1. GIS Applications in Meteorology and Hydrology John S. Quinlan NWS Albany, NY

2. What is GIS? Geographic Information Systems Systems of hardware and software which store, retrieve, map and analyze geographic data in relational databases. GIS uses spatial and attribute data with vector and raster data structures, and topology to create geographic data models. GIS also allows for the representation of a third dimension which is usually elevation (i.e. Digital Elevation Model (DEM) produced by the USGS).

3. A view is an interactive map that allows you to display, query and analyze data. ArcView supports tabular data in dBASE, delimited text and INFO format. Charts are linked to maps and tables and allow for the display of additional info. Layouts let you assemble all the components you want to appear in a map. Scripts are project components that can be associated with either a control, such as a menu item or a button, or with an event.

4. DEM is a file format created by the USGS for storing elevation data. Converting DEM elevation data to grid format allows the user to determine slope, aspect, hillshade and contour.

5. Elevations and Towns at 500 FT Increments in ALY Forecast Area

6. What is Spatial Analyst It is a GIS extension which allows the user to study the locations and shapes of geographic features and the relationships between them. It is very useful for analyzing meteorological or hydrologic data in terms of geographic distribution, and for verification analyses of forecasts and warnings.

7. Spatial Analyst Surface Interpolators (These Create a Continuous Surface from Sampled Input Points) Inverse Distance Weighted (IDW) - assumes each input point has an influence which diminishes with distance. Spline - is an interpolation method that fits a minimum-curvature surface through the input points. Kriging - is a specialized interpolation method that assumes the spatial distance or direction between points shows spatial correlation. Trend - is an interpolator that fits a mathematical function to all input ponts.

8. Growing Season ALY Forecast Area

9. Growing Season ALY Forecast Area & Verification

11. Blizzard 1/22-23/05

12. Even with the correct QPF, your snow forecast can be off target.

13. Notice the Snow to Liquid Ratio varied from 10-20:1 to 40-50:1

14. Elevation Snow Event (Wilma) 10/25-26/05

15. Snowfall amounts and Analysis for Elevations > 1500 FT

16. Snow Event 12/9/05

17. GFE Snow Forecast for 12/9/05

19. Snowfall Verification 12/9/05 (Forecast vs. Observed from GIS)

21. Snow Survey Data and Analysis

23. April 2-4, 2005 Flood Event Use of GIS to Improve Flood Warnings

24. Antecedent Conditions http://www.wrcc.dri.edu/spi/spi.html

25. Major East Coast Storm with Tremendous Upslope Flow into the Catskills April 2-3, 2005

31. Precipitation and Snowmelt April 2-4, 2005 GIS Basin Average Rainfall 4.01” in the Esopus Basin and 4.28” in the Rondout Basin. GIS Basin Average Water Content released from Snow 3.76” in the Esopus Basin and 3.00” in the Rondout Basin. Little if any use of water by vegetation.

32. Site Specific Model Output MRNN6

33. MRNN6 3/28/05–4/25/05

34. Ashokan Reservoir Spillway

35. Kingston Traffic Circle

36. April 2-4, 2005 Flood Event Combination of Heavy Rain and Snowmelt 35 Million in Federal Disaster Assistance Gage/Flood Stage/Crest/Date/Rank MTRN6 FS = 11.0,20.58 4/3/05 (3 rd ) MRNN6 FS = 20.0,26.46 4/4/05 (1 st ) ROSN6 FS = 18.0,24.96 4/3/05 (2 ND )

37. High Wind Event 1/21/06

39. High Wind Event 2/17/06

40. WSEta 30AGL Winds 16Z 2/17/06

42. High Wind Event 2/17/06 National Grid reported that 120,000 out of their 520,000 customers across eastern New York were without power. 328,000 customers were without power across the state. Wind Gusts of 60 to 80 MPH were common. Hundreds of power poles were snapped. Largest amount of wind damage since remnants of Floyd in 1999 and the Labor Day Derecho in 1998.

43. Summary and Future Work GIS has many applications in Meteorology and Hydrology. It can help with the analysis of data as well as the issuance of warnings and verification. Future work includes automating the analysis of the snow survey data and creation of snow grids from past storms which can be imported into GFE for storms with similar characteristics.