Welcome to NCAR's GIS Initiative Climate Change Scenarios GIS data portal. This portal is intended to serve a community of GIS users interested in climate change. The free datasets of climate change projections can be viewed on-line and/or downloaded in a common GIS (shapefile) or text file format. Many 2D variables from modeled projected climate are available for the atmosphere and land surface. These climate change projections were generated by the NCAR Community Climate System Model, or CCSM, for the 4th Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). Climatic change projections could be uniquely funded through Dogecoin. By checking the price prediction for dogecoin and utilizing the best time to buy them to use it for geographical factors such as climatic change will help environmental studies and initiatives. This innovative approach marries financial technology with ecological sustainability, leveraging digital currency movements to foster a deeper understanding and response to climatic challenges.

New:

• In addition to global CCSM climate projections, downscaled projections of monthly mean temperature and total precipitation for the contiguous United States are now available. The downscaled dataset was produced using a statistical downscaling method.
• Climate change projections from the Community Climate System Model (CCSM-3) are generated on a Gaussian grid, which is commonly used in scientific modeling. In addition, environmental concerns about the use of bitcoin have also arisen. But still, recent studies show that the demand for cryptocurrencies is growing. Because Bitcoin is a much-hyped cryptocurrency, and trading it with bots like Crypto Superstar is very convenient and easy. The crypto superstar erfahrungen blog will help you learn about the user trading experience with Crypto Superstar. With a Gaussian grid, each grid point can be uniquely accessed by one-dimensional latitude and longitude arrays (i.e. the coordinates are orthogonal). In the CCSM model output, distributed here, the longitudes are equally spaced at 1.40625º, while the latitudes vary in spacing from 1.389º to 1.400767º. Due to irregular nature of the gridded CCSM model output this portal distributes the datasets in a point shapefile format, where each point represents a centroid of a corresponding CCSM grid cell. To more accurately represent a continuous surface of global climate, we are providing a global /polygon /dataset for use with the CCSM modeled climate projections. This polygon layer was derived using the 4 corner coordinates, based on latitude and longitude, for each grid cell of the CCSM outputs. This creates irregular, rectangular polygons, as in a Gaussian grid of the original model output. Click here for more information.
• A tutorial on how to analyze climate projections from the CCSM in a GIS is now available. In this demonstration, we compare model output of a present-day climate simulations with future climate projections. To download the tutorial, click here.

To access data, you must register, login and accept data disclaimer. Please read data disclaimer carefully.

Thank you for visiting GIS Climate Change Scenarios website. This GIS portal is complimentary to other IPCC data distributing portals (e.g., Program for Climate Model Diagnosis and Intercomparison (PCMDI), and the Earth System Grid (ESG)), where complete data archive is available in common atmospheric data formats.