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