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    Defining Hazards 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 004:;page 659
    Author(s): Bertrand, Darrian; Shafer, Mark
    Publisher: American Meteorological Society
    Abstract: tate hazard mitigation plans guide state and local agencies in actions they may take to reduce their vulnerability to extreme events. However, because they are written for a general audience, they must be written in a way ...
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    Major Over- and Underestimation of Drought Found in NOAA’s Climate Divisional SPI Dataset 

    Source: Journal of Applied Meteorology and Climatology:;2020:;volume( 59 ):;issue: 009:;page 1469
    Author(s): Spade, Daniela;de Beurs, Kirsten;Shafer, Mark
    Publisher: American Meteorological Society
    Abstract: Evaluation of the standardized precipitation index (SPI) dataset published monthly in the National Oceanic and Atmospheric Administration/National Centers for Environmental Information (NOAA/NCEI) climate divisional database ...
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    Cloud-to-Ground Lightning throughout the Lifetime of a Severe Storm System in Oklahoma 

    Source: Monthly Weather Review:;2000:;volume( 128 ):;issue: 006:;page 1798
    Author(s): Shafer, Mark A.; MacGorman, Donald R.; Carr, Frederick H.
    Publisher: American Meteorological Society
    Abstract: Cloud-to-ground (CG) lightning data are examined relative to digitized radar data for a storm system that occurred in Oklahoma on 26 May 1985. This system evolved through three stages: 1) two lines of cells, one near the ...
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    Facilitating the Use of Drought Early Warning Information through Interactions with Agricultural Stakeholders 

    Source: Bulletin of the American Meteorological Society:;2014:;volume( 096 ):;issue: 007:;page 1073
    Author(s): Otkin, Jason A.; Shafer, Mark; Svoboda, Mark; Wardlow, Brian; Anderson, Martha C.; Hain, Christopher; Basara, Jeffrey
    Publisher: American Meteorological Society
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    Quality Assurance Procedures in the Oklahoma Mesonetwork 

    Source: Journal of Atmospheric and Oceanic Technology:;2000:;volume( 017 ):;issue: 004:;page 474
    Author(s): Shafer, Mark A.; Fiebrich, Christopher A.; Arndt, Derek S.; Fredrickson, Sherman E.; Hughes, Timothy W.
    Publisher: American Meteorological Society
    Abstract: High quality data sources are critical to scientists, engineers, and decision makers alike. The models that scientists develop and test with quality-assured data eventually become used by a wider community, from policy ...
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