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Michael L Marston

Biographic Data

ID1340795
NAMEMichael L Marston
GIVEN NAMESMichael L
FAMILY NAMEMarston
SIGNATUREMARSTON M L
AFFILIATIONSVirginia Tech
ORCID0000-0003-4839-7118
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Estimating Pluvial Depth–Damage Functions for Areas within the United States Using Historical Claims Data

    Open Access•Jeremy R Porter, Michael L Marston et al.•ARTICLE•Natural Hazards Review•2023

    Flooding has been the most costly natural disaster over the last 2 decades within the US. Therefore, recent research has focused on more accurately predicting economic losses from flooding to aid decision makers and mitigate economic exposure. For this, depth–damage functions have commonly been employed to predict the relative or absolute damage to buildings caused by different magnitudes of flooding. Although depth–damage functions, such as thos…

  • Changes in the Frequency of Cool Season Lake Effects within the North American Great Lakes Region

    Andrew W Ellis, Michael L Marston et al.•ARTICLE•Annals of the American…•2021•References: 34

    The North American Great Lakes influence surface weather downwind, distinctly in winter when southward migrating cold air passes over relatively warm lakes. Study of the synoptic atmospheric patterns favorable for lake effects has focused on lake-effect snowfall, the most impactful effect of the lakes. Although the patterns are conducive to lake effects, they might not actually yield discernible modification of downwind surface weather. This stud…

  • Delineating Precipitation Regions of the Contiguous United States from Cluster Analyzed Gridded Data

    Michael L Marston, Andrew W Ellis•ARTICLE•Annals of the American…•2020•References: 28

    Spatially homogenous precipitation regions were delineated for the contiguous United States using a gridded data set of daily precipitation. Seasonal means (1981–2010) of four variables, together characterizing seasonal precipitation, were computed and subjected to a principal component analysis (PCA). PCA reduced the original 30,665 grid cells by sixteen precipitation variables (four variables, four seasons) in the data set. The standardized sco…

No prominent works on this page.

  • Delineating Precipitation Regions of the Contiguous United States from Cluster Analyzed Gridded Data

    Michael L Marston, Andrew W Ellis•ARTICLE•Annals of the American…•2020•References: 28

    Spatially homogenous precipitation regions were delineated for the contiguous United States using a gridded data set of daily precipitation. Seasonal means (1981–2010) of four variables, together characterizing seasonal precipitation, were computed and subjected to a principal component analysis (PCA). PCA reduced the original 30,665 grid cells by sixteen precipitation variables (four variables, four seasons) in the data set. The standardized sco…

  • Changes in the Frequency of Cool Season Lake Effects within the North American Great Lakes Region

    Andrew W Ellis, Michael L Marston et al.•ARTICLE•Annals of the American…•2021•References: 34

    The North American Great Lakes influence surface weather downwind, distinctly in winter when southward migrating cold air passes over relatively warm lakes. Study of the synoptic atmospheric patterns favorable for lake effects has focused on lake-effect snowfall, the most impactful effect of the lakes. Although the patterns are conducive to lake effects, they might not actually yield discernible modification of downwind surface weather. This stud…

  • Estimating Pluvial Depth–Damage Functions for Areas within the United States Using Historical Claims Data

    Open Access•Jeremy R Porter, Michael L Marston et al.•ARTICLE•Natural Hazards Review•2023

    Flooding has been the most costly natural disaster over the last 2 decades within the US. Therefore, recent research has focused on more accurately predicting economic losses from flooding to aid decision makers and mitigate economic exposure. For this, depth–damage functions have commonly been employed to predict the relative or absolute damage to buildings caused by different magnitudes of flooding. Although depth–damage functions, such as thos…

Environmental Science (3 works) · Geography (3 works) · Geology (3 works) · Meteorology (3 works) · Climate variability and models (2 works) · Climatology (2 works) · Hydrology and Drought Analysis (2 works) · Precipitation (2 works) · Civil engineering (1 work) · Climate change impacts on agriculture (1 work)

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