7825535c-edff-4a82-89f3-9183e6cb2b42 Scenarios Network for Alaska and Arctic Planning uaf-snap-data-tools@alaska.edu 2023-10-26T12:27:57 ISO 19115:2003/19139 1.0 3 8760 1 262 20000 262 20000 WRF Polar Stereographic -- see file metadata Historical and Projected Dynamically Downscaled Climate Data for the State of Alaska and surrounding regions at 20km spatial resolution and hourly temporal resolution (v1.1, August 2023) 2019-01-10T05:00:00 1.0 This dataset contains historical and projected dynamically downscaled climate data for the State of Alaska and surrounding regions at 20km spatial resolution and hourly temporal resolution. Select variables are also summarized into daily resolutions. This data was produced using the Weather Research and Forecasting (WRF) model (Version 3.5). We downscaled both ERA-Interim historical reanalysis data (1979 - Oct 2015) and both historical and projected runs from 2 GCM’s from the Coupled Model Inter-comparison Project 5 (CMIP5): GFDL-CM3 and NCAR-CCSM4 (historical run: 1970-2005 and RCP 8.5: 2006-2100). This dataset was updated to a version 1.1 in August, 2023 to retain useful fields of latitude and longitude geolocation grids from the WRF model. The original version is available upon request. Climate assessments and analysis of potential futures across an array of models and scenarios that perform the best over Alaska and Western Canada. Peter Bieniek Alaska Climate Adaptation Science Center Michael Lindgren Kyle Redilla Scenarios Network for Alaska and Arctic Planning uaf-snap-data-tools@alaska.edu CMIP5 WRF projected historical modeled 20 eng climatologyMeteorologyAtmosphere 1970-01-02 2100-12-31 -238.00 -66.00 37.00 88.00 Note, this data is not bias-corrected. It can be considered synonymous with utilizing raw CMIP5 output but at higher spatial and temporal resolutions. If a direct application to real-world situations is needed, bias correction should be an essential first step in your analysis. Data are provided as NetCDF files closely following Climate and Forecasting (CF) metadata conventions, but may not be fully compliant. It is output on a 20x20km grid in a WRF-derived polar stereographic projection system at an hourly time-step. Some outputs have also been further aggregated to daily timesteps. **Variables include:** Variable | Description ACSNOW | Water equivalent of accum. snow depth ALBEDO | Albedo CANWAT | Plant canopy surface water CLDFRA | Total cloud cover CLDFRA_HIGH | High level cloud cover CLDFRA_LOW | Low level cloud cover CLDFRA_MID | Mid level cloud cover GHT | Geopotential height HFX | Sensible heat flux LH | Latent heat flux LWDNB | Downward long wave flux LWDNBC | Clear sky downward long wave flux LWUPB | Upward long wave flux LWUPBC | Clear sky upward long wave flux OMEGA | Pressure vertical velocity PCPC | Accumulated total precipitation PCPNC | Accumulated large-scale precipitation PCPT | Total precipitation POTEVP | Accumulated potential evaporation PSFC | Surface pressure Q2 | Specific humidity at 2m height QBOT | Specific humidity at lowest model level QVAPOR | Specific humidity SEAICE | Ice concentration SH2O | Liquid volumetric soil moisture (non-frozen) SLP | Mean sea level pressure (ETA model) SMOIS | Volumetric soil moisture content SNOW | Snow water equivalent SNOWC | Snow cover SNOWH | Snow depth SWDNB | Downward short wave flux SWDNBC | Clear sky downward solar flux SWUPB | Upward short wave flux SWUPBC | Clear sky upward solar flux T | Temperature T2 | Temperature at 2m height TBOT | Temperature at lowest model level TSK | Surface skin temperature TSLB | Soil temperature U | u-component of wind U10 | u-component of wind at 10m height UBOT | u-component of wind at lowest model level V | v-component of wind V10 | v-component of wind at 10m height VBOT | v-component of wind at lowest model level VEGFRA | Vegetation fraction **Daily summaries:** pcpt | precip q2 |specific humidity at 2m height t2min | temperature min t2 | temperature mean t2max | temperature max **References:** WRF model (Version 3.5) http://www2.mmm.ucar.edu/wrf/users/wrfv3.5/updates-3.5.1.html Bieniek, P. A., Bhatt, U. S., Walsh, J. E., Rupp, T. S., Zhang, J., Krieger, J. R., and Lader, R. 2016: Dynamical downscaling of ERA-Interim temperature and precipitation for Alaska. Journal of Applied Meteorology and Climatology, 55(3), 635-654. https://journals.ametsoc.org/doi/abs/10.1175/JAMC-D-15-0153.1 Lader, R., U. S. Bhatt, J. E. Walsh, T. S. Rupp, and P. A. Bieniek, 2016: 2-m temperature and precipitation from atmospheric reanalysis evaluated for Alaska. J Appl Meteor Climatol, 55, 901-922. https://journals.ametsoc.org/doi/abs/10.1175/JAMC-D-15-0162.1 Bieniek, P.A., U.S. Bhatt, J.E. Walsh, R. Lader, B. Griffith, J.K. Roach, and R.L. Thoman, 2018: Assessment of Alaska Rain-on-Snow Events Using Dynamical Downscaling.J. Appl. Meteor. Climatol., 57, 1847–1863, https://doi.org/10.1175/JAMC-D-17-0276.1 https://journals.ametsoc.org/doi/10.1175/JAMC-D-17-0276.1 Lader, R., J.E. Walsh, U.S. Bhatt, and P.A. Bieniek, 2017: Projections of Twenty-First-Century Climate Extremes for Alaska via Dynamical Downscaling and Quantile Mapping. J. Appl. Meteor. Climatol., 56, 2393–2409, https://doi.org/10.1175/JAMC-D-16-0415.1 https://journals.ametsoc.org/doi/10.1175/JAMC-D-16-0415.1 NetCDF 4 http://wrf-ak-ar5.s3-website-us-east-1.amazonaws.com/ WWW:LINK-1.0-http--link Historical and Projected Dynamically Downscaled Climate Data for the State of Alaska and surrounding regions at 20km spatial resolution and hourly temporal resolution URL to web-accessible folder containing downloads for this data set. https://registry.opendata.aws/wrf-alaska-snap/ WWW:LINK-1.0-http--link AWS OpenData Registry AWS OpenData Registry entry for this dataset. https://doi.org/10.1175/JAMC-D-15-0153.1 WWW:LINK-1.0-http--link Dynamical Downscaling of ERA-Interim Temperature and Precipitation for Alaska Link to journal article associated with release of this dataset These data represent the highest quality climate projections for Alaska and Western Canada. They are updated to improve quality as issues are discovered.