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Kevin Kodama and Robert Ballard NOAA/NWS Honolulu

The Moisture-Stability Index (MSI) and its Application to Flash Flood Forecasting in the Hawaiian Islands. Kevin Kodama and Robert Ballard NOAA/NWS Honolulu. Outline. Flash flooding in Hawaii Ingredients for flash flooding and heavy rainfall Moisture-Stability Index (MSI) Methodology

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Kevin Kodama and Robert Ballard NOAA/NWS Honolulu

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  1. The Moisture-Stability Index (MSI) and its Application to Flash Flood Forecasting in the Hawaiian Islands Kevin Kodama and Robert Ballard NOAA/NWS Honolulu

  2. Outline • Flash flooding in Hawaii • Ingredients for flash flooding and heavy rainfall • Moisture-Stability Index (MSI) • Methodology • Results • Summary – Application to Operations

  3. Flash Flooding in Hawaii • One of the main natural hazards in the Hawaiian Islands • Responsible for most of the direct weather-related deaths in HI • Feb-Mar 2006, Statewide • 7 deaths, 28 events • Oct 2004, Manoa • 8.7”/5-hrs, $100 Mil • Nov 2000, Big Is • 37”/24-hrs (22”/6-hrs) • $70 Mil

  4. Flash Flood Warnings and Watches • Flash flood warnings: Issued by NWS when flooding poses a threat to life and property and occurs within 6-hrs of cause. • Hawaii: Often less than 1-hr and sometimes less than 30-minutes of heavy rain onset • Little to no time for preparation, mainly reaction • Flash flood watches: Issued by NWS when there is a possibility of flash flooding with 48-hrs. • More uncertainty but sufficient time for meaningful preparations • Preposition equipment • “Lean forward” posture by emergency management • Challenge to improve both accuracy and lead time

  5. Ingredients for Flash Flooding • In most cases, Hawaii flash flooding due to heavy rainfall • Rare cases: dam failure • No cases: ice jams • Thus, ingredients needed are... • Rainfall of sufficient intensity and duration • Necessary hydrologic factors (antecedent moisture, basin characteristics, etc.)

  6. Ingredients for Heavy Rainfall • Moisture, always present, but... • Deep moist layer is better • Greater low level moisture more unstable • Upward Motion • Provided by airmass instability • Also assisted by orographic forcing • High Precipitation Efficiency • More water vapor converted to precipitation

  7. The Moisture-Stability Index (MSI) • Developed by Bob Ballard, HFO Science & Ops Officer • Forecasting by anomalies • Uses standardized anomalies (N) of 500 and 700 hPa temperatures and precipitable water • 500 hPa: Diagnose instability aloft • 700 hPa: Diagnose temp near trade wind inversion level • PW: Diagnose moisture availability • Anomalies combined to produce MSI • MSI = Npw - N500 - N700 • Negative values of 500 and 700 mb anomalies contribute positively • i.e., Cooler than normal temps increase MSI

  8. MSI Scale • Near normal: -1.5 to +1.5 • Positive MSI scale • Slightly wetter than normal: +1.6 to +2.5 • Enhanced showers: +2.6 to +3.5 • Towering Cu: +3.6 to +4.5 • Thunderstorms: +4.6 to +6.5 • “Wow!”: >+6.5 • Negative MSI scale • Slightly drier: -1.6 to -2.5 • Dry and stable: -2.6 to -4.5 • “HI Visitor Bureau Wx!”: <= -4.6

  9. Study Methodology • Is MSI correlated with rainfall intensity? • Compare maximum rain rates from automated gage network with MSI from nearest sounding. • Lihue, Kauai sounding: 36 gages on Kauai & Oahu • Hilo, Hawaii sounding: 28 gages on Maui & Big Island • Molokai & Lanai not included • Only 3 gages • Which sounding?

  10. Rain Gages

  11. Study Methodology cont. • Rain rates obtained from gage alarms sent to WFO • 15-minute sampling period • Converted to in/hr rate • Maximum rain rate from all alarms on island compared to MSI from closest sounding • Alarms from 06Z to 18Z vs. 12Z sounding MSI • Alarms from 18Z to 06Z vs. 00Z sounding MSI • 474 alarm vs. MSI data points

  12. MSI vs Rainfall Intensity

  13. MSI vs Rainfall Intensity • Most intense rates have high MSI • Max rate >=3”/hr, then MSI >= +3.0 (22 of 28 cases) • MSI < -1.0 then all cases <3”/hr max rate • Many cases of high MSI but low rain • Intense rain core missed gage?

  14. Summary • Looked at utility of Moisture-Stability Index (MSI) for flash flood operations in Hawaii • MSI assesses heavy rainfall potential by analyzing anomalies of 700 & 500 mb temperature and total precipitable water • Study compared MSI with the max rain rate data from an automated rain gage network • Moisture-Stability Index is related to max rain intensity • Max rate >=3”/hr, then MSI >= +3.0 (22 of 28 cases) • MSI < -1.0 then all cases < 3”/hr (and fewer alarms) • Application to operations • Calculate MSI from model fields for longer range guidance • Incorporate into Gridded Forecast Editor (GFE)

  15. MSI as GFE Guidance • MSI calculated in GFE out to 10 days for GFS, ECMWF, NOGAPS models • Forecasters can use MSI fields for improved situational awareness of FF potential and use it as guidance for flash flood watches

  16. Further Study • Incorporate radar data into analysis • Improved spatial representation • Verification statistics of model-derived MSI • Any useful bias adjustments?

  17. Questions?

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