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  • Rain on snow (ROS) events were derived from 20km dynamically downscaled ERA-Interim reanalysis and global climate model (GCM) climate projections data. The GCM data were from RCP 8.5 of GFDL-CM3 and NCAR-CCSM4. The amount of liquid precipitation for each day is provided in the database for each grid cell and was determined to be a ROS event by the temperature being at or near freezing and/or the presence of snow on the ground.

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    Southeast Alaska is a topographically complex region that is experiencing rapid rates of change with climate regimes that range from temperate rainforest to expansive glaciers and icefields. Global climate models – with a typical spatial resolution of 100 km – poorly resolve this area, while recent downscaling efforts have sought to improve upon existing deficiencies. This research produced hourly dynamically downscaled climate model simulations at 1- and 4-km spatial resolution for both historical (1981-2019) and future periods (2031-2060) across Southeast Alaska. Particular focus was placed on three key watersheds: 1) Montana Creek near Juneau, 2) Indian River near Sitka and 3) Staney Creek on Prince of Wales Island. The projected simulations were based on the representative concentration pathway 8.5 (RCP8.5) emissions scenario. The simulations included the historical Climate Forecast System Reanalysis, and two climate models (the Community Climate System Model, version 4 and the Geophysical Fluid Dynamics Laboratory Climate Model, version 3), which were both run for historical and future periods. All downscaling simulations were run using a 17-month spin-up period to sufficiently generate the land surface state and the lateral boundary conditions for each were updated every 6 hours to constrain the output. The downscaling was completed using the Weather and Research Forecasting Model, version 4.0.

  • 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.