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Finding Synergies Between Adapting To Climate Change and Mitigation

Climate Information
for

Mitigation and Adaptation
Walter E. Baethgen
Head, Regional and Sectorial Research Program
IRI, The Earth Institute, Columbia University
Walter E. Baethgen 2013
Planning, Decision Making, Policy Making

Adaptation to What?
What Can We Expect?
What Mitigation options
are likely to succeed?
(REDD+, NAMAs, CDM)

Information on Future Climate
Walter E. Baethgen 2013
Future Climate Scenarios: Using Climate Models (GCMs)
Complex models that simulate physical processes in the atmosphere, oceans and land
Models are getting better

Walter E. Baethgen 2013
Anomalies (mm/month)

Climate Models: Simulating Past Observed Climate
Example: SE South America SONDJF

IPCC Model Range and Mean

Walter E. Baethgen 2013
Anomalies (mm/month)

Climate Models: Simulating Past Observed Climate
Example: SE South America SONDJF

Observed

IPCC Model Range and Mean

Walter E. Baethgen 2013
Future Climate Scenarios: Using Climate Models (GCMs)

1.

Great advances in science,
but still lots to understand:
Uncertainties due to Models

2.

Key Input:
GHG Emissions

Assumptions:
(e.g., in 2080-2100)

Technologies?
Energy Sources?
Deforestation rates?
Population?

Uncertainties
(IPCC Scenarios)

Walter E. Baethgen 2013
Future Climate and Socioeconomic Scenarios
1000
900

CO2 ppm

800

A1B
A1F

700

A2
600

B1

500

B2

400
300
1980

2000

2020

2040

2060

2080

2100

CO2 atmospheric
concentration for
different
development options

Walter E. Baethgen 2013

In AR5: Radiative Forcing Values
(similar assumptions)
Source: IPCC, 2001
Expected Global Temperature
For Different Socioeconomic Scenarios
(Reference: 1986 – 2005)

Uncertainty

Source: IPCC, 2013 (Draft)

Walter E. Baethgen 2013
For Precipitation Uncertainties are Much Larger
Example in East Africa: 90% of the Climate Models agree it will become wetter
Individual Model Runs and Averages

+25%

-10%
East Africa

All scenarios
have equal
chances

This is for large “Windows”
At Local level Uncertainties are much larger

Walter E. Baethgen 2013

Giannini et al., 2007
Conclusion: Climate Change Scenarios are Uncertain
IPCC’s objective was not to create scenarios for impact assessment
However: Published articles with Crop Yield Projections

2020
Percent change in Crop Yields
for one climate change scenario

PROBLEM:
This is easily understood
Can be “erroneously” believed
Maladaptation / “Malmitigation”

2050

2080

Walter E. Baethgen 2013

Uncertainty?
Climate Change Scenarios and Decision Makers:
Decision Makers (including Policy Makers):
Pressure to act on immediate to short-term problems
Scientific Community: Scenarios for 2080, 2100
Great for Public Awareness, but CC is a problem of the FUTURE
CC scenarios: Uncertainty at regional / local level is large

Result:
CC is often not in the policy agendas, planning

Walter E. Baethgen 2013
We Need New Approaches:
1. Different Temporal Scales of Climate Variability
Sahel: Annual Precipitation
Annual Precipitation over the Sahel
700
650
Observed

Interannual Variability
290mm from one year to next

600

Rainfall (mm)

550

55%

500

Decadal Variability
250mm in 20 years

450
400

“Climate Change”
180mm in 100 years

350
300
250

Most of the world:
65% - 20% - 15%
Int - Dec - CC

200
1900

1920

1940

1960
Walter E. Baethgen 2013

1980

2000

27%

18%
Initial Thoughts
Scenarios based exclusively on Climate Models are uncertain
(worse for precipitation, worse at regional, even worse at local)

Scenarios focusing only in “trends” (Climate Change) miss critical
Information on Climate Variability that can affect Adaptation
and Mitigation efforts (e.g., Interannual, Decadal Variability)

The majority of the total climate variability is found in the
Interannual temporal scale (60-80%)

Walter E. Baethgen 2013
A Complementary Approach to “Traditional” Climate Change:
Climate Risk Management
Climate Change is a problem of the PRESENT (happening already)
as opposed to a problem of the FUTURE
Some of the most damaging impacts of Climate Change are expected to be
due to increased Climate Variability (droughts, floods, fires, storms)
Start by improving adaptation to current climate variability
Mitigation options should be planned for the “long term”, but one large
event (e.g., fire) may destroy all the efforts (i.e., consider interannual
variability, climate risks)

Future Climate: Work in “Near-term” Climate Change (i.e., 10-30 years)
-Establish a range of plausible future climate scenarios (with Decadal and Interannual)
-Connect to Models: Crops, Carbon, Forestry (MITIGATION and ADAPTATION)
-Identify interventions with highest chances of success
Walter E. Baethgen 2013
Final Comments
Climate Risk Management and Adaptation to Climate Change
•Improve Adaptation to Future Climate starting by Improving Adaptation to TODAY’S Climate
•Adapt with flexibility: range of plausible climates  interventions most likely to succeed

Climate Risk Management and Mitigation of Climate Change
•Mitigation efforts are also subject to Climate related Risks
•Long-term Mitigation efforts can be hampered by short-term climate variability
•Mitigate with flexibility: range of plausible climates  interventions most likely to succeed

Science-based Resources to Inform Policy
•Integrate Climate Information into Decision Support Systems, considering Uncertainties

Understandable and Actionable!

Walter E. Baethgen 2013
Thank you

Walter E. Baethgen
Head, Regional and Sectorial Research Program
Leader, Latina America and Caribbean
IRI, The Earth Institute at Columbia University

Tel: (845) 680-4459
email:
Internet:

baethgen@iri.columbia.edu
http://iri.columbia.edu/

Walter E. Baethgen 2013

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Climate Information for Mitigation and Adaptation

  • 1. Finding Synergies Between Adapting To Climate Change and Mitigation Climate Information for Mitigation and Adaptation Walter E. Baethgen Head, Regional and Sectorial Research Program IRI, The Earth Institute, Columbia University Walter E. Baethgen 2013
  • 2. Planning, Decision Making, Policy Making Adaptation to What? What Can We Expect? What Mitigation options are likely to succeed? (REDD+, NAMAs, CDM) Information on Future Climate Walter E. Baethgen 2013
  • 3. Future Climate Scenarios: Using Climate Models (GCMs) Complex models that simulate physical processes in the atmosphere, oceans and land Models are getting better Walter E. Baethgen 2013
  • 4. Anomalies (mm/month) Climate Models: Simulating Past Observed Climate Example: SE South America SONDJF IPCC Model Range and Mean Walter E. Baethgen 2013
  • 5. Anomalies (mm/month) Climate Models: Simulating Past Observed Climate Example: SE South America SONDJF Observed IPCC Model Range and Mean Walter E. Baethgen 2013
  • 6. Future Climate Scenarios: Using Climate Models (GCMs) 1. Great advances in science, but still lots to understand: Uncertainties due to Models 2. Key Input: GHG Emissions Assumptions: (e.g., in 2080-2100) Technologies? Energy Sources? Deforestation rates? Population? Uncertainties (IPCC Scenarios) Walter E. Baethgen 2013
  • 7. Future Climate and Socioeconomic Scenarios 1000 900 CO2 ppm 800 A1B A1F 700 A2 600 B1 500 B2 400 300 1980 2000 2020 2040 2060 2080 2100 CO2 atmospheric concentration for different development options Walter E. Baethgen 2013 In AR5: Radiative Forcing Values (similar assumptions) Source: IPCC, 2001
  • 8. Expected Global Temperature For Different Socioeconomic Scenarios (Reference: 1986 – 2005) Uncertainty Source: IPCC, 2013 (Draft) Walter E. Baethgen 2013
  • 9. For Precipitation Uncertainties are Much Larger Example in East Africa: 90% of the Climate Models agree it will become wetter Individual Model Runs and Averages +25% -10% East Africa All scenarios have equal chances This is for large “Windows” At Local level Uncertainties are much larger Walter E. Baethgen 2013 Giannini et al., 2007
  • 10. Conclusion: Climate Change Scenarios are Uncertain IPCC’s objective was not to create scenarios for impact assessment However: Published articles with Crop Yield Projections 2020 Percent change in Crop Yields for one climate change scenario PROBLEM: This is easily understood Can be “erroneously” believed Maladaptation / “Malmitigation” 2050 2080 Walter E. Baethgen 2013 Uncertainty?
  • 11. Climate Change Scenarios and Decision Makers: Decision Makers (including Policy Makers): Pressure to act on immediate to short-term problems Scientific Community: Scenarios for 2080, 2100 Great for Public Awareness, but CC is a problem of the FUTURE CC scenarios: Uncertainty at regional / local level is large Result: CC is often not in the policy agendas, planning Walter E. Baethgen 2013
  • 12. We Need New Approaches: 1. Different Temporal Scales of Climate Variability Sahel: Annual Precipitation Annual Precipitation over the Sahel 700 650 Observed Interannual Variability 290mm from one year to next 600 Rainfall (mm) 550 55% 500 Decadal Variability 250mm in 20 years 450 400 “Climate Change” 180mm in 100 years 350 300 250 Most of the world: 65% - 20% - 15% Int - Dec - CC 200 1900 1920 1940 1960 Walter E. Baethgen 2013 1980 2000 27% 18%
  • 13. Initial Thoughts Scenarios based exclusively on Climate Models are uncertain (worse for precipitation, worse at regional, even worse at local) Scenarios focusing only in “trends” (Climate Change) miss critical Information on Climate Variability that can affect Adaptation and Mitigation efforts (e.g., Interannual, Decadal Variability) The majority of the total climate variability is found in the Interannual temporal scale (60-80%) Walter E. Baethgen 2013
  • 14. A Complementary Approach to “Traditional” Climate Change: Climate Risk Management Climate Change is a problem of the PRESENT (happening already) as opposed to a problem of the FUTURE Some of the most damaging impacts of Climate Change are expected to be due to increased Climate Variability (droughts, floods, fires, storms) Start by improving adaptation to current climate variability Mitigation options should be planned for the “long term”, but one large event (e.g., fire) may destroy all the efforts (i.e., consider interannual variability, climate risks) Future Climate: Work in “Near-term” Climate Change (i.e., 10-30 years) -Establish a range of plausible future climate scenarios (with Decadal and Interannual) -Connect to Models: Crops, Carbon, Forestry (MITIGATION and ADAPTATION) -Identify interventions with highest chances of success Walter E. Baethgen 2013
  • 15. Final Comments Climate Risk Management and Adaptation to Climate Change •Improve Adaptation to Future Climate starting by Improving Adaptation to TODAY’S Climate •Adapt with flexibility: range of plausible climates  interventions most likely to succeed Climate Risk Management and Mitigation of Climate Change •Mitigation efforts are also subject to Climate related Risks •Long-term Mitigation efforts can be hampered by short-term climate variability •Mitigate with flexibility: range of plausible climates  interventions most likely to succeed Science-based Resources to Inform Policy •Integrate Climate Information into Decision Support Systems, considering Uncertainties Understandable and Actionable! Walter E. Baethgen 2013
  • 16. Thank you Walter E. Baethgen Head, Regional and Sectorial Research Program Leader, Latina America and Caribbean IRI, The Earth Institute at Columbia University Tel: (845) 680-4459 email: Internet: baethgen@iri.columbia.edu http://iri.columbia.edu/ Walter E. Baethgen 2013