2610188c-aa38-4f47-8987-b36ec72cdd0d Scenarios Network for Alaska and Arctic Planning uaf-snap-data-tools@alaska.edu 2023-10-12T11:43:26 ISO 19115:2003/19139 1.0 3 0 0 EPSG:3338 Alaska VIC Hydrologic Model Output (1950-2099): Decadal Averages of Monthly Summaries 2023-10-11 1.0 This dataset includes 42,120 GeoTIFFs (spatial resolution: 12 km) that represent decadal (15 decades between 1950-2099) means of monthly summaries of the following variables (units, abbreviations and case match those used in the source daily resolution dataset). There are three distinct groups of variables: Meteorological, Water State, and Water Flux. Meteorological Variables - tmax (Maximum daily 2-m air temperature, °C) - tmin (Minimum daily 2-m air temperature, °C) - pcp (Daily precipitation, mm per day) Water State Variables - SWE (Snow water equivalent, mm) - IWE (Ice water equivalent, mm) - SM1 (Soil moisture layer 1: surface to 0.02 m depth, mm) - SM2 (Soil moisture layer 2: 0.02 m to 0.97 m depth, mm) - SM3 (Soil moisture layer 3: 0.97 m to 3.0 m depth, mm) Water Flux Variables - RUNOFF (Surface runoff, mm per day) - EVAP (Actual evapotranspiration, mm per day) - SNOW_MELT (Snow melt, mm per day) - GLACIER_MELT (Ice melt, mm per day) Monthly summary functions, or how the daily frequency source data are condensed into a single monthly value, are as follows: - Sum: pcp, SNOW_MELT, EVAP, GLACIER_MELT, RUNOFF - Mean: tmin, tmax, SM1, SM2, SM3 - Maximum: IWE, SWE The model-scenario combinations used to represent various plausible climate futures are: - ACCESS1-3, RCP 4.5 - ACCESS1-3, RCP 8.5 - CanESM2, RCP 4.5 - CanESM2, RCP 8.5 - CCSM4, RCP 4.5 - CCSM4, RCP 8.5 - CSIRO-Mk3-6-0, RCP 4.5 - CSIRO-Mk3-6-0, RCP 8.5 - GFDL-ESM2M, RCP 4.5 - GFDL-ESM2M, RCP 8.5 - HadGEM2-ES, RCP 4.5 - HadGEM2-ES, RCP 8.5 - inmcm4, RCP 4.5 - inmcm4, RCP 8.5 - MIROC5, RCP 4.5 - MIROC5, RCP 8.5 - MPI-ESM-MR, RCP 4.5 - MPI-ESM-MR, RCP 8.5 - MRI-CGCM3, RCP 4.5 - MRI-CGCM3, RCP 8.5 The .zip files that are available for download are organized by variable. One .zip file has all the models and scenarios and decades and months for that variable. Each GeoTIFF file has a naming convention like this: {climate variable}_{units}_{model}_{scenario}_{month abbreviation}_{summary function}_{decade start}-{decade end}_mean.tif Each GeoTIFF has a 12 km by 12 km pixel size, and is projected to EPSG:3338 (Alaska Albers). Jeremy Littell Scenarios Network for Alaska and Arctic Planning uaf-snap-data-tools@alaska.edu https://catalog.snap.uaf.edu/geonetwork/srv/api/records/2610188c-aa38-4f47-8987-b36ec72cdd0d/attachments/VIC_hydro_2050_2059_MRI-CGCM3_rcp85_preview.png CMIP5 modeled hydrology projected historical https://creativecommons.org/licenses/by/4.0/ 12 eng climatologyMeteorologyAtmosphere -178.20 -130.00 51.20 71.40 1950-01-01 2099-12-31 GeoTIFF 1.0 http://data.snap.uaf.edu/data/Base/AK_12km/vic_hydro/ WWW:LINK-1.0-http--link Alaska VIC Hydrologic Model Output (1950-2099): Decadal Averages of Monthly Summaries Folder containing all data that is part of this data package. https://doi.org/10.1016/j.cliser.2022.100312 WWW:LINK-1.0-http--link New projections of 21st century climate and hydrology for Alaska and Hawaii Publication https://doi.org/10.5065/c3kn-2y77 WWW:LINK-1.0-http--link Mizukami, N., A. J. Newman, A. W. Wood, E. D. Gutmann, and J. J. Hamman, 2022: 21st century hydrologic projections for Alaska and Hawaii. Boulder, CO: UCAR/NCAR/RAL. Source Dataset