This tabular data set represents estimated monthly maximum temperature (in degrees Fahrenheit) over the period 2006-2099 compiled for NHDPlus version 2 data suite (NHDPlusv2) catchments. This dataset can be linked to the NHDPlusv2 by the unique identifier COMID. The source data is Multivariate Adaptive Constructed Analogs (MACA) (Abatzoglou & Brown, 2011). Summaries are provided for five regions corresponding to NHDPlus vector processing units (VPUs): VPU 02, VPU 03w, VPU 04, VPU 14, and VPU 17.

This tabular data set represents estimated monthly minimum temperature (in degrees Fahrenheit) over the period 2006-2099 compiled for NHDPlus version 2 data suite (NHDPlusv2) catchments. This dataset can be linked to the NHDPlusv2 by the unique identifier COMID. The source data is Multivariate Adaptive Constructed Analogs (MACA) (Abatzoglou & Brown, 2011). Summaries are provided for five regions corresponding to NHDPlus vector processing units (VPUs): VPU 02, VPU 03w, VPU 04, VPU 14, and VPU 17.

This tabular data set represents estimated monthly precipitation (in millimeters) over the period 2006-2099 compiled for NHDPlus version 2 data suite (NHDPlusv2) catchments. This dataset can be linked to the NHDPlusv2 by the unique identifier COMID. The source data is Multivariate Adaptive Constructed Analogs (MACA) (Abatzoglou Brown, 2011). Summaries are provided for five regions corresponding to NHDPlus vector processing units (VPUs): VPU 02, VPU 03w, VPU 04, VPU 14, and VPU 17.

This tabular data set represents monthly water balance model outputs over the period 1950-2005 compiled for NHDPlus version 2 data suite (NHDPlusv2) catchments. This dataset can be linked to the NHDPlusv2 by the unique identifier COMIDin the flowline shapefiles or FEATUREID in the catchment ones in the NHDPlusV2 data suite. The source data is CMIP5 MACAv2-METDATA Monthly Water Balance Model Projections 1950-2099 for the Contiguous United States (Alder & Hostetler, 2021). Variables summarized are: actual evapotranspiration, evapotranspiration deficit, potential evapotranspiration, runoff, snow water equivalent, and soil moisture storage. Six General Circulation Models (GCMs) are summarized for each variable: BNU-ESM, HadGEM2-ES365, inmcm4, MRI-CGCM3, MIROC ESM CHEM, and NorESM1-M. Summaries are provided for five regions corresponding to NHDPlus vector processing units (VPUs): VPU 02 (Mid-Atlantic), VPU 03w (South Atlantic West), VPU 04 (Great Lakes), VPU 14 (Upper Colorado), and VPU 17 (Pacific Northwest).

This tabular data set represents monthly water balance model outputs over the period 1950-2005 compiled for NHDPlus version 2 data suite (NHDPlusv2) catchments. This dataset can be linked to the NHDPlusv2 by the unique identifier COMIDin the flowline shapefiles or FEATUREID in the catchment ones in the NHDPlusV2 data suite. The source data is CMIP5 MACAv2-METDATA Monthly Water Balance Model Projections 1950-2099 for the Contiguous United States (Alder & Hostetler, 2021). Variables summarized are: actual evapotranspiration, evapotranspiration deficit, potential evapotranspiration, runoff, snow water equivalent, and soil moisture storage. Six General Circulation Models (GCMs) are summarized for each variable: BNU-ESM, HadGEM2-ES365, inmcm4, MRI-CGCM3, MIROC ESM CHEM, and NorESM1-M. Summaries are provided for five regions corresponding to NHDPlus vector processing units (VPUs): VPU 02 (Mid-Atlantic), VPU 03w (South Atlantic West), VPU 04 (Great Lakes), VPU 14 (Upper Colorado), and VPU 17 (Pacific Northwest).

These datasets are continuous parameter grids (CPG) of annual mean daily maximum air temperature data for the years 2000 through 2016 in the Pacific Northwest. Source temperature data was produced by the PRISM Climate Group at Oregon State University.

These datasets are continuous parameter grids (CPG) of annual mean daily minimum air temperature data for the years 2000 through 2016 in the Pacific Northwest. Source temperature data was produced by the PRISM Climate Group at Oregon State University.

This data set represents monthly precipitation (in millimeters), and minimum and maximum temperature (in degrees Fahrenheit) over the period 1980-2023 compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlusV2 by the unique identifier COMID. Reach catchment information characterizes data at the local scale. Reach catchments are accumulated upstream through the river network using a modified routing database (Schwarz and Wieczorek, 2018) to navigate the NHDPlusV2 reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. The variables included are precipitation (gridMet_CAT_pr and gridMet_TOT_pr), minimum temperature (gridMet_CAT_tmmn and gridMet_TOT_tmmn), and maximum temperature (gridMet_CAT_tmmx and gridMet_TOT_tmmx) summarized from gridMET (Abatzoglou, 2011). Summaries are provided for five regions corresponding to NHDPlusV2 vector processing units (VPUs): VPU 02, VPU 03w, VPU 04, VPU 14, and VPU 17.

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 Precipitation and Evapotranspiration. The MACA data includes Penman PET which was estimated using Penman-Monteith methods. However, Thornthwaite PET was estimated using Thornthwaite methods for this project. For further details please see summary sheet. This template includes data for Penman MI as an example.

This archive contains daily downscaled meteorological and hydrological projections for the Columbia Basin in the United States at 1/16-deg resolution utilizing 9 different downscaling methods. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), precipitation amount(pr), downward shortwave solar radiation(rsds), wind speed(was), and specific humidity(huss). The downscaling is based on the CCSM3e model from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical 20C3M (1971-1999) and future SRESA2(2041-2070) scenarios. The downscaling methods include 3 statistical downscaling methods: Multivariate Adaptive Constructed Analogs (MACA) and monthly(and daily) Bias Correction Spatial Dissaggregation (mBCSD,dBCSD); 3 dynamical downscaling methods: interpolations of the outputs from North American Regional Climate Change Assessment Program(sdNARCCAP) regional downscaling utilizing 3 regional models: CRCM,MM5I and WRFG; and 3 hybrid downscaling methods: bias correction of interpolated outputs from NARCCAP regional downscaling using CRCM,MM5I and WRFG. All of the methods are used to downscale the entire suite of variables except for mBCSD (which is only used to downscale tmax/tmin/pr and these results are used with MTCLIM(Glassy et al., 1994) to generate rsds/was/huss). Each of the downscaling outputs are run through the Variable Infiltration Capacity (VIC) hydrologic model to generate the hydrological projections.