1. Global Risk Identification Program: Data and technical assistance needs
DPM First Coordination Meeting
of WMO Programmes and Constituent Bodies
Maxx Dilley
Policy Advisor
UNDP Bureau for Crisis Prevention and Recovery

2. Outline The role of evidence in disaster risk management
Global Risk Identification Program (GRIP)
Hydrometeorological data and technical support inputs
Summary

3. Strategic Alignment
Identification of high risk areas and risk factors that cause disasters (foreseeable risk)
Hyogo Framework for Action Priority 2
Identify, assess and monitor disaster risks
UNDP/BCPR Strategy for Disaster Prevention
common understanding of crises established
joint stakeholder risk assessment conducted

4. Strategic Alignment Global Facility for Disaster Risk Reduction
service line 1: analytical and advisory services
risk identification
service line 2: institutional capacity building
national risk and loss information & applications
service line 3: training and capacity building
IABD Disaster Prevention Sector Facility
risk identification and forecasting to understand and quantify vulnerability and disaster risk

5. Global Risk Identification Program

6. GRIP Outcome Areas Global Update Demonstrations: Mozambique Sri Lanka
and approximate numbers of
associated project activities
Global
Update
Demonstrations:
Mozambique
Sri Lanka
Nicaragua
4-5
6-12
Data improvement
Risk info platform
Methods
Publication
Capacity
Core
1-3
Development
4-5
High
Resolution
Risk Analyses
In High Risk
Countries
Loss
Data
1-3
Loss data portal
GLIDE
Databases
Assessments
4-7
Criteria:
1. Risk outcome
2. Decision support
3. Scientific
4. Local experts/authorities
10-15

7. Global drought and flood data sets
Global hazard data
Global drought and flood data sets

8. Application and problem
Global risk update
Drought and flood hazard data sets are the most important and the weakest of all hazards!

15. Disaster loss event databases
Hazard identification and GLIDE

16. Application and problem
Tracking disaster losses
Lack of authoritative attribution of hazard involved
Lack of consistent hazard event identification

17. Disaster Loss Data

18. Disaster Loss Data

20. Risk management decision-support in high risk situation
Example priority countries

21. Application and problem
Problem identification and national disaster risk management strategy development
Decision support for specific risk management measures (e.g. index insurance, early warning)
Integration of hazard information into risk analyses
Capacity development!

22. Priority countries identified February 2006 based on:
risk level
PSC priorities
feasibility
region/hazard mix

24. Needs summary small scale (global) [2007]
flood hazard, historical/on-going
drought hazard, historical/on-going
large scale (priority countries)
all-hazard identification and reporting (GLIDE)
hazard inputs for risk identification
national risk atlases for strategy development
specialized risk management decision-support