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Stephanie McAfee

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These files include historical downscaled estimates of decadal average monthly snow-day fraction ("fs", units = percent probability from 1 – 100) for each month of the decades from 1900-1909 to 2000-2009 at 771 x 771 m spatial resolution. Each file represents a decadal average monthly mean. Version 1.0 was completed in 2015 Version 2.0 was completed in 2018 These snow-day fraction estimates were produced by applying equations relating decadal average monthly temperature to snow-day fraction to downscaled decadal average monthly temperature. Separate equations were used to model the relationship between decadal monthly average temperature and the fraction of wet days with snow for seven geographic regions in the...
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These files include downscaled historical decadal average monthly snowfall equivalent ("SWE", in millimeters) for each month at 771 x 771 m spatial resolution. Each file represents a decadal average monthly mean. Historical data for 1910-1919 to 1990-1999 are available for CRU TS3.0-based data and for 1910-1919 to 2000-2009 for CRU TS3.1-based data Snow-fall equivalent estimates were produced by multiplying snow-day fraction ("fs") by decadal average monthly precipitation ("Pr"). (fs*Pr)/100 Snow-day fraction data used can be found here: http://ckan.snap.uaf.edu/dataset/historical-decadal-averages-of-monthly-snow-day-fraction-771m-cru-ts3-0-3-1 Precipitation data used can be found here: http://ckan.snap.uaf.edu/dataset/historical-monthly-and-derived-precipitation-products-771m-cr...
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Projecting Future Wildfire Activity in Alaska’s Boreal Forest
Wildfires are a natural occurrence in interior Alaska’s boreal forest. There is extreme variability in the severity of the wildfire season in this region. A single year in which more than one million acres of forest burns can be followed by several years of low to moderate fire activity. In addition, fires in high latitude zones appear to be responding to changes in climate. Warmer temperatures rapidly cure understory fuels, such as fast-drying beds of mosses, lichens, and shrubs, which lie beneath highly flammable conifer trees. Managing such variability is challenging in light of both changing climate conditions and the fact that planning activities require sufficient advance warning. The goal of this project...
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Learning From Recent Snow Droughts to Improve Forecasting of Water Availability for People and Forests
In the dry southwestern United States, snowmelt plays a crucial role as a water source for people, vegetation, and wildlife. However, snow droughts significantly lower snow accumulations, disrupting these critical water supplies for local communities and ecosystems. Despite its large influence on land- and water-resource management, snow drought has only recently been properly defined and its historical distribution and effects on key natural resources are essentially unknown. To remedy this serious knowledge gap, project researchers are examining the causes, effects, and forecastability of snow drought to provide needed scientific information and guidance to planners and decision makers. The central goals of...
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Characterizing Variability in the Drivers of Extreme Climate Events in Alaska
In Alaska, extreme climate events such as very warm days, very cold days, and intense storms can have a range of impacts, from damaging infrastructure to disrupting the tourism economy. For example, in 2013, a colder than normal spring led to late ice break-up and rapid thaw, causing massive flooding along the Yukon River that displaced roughly 500 residents in a single town. Meanwhile, in Denali, cold May temperatures delayed openings for some tourist-related businesses. Previous work has identified which atmospheric circulation patterns are associated with extreme events, information which can help refine forecasts and downscale future climate projections. The goal of this project is to test whether these patterns...
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