Kiel Ortega Hazardous Weather Forecasts & Warnings Hail Verification and Analysis Research.

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Presentation transcript:

Kiel Ortega Hazardous Weather Forecasts & Warnings Hail Verification and Analysis Research

2 NSSL Laboratory Review February 17-19, 2009 Evaluating a hail algorithm or how many ways can you measure a hailstone? 1 km 2 resolution grid Available nationwide Many users, including NWS NSSL Hail Swath algorithm (WDSS-II)

3 NSSL Laboratory Review February 17-19, 2009 Field Projects Geographic extent Safety/cost Historical Hail Verification Collection Warning Verification Only one verification point needed to verify a warning Sparse reports Incorrect hail sizes Severe reports only Limited evaluation

4 NSSL Laboratory Review February 17-19, : Leveraging New Technology To Meet Research Needs Technology 2006: Google Earth released Overlay WDSS-II data Gas stations, fast food, banks, etc. already in Google Earth Reverse look-up techniques Research Algorithm evaluation Accurate verification data Probabilistic hazard information Precise verification data

5 NSSL Laboratory Review February 17-19, 2009 NWS VERIFICATION Quick Review: Current Hail Verification Sparse Only severe reports ¾”+ hail

6 NSSL Laboratory Review February 17-19, 2009 Severe Hazards Analysis and Verification Experiment (SHAVE) Phone calls to conduct surveys Student-run, student-led Remote high resolution verification of: Hail Wind damage Flash floods SHAVE VERIFICATION

7 NSSL Laboratory Review February 17-19, 2009 Informal Tech Transfer: SHAVE to NWS “The SHAVE project inspired some of us to utilize Google Earth in operations in real time to try and get real time reports, as well as a sense of the intensity of storms as they are happening. As a result…severe thunderstorm warning [accuracy] increased from 49% to 60%” -NWS Warning Coordination Meteorologist (20 Jan 2009)

8 NSSL Laboratory Review February 17-19, SHAVE ( ) 21,637 data points collected