University of Alaska Fairbanks
  |  Alaska Climate Adaptation Science Center

Data

Data sources and academic references

Use this page to access the datasets that are presented via this tool, including metadata and academic papers about these datasets.

Type Resolution Source + academic reference
Elevation 30 m

Derived from the ASTER GDEM 30–meter digital elevation product. Point data are averaged across a 1km square. Area data are averaged across the entire area.

NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003 [Data set]. NASA EOSDIS Land Processes Distributed Active Archive Center. Accessed 2023-09-08 from https://doi.org/10.5067/ASTER/ASTGTM.003
Hydrology 12 km

Alaska VIC Hydrologic Model Output (1950-2099): Decadal Averages of Monthly Summaries

21st Century Hydrologic Projections for Alaska and Hawai‘i, Mizukami, N., Newman, A. J., Wood, A. W., Gutmann, E. D., and Hamman, J. J. (2022). Boulder, CO: UCAR/NCAR/RAL. https://doi.org/10.5065/c3kn-2y77
Mizukami, N., Newman, A. J., Littell, J. S., Giambelluca, T. W., Wood, A. W., Gutmann, E. D., Hamman, J. J., Gergel, D. R., Nijsenn, B., Clark, M. P., and Arnold, J. R. (2022). New projections of 21st century climate and hydrology for Alaska and Hawaiʻi. Climate Services, 27, 100312. https://doi.org/10.1016/j.cliser.2022.100312
Indicators (temperature & precipitation) 12 km

Historical and projected climate indicators for Alaska at 12km

Indicators were derived from this data product:

Mizukami, N., Newman, A. J., Wood, A. W., Gutmann, E. D., and Hamman, J. J. (2022). Boulder, CO: UCAR/NCAR/RAL. https://doi.org/10.5065/c3kn-2y77
Precipitation (monthly and derived) 2 km

Historical - 2km CRU TS 4.0
Projected - 2km CMIP5/AR5

Walsh J.E., Bhatt U.S., Littell J. S., Leonawicz M., Lindgren M., Kurkowski T. A., Bieniek P. A., Gray S., & Rupp T. S. (2018). Downscaling of climate model output for Alaskan stakeholders, Environmental Modelling & Software, 110, 38–51. DOI 10.1016/j.envsoft.2018.03.021
Permafrost 1 km

GIPL Model 2.0, from the Geophysical Institute Permafrost Laboratory at the University of Alaska Fairbanks

Marchenko, S., Romanovsky, V., & Tipenko, G. (2008). Numerical modeling of spatial permafrost dynamics in Alaska. Ninth International Conference on Permafrost, Online Proceedings, Volume 2, 1125–1130. Accessed 2023-09-08 from https://www.permafrost.org/event/icop9/
Spruce Beetle Risk 12 km

Historical and projected climatic protection of spruce beetle infestation in Alaska

Fresco, N., Littell, J., Redilla, K., Moan, J., & Brannoch, S. (in prep). Modeling the loss of climate protection from spruce beetles (Dendroctonus rufipennis) under changing conditions in Alaska’s forests. [submission anticipated November 2023]

Underlying climataloglical data provided by:

Mizukami, N., Newman, A. J., Wood, A. W., Gutmann, E. D., and Hamman, J. J. (2022). Boulder, CO: UCAR/NCAR/RAL. https://doi.org/10.5065/c3kn-2y77
Temperature (monthly and derived) 2 km

Historical - 2km CRU TS 4.0
Projected - 2km CMIP5/AR5

Walsh J.E., Bhatt U.S., Littell J. S., Leonawicz M., Lindgren M., Kurkowski T. A., Bieniek P. A., Gray S., & Rupp T. S. (2018). Downscaling of climate model output for Alaskan stakeholders, Environmental Modelling & Software, 110, 38–51. DOI 10.1016/j.envsoft.2018.03.021
Wildfire (flammability) 1 km

ALFRESCO Model Outputs - Relative Flammability

Johnstone, J. F., Rupp, T. S., Olson, M. & Verbyla, D. (2011). Modeling impacts of fire severity on successional trajectories and future fire behavior in Alaskan boreal forests. Landscape Ecology, 26, 487–500. https://doi.org/10.1007/s10980-011-9574-6
Wildfire (vegetation type mode and percentage) 1 km

ALFRESCO Model Outputs - Vegetation Type

Johnstone, J. F., Rupp, T. S., Olson, M. & Verbyla, D. (2011). Modeling impacts of fire severity on successional trajectories and future fire behavior in Alaskan boreal forests. Landscape Ecology, 26, 487–500. https://doi.org/10.1007/s10980-011-9574-6

License

Unless otherwise specified by source providers, all data available through this tool is available through the Creative Commons Attribution 4.0 International (CC by 4.0).

Data API access

All the data used in this web tool may be accessed directly via an API. Documentation, examples, and links to source datasets are provided on the API site.

Visit the Data API