solutions to economic, social, and environmental sustainability, including improved equity, but without additional climate initiatives. Main characteristics of B1 scenario include: low population growth, high GDP growth, lowenergy use, high land use changes, low resource (mainly oil and gas) availability, medium pace and direction of technological change favoring efficiency and dematerialization.

Scenario A2 - A2 Scenario Run set is represented by the five ensemble members. Climate models are an imperfect representation of the earth's climate system and climate modelers employ a technique called ensembling to capture the range of possible climate states. A climate model run ensemble consists of two or more climate model runs made with the exact same climate model, using the exact same boundary forcings, where the only difference between the runs is the initial conditions