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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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This dataset was created using the MC1 Dynamic Global Vegetation Model. It represents the mode of projected vegetation types for the time period 2041 to 2050 under the down-scaled CGCM3 Global Circulation Model under the A2 emissions scenario. The fire suppression condition was set for the model run. The spatial resolution is 30 arc seconds, and the extent is the four corners region of the southwestern USA (Utah, Colorado, Arizona and New Mexico).
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This dataset was created using the MC1 Dynamic Global Vegetation Model. It represents the mode of projected vegetation types for the time period 2041 to 2050 under the down-scaled MIROC3 Global Circulation Model under the A2 emissions scenario. The fire suppression condition was set for the model run. The spatial resolution is 30 arc seconds, and the extent is the four corners region of the southwestern USA (Utah, Colorado, Arizona and New Mexico).
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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We summed the number of wildfires, regardless of their size, simulated by the model MC2 for each pixel for the 21st century. We averaged that number across 12 different climate future runs. The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration...
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This dataset was created using the MC1 Dynamic Global Vegetation Model. It represents the mode of projected vegetation types for the time period 2041 to 2050 under the down-scaled CGCM3 Global Circulation Model under the B1 emissions scenario. The fire suppression condition was set for the model run. The spatial resolution is 30 arc seconds, and the extent is the four corners region of the southwestern USA (Utah, Colorado, Arizona and New Mexico).
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al 2011). Representative Concentration Pathway define a specific emissions trajectory and subsequent radiative forcing. Radiative forcing is a measure of the influence a factor has in altering the balance of incoming and outgoing...
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We counted the number of changes from one vegetation type to another for each pixel over a 30 year period across all climate futures simulated by the vegetation model MC2 . The higher the number the less stable a pixel is.The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways (RCPs) 8.5 and 4.5 (Moss et al. 2010, van Vuuren et. al...
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The vegetation model MC2 was run for 12 different climate futures. We counted the number of instances model results agreed on the direction of change in C stocks (loss/gain) for each pixel and averaged it over the time period. In this case we used change in total ecosystem carbon.The dynamic vegetation model MC2 used a suite of climate futures from the Coupled Model Intercomparison Project (CMIP5, http://cmip-pcmdi.llnl.gov/cmip5/ downscaled using a fairly new statistical downscaling approach (Abatzoglou 2011), Multivariate Adaptive Constructed Analogs (MACA), over the western US. The vegetation model was run on the NASA Earth Exchange (NEX) platform at 4km resolution for 2 representative concentration pathways...


map background search result map search result map RCP 4.5 GFDL-ESM2M 2071-2100 modal Vegetation Type, MC2 RCP 4.5 MIROC-ESM 2071-2100 modal Vegetation Type, MC2 RCP 4.5 GFDL-ESM2M 2071-2100 modal Vegetation Type, MC2 RCP 4.5 MIROC-ESM-CHEM 2036-2065 modal Vegetation Type, MC2 RCP 4.5 inmcm4 2036-2065 modal Vegetation Type, MC2 RCP 4.5 GFDL-ESM2M 2036-2065 modal Vegetation Type, MC2 RCP 4.5 bcc-csm1-1 2036-2065 modal Vegetation Type, MC2 RCP 4.5 BNU-ESM 2071-2100 modal Vegetation Type, MC2 RCP 8.5 - Average Number of Wildfires across all climate futures - 2001-2100 RCP 8.5 - Agreement for C gain across all climate futures - 2071-2100 RCP 8.5 - Vegetation Instability across all climate futures - 2071-2100 RCP 8.5 CSIRO 2071-2100 modal Vegetation Type, MC2 RCP 8.5 MIROC-ESM 2036-2065 modal Vegetation Type, MC2 Historic 1971-2000 modal Vegetation Type, MC2 RCP 8.5 MIROC-ESM-CHEM 2071-2100 modal Vegetation Type, MC2 RCP 8.5 MRI-CGCM 2071-2100 modal Vegetation Type, MC2 RCP 8.5 bcc-csm 1-1-m 2036-2065 modal Vegetation Type, MC2 MC1 projections of potential vegetation types for (2041 to 2050) under the CGCM3 GCM A2 scenario MC1 projections of potential vegetation types for (2041 to 2050) under the CGCM3 GCM B1 scenario MC1 projections of potential vegetation types for (2041 to 2050) under the MIROC3 GCM A2 scenario MC1 projections of potential vegetation types for (2041 to 2050) under the CGCM3 GCM A2 scenario MC1 projections of potential vegetation types for (2041 to 2050) under the CGCM3 GCM B1 scenario MC1 projections of potential vegetation types for (2041 to 2050) under the MIROC3 GCM A2 scenario RCP 4.5 GFDL-ESM2M 2071-2100 modal Vegetation Type, MC2 RCP 4.5 MIROC-ESM 2071-2100 modal Vegetation Type, MC2 RCP 4.5 GFDL-ESM2M 2071-2100 modal Vegetation Type, MC2 RCP 4.5 MIROC-ESM-CHEM 2036-2065 modal Vegetation Type, MC2 RCP 4.5 inmcm4 2036-2065 modal Vegetation Type, MC2 RCP 4.5 GFDL-ESM2M 2036-2065 modal Vegetation Type, MC2 RCP 4.5 bcc-csm1-1 2036-2065 modal Vegetation Type, MC2 RCP 4.5 BNU-ESM 2071-2100 modal Vegetation Type, MC2 RCP 8.5 - Average Number of Wildfires across all climate futures - 2001-2100 RCP 8.5 - Agreement for C gain across all climate futures - 2071-2100 RCP 8.5 - Vegetation Instability across all climate futures - 2071-2100 RCP 8.5 CSIRO 2071-2100 modal Vegetation Type, MC2 RCP 8.5 MIROC-ESM 2036-2065 modal Vegetation Type, MC2 Historic 1971-2000 modal Vegetation Type, MC2 RCP 8.5 MIROC-ESM-CHEM 2071-2100 modal Vegetation Type, MC2 RCP 8.5 MRI-CGCM 2071-2100 modal Vegetation Type, MC2 RCP 8.5 bcc-csm 1-1-m 2036-2065 modal Vegetation Type, MC2