Transcript Document

CLIMAG
LESSONS LEARNED AND
FUTURE CHALLENGES
A CLIMATE SCIENCE
PERSPECTIVE
By
Hartmut Grassl
Max Planck Institute for Meteorology
Hamburg, Germany
A CLIMATE SCIENCE PERSPECTIVE
1) Short History
• 1979 First World Climate Conference in Geneva
“WE NEED A WORLD CLIMATE PROGRAMME”
• 1980 WMO and ICSU started the
WORLD CLIMATE RESEARCH PROGRAMME
• 1985 TOGA started and brought the breakthrough to some skill for
SEASONAL CLIMATE ANOMALY PREDICTIONS FOR
ENSO AFFECTED REGIONS
• 1994 End of TOGA, its legacy:
APPLY PREDICTIONS FOR AGRICULTURE
• 1995 & 1996 Plea for application in agriculture by the JSC of WCRP
LAUNCH OF THE IDEA OF CLIMAG
• 1998 START cares for the “baby”
• 1999 First CLIMAG Workshop, WMO, Geneva
A CLIMATE SCIENCE PERSPECTIVE
2) Variability of Present Climate and Climate Change are Linked
Climate change will bring changed frequency distributions of all
climate parameters.
Examples:
1) Precipitation amount per event has increased in all areas with
stagnant or increasing total amount but also at slightly less
total
amount
2)
Daily temperature amplitudes shrank for most land climates
3)
Temperature frequency distributions show a tendency to broaden
Coping with climate variability thus means learning to adapt to
climate change
A CLIMATE SCIENCE PERSPECTIVE
3) Predictions Should Add Information on Changed Frequency Distributions
Extreme weather probabilities change more strongly than means of, e.g.,
precipitation. Therefore, predictions have to add estimates of changed
probabilities for extremes or high impact weather. This can be achieved
by searching for frequency distributions tailored to the circulation
patterns distribution prevailing during the prediction period.
4) New and/or Better Existing Observational Networks are the Drivers of
Model Improvement and thus of Improved Climate Anomaly Predictions
At least the observation of upper ocean structure, sea ice cover, soil
moisture and snow water equivalent are required for the full exploitation
of predictability on intra-seasonal, seasonal and interannual time scales.
The best promotion of predictions is higher skill.
progress envisaged:
• full implementation of ARGO
• launch of SMOS by ESA in 2006
• integrated European projects
• launch of Aquarius by NASA
A CLIMATE SCIENCE PERSPECTIVE
5) The gap between medium range weather forecasts and seasonal
predictions has to be closed, especially through soil moisture and snow
water equivalent information. In most applications onset of rains or
length of dry spell is the key information needed.
6) Evaluation of Forecast Skill by WCRP
Model performance is differing strongly between empirical, hybrid and
high resolution coupled models. Therefore, we have to perform model
intercomparisons and prediction skill evaluations by a neutral moderator,
e.g. WCRP’s CLIVAR project.
7) CLIMAG is more important to developing countries as skill is higher in
tropical areas, agriculture’s share of GDP is larger and vulnerability to
climate variability is often high.
8) Climate Science is detecting possibilities to extend predictions of
anomalies reaching into the decadal time scale by higher resolution global
coupled models. COPES will try to detect the predictability level.
A CLIMATE SCIENCE PERSPECTIVE
9) CLIMAG can be seen as the pilot project for the agricultural part of the
seamless climate prediction envisaged under COPES (Co-ordinated
Observation and Prediction of the Earth System), now started by WCRP.
10) CLIMAG, through START and IRI, was a small inter-programme
project, which may have gone unnoticed by the parent organizations
(IGBP, WCRP, IHDP) to some extent. ESSP should acknowledge this
early contribution to GECAFS and set the stage for continuation on
larger scale.
11) All inter- and transdisciplinary research needs robust infrastructures, i.e.
combined sponsorship of NGO(s) and intergovernmental institutions.
12) There is no clear separation between research results and later operational
applications. All global change research is policy relevant and can get
immediate application. Hence GECAFS, WMO and FAO have to join
their efforts.