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Climate Change Adaptation in Northern Ethiopia

                        Polly Ericksen (ILRI)
Stakeholders’ Workshop on Enhancing Communities’ Adaptive Capacity to Climate
     Change Induced Water Scarcity in Kabe Watershed, South Wollo Zone
           Wollo University, Dessie, Ethiopia, 24-25 November 2011
Climate variability already a constant
• East Africa characterized by high CV rainfall
  annually and seasonally
• Evidence in N. Ethiopia farmers abandoning
  belg crops
• Droughts and water stress affect both
  livestock and crops
• Bi-modal distribution means seasonal
  distribution more important than annual
  averages
Recent Climate Trends in East Africa

Temperature

• Mean annual temperature increased by 1.0°C since 1960
   • Most rapid in March-May (0.29°C per decade)
   • Slowest in June-September (0.19°C per decade)

• Increasing frequency of hot days, and more frequent hot nights
     • Number of ‘hot’ days per year increased by since 1960 (especially in
     March-May)
     • Number of ‘hot’ nights per year increased especially in September-
     November

Rainfall

• Met station data show no statistically significant trends since 1960

• More rainfall occurring in heavy events
Climate Change
Image of
the Future
Climate Change Scenarios
Downscaling GCMs for impact /
          exposure analysis
• Use ensembles of “equally-likely” combinations of climate model +
emissions scenario  mean response and s.e. of response

• Downscale spatially, from 2° lat-long grids to a more useful
resolution (e.g. 9-km grids)

• Downscale temporally from long-term climatology to characteristic
daily weather data

    Use MarkSim as a GCM downscaler: difference interpolation +
    stochastic downscaling + weather typing

     Generate exposure indicators based on daily data
Future Climate Trends in East Africa

Different climate models project different trends
Temperature
• Mean annual temperature may increase 1.0 - 2.8°C by the 2060s, and 1.3 -
5.5°C by the 2090s
• Models agree on increases in frequency of ‘hot’ days and nights
• Models agree on decreases in frequency of ‘cold’ days and nights (these
essentially disappear by the 2090s)

Precipitation
• Most models indicate increases in annual rainfall in northern part of EA
(up to 48% by the 2090s), and more in heavy events
• Projected increases largest in October-December (up to 49 m per month)
but this depends upon El Niño. Possible drying in June to August.

Changes in variability
• Variability projected to increase, butare few details
• Wide disagreement in projected changes in El Niño events (and hence
OND)
Changes in maximum temperature
Changes in growing periods
Climate change exposure: changes in
          rain per rainfall event




Ericksen et al, 2011
Adaptation to climate change
• More than just buffering against vulnerability
• Shifting strategies in face of changes (with no
  precedent) but continuing to develop
• Climate “smart” agriculture
  – Resilience to shocks
  – Greater resource use efficiency
• Also, avoidance of negative feedbacks or “mal-
  adaptation”, including increased inequity
Adaptive capacity
• More forward looking and pro-active than
  coping
• Ability to change or reorganize strategies to
  diminish risk and prepare for new ones
• Depends upon
  – Resources and ability to access and use them
  – Removal of external constraints to adapt
  – Free flow of information
Adaptation research priorities
• What are people’s NEEDS for rainfall to
  support their livelihoods?
• What innovations can we support NOW?
• Support “no regrets” options
• Constraints on adaptive capacity.. E.g.
     • Lack of safety nets
     • Markets
     • Land tenure
• SCENARIOS as a planning tool
SCENARIO STORY LINES
                                       Millennium Ecosystem Assessment
                                                        World Development
                                          Globalization               Regionalization
Environmental Management

                           Reactive




                                        Global Orchestration             Order from Strength
                           Proactive




                                           TechnoGarden                    Adapting Mosaic
                                         Source: Millennium Ecosystem Assessment (2006)

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Climate change adaptation in northern Ethiopia

  • 1. Climate Change Adaptation in Northern Ethiopia Polly Ericksen (ILRI) Stakeholders’ Workshop on Enhancing Communities’ Adaptive Capacity to Climate Change Induced Water Scarcity in Kabe Watershed, South Wollo Zone Wollo University, Dessie, Ethiopia, 24-25 November 2011
  • 2. Climate variability already a constant • East Africa characterized by high CV rainfall annually and seasonally • Evidence in N. Ethiopia farmers abandoning belg crops • Droughts and water stress affect both livestock and crops • Bi-modal distribution means seasonal distribution more important than annual averages
  • 3. Recent Climate Trends in East Africa Temperature • Mean annual temperature increased by 1.0°C since 1960 • Most rapid in March-May (0.29°C per decade) • Slowest in June-September (0.19°C per decade) • Increasing frequency of hot days, and more frequent hot nights • Number of ‘hot’ days per year increased by since 1960 (especially in March-May) • Number of ‘hot’ nights per year increased especially in September- November Rainfall • Met station data show no statistically significant trends since 1960 • More rainfall occurring in heavy events
  • 6. Downscaling GCMs for impact / exposure analysis • Use ensembles of “equally-likely” combinations of climate model + emissions scenario  mean response and s.e. of response • Downscale spatially, from 2° lat-long grids to a more useful resolution (e.g. 9-km grids) • Downscale temporally from long-term climatology to characteristic daily weather data Use MarkSim as a GCM downscaler: difference interpolation + stochastic downscaling + weather typing  Generate exposure indicators based on daily data
  • 7. Future Climate Trends in East Africa Different climate models project different trends Temperature • Mean annual temperature may increase 1.0 - 2.8°C by the 2060s, and 1.3 - 5.5°C by the 2090s • Models agree on increases in frequency of ‘hot’ days and nights • Models agree on decreases in frequency of ‘cold’ days and nights (these essentially disappear by the 2090s) Precipitation • Most models indicate increases in annual rainfall in northern part of EA (up to 48% by the 2090s), and more in heavy events • Projected increases largest in October-December (up to 49 m per month) but this depends upon El Niño. Possible drying in June to August. Changes in variability • Variability projected to increase, butare few details • Wide disagreement in projected changes in El Niño events (and hence OND)
  • 8. Changes in maximum temperature
  • 10. Climate change exposure: changes in rain per rainfall event Ericksen et al, 2011
  • 11. Adaptation to climate change • More than just buffering against vulnerability • Shifting strategies in face of changes (with no precedent) but continuing to develop • Climate “smart” agriculture – Resilience to shocks – Greater resource use efficiency • Also, avoidance of negative feedbacks or “mal- adaptation”, including increased inequity
  • 12. Adaptive capacity • More forward looking and pro-active than coping • Ability to change or reorganize strategies to diminish risk and prepare for new ones • Depends upon – Resources and ability to access and use them – Removal of external constraints to adapt – Free flow of information
  • 13. Adaptation research priorities • What are people’s NEEDS for rainfall to support their livelihoods? • What innovations can we support NOW? • Support “no regrets” options • Constraints on adaptive capacity.. E.g. • Lack of safety nets • Markets • Land tenure • SCENARIOS as a planning tool
  • 14. SCENARIO STORY LINES Millennium Ecosystem Assessment World Development Globalization Regionalization Environmental Management Reactive Global Orchestration Order from Strength Proactive TechnoGarden Adapting Mosaic Source: Millennium Ecosystem Assessment (2006)

Notas do Editor

  1. Points: IPCC, GCM downscaling; three impacts: temperature, change in precip, more CO2.