Parts of southeast Alaska experienced record drought in 2019, followed by record daily precipitation in late 2020 with substantial impacts to human health and safety, energy resources, and fisheries. To help ascertain whether these types of events can be expected more frequently, this study investigated observed trends and projected changes of hydrocli-matic extremes indices across southeast Alaska, including measures of precipitation variability, seasonality, magnitude, and type. Observations indicated mixed tendencies of interannual precipitation variability, but there were consistent trends to-ward warmer and wetter conditions. Projected changes were assessed using dynamically downscaled climate model simulations at 4-km spatial resolution from 2031 to 2060 that were compared with a historical period from 1981 to 2010 using two models}NCAR CCSM4 and GFDL CM3. Consistent directional changes were found for five of the analyzed indices. The CCSM indicated increased maximum 1-day precipitation (RX1; 12.6%), increased maximum consecutive 5-day precipitation (RX5; 7.4%), longer periods of consecutive dry days (CDD; 11.9%), fewer snow cover days (SNC; 221.4%) and lower snow fraction (SNF; 224.4%); for GFDL these changes were 19.8% for RX1, 16.0% for RX5, 20.1% for CDD, 221.9% for SNC, and 226.5% for SNF. Although both models indicated substantial snow losses, they also projected annual snowfall increases at high elevations; this occurred above 1500 m for CCSM and above 2500 m for GFDL. Significance testing was assessed at the 95% confidence level using Theil–Sen’s slope estimates for the observed time series and the Wilcoxon–Mann–Whitney U test for projected changes of the hydroclimatic extremes indices relative to their historical distributions.
CITATION STYLE
Lader, R., Bhatt, U. S., Walsh, J. E., & Bieniek, P. A. (2022). Projections of Hydroclimatic Extremes in Southeast Alaska under the RCP8.5 Scenario. Earth Interactions, 26(1), 180–194. https://doi.org/10.1175/EI-D-21-0023.1
Mendeley helps you to discover research relevant for your work.