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USDA-WAOB GIS; International Applications, Uses, and Methods

Learn about the methods and applications of GIS data analysis in international agriculture and weather forecasting. Discover how GIS technology allows for efficient data integration, visualization, and analysis, saving time and effort. Explore case studies and examples of using GIS for crop analysis, soil moisture monitoring, drought detection, and more.

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USDA-WAOB GIS; International Applications, Uses, and Methods

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  1. USDA-WAOB GIS; International Applications, Uses, and Methods Eric Luebehusen Meteorologist November 17, 2010

  2. USDA Meteorologists rely heavily on GIS data to perform a variety of analyses for international AOR

  3. This talk will concentrate on methods and applications using data from NOAA…

  4. The flexibility of GIS allows for numerous data sources and global/regional views in one project, saving time and effort… and also makes “backing up” other analysts much easier

  5. Zoom ins not only allow for a closer view of details…

  6. … but country- or district-level crop data and/or shapefiles; Here, winter wheat from the Russian Agromet Office

  7. Within the project are macros written to extract Wx Data; This data is provided by CPC and stored in Oracle at USDA

  8. Flexibility is key; User-defined start and stop dates as well as data types

  9. WMO data via CPC; Stations are plotted with crop overlays

  10. Also, the time period need only be run once, with a suite of parameters now available for analysis

  11. Sfc analysis is created using “Natural Neighbor,” with bad station data omitted in a Definition Query prior to running the Spatial Analyst

  12. The output closely matches the CPC weekly maps, albeit a different color scheme

  13. The ability to jump from region to region is key

  14. The ability to jump from region to region is key

  15. Sometimes, the WMO data is not enough…

  16. CPC-supplied CMORPH geotiffs are also part of the daily downloads

  17. The data is downloaded using WGET, but Windows software serves as a backup (ie, Core FTP)

  18. DOS batch commands not only allow for date-coded archives, but for a duplicate renamed “Current.tif” which will dynamically update on open

  19. CPC-supplied RFE regional geotiffs are downloaded and archived; these too are summed using a macro

  20. The net result is a third source of pcp data for some int’l areas

  21. CPC supplies NOAH snow depth, which coupled with temperature data can provide a quick heads up with respect to winterkill

  22. CPC-supplies NOAH soil moisture for top 2 model layers; Color cutoffs/criteria developed by B Morris (via soil moisture course work)

  23. Here, the haves and have-nots in Australia stand out within the Wheat Areas (overlay developed by H Shannon)

  24. On a weekly basis, maps are produced that denote soil moisture change year-to-year and month-to-month, in percent

  25. NESDIS is supplying VHI geotiff data on a weekly basis, which has been very useful for drought detection and crop-stage departures.

  26. Year-to-year changes (in percent) are created for the VHI as well

  27. Global MODIS Hotspot data are downloaded daily to detect wildfires and seasonal burns

  28. CPC-Supplied GFS (00z) forecast data are used in the weekly and monthly (Lockup) presentations given to USDA Economists

  29. Needless to say, interests at the World Board are not solely international…

  30. The Drought Monitor: One development at USDA has been to use GIS for more than simply editing USDM Dx lines/Impacts, but for data assessment

  31. An “editor” is loaded with data, but points to the same shapefiles in the primary USDM project

  32. An “editor” is loaded with data, but points to the same shapefiles in the primary USDM project

  33. CPC-generated SPI data have been a boon to the USDM authoring process at USDA

  34. Data are downloaded (WGET), renamed (“Current.tif”), and archived

  35. This allows the author to easily zoom in for editing, and no need to worry about downloading data or “messing up” the main USDM project

  36. CPC 3-month SPI This allows the author to easily zoom in for editing, and no need to worry about downloading data or “messing up” the main USDM project

  37. CPC Soil Moisture This project has expanded to include not only data from CPC…

  38. EMC NLDAS Soil Moisture … but other sources too, such as NLDAS data from EMC

  39. CPC 30-Day Obs Pcp All of CPC’s precip data in support of the USDM is downloaded and saved…

  40. CPC 90-Day Obs Pcp Makes it very easy to look at different timescales…

  41. CPC 90-Day Pcp Departure … and parameters, including pcp departure

  42. CPC 90-Day PNP … and percent of normal precip.

  43. AHPS 90-Day PNP USDA just started downloaded the suite of precip products from AHPS, which provide more detail

  44. AHPS 90-Day PNP The data helped resolve some local issues in Florida during my past USDM shift…

  45. AHPS 90-Day PNP CPC 90-Day PNP With some discrepancies noted with the 1st-order CPC data

  46. AHPS 90-Day PNP CPC 90-Day PNP Local reports supported the more dire AHPS depiction

  47. AHPS 7-Day Pcp Also downloaded are the7- and 14-day AHPS total Pcp.

  48. The need for special analyses (discussed earlier) and USDM-cutoffs led to the development of a macro that allows more flexibility

  49. AHPS 7-Day Pcp Consequently, we are able to easily create pcp maps that match the USDM’s 12z Tues cutoff (or other special Wx event)

  50. NESDIS VHI The VHI (from F Kogan, et al) is also part of the USDM GIS editor…

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