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Extreme Value Snow Water Equivalent and Snowmelt for Infrastructure Design over the Contiguous United States
  • Eunsang Cho,
  • Jennifer M Jacobs
Eunsang Cho
University of New Hampshire, University of New Hampshire

Corresponding Author:[email protected]

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Jennifer M Jacobs
University of New Hampshire, University of New Hampshire
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Abstract

Snowmelt-driven floods result in large societal and economic impacts on local communities including infrastructure failures in the U.S. However, the current U.S. government standard design precipitation maps are based on liquid precipitation data (e.g. National Oceanic and Atmospheric Administration’s Precipitation-Frequency Atlas 14; NOAA Atlas 14) with very limited guidance on snowmelt-driven floods. In this study, we developed 25- and 100-year return level design maps of snow water equivalent (SWE) and 1-day and 7-day snowmelt including precipitation events (e.g. rain-on-snow) using long-term observation-based gridded SWE developed by University of Arizona (UA) incorporating the national snow model product (SNOw Data Assimilation System; SNODAS) over the contiguous U.S. (CONUS). For the 44 U.S. states where the NOAA Atlas 14 maps are available, the design snowmelt values from this study exceed the standard design values in 23% of the total extent. The snowmelt values exceed the NOAA Atlas 14 design precipitation by up to 171 and 254 mm in the northeastern U.S.; 127 and 225 mm in the north-central U.S.; and 191 and 425 mm the western mountain U.S. for the 25- and 100-year return levels, respectively. A comparison of 7-day design snowmelt between with and without precipitation shows that including precipitation results in an average increase of 42 mm and 68 mm for 25- and 100-year return levels, respectively, over snowmelt that do not include precipitation. The design snowmelt maps from this study complement the NOAA Atlas 14 design precipitation and provide additional guidance on infrastructure design for snowmelt-driven floods in the CONUS.
Oct 2020Published in Water Resources Research volume 56 issue 10. 10.1029/2020WR028126