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NOAA Regional Integrated Sciences and Assessments (RISA) Program Web Application Development for Dynamic Drought Index M

Palmetto Chapter of the American Meteorological Society 12 th Annual Mini-Technical Conference, 15 May 2006. NOAA Regional Integrated Sciences and Assessments (RISA) Program Web Application Development for Dynamic Drought Index Mapping. Jinyoung Rhee *, Ph.D. Candidate

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NOAA Regional Integrated Sciences and Assessments (RISA) Program Web Application Development for Dynamic Drought Index M

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  1. Palmetto Chapter of the American Meteorological Society 12th Annual Mini-Technical Conference, 15 May 2006 NOAA Regional Integrated Sciences and Assessments (RISA) ProgramWeb Application Development for Dynamic Drought Index Mapping Jinyoung Rhee *, Ph.D. Candidate Greg Carbone *, Hope Mizzell **, and Ryan Boyles *** * Department of Geography, University of South Carolina ** SC State Climatology Office, SC Department of Natural Resources *** State Climate Office of NC, North Carolina State University

  2. Catawba-Wateree River Basin

  3. Exceptional Drought Extreme Drought Severe Drought Moderate Drought Abnormally Dry Source: Duke Power (http://www.dukepower.com/community/lakes/cw/) Catawba-Wateree River Basin

  4. Objective • To provide local scale drought monitoring tool that generates indices in various time scale • Spatial scale (state, climate division, county, drought management area of SC, 2~8-digit HUC water basin) • Time scale (short-term or long-term)

  5. Drought Indices Streamflow Precipitation Client (JavaScript) Numerical models (Python) Interpolation and Spatial Averaging Map Display User Input Raw Data and Percentiles Server (PHP) SVG embedded Database (MySQL) Graphical User Interface Structure PHP – PHP: Hypertext Preprocessor SVG – Scalable Vector Graphics

  6. Percentile: 22.78 Raw data: - 0.75 Calculating Percentiles • Total 55 years (1950 ~ 2004) • Palmer indices and SPI: all stations, all months • Streamflow and precipitation: each station, each month

  7. Interpolation (IDW) • 6 nearest stations • Search up to 12 nearest stations for data No data Next nearest station 4 km X 4 km grids

  8. Spatial Averaging For each spatial scale (state, climate division, county, drought management area of SC, 2~8-digit HUC water basin)

  9. Scalable Vector Graphics (SVG) • SVG defines vector-based graphics in XML (eXtensible Markup Language) format for the Web Source: SVG Tutorial (http://www.w3schools.com/svg)

  10. Classify and assign color MySQL Convert PHP DOM JavaScript files e.g. blend[SPI][0]=-4.29 Show value when mouseover, etc SVG element with an attribute ID=“0” Shapefile Shapefile to SVG • Conversion of geometries and properties of ArcView Shapefiles into SVG elements using Visual Basic Application module (from www.carto.net, http://pilat.free.fr/, Yahoo SVG developer Group; modified by Drs. Michael Hodgson and Edwin Chow) • Communication between MySQL database and SVG elements using PHP and JavaScript

  11. User Input • Display type • Input • PDSI, PHDI, Z Index • SPI in several time scales • Precipitation and streamflow in several time scales • Raw data vs. percentile blend

  12. Exceptional Drought Extreme Drought Severe Drought Moderate Drought Abnormally Dry Map User Input • Classification method • Equal interval • Quantile • Natural break • U.S. Drought Monitor-comparable category • For any percentile blend • For PDSI • For SPI • For weekly streamflow percentile

  13. Map Navigation Tools • Full view • New map extent • Pan • New map center • Zoom in & out • Zoom slide (JavaScript source code by Andreas Neumann; modified by Jinyoung Rhee)

  14. Map Layers • Visibility • Choropleth map • Boundary • Stations used

  15. No data 4 km x 4 km grid

  16. Map Layers • Visibility • Choropleth map • Boundary • Stations used

  17. 35.8 45.19 Click create map again 27.68 7.16 Layer Aggregation • Selected features of the same layer have been aggregated • Aggregation is based on the number of 4 km x 4 km grids with data used for spatial averaging of each feature

  18. Graph Create Graph Aggregated Features

  19. Table Create Table

  20. Exceptional Drought Extreme Drought Severe Drought Moderate Drought Abnormally Dry Comparison: spatial variabilityMay 1999 Climate Division 8-digit HUC County 50% PDSI and 50% 1-month SPI

  21. Exceptional Drought Extreme Drought Severe Drought Moderate Drought Abnormally Dry Comparison: spatial variabilityJuly 2002 Climate Division 8-digit HUC County 50% PDSI and 50% PHDI

  22. Comparison: time scale variabilityJanuary 1995 ~ December 2004 1-month SPI 3-month SPI 6-month SPI 12-month SPI

  23. Exceptional Drought Extreme Drought Severe Drought Moderate Drought Abnormally Dry Short term, December 1965 Short term, July 2002 Long term, December 1965 Long term, July 2002

  24. Conclusion • Customized functions have been extended gradually through the user feedback procedures: flexibility • Use of open-source software and database: suitability for cost effective and tight budget projects

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