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This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future – Historical)/Historical)*100) Where Future is the average value for 2050-2099 and Historical is the average value for 1950-1999. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
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This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future – Historical)/Historical)*100) Where Future is the average value for 2050-2099 and Historical is the average value for 1950-1999. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
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These results come from the VINCERA version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
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These results come from the VINCERA version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
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These results come from the VINCERA version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
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These results come from the VINCERA version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
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These results come from the VINCERA version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
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For each HADCM3 gridcell: A 12-month average temperature was calculated for 1961-1990 based on the simulated transient historical data. Result is a 12 month simulated climatology at the scale of the HADCM3 grid. For each forecast month a difference anomaly was calculated (ex. January_2021 – Mean_historical_January). Result is a 100 year monthly set of temperature anomalies at the scale of the HADCM3 grid. For each forecast month: Gridded anomalies were interpolated to a ½ degree grid using a bilinear interpolation. For each forecast month and each ½ degree gridcell: The anomaly for that month is added to the CRU historical mean temperature (ex. CRU_Mean_January_1961-1990 + January_2021_anomaly). Result...
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This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future – Historical)/Historical)*100) Where Future is the average value for 2050-2099 and Historical is the average value for 1950-1999. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
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These results come from the VINCERA version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
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For each CSIRO Mk3.0 gridcell: A 12-month average temperature was calculated for 1961-1990 based on the simulated transient historical data. Result is a 12 month simulated climatology at the scale of the CSIRO Mk3.0 grid. For each forecast month a difference anomaly was calculated (ex. January_2021 – Mean_historical_January). Result is a 100 year monthly set of temperature anomalies at the scale of the CSIRO Mk3.0 grid. For each forecast month: Gridded anomalies were interpolated to a ½ degree grid using a bilinear interpolation. For each forecast month and each ½ degree gridcell: The anomaly for that month is added to the CRU historical mean temperature (ex. CRU_Mean_January_1961-1990 + January_2021_anomaly)....


    map background search result map search result map Vegetation Type for the North America Simulated for Years 2070-2099 for the HadCM3 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CSIRO Mk2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CGCM2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the HadCM3 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Suppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CGCM2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Suppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CSIRO Mk2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Suppressed Fires) Mean Monthly Maximum Temperature (degrees C) for 2070-2099 Over North America at 5 arc-minutes downscaled from CSIRO Mk3.0 / SRES A2 climate model simulations Mean Monthly Maximum Temperature (degrees C) for 2070-2099 Over North America at 5 arc-minutes downscaled from HadCM3 / SRES A2 climate model simulations Percent change in biomass consumed by fire for years 2050-2099 versus 1950-1999 simulated using the MC1 model with MIROC 3.2 medres climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in biomass consumed by fire for years 2050-2099 versus 1950-1999 simulated using the MC1 model with HADCM3 climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in biomass consumed by fire for years 2050-2099 versus 1950-1999 simulated using the MC1 model with CSIRO Mk3.0 climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Difference change in temperature (2070-2099 vs 1961-1990) based on HADCM3 climate projections under the A2 anthropogenic emission scenario over USA and Canada at a half degree spatial grain Global Average Monthly Temperature for 2070-2099, CSIRO Mk3.0 SRES A2 at a ½ Degree Grid Resolution Global Average Monthly Temperature (°C) for HADCM3 SRES A2 at a ½ Degree Grid Resolution, 2070-2099 Vegetation Type for the North America Simulated for Years 2070-2099 for the HadCM3 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CSIRO Mk2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CGCM2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the HadCM3 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Suppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CGCM2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Suppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CSIRO Mk2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Suppressed Fires) Mean Monthly Maximum Temperature (degrees C) for 2070-2099 Over North America at 5 arc-minutes downscaled from CSIRO Mk3.0 / SRES A2 climate model simulations Mean Monthly Maximum Temperature (degrees C) for 2070-2099 Over North America at 5 arc-minutes downscaled from HadCM3 / SRES A2 climate model simulations Difference change in temperature (2070-2099 vs 1961-1990) based on HADCM3 climate projections under the A2 anthropogenic emission scenario over USA and Canada at a half degree spatial grain Percent change in biomass consumed by fire for years 2050-2099 versus 1950-1999 simulated using the MC1 model with MIROC 3.2 medres climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in biomass consumed by fire for years 2050-2099 versus 1950-1999 simulated using the MC1 model with HADCM3 climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Percent change in biomass consumed by fire for years 2050-2099 versus 1950-1999 simulated using the MC1 model with CSIRO Mk3.0 climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe. Global Average Monthly Temperature for 2070-2099, CSIRO Mk3.0 SRES A2 at a ½ Degree Grid Resolution Global Average Monthly Temperature (°C) for HADCM3 SRES A2 at a ½ Degree Grid Resolution, 2070-2099