Folder: Climate Change ( Show direct descendants )
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Climate change data for 3 time periods, 1916-2006, 2030-2059, and 2070-2099, in the following themes: Climate change data for 3 time periods, 1916-2006, 2030-2059, and 2070-2099, in the following themes: Base Flow, Combined Flow, Evapotranspiration, Average Temperature, Maximum Temperature, Minimum Temperature, PET 1, PET 5, Precipitation, Relative Humidity, Runoff, Snow Depth, Snow Water Equivalent, Soil Moisture, Soil Moisture Deficit, Water Balance Deficit. Base Flow Combined Flow Evapotranspiration Average Temperature Maximum Temperature Minimum Temperature PET 1 PET 5
This dataset contains 8 layers showing current and predicted ranges of lodgepole pine (Pinus contorta ). One layer demonstrates range according to current climate conditions averaged from the period 1950-1975. Six layers model predicted ranges according to two different IPCC scenarios according to their Canadian Climate Centre modeling and Analysis (CCCma) third generation general correlation models (CGCM3) A2 and B1, in the years 2020, 2050, and 2080. An 8th layer shows a continuous model of predicted occurrence for the period 1975-2006.
Planning for the effects of climate change on natural resources often requires detailed projections of future climate at finer spatial scales consistent with the processes managers typically consider. While it is numerically possible to produce downscaled climate at very fine scales (< 5km), accurate estimation at these scales is difficult and less certain without very detailed local information. Both the absence of a sufficiently dense network of long-term climate observations and the presence of local factors such as topography and land surface feedbacks from vegetation and snowpack contribute to the uncertainties of localized projections. To meet the needs of managers for developing adaptation strategies, vulnerability...
The Monthly Projected Minimum Temperature (TMIN) data sets are part of the downscaled global climate models created for the 2008 California climate change assessment. These files are made from daily data and are monthly mean values in degrees Celsius. TMIN layers have been created through a Bias Corrected Statistical Downscaling (BCSD) approach and are currently available for the cnrmcm3, gfdlcm21, ncarccsm3, and ncarpcm1 models under the A2 and B1 scenarios. The BCSD data cover 31.9375N to 43.9375N and 124.5625W to 113.0625W. The VIC grid is a 1/8th degree grid so this makes a "box" of 93 longitudes by 97 latitudes. The VIC computations are done over land only. For the 93x97 box there would be a total of 9021 points...
This dataset contains 8 layers showing current and predicted ranges of Douglas fir (Pseudotsuga menziesii). One layer demonstrates range according to current climate conditions averaged from the period 1950-1975. Six layers model predicted ranges according to two different IPCC scenarios according to their Canadian Climate Centre modeling and Analysis (CCCma) third generation general correlation models (CGCM3) A2 and B1, in the years 2020, 2050, and 2080. An 8th layer shows a continuous model of predicted occurrence for the period 1975-2006.
The Monthly Projected Snow Water Equivalence (SNWE) data sets are part of the downscaled global climate models created for the 2008 California climate change assessment. These files are made from daily data and are monthly mean values in millimeters. SNWE layers have been created through a Bias Corrected Statistical Downscaling (BCSD) approach and are currently available for the cnrmcm3, gfdlcm21, ncarccsm3, and ncarpcm1 models under the A2 and B1 scenarios. The BCSD data cover 31.9375N to 43.9375N and 124.5625W to 113.0625W. The VIC grid is a 1/8th degree grid so this makes a "box" of 93 longitudes by 97 latitudes. The VIC computations are done over land only. For the 93x97 box there would be a total of 9021 points...
This dataset contains 8 layers showing current and predicted ranges of noble fir (Abies procera) . One layer demonstrates range according to current climate conditions averaged from the period 1950-1975. Six layers model predicted ranges according to two different IPCC scenarios according to their Canadian Climate Centre modeling and Analysis (CCCma) third generation general correlation models (CGCM3) A2 and B1, in the years 2020, 2050, and 2080. An 8th layer shows a continuous model of predicted occurrence for the period 1975-2006.
This dataset contains 8 layers showing current and predicted ranges of sitka spruce (Picea sitchensis ). One layer demonstrates range according to current climate conditions averaged from the period 1950-1975. Six layers model predicted ranges according to two different IPCC scenarios according to their Canadian Climate Centre modeling and Analysis (CCCma) third generation general correlation models (CGCM3) A2 and B1, in the years 2020, 2050, and 2080. An 8th layer shows a continuous model of predicted occurrence for the period 1975-2006.
The concept of potential natural vegetation (PNV), the plant community reflecting the environmental capability of a land area, has proven vital to land management over the past 30 years. Rigorous, consistent, validated potential vegetation mapping, however, has remained a persistent need for land management agencies. The development of this dataset represents a new way to model and map PNV to help fulfill those requirements.
The Monthly Projected Relative Humidity(RHUM) data sets are part of the downscaled global climate models created for the 2008 California climate change assessment. These files are made from daily data and are monthly mean values as a percentage. RHUM layers have been created through a Bias Corrected Statistical Downscaling (BCSD) approach and are currently available for the cnrmcm3, gfdlcm21, ncarccsm3, and ncarpcm1 models under the A2 and B1 scenarios. The BCSD data cover 31.9375N to 43.9375N and 124.5625W to 113.0625W. The VIC grid is a 1/8th degree grid so this makes a "box" of 93 longitudes by 97 latitudes. The VIC computations are done over land only. For the 93x97 box there would be a total of 9021 points...
This dataset contains 8 layers showing current and predicted ranges of western redcedar (Thuja plicata ). One layer demonstrates range according to current climate conditions averaged from the period 1950-1975. Six layers model predicted ranges according to two different IPCC scenarios according to their Canadian Climate Centre modeling and Analysis (CCCma) third generation general correlation models (CGCM3) A2 and B1, in the years 2020, 2050, and 2080. An 8th layer shows a continuous model of predicted occurrence for the period 1975-2006.
The Monthly Projected Net Radiation (NRAD) data sets are part of the downscaled global climate models created for the 2008 California climate change assessment. This includes long and shortwaves. These files are made from daily data and are monthly mean values in Watt per square meter. NRAD layers have been created through a Bias Corrected Statistical Downscaling (BCSD) approach and are currently available for the cnrmcm3, gfdlcm21, ncarccsm3, and ncarpcm1 models under the A2 and B1 scenarios. The BCSD data cover 31.9375N to 43.9375N and 124.5625W to 113.0625W. The VIC grid is a 1/8th degree grid so this makes a "box" of 93 longitudes by 97 latitudes. The VIC computations are done over land only. For the 93x97 box...
The Monthly Projected Fractional Moisture in the Entire Soil Column (SMCL) data sets are part of the downscaled global climate models created for the 2008 California climate change assessment. These files are made from daily data and are monthly mean values as a percentage. SMCL layers have been created through a Bias Corrected Statistical Downscaling (BCSD) approach and are currently available for the cnrmcm3, gfdlcm21, ncarccsm3, and ncarpcm1 models under the A2 and B1 scenarios. The BCSD data cover 31.9375N to 43.9375N and 124.5625W to 113.0625W. The VIC grid is a 1/8th degree grid so this makes a "box" of 93 longitudes by 97 latitudes. The VIC computations are done over land only. For the 93x97 box there would...
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