EMMA / METEOALARM - European Weather Warnings
B. Niedermoser M. Ungersböck, A. Ohms, M. Staudinger, EMMA / METEOALARM
History and present situation of the project
European Warning structures
Open problems
Chances for the future Nature of catastrophies
Europa Regional METEOALARM operational maps for today + tomorrow METEOALARM operational maps for today + tomorrow METEOALARM operational maps for today + tomorrow
Internet user Intranet user WWW
XML Statistik : -> maps generated / day-> archive 7.5 Mio 1500 maps day maps year Access from outside: 12 Mio/day (Max) – to 6 (average) 1
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p A ( Producing ) Visualisation) New Visualisation) sec IIS webserver MS SQL server MS SQL server ( Load-Balancer Backbone Firewall webserver prim . IIS every 10 minutes METEOALARM Production Centre Salzburg feedback
UK July 20th – green when floods / METEO - HYDRO
Differences between countries
RSS feed
Missing info on ozon, air pollution
Missing EU member states
Congratulations . . . . Recent events
Cooperation with other institutions:
Presentation of METEOALARM at the EU Commission, Brussels Cooperation with MIC (Monitorung and Information Center) Integration in BOSS4GMES Cooperation with ECMWF
Coming up: WMO – PWS GEOSS Recent events
European partners in the process of joining:
Croatia Czech Republic Estonia Latvia Slovakia Slovenia METEOALARM - environment
Market interest
Media Concept / Visibility Content
Internal Technical Harmonisation Performance Relationship warnings - damages
Aim of warnings: avoid damages
To achieve best results: adequate reactions necessary
„special category “ necessary for large scale damages E.g. large numbers of people displaced
Frequencies of warnings as most important element for reactions
If vaild for all of Europe: consistent warning- damage relation needed
Chances of a „Multihazard Warning system“ Relationship warnings - damages
Avoid the following cases:
Warning for a heat wave in Greenland
Missing warnings for frost in the Azores
More than 1 element yellow - extreme damages
Excessive „red“cases – missing adequate reactions
...... Type of forecasts - Warnings
Type of forecast economic / social implications
General forecast (often automatically produced)
Special weather report „Warnings“ for single clients
Warnings
Users relate the term „Warnings“ with damages scales scales Damages - Warnings
Damage / Impact What to do? Used how often? Meteo Treshholds Rain (per approx. 300 area related + kkm2) Damage related
Green --- usual phenomena yellow exposed objects caution with > 30 per year > 30 mm/12h (avoidable) exposed activities orange general damages keep informed in 1 to 30 per year > 54 mm/12h detail, follow advice (not avoidable) of authorities red extreme damage follow order of less then 1 year > 80 mm/12h and /or casualties authorities under all for large (5000km2) extreme damage circumstances scale phenomena (mostly) on large areas, threatning be prepared for life and properties extraordinary (not avoidable, even in measures otherwise safe places) Integration into national procedures September floods + snow September floods + snow Precipitation sums
Station 24h sums 48 h sums
Bad Goisern 84,4 143,4
Gmunden 79,7 121,1
St. Wolfgang 90,0 147,3
Windischgarsten 81,0 157,4
Lofer 79,1 137,4
Radstadt 66,6 107,5
Rudolfshütte 71,1 132,7
Salzburg-Freisaal 65,1 96,5 Return period for 24h event Return period for 48h event 2007 -10 - 06 2007 -10 - 06 2007 -10 - 07 2007 -10 - 07 2007 -10 - 08 Lower Austria Lower Austria Lower Austria Damages
Niederösterreich 2 – 4 Mio € Oberösterreich 1 – 2 Mio € All of Austria 1 fatality
Present concept: „red“
Damages and warnings in neighbouring countries: „orange“ Natural catastrophies – extent of damage Severity of the event
community regional country Who knows how much?
competence of single actors
Complexity of the event European Structures - MIC (Monitoring and Information Center) GMES - Emergency Response Core Services
Space Service Governance infrastructure EU focal point
Negotiation of EO data availability End-user Space Ground focal point Requestes G Segments A EROS focal point MM data ground segment interface T National down- E stream W services A Fast Tracks and Y Q other data C EO value added data sources providers
Delivery
In situ data Thematic maps providers networks
Models
Emergency Response Core Services Europäische Warnstrukturen
In situ data Meteo Models Forecaster Civil protection SE Media Additional Info Hydrometeo training nationally taylored datasets EFAS, EFI Dataset, model # 1,2,4,5,7 public Windstorm . . . SMHI Sat Obs In situ data Meteo Models Forecaster Civil protection SE Media Additional Info Hydrometeo training nationally taylored datasets EFAS, EFI Dataset, model # 1,2,4,5,7 public Windstorm . . . SMHI Sat Obs
In situ data Meteo Meteo Models FMI Civil protection SF Media Additional Info training nationally taylored datasets EFAS, EFI Dataset, model # 1,2,3,6,10 public Windstorm . . . Hydro Sat Obs Finland In Meteo situ data Models Forecasters MIC METEOALARM Additional Info Definition day 1-6 All datasets Media Hydro / Met + training EFAS, EFI model 1, 3, 4 Models 1 to 10 Public (Europe 30) www.meteoalarm.eu Windstorm . . . CP EU www.meteoalarm.eu Sat Obs (Intranet)
In situ data Meteo Models e.g. forecaster Civil protection SE Media Additional Info Hydrometeo training nationally taylored datasets EFAS, EFI public SMHI Dataset, model # 1,2,4,5,7 Windstorm . . . (Protected website) Sat Obs
In situ data Meteo e.g. Meteo Models trai Civil protection SF ning FMI nationally taylored datasets Media Additional Info Dataset, model # 2,3,6,7 public EFAS, EFI g (Protected website) Windstorm . . . Hydro inin tra Sat Obs Finland Website for Civil Prot. / MIC
What? Allows access for CP to datasets from neighbouring countries gives MIC a condensed overview of all necessary sets of data
How? Passwordprotected Defined user rights by different countries for their Civil. Prot (levels) enhanced activities from level orange onwards
When? Starts as overview for MIC and gets enlarged according to the request of different countries possible warning parameters / meteorological features
Day 0 Day +1 Day +2 Day +3 Day +4
Rain
Snow/Road conditions Wind
Cloudiness 10 90 100 100 100 (Sat obs) Information for civil protection
Impact >20/year 20/year 10/year 1/year (return period) + + + area criteria area criteria area criteria + + + Probability other factors other factors other factors
1-30%
30 – 70%
70 – 90%
90 – 100% Statistics February – October (all parameters)
percentage of shown country colors
100%
80%
60%
40%
20%
0% AT BE CH CY DE DK ES FI FR GB GR HU IR IS IT LU NL NO PT SE Forecasters forum Statistics February – October (all parameters)
percentage of shown country colors
100%
95%
90%
85%
80%
75% AT BE CH CY DE DK ES FI FR GB GR HU IR IS IT LU NL NO PT SE Rain thunderstorms Snow 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 Expert team for „red“
Senior forecaster (teamleader)
Member of the board
Expert on clima / statistics
Contact point to the media
Civil protection decision tree for „orange“
criteria at one point/station no orange / lower level
area criteria (parameter) met? no orange / lower level
extreme impact possible 1 no orange / higher or lower level
„orange“
optional steps
1 might be caused by a combination of parameters Meteo – Hydro Warnungen e.g. Combined precipitation / flood warnings
France: SCHAPI system Austria Carinthia
Platform for Experts on
Meteorology Hydrology Civil protection Relieve units http://wetterbox.kso.ac.at Meteo – Hydro Warnungen METEOALARM Pyramid of information - present
Problems:
EU map Regional info? (Countries) Which parameter/country? all parameters
Country information (partly with icons) Missing icons
Missing texts Regional information (Partly with text) METEOALARM Pyramid of information - future
Solutions:
EU map No oversizing of regional info (Regions) Imminent hazards
Country maps ______More info through icons All countries with icons Potential risks less visible Non imminent hazards: Forest fires, fog, avalanches?,
Regional text information in all countries available info made visible Open questions for WP (David Richardson)
Which products help users in providing early warnings?
What should be expected for 3 days, 1 week, 1 month
How important post processing/calibration of model data
Verification for early warning: Extreme / rare events sample size observations – do we know what happened? extrapolate from moderate events what scores to use?
how should case studies be used (consider false alarms and missed events)? Open questions for WP (David Richardson)
Which products help users in providing early warnings?
What should be expected for 3 days, 1 week, 1 month
How important post processing/calibration of model data
Verification for early warning: Extreme / rare events sample size observations – do we know what happened? extrapolate from moderate events what scores to use?
how should case studies be used (consider false alarms and missed events)? Information from damage observations to the system
Awareness for details of damages and potential preconditions
Needed: Networks between civil protection & meteorologists
Feedback mechanism about damages to NMHS / member states / ECMWF
Case studies on all aspects of skill needed (hit, missed, FA, corr rejection)
Dependence on consequences of climatic changes / adaptation Merci for your attention!