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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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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 • Data OverVIEW/Details • Overtime Expenditures • Weather Events • Employed GIS Techniques • Interactive Geospatially/Time-enabled Web Displays • Future Plans?
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 Year, by NWS CONUS Region)
Fiscal Year 2009-12 NWS Overtime Hours(All FMCs, by Month, by NWS CONUS Region)
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
Fiscal Year 2009-12 NWS Overtime Hours(WFOs, by Month, by NWS CONUS Region)
Fiscal Year 2009-12 NWS Overtime Hours(RHQ, by Month, by NWS CONUS Region)
Fiscal Year 2009-12 NWS Overtime Hours(All FMCs, by Year, by NWS CONUS Region)
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
Historical Tornadoes and Tracks Overlainwith Time-matched NWS Overtime Values
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 • 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)