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Climate Change in Agrarian, Developing Countries David S. Battisti University of Washington

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Soil moisture feedbacks amplify the SST forced precipitation anomalies ... Global Climate models (AR4) forced over the 20th Century with the observed CO2 ... – PowerPoint PPT presentation

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Title: Climate Change in Agrarian, Developing Countries David S. Battisti University of Washington


1
Climate Change in Agrarian, Developing Countries
David S. Battisti University of Washington
  • A case study Climate variability and climate
    change in Africa over the 20th Century
  • Projections of climate at the end of the 21st
    Century
  • Regions where Climate Change will likely create
    stress
  • A case study the Sahel

2
Climate Change in Agrarian, Developing Countries
  • A case study Climate variability and climate
    change in Africa over the 20th Century
  • Climatology and people at risk
  • Long term drying trend in the Sahel
  • Projections of climate at the end of the 21st
    Century
  • Regions where Climate Change will likely create
    stress
  • A case study the Sahel

3
Annual Mean Precipitation
Regions where short term deficits lead to
agricultural stresses droughts and floods
Desert (30cm/yr)
4
Seasonal Mean Precipitation
Growing Season
Jan - Mar
July - Sept
5
Semi-arid regions are typically regions of large
climate variability
/- 20 of annual rainfall
For reference, the Dust Bowl is the US was a 8
annual precipitation deficit for seven years.
6
Decadal Variability in Sahel Precipitation
  • Precipitation in the Sahel is linked to Sea
    Surface Temperature changes (wetter is associated
    with lower SST in the S. Atlantic and Indian
    Oceans)
  • Atmospheric models reproduce the interannual
    variability and the drying trend when forced by
    observed SSTs
  • Soil moisture feedbacks amplify the SST forced
    precipitation anomalies
  • Land use change does not contribute to
    significantly to the drying trend in the Sahel

7
The 1950-1990 drying trend in the Sahel
Sahel JJA precipitation
  • Global Climate models (AR4) forced over the 20th
    Century with the observed CO2 and aerosol
    distribution simulate a drying trend in the Sahel
  • 18 of 19 models examined produce a drying trend
  • About half of the 1950-1990 drying trend is due
    to increasing CO2 and aerosols from fossil fuel
    burning
  • CO2 rich get richer, and so Sahel looses
  • Aerosols more emitted in NH than SH, so more
    cooling in the N. Atlantic than the S.
    Atlantic/Indian Ocean

1975-1999 minus 20th Century Ave. 2 std of
simulated 25yr ave variability
Obs
-5
0
-10
8
Climate Change in Agrarian, Developing Countries
  • A case study Climate variability and climate
    change in Africa over the 20th Century
  • Projections of climate at the end of the 21st
    Century (from IPCC 2007)
  • Focus on those changes that are very likely
    (i.e., those that are either deemed to have a
    greater than 90 chance to occur based on
    quantitative analysis or an elicitation of the
    expert views)
  • Regions where Climate Change will likely create
    stress
  • A case study the Sahel

9
Emission Scenarios
A2
A1B
B1
Emission Scenarios are created for all the major
anthropogenic greenhouse gases and for aerosols
(due to burning of fossil fuels and biomass)
10
A2
A1B
B1
11
Global Annual Average Surface Temperature
Referenced to the 1980-1999 Average
Temperature Solid lines average of all models
used. Number of models used varies shaded area
is the standard deviation of the models
12
Projected Annual Average Surface Temperature
Change 2080-2099 minus 1980-1999
Average of 21 climate models forced by Scenario
A1B. Multiply by 1.2 for A2 and 0.7 for B1
13
Extreme Seasonal Temperatures(from NCEP
reanalysis 1948-2006)
JJA
14
Projected Annual Average Precipitation
2080-2099 minus 1980-1999
Scenario A1B
There is a robust drying of the subtropics,
20-35NS.
Stippling is where the multimodel average change
exceeds the standard deviation of the models
15
Projected Soil Moisture Change 2080-2099
minus 1980-1999
Scenario A1B
16
Projected Hydrologic Changes 2080-2099 minus
1980-1999
Scenario A1B
17
Climate Change in Agrarian, Developing Countries
  • A case study Climate variability and climate
    change in Africa over the 20th Century
  • Projections of climate at the end of the 21st
    Century
  • Regions where Climate Change will likely create
    stress
  • A case study the Sahel

18
Projected Changes in Africa 2080-2099 minus
1980-1999
All 21 models project a warming throughout the
continent. The average across all models shows an
increase of 2.5C in wet coastal areas to more
than 4C in the desert regions.
Scenario A1B
19
Projected Changes in Africa 2080-2099 minus
1980-1999
Drying in Northern Southern Africa projected by
more than 16 of 21 models 10-15 of annual mean
in S. Africa 20-30 in N. Africa (regions that
are marginal for agriculture today). About 20
wetter in E. Africa The models diverge for the
Sahel half the models show drying
20
Central Asia 20th Century Climatology
21
The recent 1998-2001 drought in Central Asia
30 annual mean precip deficit
20
Precip Anomaly (mm/month)
0
- 20
22
The recent 1998-2001 drought in Central Asia
  • Iran 80 of livestock lost
  • 35 - 75 reduction in wheat barley
  • Afghanistan 40 of livestock lost
  • Pakistan 50 of livestock lost
  • Tajikistan 50 of grain crop lost

23
Projected Changes in Central Asia 2080-2099
minus 1980-1999
Drying in Central Asia and Southern Europe ( 10
- 25 of annual mean precip)
Scenario A1B
24
Climate Change in Agrarian, Developing Countries
  • A case study Climate variability and climate
    change in Africa over the 20th Century
  • Projections of climate at the end of the 21st
    Century
  • Regions where Climate Change will likely create
    stress
  • A case study the Sahel

25
Projected Sahel precipitation (JAS)
MIROC3.2
Simulated in two climate models (Emission
Scenario A1B)
Fraction of 20th Century annual averaged
precipitation
CM2.1
Lu and Held (2006)
26
Summary
At the end of this Century (2070 - 2100), the
climate will be very different from the present
climate
  • Everywhere it will be warmer
  • In most places, the seasonally averaged
    temperature will exceed the top 5 of the warmest
    years in the past century.
  • In many places (e.g., the tropics and
    subtropics), the seasonally averaged temperature
    will exceed the warmest year on record.
  • Impacts reduced yields, impact on disease
    transmission rates, loss of glaciers (water
    availability and timing)

27
Summary (cont)
  • In general, countries in the subtropics will
    experience large changes in precipitation by the
    end of the 21st Century
  • Typically a 10 - 20 reduction in annual mean
    precipitation
  • Increased frequency, duration and intensity of
    drought in subtropics and midlatitudes
  • Many of these regions are presently marginal for
    agriculture (precip limited)
  • Other climate changes of concern to agriculture
  • Sea level rise about 35cm by 2100
  • Increase in flooding in midlatitudes and tropics
    (increase intensity of precipitation on drier
    soils)
  • In wet tropical places, increases in temperature
    and precipitation should change patterns of
    disease and pests

28
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29
Projected Changes in the Caribbean 2080-2099
minus 1980-1999
Drier in the Caribbean by 10-30, depending on
the season (projected by 17 of 21 models)
Drier throughout Central America (5-15 in the
annual mean not shown)
Scenario A1B
30
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31
Africa and Short term Climate Prediction
  • El Nino/Southern Oscillation (ENSO) is a
    phenomenon that is intrinsic to the climate
    system
  • ENSO causes precipitation anomalies across Africa
  • regional and seasonal dependence
  • greatest impact during the growing season
  • likely impacts disease transmission (malaria,
    cholera)
  • ENSO -- and therefore the ENSO-related climate
    anomalies in Africa -- are predictable several
    seasons in advance.

32
El Nino/Southern Oscillation (ENSO)
Warm events return every 2-7 years, and tend to
peak in winter
Warm Event (El Nino)
Cold Event (La Nina)
33
El Nino/Southern Oscillation (ENSO)
  • ENSO is a natural pattern of climate variability
    that is due to tight coupling between the
    atmosphere and ocean.
  • Small changes in the distribution of sea surface
    temperature are coordinated with changes in
    atmospheric circulation and rainfall patters.
  • The changed rainfall patterns in the tropics
    force atmospheric circulation changes that affect
    climate world-wide.

Temperature Anomalies
Regions of active physics
Precipitation Anomalies
34
ENSO is Predictable
Skill of ENSO Forecasts 1965-1993
  • ENSO is a true mode of the coupled
    atmosphere/ocean system (e.g., patterns of
    oscillation in a guitar string)
  • The long period (3-4 years) of the ENSO mode
    allows for skillful seasonal climate forecasts
    (2-4 seasons in advance)
  • Skill depends on start month

Model Forecast
Persistence
35
Examples of Applications of Seasonal Forecast
(based on ENSO)
  • Yaqui Valley - Mexico
  • Winter precipitation and reservoir inflow
    potentially in-field precipitation health of
    grazing lands
  • Indonesia
  • Rice production
  • Hurricane Forecasts
  • Frequency and intensity (Atlantic and Pacific)
  • Florida
  • Frost and citrus crops
  • Pacific Northwest
  • Snow pack and hydropower, flood events,
    recreation, stream flow, etc.

36
ENSO forced precipitation anomalies over Africa
Correlations of /- 0.35 are significant at 99
  • Predictable anomalies are during the growing
    seasons
  • Using Atlantic SST, summer precipitation in the
    Gulf of Guinea is predictable one season in
    advance (r 0.6-0.7)

37
The 1950-1990 drying trend in the Sahel
Sahel JAS precipitation
  • Global Climate models(AR4) forced over the 20th
    Century with the observed CO2 and aerosols
    distribution reproduce the observed drying trend
    in the Sahel
  • 18 of 19 models examined reproduce the drying
    trend
  • About half of the 20th Century drying trend is
    due to increasing CO2 and aerosols from fossil
    fuel burning
  • CO2 rich get richer, and so Sahel looses
  • Aerosols more emitted in NH than SH, so more
    cooling in the N. Atlantic than the S.
    Atlantic/Indian Ocean

Observed Simulated (CM2.0) 1 std of ensemble AMIP
results
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