21st Century Hydrologic Projections for Alaska and Hawaii

d010111
| DOI: 10.5065/C3KN-2Y77
 
Abstract:

High resolution ensembles of hydroclimate projections are useful for climate and water resources adaptation planning and many of these datasets exist over United States focused domains specifically the Contiguous United States (CONUS). However, very few century-long, high-resolution hydroclimate projections exist over Alaska and Hawaii and no statewide projections including hydrology exist. This motivated us to develop a dataset consisting of multiple statistically downscaled climate model projections and corresponding off-line hydrologic model simulations to obtain hydrologic simulations from 1950 to 2099 over the two domains, which fills a critical gap in hydroclimate projection capabilities for these two under-served regions. We take an approach similar to previous CONUS hydrologic assessments where we: 1) select climate model outputs based on CMIP5 Representative Concentration Pathway 4.5 and 8.5; 2) perform statistical downscaling to generate high-resolution climate input data for hydrologic models (12-km grid-spacing for Alaska and 1-km for Hawaii); and 3) perform off-line hydrologic model simulations, using the Variable Infiltration Capacity (VIC) model. A notable difference in the hydrologic model configuration from CONUS to this case, is the use of full water-energy balance computation with a simple glacier model for Alaska. Overall, the simulations in Hawaii show large uncertainty in total runoff driven by large variability in precipitation among the GCMs used for this study. Robust warming and increases in precipitation produce runoff increases for most of Alaska. However, runoff is likely to decrease in current glacierized areas in southeast Alaska.

Variables:
Maximum/Minimum Temperature Precipitation Amount
Data Types:
Model Simulation
Data Contributors:
UCAR/NCAR/RAL
Research Application Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Total Volume:
1.08 TB (Entire dataset) Volume details by dataset product
Data Formats:
HDF5/NetCDF4
Metadata Record:
Data License:
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