aim high…fly, fight, win 14 ws operations / data use mr. randall haeberle data quality team lead

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  • Slide 1
  • Aim HighFly, Fight, Win 14 WS Operations / Data Use Mr. Randall Haeberle Data Quality Team Lead
  • Slide 2
  • Aim HighFly, Fight, Win Vision & Mission 2 VISION Provider of unparalleled earth decision- enabling products, allowing command authorities to anticipate and simulate environmental impacts on aspects of military operations worldwide MISSION Rapidly disseminate customized applied climatological and historical weather information to maximize combat effectiveness of DoD personnel and weapon systems, through expert receipt, quality control, storage, and tailoring of earth environmental data
  • Slide 3
  • Aim HighFly, Fight, Win 14WS Products Whatever decision-makers in the DoD request, we will try to accommodate as best we can We will also try to anticipate needs We constantly seek out new ways to improve old products Typical products include: Standard climo: available on 14WS website with instant access for established locations Forecast tools: short range and long range products Tailored climo: customer driven, specific data requests Can be reoccurring or one-time deals Modeled data: web-based, very course resolution (for now) Data used is operationally sound Limited levels of QC: Very bad data is removed, but minor errors get through
  • Slide 4
  • Aim HighFly, Fight, Win Standard Products Standard Products: wind roses, dust trends, engineering weather, summaries, CCTAP, visibility restrictions, modcurves, WSCC, lightning, LRF Characterize point data in terms of historical occurrence Spatially-based graphical climo in development Expands climo availability Interactive
  • Slide 5
  • Aim HighFly, Fight, Win Tailored Products Tailored Products: Examples: dust trends (reoccurring), temperature bulls-eyes, determining the optimal site for stationing a certain plane, June 23 rd 2011 wind data Utilize arcGIS, Excel, SQL/SAS Focus mostly on unstable regions of globe Regions usually have limited climo data Can include upper air, lightning, aircraft obs, surface, GFS, analyzed Can be broken down by anomalous events (i.e. ENSO years) Turn time typically 1-3 days (can be more for very large requests)
  • Slide 6
  • Aim HighFly, Fight, Win Sources Used in Products Most data kept in Oracle database, other data as flat files, tapes, cds In Situ (our #1 source and focus) Upper air Surface (includes ship and mobile obs) Actual obs Summarized data (GHCN) Spatial/analysis/gridded/forecast data CFSR (state of the art reanalysis data) Legates, GPCP, LIS--Land Information System (AGRMET) GFS Climate Forecast Models (used by LRF; data not stored in our database) Lightning Mainly US Space launch tower data Other-we will find what we can for new regions of conflict
  • Slide 7
  • Aim HighFly, Fight, Win Quality Control of the Data Mostly on surface data Basic algorithms to capture egregiously bad data Good: Temperature, Dew Point, Pressures Okay: Winds, Present Weather (mainly precip type) Poor: Clouds, Visibility None: Precipitation totals*, Snowfall totals Many sites will get site specific statistical checks Most of these will get even more scrupulous QC applied Primed for addition to our authoritative JMCLIM database QC upon request (esp. for tailored products) Frequently apply sweeping fixes upon discovery
  • Slide 8
  • Aim HighFly, Fight, Win JMCLIM Database Our authoritative database of summarized climatology data Derived from surface obs, GHCN, summary of the day, other foreign precip/snow sources (as a last resort) Data is more reliable and raw data can be used for other products More QC and statistical processes flag/remove more questionable surface data used for products Database currently populated with ~1200 sites 800 good confidence, 300 medium confidence,