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This tool is designed to provide streamlined access to climate data for Alaska and parts of Canada.

CMIP5 temperature and precipitation, from 5 high-performing models in the Arctic and three emissions scenarios (RCP4.5, 6.0 and 8.5).
Climate indicators derived from temperature and precipitation, such as wet days per year or deep winter days.
Hydrology and permafrost data, driven by CMIP5 model inputs
Vegetation change and flammability, driven by CMIP5 model inputs, that can explain changes in wildfire regime across the state
Protection from spruce beetles, driven by CMIP5 climate model inputs

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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
Demographics and Health	Borough/census tract(s), census-designated place (CDP), incorporated place	Derived from the 2020 U.S. Census Demographics and Housing Characteristics File (DHC), the 2018-2022 U.S. Census American Community Survey (ACS) 5-year dataset, the 2024 CDC PLACES dataset, and the 2017-2021 CDC Social Determinants of Health (SDOH) dataset. Citations: U.S. Census Bureau (2020). Demographics and Housing Characteristics File. Accessed November 2024, from https://www.census.gov/data/tables/2023/dec/2020-census-dhc.html U.S. Census Bureau (2021). 2018-2022 American Community Survey 5-year estimates. Accessed May 2024, from https://www.census.gov/programs-surveys/acs/data.html PLACES. Centers for Disease Control and Prevention. Accessed November 2024, from https://www.cdc.gov/places
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.

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