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World Meteorological Organization Disaster Risk Reduction Programme By Maryam Golnaraghi, Ph.D. Chief of Disaster Risk Reduction Programme [email_address]
Global Distribution of Disasters Caused by Natural Hazards and their Impacts (1980-2007) Source:  EM-DAT: The OFDA/CRED International Disaster Database - www.em-dat.net - Université Catholique de Louvain - Brussels - Belgiumc 90%  of events,  70%  of casualties and  75%  of economic losses  are related to hydro-meteorological hazards . Economic  losses Loss of life Number of events
Conclusions from 4 th  International Panel on Climate Change Assessment Report:  Impacts, Adaptation and Vulnerability Increased risk of deaths and injuries by drowning in floods; Potential for movement of populations and infrastructure Likely Increased incidence of  extreme  high sea level Increased risk of deaths, injuries, water- and food-borne diseases; Disruption by flood and high winds; Potential for population migrations, loss of property Likely Intense  tropical cyclone  activity  increases Increased risk of food and water shortage Likely Area affected by  drought  increases Increased loss of life and property due to flooding, and  infectious, respiratory and skin diseases Very likely Increased frequency of  heavy precipitation  events Increased risk of heat-related mortality Very likely Increased frequency of  heat waves Major projected impacts Likelihood Phenomenon
Disaster Risk Reduction Strategic Foundation   WMO  Strategic Plan  2008-2011 Hyogo Framework for Action   2005-2015 WMO Strategic Goals  in Disaster Risk Reduction
WMO Disaster Risk Reduction Strategic Goals  ,[object Object],[object Object],[object Object],[object Object],[object Object],Implemented through national and regional development projects leveraging WMO and partners’ resources/expertise.
WMO  Action Plan  in Context of Disaster Risk  Management Framework  Derived from Hyogo Framework for Action 2005-2015 Risk Transfer Risk Identification Historical hazard data, analysis and changing hazard trends Exposed assets & vulnerability  Risk quantification PREPAREDNESS:  early warning systems, emergency planning and response capacities MITIGATION AND PREVENTION:  Medium to long term sectoral planning (e.g. building resilient infrastructure) CAT insurance & bonds Weather Risk Management Other emerging products Risk Reduction Information and Knowledge Sharing Education and training  Governance and  Organizational Coordination and Cooperation 1 2 3
Role of National Meteorological and Hydrological Services   in Risk Assessment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is an Effective  EarlyWarning System? Meteorological Hydrological Geological Marine Health (etc.) COORDINATION  AMONG NATIONAL SERVICES feedback feedback Community  Preparedness warnings National to local  governments  supported by  DRR plans, legislation  and coordination  mechanisms warnings feedback warnings preventive actions 1 2 3 4 5 5 3 3 5
Examples of Effective Early Warning Systems Warning Level 4 Level 3 Level 2 Level 1 France Vigilance System Bangladesh Cyclone Preparedness Programme Shanghai City: Multi-Hazard Early Warning and Emergency Response Programme Cuba Tropical Cyclone Early Warning System
Role of National Meteorological and Hydrological Services for  Financial Risk Transfer Markets ,[object Object],[object Object],[object Object],[object Object],[object Object]
Cooperation projects with partner agencies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Disaster Risk Reduction and Early Warning Systems Partnership Pilot Projects 2007 2009 2008 2010 2011 RA I RA II RA III RA IV RA V RA VI SWFDP/ South and Southeast /  Flash Flood Guidance End-to-end MHEWS Shanghai Multi Hazard-EWS DRR Pilot Central Asia and Caucasus: 7 countries (World Bank, UNDP, ISDR, WMO DRR Pilot South East Europe: 8 countries (World Bank, UNDP, ISDR, WMO DRR Pilot South East Asia: 5 countries (World Bank, UNDP, ISDR, WMO) Multi Hazard – EWS Pilot Central America:  3 countries (World Bank, UNDP, ISDR, WMO, NOAA, IFRC)
For more information please contact: Maryam Golnaraghi, Ph.D. Chief of Disaster Risk Reduction Programme World Meteorological Organization Tel. 41.22.730.8006 Fax. 41.22.730.8023 Email. MGolnaraghi@WMO.int   http://www.wmo.int/disasters Thank You

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WMO - Disaster Risk Reduction Programme

  • 1. World Meteorological Organization Disaster Risk Reduction Programme By Maryam Golnaraghi, Ph.D. Chief of Disaster Risk Reduction Programme [email_address]
  • 2. Global Distribution of Disasters Caused by Natural Hazards and their Impacts (1980-2007) Source: EM-DAT: The OFDA/CRED International Disaster Database - www.em-dat.net - Université Catholique de Louvain - Brussels - Belgiumc 90% of events, 70% of casualties and 75% of economic losses are related to hydro-meteorological hazards . Economic losses Loss of life Number of events
  • 3. Conclusions from 4 th International Panel on Climate Change Assessment Report: Impacts, Adaptation and Vulnerability Increased risk of deaths and injuries by drowning in floods; Potential for movement of populations and infrastructure Likely Increased incidence of extreme high sea level Increased risk of deaths, injuries, water- and food-borne diseases; Disruption by flood and high winds; Potential for population migrations, loss of property Likely Intense tropical cyclone activity increases Increased risk of food and water shortage Likely Area affected by drought increases Increased loss of life and property due to flooding, and infectious, respiratory and skin diseases Very likely Increased frequency of heavy precipitation events Increased risk of heat-related mortality Very likely Increased frequency of heat waves Major projected impacts Likelihood Phenomenon
  • 4. Disaster Risk Reduction Strategic Foundation WMO Strategic Plan 2008-2011 Hyogo Framework for Action 2005-2015 WMO Strategic Goals in Disaster Risk Reduction
  • 5.
  • 6. WMO Action Plan in Context of Disaster Risk Management Framework Derived from Hyogo Framework for Action 2005-2015 Risk Transfer Risk Identification Historical hazard data, analysis and changing hazard trends Exposed assets & vulnerability Risk quantification PREPAREDNESS: early warning systems, emergency planning and response capacities MITIGATION AND PREVENTION: Medium to long term sectoral planning (e.g. building resilient infrastructure) CAT insurance & bonds Weather Risk Management Other emerging products Risk Reduction Information and Knowledge Sharing Education and training Governance and Organizational Coordination and Cooperation 1 2 3
  • 7.
  • 8. What is an Effective EarlyWarning System? Meteorological Hydrological Geological Marine Health (etc.) COORDINATION AMONG NATIONAL SERVICES feedback feedback Community Preparedness warnings National to local governments supported by DRR plans, legislation and coordination mechanisms warnings feedback warnings preventive actions 1 2 3 4 5 5 3 3 5
  • 9. Examples of Effective Early Warning Systems Warning Level 4 Level 3 Level 2 Level 1 France Vigilance System Bangladesh Cyclone Preparedness Programme Shanghai City: Multi-Hazard Early Warning and Emergency Response Programme Cuba Tropical Cyclone Early Warning System
  • 10.
  • 11.
  • 12. Disaster Risk Reduction and Early Warning Systems Partnership Pilot Projects 2007 2009 2008 2010 2011 RA I RA II RA III RA IV RA V RA VI SWFDP/ South and Southeast / Flash Flood Guidance End-to-end MHEWS Shanghai Multi Hazard-EWS DRR Pilot Central Asia and Caucasus: 7 countries (World Bank, UNDP, ISDR, WMO DRR Pilot South East Europe: 8 countries (World Bank, UNDP, ISDR, WMO DRR Pilot South East Asia: 5 countries (World Bank, UNDP, ISDR, WMO) Multi Hazard – EWS Pilot Central America: 3 countries (World Bank, UNDP, ISDR, WMO, NOAA, IFRC)
  • 13. For more information please contact: Maryam Golnaraghi, Ph.D. Chief of Disaster Risk Reduction Programme World Meteorological Organization Tel. 41.22.730.8006 Fax. 41.22.730.8023 Email. MGolnaraghi@WMO.int http://www.wmo.int/disasters Thank You