oceanic forcing of sahel rainfall on interannual to interdecadal time scales
DESCRIPTION
IRI for climate prediction. Oceanic forcing of Sahel rainfall on interannual to interdecadal time scales. A. Giannini (IRI) R. Saravanan (NCAR) and P. Chang (Texas A&M). Reflections on : Seasonal climate prediction - sensitivity of climate to boundary conditions Recent trends in climate - PowerPoint PPT PresentationTRANSCRIPT
Oceanic forcing of Sahel rainfallon interannual to interdecadal time scales
A. Giannini (IRI)R. Saravanan (NCAR) and P. Chang (Texas A&M)
IRIfor climate prediction
Reflections on:
Seasonal climate prediction- sensitivity of climate to boundary conditions
Recent trends in climate- are they related to global warming?
r = 0.60
The model used is NSIPP1(version 1, NASA Seasonal to Interannual Prediction Project)
Bacmeister et al 2000; Moorthi and Suarez 1992;Koster and Suarez 1992; Takacs and Suarez 1996
nsipp.gsfc.nasa.gov
Results shown here are from the ensemble-meanof a 9-member ensemble of integrations
forced over 1930-2000 with:1) observed, interannually-varying
sea surface temperature (SST); 2) constant atmospheric CO2 (350ppm); and
3) vegetation cover prescribed to varyseasonally, but not interannually
Outline
-statistical analysis-local land-atmosphere dynamics-tropical ocean teleconnections
Statistical analysis
Principal Component Analysisof July-September precipitationover tropical Africa (1930-2000)
spatial signature of JAS African rainfall variabilityG
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temporal signature and relation to surface temperature
land-atmosphere interaction
precipitation surface temperature
vertically-integrated moisture convergence evaporation
surface temperature variability (1930-2000)
Land surface-atmosphere interaction acts to amplify remotely-forced precipitation anomalies:
-through local recycling of moisture, and -by modifying moisture convergence patterns
A negative trend in precipitation is consistentwith a positive trend in land surface temperature
forcing from the global oceans
(Sahel rainfall is sensitive to global, tropical SSTs)
long-term v. interannual variability
ENSO's impact on Northern Hemisphere summer climate
Ropelewski and Halpert 1987Yulaeva and Wallace 1994Chiang and Sobel 2002Neelin et al 2003
Long-term trends and African climate variability
Webster 1972Gill 1980Matsuno 1966
Response to diabatic heating in the equatorial Indian Ocean
Conclusions:
Variability in Sahel rainfall on interannual to interdecadal time scalesis strongly influenced by SST variability (ENSO and warming trends);
The current generation of state-of-the-art atmospheric general circulation models displays skill in the prediction of Sahel rainfallwhen forced with 'perfect' SST anomalies;
-how do we improve prediction of SSTs? (is it a coupled ocean-atmosphere problem?)
How do we incorporate consideration of climate trends, e.g.trends attributed to climate change, in our predictions?
What next?
How can we improve predictions of sea surface temperature?
How are the African and Indian monsoonsconnected?
How is global warming going to affecttropical rainfall?