Abstract Species Distribution Models (SDMs) combine information on the geographic
occurrence of species with environmental layers to estimate distributional ranges and have …

While many studies comparing atmospheric reanalysis and surface observations have
focused on the similarity of mean fields, trends, or frequencies of extreme events, very few …

Rapid warming in the Arctic is driving permafrost thaw and lake area changes, with
implications for wildlife, subsistence living and climate feedbacks. Models suggest that initial …

Atmospheric reanalyses are a valuable climate-related resource where in situ data are
sparse. However, few studies have investigated the skill of reanalyses to represent extreme …

Probabilistic methods are useful to estimate the uncertainty in spatial meteorological fields
(eg, the uncertainty in spatial patterns of precipitation and temperature across large …

Assessment of Alaska Rain-on-Snow Events Using Dynamical Downscaling in: Journal of
Applied Meteorology and Climatology Volume 57 Issue 8 (2018) Jump to Content Jump to Main …

Arctic hydrology is experiencing rapid changes including earlier snow melt, permafrost
degradation, increasing active layer depth, and reduced river ice, all of which are expected …

Dynamical Downscaling of ERA-Interim Temperature and Precipitation for Alaska in:
Journal of Applied Meteorology and Climatology Volume 55 Issue 3 (2016) Jump to Content …

A comprehensive study of the Gulf of Alaska (GOA) drainage basin was carried out to
improve understanding of the coastal freshwater discharge (FWD) and glacier volume loss …

This review summarizes current understanding of drivers for change and of the impact of
accelerating global changes on mountains, encompassing effects of climate change and …