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Jack Settelmaier, NOAA/NWS/SRHQ/Digital Techniques Meteorologist

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Using Geographic Information System Tools to Explore the Relationships Between NWS Overtime Expenditures and Severe Weather Occurrences. Jack Settelmaier, NOAA/NWS/SRHQ/Digital Techniques Meteorologist Mark Hunter, NOAA/NWS/SRHQ, Chief, Administrative Management Division

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Presentation Transcript
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Using Geographic Information System Tools to Explore the Relationships Between NWS Overtime Expenditures and Severe Weather Occurrences

Jack Settelmaier, NOAA/NWS/SRHQ/Digital Techniques Meteorologist

Mark Hunter, NOAA/NWS/SRHQ, Chief, Administrative Management Division

AMS Conference 2013, Austin, TX

outline
Outline
  • Data OverVIEW/Details
    • Overtime Expenditures
    • Weather Events
  • Employed GIS Techniques
  • Interactive Geospatially/Time-enabled Web Displays
  • Future Plans?
nws overtime data overview details
NWS Overtime Data OverVIEW/Details
  • Fiscal Years 2009 through 2012
  • Available by NWS Regions, Office Types (RFC, WFO, RHQ, etc.)
  • Available by 2-week pay periods
  • Units are Overtime Hours
fiscal year 2009 12 nws overtime hours all fmcs by month by nws conus region1
Fiscal Year 2009-12 NWS Overtime Hours(All FMCs, by Month, by NWS CONUS Region)

Tuscaloosa Tornado

Tornado Events

Red River North Flooding

Hurricane Irene

nws severe weather event data overview details
NWS Severe Weather Event Data OverVIEW/Details
  • What is Severe Weather?
  • by events, by deaths, by $$ impact, by Tornadoes, by Tropical Storms
average annual of tornadoes per conus state 81 10 courtesy of spc s greg carbin
Average Annual # of Tornadoes per CONUS State (‘81-’10)Courtesy of SPC’s Greg Carbin
methodology 2 arcgis
Methodology #2 (ArcGIS)
  • ArcGIS
    • Grab NWS WWA and per-county 2010 Census population shapefiles
    • Extract per State, Summarize, County count
  • Export image(s)
successes future plans
Successes/Future Plans
  • Quick and easy turnaround
  • Convey impact information through numerous, diverse communications channels
  • Opportunity to experiment with tools/technology
  • Can be used for any future rapidly-evolving event (e.g. Winter, USDM examples)
  • Can convey impacts at multiple spatiotemporal scales
  • Linkage between short-term weather (heat) and long-term climate (drought)
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