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PROJECT REVIEW

Learn how the IEM-KCCI-NWS partnership saved lives and boosted weather data distribution by installing 45 SchoolNet weather stations since 2000. Generating over 500,000 internet views monthly, this project increased community awareness and preparedness. IEM's data services offer real-time processing, monitoring gusts, and rainfall, improving NWS data accuracy and education. Explore GIS applications, precipitation analysis, and future projects aimed at enhancing meteorological services. Join the advancement in weather data distribution today!

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PROJECT REVIEW

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  1. The IEM-KCCI-NWS Partnership: Working Together to Save Lives and Increase Weather Data Distribution

  2. PROJECT REVIEW • KCCI-TV INSTALLED 45 SCHOOLNET WEATHER STATIONS BEGINNING DECEMBER OF 2000 TO PRESENT • EACH STATION REPORTS CONTINOUSLY VIA THE INTERNET. • GENERATING MORE THAN 500,000 INTERNET PAGE VIEWS EACH MONTH • INCREASED KCCI-TV IDENTITY IN RURAL COMMUNITIES.

  3. ON-AIR AWARDS

  4. STUDENT INVOLVEMENT

  5. EXPLAINING THE SENSORS

  6. MEDIA COVERAGE

  7. MEDIA COVERAGE

  8. ON-AIR DISPLAY

  9. STATION PLOT

  10. REALTIME RAINFALL AND BARON RADAR HYDRO

  11. Now What? • Too Much Data too watch at once! • Have to relay information to NWS via radio. • Daily notification of schools for outages. • Then along came the Iowa Environmental Mesonet

  12. Iowa Environmental Mesonet • Gather, collect, compare, disseminate and archive Iowa data. • Currently gathering data from 9 networks, including KCCI’s • Archive holds over 250 million observations made in the state.

  13. SchoolNet value added data • Real Time data processing • Monitor for 50+ MPH gusts and measurable rainfall • Implement a 1 minute wind averaging scheme • Calculate rainfall accumulations

  14. IEM Data Services • Archive EVERY observation • Convert ASCII data feed into METAR and other formats • Build unique web applications • Quality Control

  15. Data use

  16. Data users

  17. Data networks

  18. ISUAg Climate

  19. Storm LakeRWIS

  20. ShenandoahAWOS

  21. Data inventory

  22. Data storage • NEXRAD Radar 100 MB/day (9 sites) • Products/plots 2 MB/day • GEMPAK surface data 8 MB/day • Raw surface data 12 MB/day • Daily Total 122 MB/day

  23. Improved NWS Data, Service and Education IEM NWS KCCI - TV

  24. Working Together to Save Lives!

  25. NWS Data & Operations

  26. Upper Air Data

  27. Satellite Imagery

  28. Imagery and Observations

  29. GIS in the NWS

  30. GIS in the NWS

  31. GISClimatology Snowfall Rainfall Temperature Wind Severe Weather Flooding Climate Atlas

  32. GIS in Warning Decisions

  33. GIS in Warning Decisions GIS Data used by warning meteorologists • Detailed road networks • Urban area mapping • Detailed rivers and basin data In the future • Significant landmarks • Polygon warnings

  34. GIS in Hydrology • Precipitation Analysis • Local flood modeling • Basin Delineation • Hydro-climatology • AHPS mapping

  35. Precipitation Analysis

  36. Precipitation Analysis

  37. Future NWS Projects • All hazards climatology for Iowa • Basin Customization • Developing improved Flash Flood Guidance

  38. IEM GIS Efforts • Why? • ‘Traditional’ WWW is good, but not the answer. • How? • OpenSource software, open standards, OpenGIS. • When? • Needs to be done yesterday.

  39. IEM GIS Thrusts • Web-mapping with MapServer • WMS client/server, WFS client/server • Spatial Database storage with PostGIS • Support geographic objects in PostgreSQL • Formatting spatial data formats • Shapefile, netCDF, Georeferenced Images • GIS Education

  40. #1: Spatial Precip Viewer • NEXRAD Storm Total (STP) and one hour precip (N1P) products are gridded, plotted and geo-referenced. • Surface precip observations are ingested and placed in the spatial database. • Great way to qualitatively compare NEXRAD estimates with “ground-truth”

  41. WebInterface

  42. #2: Iowa Tornado Database • The tornado database was the first step in putting together an “All Hazards” database for Iowa. • Compiled by Chris Anderson at ISU • Entries are placed in a spatial database and queried out by MapServer. • We look to expand the meta-data held in this system. (News clippings, stories…)

  43. Iowa Tornado Database Interface

  44. #3: NWS Warnings with National RADAR • Geo-reference a national RADAR mosaic • Wrote a text to spatial database decoder for the SVR and TOR products. Polygon and county based warnings are saved. • Combine these data sources with MapServer

  45. Example

  46. #4: 3-4 June 2002 Flooding • Heavy rainfall event in Eastern Iowa. Localized flooding. • Geo-referenced NEXRAD Storm Totals. • Included surface observations • Used by Iowa Emergency managers as a baseline to identify locations that may have experienced flooding.

  47. Example Image

  48. #5 PHP MapScript Example • Dynamically generate a variable plot based on user selected stations.

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