Transcript PPT
Defining a List of Climate
Relevant Indicators:
World Bank Experience
Daniel Kull
Senior Disaster Risk Management Specialist
Global Facility for Disaster Reduction and Recovery (GFDRR)
World Bank
Geneva, 19 November, 2012
Categories of Indicators
•
•
•
•
•
•
Climate
Exposure to impacts
Resilience
GHG emissions & energy use
National-level actions
Carbon markets
Climate Indicators
Included:
• Temperature: historical averages, projected change
• Precipitation: historical averages, projected change
• Projected changes in hot & cold days/nights
Also Available:
• Geo-spatial historical climate data
• Future GCM and ensemble data
Mozambique example
4
Exposure to Impacts
• Land and population below 5 meters
• Population affected by droughts, floods, extreme
temperatures
• Urban population
• Fresh water access and irrigation
• Poverty: less than $1.25/day
• Health, malnutrition and disease incidence
Mozambique example
6
Resilience
• Access to improved sanitation, water sources
and electricity
• Cereal yields
• Paved roads
• Health workers per capita
• Foreign direct investment (FDI) and
infrastructure investment
• Ease of Doing Business ranking
• Education completion level; male/female ratio
Mozambique example
8
GHG emissions & energy use
• GHG emissions: total, per capita, per GDP/PPP
• GHG contributions (sinks) from forestry and land
use
• Energy use: per capita, per GDP
National Actions & Carbon Markets
• UNFCCC National Communication
• Emissions reduction pledges
• NAMA (Nationally Appropriate Mitigation Action)
submission
• NAPA (National Adaptation Program of Action)
submission
• Renewable energy target
• CDM projects & reductions
• Joint implementation projects (JI) and issued
emission reduction units (ERU)
Mozambique example
11
Parting thoughts…
• National climate change statistics for standard tracking
should allow at the minimum for a first level screening
of a country's climate change risks and exposure.
• This is needed both for adaptation and mitigation.
• For current adaptation efforts, disaster-related climate
change statistics are urgently needed to understand
variability and current/future losses: GDP loss from
extreme climate events, number of people affected,
number killed, etc.
• Globally these could ultimately be utilized to monitor any
potential Sustainable Development Goal(s) related to
disaster management, resilience and/or climate change
adaptation.
12