The Severe Weather Data Inventory SWDI A Geospatial

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The Severe Weather Data Inventory (SWDI): A Geospatial Database and Climatology of Severe Weather

The Severe Weather Data Inventory (SWDI): A Geospatial Database and Climatology of Severe Weather Data Steve Ansari, Stephen Del Greco (NOAA / NCDC) Mark Phillips (UNC-Asheville / NEMAC) 1

Goals • • Easy access to data in NCDC Archive Inventory for Severe Weather

Goals • • Easy access to data in NCDC Archive Inventory for Severe Weather Data Derive climatology products Geospatial Database solution Modular! Scalable! Unique spatial dataset relationship Services! SOA! 2

Data Current Datasets: • NEXRAD Level-III Storm Attributes • Preliminary Local Storm Reports Coming

Data Current Datasets: • NEXRAD Level-III Storm Attributes • Preliminary Local Storm Reports Coming soon: • Storm Events Database • NWS Warnings (presentation 9 B. 5) • National Lightning Detection Network Framework for other datasets 3

Data NEXRAD Level-III TVS Product (w/ Reflectivity) 4

Data NEXRAD Level-III TVS Product (w/ Reflectivity) 4

Data NEXRAD Level-III Hail Product 5

Data NEXRAD Level-III Hail Product 5

Data NEXRAD Level-III Mesocyclone Product 6

Data NEXRAD Level-III Mesocyclone Product 6

Data NEXRAD Level-III Tornado Product 7

Data NEXRAD Level-III Tornado Product 7

Data Preliminary Local Storm Reports • Preliminary reports from Storm Spotters, Emergency Mgmt. ,

Data Preliminary Local Storm Reports • Preliminary reports from Storm Spotters, Emergency Mgmt. , etc… • Tornado, Hail, Flash Flood, Wind, etc… • Transmitted in real-time – nightly load into SWDI 8

Data Preliminary Local Storm Reports 9

Data Preliminary Local Storm Reports 9

Data NCDC Storm Events Database • Verified text reports from NWS and Storm Prediction

Data NCDC Storm Events Database • Verified text reports from NWS and Storm Prediction Center. • Data from 1950 – Present • Tornado, Hail, Lightning, Wind, etc… • Fatalities, Injuries, Crop/Property Damage • Loaded into SWDI ~3 months after end of each month 10

Data NCDC Storm Events Database 11

Data NCDC Storm Events Database 11

Data NWS Warnings (polygon and county-based) • Severe Thunderstorm • Tornado • Flash Flood

Data NWS Warnings (polygon and county-based) • Severe Thunderstorm • Tornado • Flash Flood • Marine More info: Presentation 9 B. 5 12

Data NWS Warnings in Google Earth 13

Data NWS Warnings in Google Earth 13

Data Vaisala’s National Lightning Detection Network (NLDN) • 130 Sensors Nationwide • 1995 –

Data Vaisala’s National Lightning Detection Network (NLDN) • 130 Sensors Nationwide • 1995 – Present Images courtesy of NASA (http: //thunder. msfc. nasa. gov/primer 3. html) 14

Process 15

Process 15

Geospatial Database • Oracle Spatial Extension • Adds GIS functionality to Oracle database •

Geospatial Database • Oracle Spatial Extension • Adds GIS functionality to Oracle database • Links all spatial datasets together + “Select all TVS within 50 miles of ATL between 20050819 18: 00 Z and 20050819 22: 00 Z” “Select all Hail > 1 inch within Fulton County” 16

Access Web Pages ( http: //www. ncdc. noaa. gov/swdi ) 17

Access Web Pages ( http: //www. ncdc. noaa. gov/swdi ) 17

Access Data Download (Shapefile, KMZ, Text File) • NLDN exported as Shapefile in Arc.

Access Data Download (Shapefile, KMZ, Text File) • NLDN exported as Shapefile in Arc. GIS 18

Access Data Download (Shapefile, KMZ, Text File) • NEXRAD Tornado Vortex Signatures in Google

Access Data Download (Shapefile, KMZ, Text File) • NEXRAD Tornado Vortex Signatures in Google Earth 19

Access Web Map Server / Web Feature Server (WMS/WFS) • Direct access from GIS

Access Web Map Server / Web Feature Server (WMS/WFS) • Direct access from GIS Clients 20

Access REST Web Services • Each URL defines a unique resource • Easy programmatic

Access REST Web Services • Each URL defines a unique resource • Easy programmatic access to data • Allows integration into custom applications • System and language independent 21

Access Example SWDI REST URLs: (Almost a Virtual File System – hopefully intuitive!) http:

Access Example SWDI REST URLs: (Almost a Virtual File System – hopefully intuitive!) http: //www. ncdc. noaa. gov/swdiws 1. /kmz/plsr/20071101: 20071115 2. /csv/nx 3 tvs/20070501: 20070601? stat=count 3. /xml/nx 3 tvs/20070501: 20070601 ? radius=5. 0&center=-96. 0, 35. 0 4. /shp/nx 3 hail/20070501: 20070601? state=ca 22

Analysis • Comparison between datasets – Possible Bias Detection, QC, etc… “Select all TVS

Analysis • Comparison between datasets – Possible Bias Detection, QC, etc… “Select all TVS between 20050810 0: 00 Z and 20050811 0: 00 Z where there are no NLDN within 10 miles” “Select all Thunderstorm Warnings that do not contain a Local Storm Report” 23

Analysis 24

Analysis 24

Analysis 25

Analysis 25

Analysis 26

Analysis 26

Analysis 27

Analysis 27

Storm Risk Assessment Project • Spatial distribution and frequency 28

Storm Risk Assessment Project • Spatial distribution and frequency 28

Storm Risk Assessment Project • AL Tornado outbreak of 03/01/2007. – Who was affected?

Storm Risk Assessment Project • AL Tornado outbreak of 03/01/2007. – Who was affected? (using L 3 TVS data) • 4. 2 to 1 Homeowners to Renters in affected Census blocks. (Alabama statewide ratio = 2. 6) 29

Conclusion The Severe Weather Data Inventory: • Allows easier access to the NCDC Archive

Conclusion The Severe Weather Data Inventory: • Allows easier access to the NCDC Archive • Joint project with NEMAC, UNCA, RENCI • Modular GIS spatial database approach • Datasets remain independent • Multiple user access methods • Improve disaster response, recovery and mitigation • Many possibilities of application • Not real-time at NCDC – updated nightly 30

Future Plans 2008 Integrate additional datasets (Warnings, Storm Data, NLDN) Reprocess historical data Storm

Future Plans 2008 Integrate additional datasets (Warnings, Storm Data, NLDN) Reprocess historical data Storm Risk Assessment Project: Product generation, socio-economic analysis, … 2009 Include data mined from gridded datasets (Precipitation amount/type, hail regions, etc…) 31

Contact Thank you! Questions? SWDI Website: http: //www. ncdc. noaa. gov/swdi (password protected for

Contact Thank you! Questions? SWDI Website: http: //www. ncdc. noaa. gov/swdi (password protected for BETA testing) Contact: Steve. Ansari@noaa. gov (828) 271 -4611 151 Patton Ave. Asheville, NC 28801 32

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Analysis • Disaster Mitigation • Example: Compare 1 Hour of NLDN to Population Grid

Analysis • Disaster Mitigation • Example: Compare 1 Hour of NLDN to Population Grid Data: NLDN 08/02/2005 20: 00 – 21: 00 UTC Gridded Population of the World - SEDAC (Socioeconomic Data and Applications Center at Columbia University) http: //sedac. ciesin. columbia. edu/gpw 34

Analysis • Example: Compare 1 Hour of NLDN to Population Grid Process: 1. Download

Analysis • Example: Compare 1 Hour of NLDN to Population Grid Process: 1. Download 2000 Population Grid at ~4 km resolution. 2. Convert cell centroids to points 3. Subset data for Florida 4. Spatial Join to closest NLDN data 5. Examine matching population grid cells 35

Example Analysis • Process: Download 2000 Population Grid (~12 km resolution). 36

Example Analysis • Process: Download 2000 Population Grid (~12 km resolution). 36

Example Analysis • Process: Convert cell centroids to points, subset for Florida. 37

Example Analysis • Process: Convert cell centroids to points, subset for Florida. 37

Example Analysis • Process: Spatially join to NLDN data based on distance. 38

Example Analysis • Process: Spatially join to NLDN data based on distance. 38

Example Analysis Total Population Affected = 696, 179 --- 5 Strikes or More =

Example Analysis Total Population Affected = 696, 179 --- 5 Strikes or More = 166, 346 39