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Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather Service May 23-24, 2006 Global Communication Needs for multi-hazard data and information at International and Regional levels in support of National Early Warning Systems

Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

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Page 1: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management

Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management

Fred Branski, Team Leader for Data Management

NOAA’s National Weather Service

May 23-24, 2006

Fred Branski, Team Leader for Data Management

NOAA’s National Weather Service

May 23-24, 2006

Global Communication Needs for multi-hazard data and information at International and Regional levels in support of National Early Warning Systems

Page 2: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Global Communication NeedsGlobal Communication Needs

The critical issues are:

• Data collection

• Coordination

• Dissemination

Hold this thought, we’ll come back to it.

The critical issues are:

• Data collection

• Coordination

• Dissemination

Hold this thought, we’ll come back to it.

Page 3: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Multi-hazard Data and InformationMulti-hazard Data and Information

What does it mean:

• Sector specific warnings (flooding, health or seismic events)

• Multi-hazard events

• Earthquake followed by a tsunami

• Volcanic eruption followed traveling ash cloud (aviation & health impacts)

• Wide spread or prolonged flooding followed by disease outbreaks

• Long term events such as drought

What does it mean:

• Sector specific warnings (flooding, health or seismic events)

• Multi-hazard events

• Earthquake followed by a tsunami

• Volcanic eruption followed traveling ash cloud (aviation & health impacts)

• Wide spread or prolonged flooding followed by disease outbreaks

• Long term events such as drought

Page 4: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

International and Regional levelsInternational and Regional levels

• Effective coordination can be inhibited by:

Language, cultural & political barriers

• Roll for international agencies:

Coordination

Brokerage

Support

• National will to cooperate for a better good

• Effective coordination can be inhibited by:

Language, cultural & political barriers

• Roll for international agencies:

Coordination

Brokerage

Support

• National will to cooperate for a better good

Page 5: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Support of National Early Warning SystemsSupport of National Early Warning Systems

“Last Mile”

This is the component having the greatest impact on outreach to people

Building or improving international / regional systems does little good without reliable robust national systems.

And vice versa!

“Last Mile”

This is the component having the greatest impact on outreach to people

Building or improving international / regional systems does little good without reliable robust national systems.

And vice versa!

Page 6: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Global Communication NeedsGlobal Communication Needs

Data collection:

Observations – roll for GEOSS

Model output

Supporting products & guidance

Data collection:

Observations – roll for GEOSS

Model output

Supporting products & guidance

Page 7: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Global Communication NeedsGlobal Communication Needs

Coordination:

Between nations & regions

Between agencies both intra and inter-nationally

Between currently disparate communities

Scientific disciplines such as hydrometeorology, seismology, oceanography & human & animal healt

With the Emergency Management community

With civil and political decision makers

Coordination:

Between nations & regions

Between agencies both intra and inter-nationally

Between currently disparate communities

Scientific disciplines such as hydrometeorology, seismology, oceanography & human & animal healt

With the Emergency Management community

With civil and political decision makers

Page 8: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Global Communication NeedsGlobal Communication NeedsDissemination: International, Regional & National aspects

To decision makers

To agencies responsible for preparatory and response activities

To the public (What do I do? Not science)

3 types of communications:

Pre-event (only for some events)

Real-time

Post event (Is the danger over? What do I do know?)

Integrated risk information

Automated alerting mechanisms: CAP - Common Alerting Protocol

Dissemination: International, Regional & National aspects

To decision makers

To agencies responsible for preparatory and response activities

To the public (What do I do? Not science)

3 types of communications:

Pre-event (only for some events)

Real-time

Post event (Is the danger over? What do I do know?)

Integrated risk information

Automated alerting mechanisms: CAP - Common Alerting Protocol

Page 9: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Key issueKey issue

i) Need for proven operational telecommunication mechanisms at international and regional levels for exchange of critical data and information in support of early warnings for multi-hazards? Issues, needs, challenges, capabilities.

GTS/WIS is a key global infrastructure

An existing competency which should be leveraged for EWS and disaster risk and impact reduction

i) Need for proven operational telecommunication mechanisms at international and regional levels for exchange of critical data and information in support of early warnings for multi-hazards? Issues, needs, challenges, capabilities.

GTS/WIS is a key global infrastructure

An existing competency which should be leveraged for EWS and disaster risk and impact reduction

Page 10: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Regional Meteorological Telecommunication Network for Region I (Africa)

point-to-point circuits implementation (transmission speed in kbit/s)

RTH, CRT

NMC, CMN

Centre in other region

MTN circuit, circuit RPT

Regional circuit

Interregional circuit

Djibouti

Cotonou

Moscow

New Delhi

Jeddah

Lusaka

Maseru

Maputo

Harare

New Amsterdam

Manzini

Moroni

Kigali

Dar Es Salaam

KinshasaLuanda

Windhoek

Lilongwe Mauritius

Entebbe

Douala

Lagos

N'djamena

CairoTripoli

Ouagadougou

Bamako

Abidjan

Accra

Nouakchott

Canary

Banjul

Bissau

Freetown

Monrovia

Conakry

Sal

Malabo

MadridRome

Western Sahara

Khartoum

Tunis

Ascension

St. Helena

Sao Tome

Kerguelen

Addis Ababa

64

9.6

4.8

0.05

DCP

NOvia Exeter

NI

NI

via Toulouse(64)

NI

NI9.6

64

9.6

0.075NI

0.05AFTN

1.2

19.2

1.2

0.05

NI

19.2

0.05AFTN

1.2

19.2

0.05 NI

0.05

0.05

0.05

0.05

9.60.1

DCP19.2

4.8

33.6

NO

33.6

1.2

1.2

2.4

64

1.2

34.8

64

19.2

NI

19.2

NI

NI

0.075

0.05

0.05

NI2.4Casablanca0.05

0.05

Bujumbura

NO

19.2

19.2

0.075

9.6

Libreville

Offenbach

Bangui

64

via Toulouse

via Toulouse

Washington

Toulouse

Gaberone

Algiers

Asmara

Lome

64

0.05

Toulouse

64

Brazzaville

19.2

Antananarivo

St Denis

Pretoria

9.6

NI

Mogadiscio

19.2 NiameyDakar

Nairobi

NI

NI

NI Not implementedNO Not operational

0.05

1.2

1.2

642.42.4

Seychelles

19.2

9.6

9.6

9.6 Via Internet

64

64

64

NI

NI

email

64

9.6

Page 11: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Vientiane

Ulaanbaatar

Baghdad

Doha

Kuwait

Bahrain

Dhaka

Yangon

Kathmandu

Kabul

Karachi

ColomboMale

Hanoi

Phnom Penh

PyongYang

Ashgabad

Macao

64K

Dushanbe

Almaty

NI

NI

NI

NI

Seoul

NI

NI

19.2-33.6K (V.34)

64K

19.2-33.6K V.34

2.4K

9.6K

64K

128K

64K

50

50

50

50

50

64K

64K

200

1200

2.4K

64K

100

200

75

64K

1200

75

50

100

7575

9.6K

Melbourne

Offenbach

Offenbach

Cairo

Cairo

Algiers

Moscow

Kuala Lumpur

Tashkent

Novosibirsk Khabarovsk

Bangkok

Frame RelayCIR<16/16K>

Frame RelayCIR<16/16K>

Melbourne

Washington

Frame RelayCIR<16/16K>

NI

NI 19.2-33.6K (V.34)

19.2-33.6K (V.34)

19.2-33.6K (V.34)

Regional Meteorological Telecommunication Network for Region II (Asia)

Bishkek

64K

2.4K

Singapore

9.6K

RTH in Region II

NMC in Region II

Centre in other region

MTN circuitRegional circuitInterregional circuitAdditional circuit

Non-IP linkIP link

NI No implementation

19.2-33.6K (V.34)

Tehran

Sanaa

200

Hong Kong

Moscow

NIFrame RelayCIR<32/32K>

Tokyo

Beijing

Frame RelayCIR<16/16K>

New Delhi

IMTN-MDCN CIR<32/768K>

IMTN-MDCNCIR<16/32K>

Manila

IMTN-MDCNFrame RelayCIR<48/48K>

Internet

Jeddah

Internet Internet

Internet

Muscat

Emirates

NI

Id V.34

Id V.34

64K

64K

64K

Internet

Washington

Internet

ISDN 128K

19.2-33.6K (V.34)

19.2-33.6K (V.34)

Via Moscow

IMTN-MDCNFrame RelayCIR<48/48K>

19.2-33.6K (V.34)

Frame RelayCIR<16/16K>Internet

IMTN-MDCNFrame RelayCIR<16/16K>

IMTN-MDCNFrame RelayCIR<16/16K>

IMTN-MDCNFrame RelayCIR<16/8K>

CMA-VSATCMA-VSAT

CMA-VSAT

Page 12: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Washington

Regional Meteorological Telecommunication Network for Region III (South America)

point-to-point and multipoint circuits implementation (transmission speed in bit/s)

RTH

NMC

Centre in other region

MTN circuit

Regional multipoint circuit via satellite (VSAT)

Interregional circuit

Regional circuit Buenos Aires

Cayenne

Georgetown

Montevideo

Porto-Alegre

Paramaribo

MaracayBogota

Quito

Lima

La Paz

Asuncion

Santiago

NO

AFTN

NO

NO Not Operational

64 K

64 K

64 K

50

75

7575

38.4 K

2400

38.4 K

2400

Brasilia

NO

38.4 K

2400

Internet

Internet

Frame Relay512 K

Internet

Internet

Internet

Internet

NO

Page 13: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Regional Meteorological Telecommunication Network for Region IV (North and Central America)

point-to-point and multipoint circuits implementation (kbit/s)

Honolulu

Havana

Kingston

Curacaos

Aruba

Port au Prince

RSMCMontreal

Bracknell

WMC Washington

Guadeloupe

Martinique

Grenada

Port of Spain

Tegucigalpa

Belize

San Jose

Panama

Managua

San Salvador

Guatemala

Mexico

S. Domingo

Nassau

St MaartenSan Juan

Antigua

St Lucia

Cayenne

Georgetown

St Vincent

Dominica

Anguilla

St Kitts

Tortola

Gd Cayman

Bermuda

RSMC Miami

Montserrat

Barbados

RTH

NMC

Centre in other region

MTN circuit

Interregional circuit

Regional circuit

Regional multipoint circuit via satellite (VSAT)64 kb/s Rec & 4 kb/s Trans

64

64

56 + 19.2

9.6

64

4

Buenos Aires

Brasilia

Tokyo

Pretoria64

Bogota

IMTNFR 1.5M

(CIR:32/768)

Melbourne

IMTNFR 256

(CIR:16/32)

Turks & Caicos

EMWIN Receiver

AFTN-Met-ATC64

AFTN circuit

64

Page 14: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Papeete

Honiara

Noumea

Jakarta

ASMCSingapore

Bangkok

Manila

Brunei

PortMoresby

2.4 X.25

9.6 TCP/IP

9.6 TCP/IP

RSMCDarwin

Exeter

AFTN +GTS4.8

TCP/IP

Apia Pago-Pago

Micronesia

RSMCNadi

Port Vila

AFTN+GTS9.6 X.25

Wellington

RSMCHonolulu

Guam

Melbourne/Brisbane

Moscow

E-mail gateway to: Cooks IslandsVanuatuNiueSamoaTongaFunafutiKiribati

AFTN+GTS 9.6 X.25

AFTN+GTS9.6 X.25

56 TCP/IP +19.2 X.25

128 TCP/IP

WashingtonTokyo

New Delhi

Kuala Lumpur

IMTN-MDCNFR 256

CIR<32>

IMTN-MDCNFR 256

CIR<32>

IMTN-MDCNFR 1.5 M

CIR<32/768>

FR 256CIR<8>

FR 64CIR<8>

FR 2MCIR<384>

FR 64CIR<16>

FR 64CIR<32>

FR 64CIR<8/4>

FR 192CIR<16>

NO

NO

Internet

Internet

Internet

Internet

Internet

FR 128CIR<32>

Via Toulouse

IMTN-MDCNFR 256

CIR<64>

RTH in Region V

NMC in Region V

Centre in other region

MTN circuitRegional circuitInterregional circuitAdditional circuit

Non-IP linkIP link

NO Not operational

FR Frame RelayCIR Committed Information Rate

FR 64CIR<16>

FR 64CIR<16>

Regional Meteorological Telecommunication Network for Region V (South-West Pacific)

point-to-point circuits implementation (transmission speed in kbit/s)

Page 15: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Regional Meteorological Telecommunication Network for Region VI (Europe)Figure 1 - point-to-point circuits implementation (transmission speed in kilobit/s)

Dublin

Tirana

Beirut

Washington

Nairobi

Cairo

New Delhi

Jeddah

Casablanca

TripoliTunis

Beijing

RTH

NMC

Centre in other region

MTN circuit

Regional circuit

Interregional circuit

Ljubljana

Athens

Brussels

Kishenev

Kiev

Tbilisi

Bucharest

HelsinkiOslo

Zagreb

WarsawMinsk

Malta

Amman

Bet Dagan

Reykjavik

SondreStormfjord

De Bilt

Lisbon

Budapest

Bratislava

Vilnius

Riga

Prague

Zurich

Damascus

Ankara

Larnaca

Khabarovsk

Novosibirsk

Tashkent

Tehran

64

64

64

64

9.6

2.4

9.6

Nairobi

0.05

64

19.2

0.05

7.2-28.8

0.050.05

0.164

9.6

9.6

0.2

NI

NI

NI

9.6

9.6

9.6

N/O

9.6NI

NI

Dakar

0.1

Beijing

FR 256 (CIR:64)

64

128

Hanoi

Almaty

Yerevan

Algiers

Madrid

2.4

32

8

32

16

16

256/128

16

24

48

64

64

32

64

8/16

8

8

16

16

16

8/3232/64

64

32

32/96

48/16

32/8

64/8

RMDCN Committed Information Rate

64

8

16/8

24/8

* The RMDCN circuit Helsinki - Tallinn is not yet in the RTMN plan, but replaces the former GTS connection of Tallinn

Belgrade

Exeter

Toulouse

Rome

Copenhagen

Norrköping

Vienna

Tallinn

19.2

ECMWF

16/8

16/64

Offenbach

16/8

64/8

16/8

128/64

19.2

NI

NI

N/O

64/8

Baku

8/16

64/8

Skopje

Moscow

Sofia

NI

N/ON/O

16/8

48

Melbourne

16

16/8

16/8

8

64

Page 16: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Exeter

Sofia

Network IINetwork II

Melbourne

Buenos Aires

TokyoBeijing

Nairobi

Washington

The Improved Main Telecommunication NetworkThe Improved Main Telecommunication Network

Network INetwork I

Jeddah

Prague

Toulouse

Dakar Algiers

Offenbach

Brasilia

Cairo

Managed data communication network

Point-to-point services

New Delhi

Moscow

Page 17: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

World Weather Watch Global Telecommunication System

(GTS)

GTS Network

Page 18: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

World Meteorologic

al Centres

WWW GTS

Regional/Specialized Meteorological

CentresNational

Meteorological

Centres

Meteorological and R&D Satellite Operator

Centres

Current GTSNational, Regional, Specialized, and World Meteorological Centres

Meteorological Satellite Operator Centres

Page 19: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Information management – Information exchange –

5 GAW World Data Centres

GCOS Data Centres

Global Run-off Data Centre

IRI and other climate research institutes

Universities

Regional Climate Centres

International Organizations (IAEA, CTBTO, UNEP, FAO.. )

Commercial Service

Providers

World Radiation Centre

Regional Instrument Centres

WMO World Data

Centres

common procedures; real-time and non-real timea few standard data formats; coordinated metadata and catalogues

Real-time “push”

On-demand “pull”

internet

DCPC

NMC/DCPC

NMCNMC

NMC/DPCP

NMC

NMC

NMC

NMC

NMC

NMC

GISC

GISCGISC

SatelliteTwo-Way System

Satellite Dissemination

NMC

NMC

DCPC

GISC GISC

DCPC

WISWIS

Page 20: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

WIS brings new features and opportunitiesWIS brings new features and opportunities

Common information exchange standards, functions and

services for all WMO programmes

Inter-disciplinary discovery, retrieval and exchange of information in real and non-real time

On-line catalogues using metadata based on ISO 19100 (geographic information standard)

Industry standards and off-the-shelf hardware and software systems to ensure cost-effectiveness and inter-operability

Common information exchange standards, functions and

services for all WMO programmes

Inter-disciplinary discovery, retrieval and exchange of information in real and non-real time

On-line catalogues using metadata based on ISO 19100 (geographic information standard)

Industry standards and off-the-shelf hardware and software systems to ensure cost-effectiveness and inter-operability

Interoperability of Information Systems

Page 21: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

GTS / WIS What does it offer?GTS / WIS What does it offer?

Top down, Bottom up?

Within the GTS we work from the middle out.

We provide the infrastructure & basis to enable all the combined activities we support to be effective!

The GTS/WIS can provide the middleware of an effective, sustained, reliable multi-hazard EWS as part of an integrated disaster risk management / reduction strategy!

Top down, Bottom up?

Within the GTS we work from the middle out.

We provide the infrastructure & basis to enable all the combined activities we support to be effective!

The GTS/WIS can provide the middleware of an effective, sustained, reliable multi-hazard EWS as part of an integrated disaster risk management / reduction strategy!

Page 22: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

GTS / WIS What does it offer?GTS / WIS What does it offer?

Data availability is a critical need both for local data getting “out” and “outside” data getting in!

These programs we are discussing simply will not be effective or sustainable without sound infrastructure – middleware!

The GTS/WIS today reaches out to and supports 187 countries and numerous organizations!

Data availability is a critical need both for local data getting “out” and “outside” data getting in!

These programs we are discussing simply will not be effective or sustainable without sound infrastructure – middleware!

The GTS/WIS today reaches out to and supports 187 countries and numerous organizations!

Page 23: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Key issueKey issue

iii) Challenges of developed and developing countries, related to resource requirements for development of warning communication and dissemination capabilities?

Don’t forget legacy technologies.

Low tech is often affordable tech as well as maintainable tech and often already exists.

Utilize existing capabilities while growing new ones.

Identify existing core capabilities and build to create sustainable EWS

iii) Challenges of developed and developing countries, related to resource requirements for development of warning communication and dissemination capabilities?

Don’t forget legacy technologies.

Low tech is often affordable tech as well as maintainable tech and often already exists.

Utilize existing capabilities while growing new ones.

Identify existing core capabilities and build to create sustainable EWS

Page 24: Symposium on Multi-Hazard Early Warning Systems for Integrated Disaster Risk Management Fred Branski, Team Leader for Data Management NOAA’s National Weather

Remember!Remember!For every:

1 Euro 1 Ringitt

1 Dollar 1 Rupee

1 Yen 1 Bhat

1 Franc 1 Rand

1 Ruple 1 Dinar Spent on pre-disaster preparedness

For every:

1 Euro 1 Ringitt

1 Dollar 1 Rupee

1 Yen 1 Bhat

1 Franc 1 Rand

1 Ruple 1 Dinar Spent on pre-disaster preparedness

The payback is 5 times in post disaster response costs.

The systems will pay for themselves.

More importantly we will save lives and property and reduce suffering.

The payback is 5 times in post disaster response costs.

The systems will pay for themselves.

More importantly we will save lives and property and reduce suffering.