EMMA / METEOALARM Multiservice Meteorological Awareness System Michael Staudinger One dimensional situation Disaster Cycle – real world Disaster Cycle

W E Experiences from real cases

1. Aim of warnings: avoid damage >> the need of user reactions

2. Relationship: Warnings - Damages/Impact

3. Keep highest level very different – really exceptional

4. Use the chances of „multihazard warning systems“ METEOALARM warning schedule Redagno 2006

Relationship between:

• meteorological thresholds (valid locally)

• Europe wide valid criteria (meteorologically)

• extent of typical damage

• advice for behaviour (depending on sociocultural and administrative realities) Maesures Maesures Criteria for a warning scheme

1. Simplicity

2. Dynamic range (take care for very extreme situations)

3. Harmonisation for all users concerned (locals and tourists)

4. Adaptable to different warning- and hazard types

5. Impact orientation Austrian weather warnings till 2006 METEOALARM warning schedule Redagno 2006

Damage / Impact What to do? Used how often? Meteo Treshholds Rain (Area approx. area related + 300 000 km2) Damage related

Green --- usual phenomena yellow exposed objects caution with > 30 per year > 54 mm/12h (avoidable) exposed activities orange general damages keep informed in 1 to 30 per year > 80 mm/12h detail, follow advice (not avoidable) of authorities red extreme damage follow order of less then 1 year > 140 mm/12h and /or casualties authorities under + large (5000km2) extreme damage all circumstances scale phenomena (mostly) on large areas, threatning be prepared for life and properties extraordinary (not avoidable, even in measures otherwise safe places)

METEOALARM operational maps for today + tomorrow METEOALARM operational maps for today + tomorrow METEOALARM operational maps for today + tomorrow METEOALARM operational maps for today + tomorrow 3rd level information Access to the METEOALARM Website

Total hits 1 st year 612 Mio Warning parameters

Standard set of awareness situations:

Wind (mean wind speed or wind gusts, or any combination)

Rain (heavy rainfall in intensity or in cumulated amount)

Snow/Ice (heavy snowfall, drifting snow and icing phenomena)

Thunderstorms Warning parameters

Additional set of awareness situations:

Fog

Temperature extremes (heat or cold waves)

Coastal events (such as , …)

Forest Fire (risk of forest fire related to meteorological conditions)

Avalanches Role of the forecaster in a multihazard situation Different model results: 1. ECMWF Different model results: 2. Aladin Different model results: 3. INCA Optimized Forecasts

Combination of different input sources:

Numerical Models

Know How of the Forecasters

INCA – Nowcasting tool Modifications: Area Time – step Enhancement – diminuation smoothing

Control points (CP) Homogenisation of forecasting work

forecasters discussion forum ƒ decision tree for „red“

criteria at one point/station no red / lower level

area criteria (parameter) met? no red / lower level

extreme impact possible 1 no red / lower level

Pos feedback from civ pro? no red / lower level

optional steps „red“ 1 might be caused by a combination of parameters Decision team for „red“

ƒ Senior forecaster (teamleader)

ƒ Hydrologist

ƒ Board of institution

ƒ Expert on climate

ƒ Media expert

ƒ Civil protection METEOALARM warning schedule – local implication Statistics August 2007 – April 2008 Information flow of meteo warnings

In situ data Meteo D ata + e.g. FMI train Meteo ing Models Civil protection SF SF Media nationally defined datasets GMES Info g + public nin (Protected website) EFAS, EFFIS rai + t Windstorm . . . ta Hydro Da e.g. Sat Obs M. Staudinger 18.2.2008 EMI - Information flow of meteo-hydro warnings

National level In situ data Meteo forecasters Data Civil protection SE Models Hydrometeo SE Media EFAS, EFFIS exchangenationally + defined datasets e.g. SMHI + public Windstorm, LM´s . . . training (Protected website) Sat Obs, Sat Rep EMI - Information flow of meteo-hydro warnings

National levels

In situ data Meteo Models forecasters Data Hydrometeo exchange + Civil protection SE SE Media e.g. SMHI training nationally defined datasets EFAS, EFFIS (Protected website) + public Windstorm, LM´s . . .

Sat Obs, Sat Rep Intranet

In situ data Meteo D ata + e.g. FMI trai Meteo ning Models Civil protection SF SF Media nationally defined datasets IDI, EFAS, EFFIS (Protected website) + public ing Windstorm, LM´s . . . ain tr a + Hydro at e.g. Finland D Sat Obs, Sat Rep M. Staudinger.2.4.2008 EMI - Information flow of meteo-hydro warnings

European level EUMETNET EU Media In situ data www.meteoalarm.eu Public Alert levels Day 1 + 2 www.meteoalarm.eu Meteo Forecasters Definition + Models Nat Hydro / Met operational (Europe 30 + communication other areas) IDI, EFAS, EFFIS EUMETNET MIC Windstorm, LM´s . . . m e t e o a l a r m CP Intranet A lerts Day 1 to 6 Sat Obs, Sat Rep

National levels

In situ data Coordination data exchange Meteo Models forecasters Data Hydrometeo exchange + Civil protection SE SE Media e.g. SMHI training nationally defined datasets IDI, EFAS, EFFIS (Protected website) + public Windstorm, LM´s . . .

Sat Obs, Sat Rep METEOALARM Intranet FC Intranet METEOALARM Intranet Meteoalarm CP

In situ data Meteo D ata + e.g. FMI trai Meteo ning Models Civil protection SF SF Media nationally defined datasets (Protected website) + public IDI, EFAS, EFFIS g ECMWF, Consortia, EUMETNET-ECMWF, Consortia, GMES,Programs, commercial WMO access . . . in Windstorm, LM´s . . . ain tr a + Hydro at e.g. Finland D Sat Obs, Sat Rep M. Staudinger.2.4.2008 Information flow of meteo warnings

National levels

In situ data Meteo Models forecasters Data Civil protection SE SE Media Hydrometeo exchange + nationally defined datasets GMES Info e.g. SMHI training + public EFAS, EFFIS (Protected website) Windstorm . . .

Sat Obs Coordination data exchange Coordination data exchange Coordination data exchange Coordination data exchange

In situ data Meteo D ata + e.g. FMI train Meteo ing Models Civil protection SF SF Media nationally defined datasets GMES Info g + public nin (Protected website) EFAS, EFFIS rai + t Windstorm . . . ta Hydro Da e.g. Finland Sat Obs M. Staudinger 18.2.2008 Information flow of meteo warnings

European level EUMETNET EU Media In situ data meteoalarm Public Meteo Forecasters Alert levels Day 1 + 2 www.meteoalarm.eu Models Hydro / Met Definition + (Europe 30 + operational GMES Info other areas) communication EUMETNET EFAS, EFFIS Windstorm . . . meteoalarm / MIC Intranet Alerts Day 1 to 6 Sat Obs o o National levels Coordinati n data exchange Coordinati n data exchange In situ data Coordination data exchange Coordination data exchange Meteo Models forecasters Data Civil protection SE SE Media Hydrometeo exchange + nationally defined datasets GMES Info e.g. SMHI training + public EFAS, EFFIS (Protected website) Windstorm . . .

Sat Obs

In situ data Meteo D ata + e.g. FMI train Meteo ing Models Civil protection SF SF Media nationally defined datasets GMES Info + public ing (Protected website) ECMWF, Consortia, EUMETNET-ECMWF, Consortia, GMES,Programs, commercial WMO access . . . n EFAS, EFFIS rai + t Windstorm . . . ta Hydro Da e.g. Finland Sat Obs M. Staudinger 18.2.2008 Future activities: Link WMO - METEOALARM Future activities:

ƒ Structured integration of new partners (EU30)

ƒ Further awareness types: coastal sea effects, floods . . .

ƒ Cooperation with other international programs (SWIC, WINDSTORM, EFAS, EFFIS)

ƒ Cooperation with ECMWF on IDI (Impact Damage Index)

ƒ Integration of METEOALARM results in other projects: BOSS4GMES, . . .

ƒ Cooperation and interaction with stakeholders based on experience of the past months: civil protection, emergency units, MIC . . . . Meteo – Hydro Warnungen e.g. Combined precipitation / flood warnings

France: SCHAPI system Future activities: New awareness types e.g. Combined precipitation / flood warnings

France: SCHAPI system Rain and/or floods Flood warning Carinthia: local flooding possible Many Thanks for your attention!