Filters: Tags: moisture index (X)
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Historical and projected climate data and water balance data under three GCMs (CNRM-CM5, CCSM4, and IPSL-CM5A-MR) from 1980 to 2099 was used to assess projected climate change impacts in North Central U.S. We obtained required data from MACA data (https://climate.northwestknowledge.net/MACA/). Historical time period ranges from 1980 to 2005, and projected time period ranges from 2071 to 2099. The climate data includes temperature and precipitation whereas water balance data includes Potential Evapotranspiration (PET) and Moisture Index (MI) estimated using Penman-Monteith and Thornthwaite methods defining as Penman PET, Penman MI, Thornthwaite PET and Thornthwaite MI. Both types of MI was estimated as a ratio of...
Categories: Data;
Tags: Grasslands and Plains,
Landscapes,
MACA,
Moisture Index,
North Central CASC,
Historical and projected climate data and water balance data under three GCMs (CNRM-CM5, CCSM4, and IPSL-CM5A-MR) from 1980 to 2099 was used to assess projected climate change impacts in North Central U.S. We obtained required data from MACA data (https://climate.northwestknowledge.net/MACA/). Historical time period ranges from 1980 to 2005, and projected time period ranges from 2071 to 2099. The climate data includes temperature and precipitation whereas water balance data includes Potential Evapotranspiration (PET) and Moisture Index (MI) estimated using Penman-Monteith and Thornthwaite methods defining as Penman PET, Penman MI, Thornthwaite PET and Thornthwaite MI. Both types of MI was estimated as a ratio of...
Categories: Data;
Tags: Grasslands and Plains,
Landscapes,
MACA,
Moisture Index,
North Central CASC,
ClimateWNA was used to downscale historical data and future climate projections to a 1-km 2 grid. ClimateWNA is a program that generates both directly calculated and derived climate variables for specific locations across western North America (Wang et al. 2012) using Parameter-elevation Regressions on Independent Slopes Model (PRISM). We generated annual, seasonal and monthly climate data for the period 1961 to 1990. For future climate projections, we used the SRES A2 greenhouse-gas emissions scenario from the IPCC Fourth Assessment Report. We generated five sets of future climate projections averaged for the time period 2070-2099: BCCR BCM2.0, CCCMA CGCM3, CSIRO MK 3.0, INMCM 3.0, MIROC3.2 MEDRES. Downloads:...
Historical and projected climate data and water balance data under three GCMs (CNRM-CM5, CCSM4, and IPSL-CM5A-MR) from 1980 to 2099 was used to assess projected climate change impacts in North Central U.S. We obtained required data from MACA data (https://climate.northwestknowledge.net/MACA/). Historical time period ranges from 1980 to 2005, and projected time period ranges from 2071 to 2099. The climate data includes temperature and precipitation whereas water balance data includes Potential Evapotranspiration (PET) and Moisture Index (MI) estimated using Penman-Monteith and Thornthwaite methods defining as Penman PET, Penman MI, Thornthwaite PET and Thornthwaite MI. Both types of MI was estimated as a ratio of...
Categories: Data;
Tags: Grasslands and Plains,
Landscapes,
MACA,
Moisture Index,
North Central CASC,
Categories: Publication;
Types: Citation;
Tags: Forests,
Grasslands and Plains,
Growing season,
Land allocation types,
Landscapes,
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