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This dataset represents the difference between future and historic maximum temperatures under the CSIRO A2 future climate scenario.
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SUMWIN from the MC1 simulation of the Apache-Sitgreaves study area (1/28/11) mean values 1984-2008
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Decadal aflivcx Hadley future east NGP juniper 50% grazing spring burn 40 yr return, high regen capacity. Â For all Hadley decadal aves the final decade is actually 9 years long - 2091-2099.
Tags: mc1
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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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Percent change in the average surface runoff for each HUC5 watershed between historical (1971-2000) and future (2071-2100) time periods. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario.Simulated mean annual surface runoff (in mm H2O yr-1), was determined for each HUC5 watershed by averaging values of original ~ 4 km raster data. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen...
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Percent change in the mean area burned per year (per ~4 km pixel ) for each HUC5 watershed between historical (1971-2000) and future (2071-2100) time periods. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario.Mean area burned per year per ~4 km pixel, (in square meters), was determined for each HUC5 watershed. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget,...
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Agreement in predicted marten year-round distribution derived from future (2046-2065) climate projections and vegetation simulations using 3 GCMs (Hadley CM3 (Johns et al. 2003), MIROC (Hasumi and Emori 2004), and CSIRO Mk3 (Gordon 2002)) under the A2 emissions scenario (Naki?enovi? et al. 2000). Projected marten distribution was created with Maxent (Phillips et al. 2006) using marten detections (N = 302, spanning 1990 – 2011) and eight predictor variables: mean potential evapotranspiration, mean annual precipitation, mean fraction of vegetation carbon burned, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, understory index (fraction of grass vegetation carbon in forest), average maximum...
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Predicted probability of marten year-round occurrence derived from future (2076-2095) climate projections and vegetation simulations. Projected marten distribution was created with Maxent (Phillips et al. 2006) using marten detections (N = 102, spanning 1993 – 2011) and eight predictor variables: mean potential evapotranspiration, mean annual precipitation, mean fraction of vegetation carbon burned, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, understory index (fraction of grass vegetation carbon in forest), average maximum tree LAI, and modal vegetation class. Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections,...
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Future winter (January – March) precipitation (mm; averaged over 2046-2065) at a 4 km x 4 km spatial resolution using future climate projections provided through CMIP3 (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections, in this case MIROC 3.2 medres (Hasumi and Emori 2004) under the A2 emission scenario (Naki?enovi? et al. 2000). The deltas (differences for temperatures and ratios for precipitation) were used to modify PRISM 4km historical baseline (Daly et al. 1994). Note: The MC1 model is described in data basin (http://databasin.org/climate-center/features/mc1-dynamic-global-vegetation-model)....
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This map represents the percent change in total ecosystem carbon from 1971-2000 to 2070-2099, simulated by the model MC1 under the Hadley future climate projection and A2 anthropogenic emissions scenario. The average annual value of total ecosystem carbon for the respective 30-year periods decreased in some of the 5,311 grid cells of the Eastern Oregon study area and increased in others.The range of data values is from -18.2% to +194.1%. The mean value is -78.0% The vegetation model MC1 (e.g. Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts at two study sites, one in eastern Oregon (Deschutes and Fremont-Winema National Forests)...
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This map represents the difference in annual minimum temperatures, simulated by the model MC1 between the 30-year periods 1971-2000 and 2070-2099, using the Hadley future climate projection under the A2 anthropogenic emission scenario. The average annual minimum temperature for the respective 30-year periods increased in all of the 5,311 grid cells of the Apache-Sitgreaves study area. The greatest increase was 4.35 C; the least increase was 4.26 C; and the mean increase was 4.31 C. The vegetation model MC1 (e.g. Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts at two study sites in eastern Oregon (Deschutes and Fremont-Winema...
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This map represents the mean for the 30 year period 1971-2000 of the annual peak value of the fraction of live vegetation carbon which is in herbaceous (as opposed to woody) vegetation. The data is from output variable GFRAC in MC1 version B60. The data values are unitless fractions and range from 0 to 1. The vegetation model MC1 (e.g. Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts at two study sites in eastern Oregon (Deschutes and Fremont-Winema National Forests) and in Arizona (Apache Sitgreaves National Forest area) in the context of a project funded by the USDA Forest Service (PNW 09-JV-11261900-003). Historical climate...
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Change in the majority generalized vegetation type for each HUC5 watershed between historical (1971-2000) and future (2071-2100) time periods. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario. Majority generalized vegetation type was determined for each HUC5 watershed from from original ~ 4 km raster data. Generalized vegetation types were assigned by combining detailed MC1 vegetation classes into four general catagories: desert, grassland, shrubland, and forest. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background:...
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These data are forecast barren land change under the PCM A2 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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These data are forecast barren land change under the GFDL B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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These data are forecast barren land change under the PCM A2&B1 scenarios, calculated using the outputs from runs of the USFS Pacific Northwest Research Station and WWETAC MC1 Vegetation model.MC1 Vegetation Model description: This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized...
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This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...


map background search result map search result map AFLIVCXmy1 HE0.86fixPnMPj5g50FSpringburn40yrFM0.Intlp0.02_my1 Forecast Barren Land Change Under PCM A2, 2080-2099 Forecast Barren Land Change Under GFDL B1, 2010-2029 Forecast Barren Land Change Under PCM A2 and B1 Scenario, 2080-2099 Simulated Snowpack During Historical Period Simulated change in generalized vegetation types between historical and future time periods under three climate change projections for OR and WA, USA Simulated percent change in surface runoff between historical and future time periods under three climate change projections for AZ and NM, USA Simulated percent change in area burned between historical and future time periods under three climate change projections for AZ and NM, USA Overlay of projected marten distributions, 2046-2065, 800 m resolution Predicted probability of marten year-round occurrence, 2076-2095, Hadley CM3 A2, 800 m resolution Mean winter (January – March) precipitation, 2046-2065, MIROC A2, 4 km resolution Percent change in the average annual value of total ecosystem carbon between 1971-2000 and 2070-2099, as simulated by MC1 under Hadley A2 for the Eastern Oregon study area, USA Difference in mean annual minimum temperatures between 1971-2000 and 2070-2099 under Hadley A2 for the Apache-Sitgreaves study area, Arizona, USA 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. Annual Fraction of the Total Live Vegetation Carbon Held in Herbaceous Plants (1971-2000) for the Apache-Sitgreaves study area, Arizona, USA Calculated difference between simulated minimum temperatures for 2071 to 2100 under MIROC A2 climate scenario for the eastern Oregon study area, USA Average value of daily maximum temperatures (2071 to 2100) under MIROC A2 future climate scenario for the eastern Oregon study area USA Average vapor pressure deficit 2071 to 2000 under the CSIRO A2 climate scenario for the eastern Oregon study area USA Mean temperature difference between the warmest and coldest month of the year, (1984 - 2008) for the Apache - Sitgraves study area, Arizona, USA Percent change in the average annual value of total ecosystem carbon between 1971-2000 and 2070-2099, as simulated by MC1 under Hadley A2 for the Eastern Oregon study area, USA Calculated difference between simulated minimum temperatures for 2071 to 2100 under MIROC A2 climate scenario for the eastern Oregon study area, USA Average value of daily maximum temperatures (2071 to 2100) under MIROC A2 future climate scenario for the eastern Oregon study area USA Average vapor pressure deficit 2071 to 2000 under the CSIRO A2 climate scenario for the eastern Oregon study area USA Forecast Barren Land Change Under PCM A2, 2080-2099 Forecast Barren Land Change Under PCM A2 and B1 Scenario, 2080-2099 Forecast Barren Land Change Under GFDL B1, 2010-2029 AFLIVCXmy1 HE0.86fixPnMPj5g50FSpringburn40yrFM0.Intlp0.02_my1 Simulated Snowpack During Historical Period Overlay of projected marten distributions, 2046-2065, 800 m resolution Predicted probability of marten year-round occurrence, 2076-2095, Hadley CM3 A2, 800 m resolution Simulated percent change in surface runoff between historical and future time periods under three climate change projections for AZ and NM, USA Simulated percent change in area burned between historical and future time periods under three climate change projections for AZ and NM, USA Simulated change in generalized vegetation types between historical and future time periods under three climate change projections for OR and WA, USA Mean winter (January – March) precipitation, 2046-2065, MIROC A2, 4 km resolution 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.