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Content archived on 2024-04-15

MODELLING OF CLIMATE VARIABILITY ON INTERANNUAL TIME-SCALES

Objective

TO INVESTIGATE MODEL AND PREDICT THE GLOBAL CLIMATE VARIATIONS AT A TIMESCALE OF MONTHS TO SEVERAL YEARS.

THE METEOROLOGISCHES INSTITUT DER UNIVERSITAT HAMBURG (MI) WILL JOIN A MAJOR MULTI-NATIONAL SCIENTIFIC PROGRAMME WITH THE OBJECTIVE OF STUDYING, MODELLING AND FORECASTING GLOBAL CLIMATE VARIATIONS ON TIME-SCALES OF A MONTH TO SEVERAL YEARS.
TWO MAIN SOURCES OF CLIMATE VARIATIONS AT THESE TIME-SCALES ARE THE EL NINO/SOUTHERN OSCILLATION (ENSO) AND THE INTERACTION OF ATMOSPHERE, OCEAN AND SEA-ICE IN THE NORTH ATLANTIC (NAC). IN ORDER TO STUDY SUCH COMPLEX INTERACTIVE SYSTEMS A HIERARCHY OF NUMERICAL COUPLED OCEAN-ATMOSPHERE MODELS OF VARYING DEGREES OF COMPLEXITY IS BEING DEVELOPED.
IN THE FOLLOWING, THE CONTRIBUTION OF MI TO THE JOINT PROGRAMME IS OUTLINED.

THE ATMOSPHERIC MODEL. AT MI THE ECMWF T21 ATMOSPHERIC FORECASTING MODEL HAS BEEN RECORDED FOR A CYBER 205 COMPUTER. CLIMATE SIMULATIONS ARE CARRIED OUT WITH THIS MODEL WITH A VIEW TO ATMOSPHERIC MODELLING AS WELL AS PROVIDING REFERENCE STATES FOR THE COUPLED OCEAN-ATMOSPHERE MODEL. THE ATMOSPHERIC MODEL IS COUPLED TO OCEANIC GENERAL CIRCULATION MODELS DEVELOPED BY THE MAX-PLANCK-INSTITUT FUR METEOROLOGIE. MI WILL PROVIDE AND MAINTAIN THE ATMOSPHERIC MODEL, SUPERVISE THE RUNNING OF THE COUPLED MODEL AND THE DATA MANAGEMENT.

DIAGNOSTICS AND VALIDATION OF CLIMATE SIMULATIONS. APART FROM USING STANDARD TECHNIQUES SUCH AS MONTHLY MEANS OF MODEL OUTPUT FIELDS, STANDARD DEVIATIONS, SPATIAL COHERENCE, TEMPORAL AUTO-CORRELATION AND SPATIAL CROSS-CORRELATION, MI WILL STUDY SPECTRAL ENERGETICS (E.G. LORENZ CYCLE, WAVE-WAVE-INTERACTIONS) AND THE MOMENTUM BUDGET. FURTHER, DIAGNOSTICS WILL BE DEVELOPED TO OBJECTIVELY IDENTIFY STORM TRACKS AND THE FREQUENCY OF CYCLOGENESIS. THIS WILL THEN BE APPLIED TO ENSO AND NAC MODEL RUNS.

Topic(s)

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Call for proposal

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Coordinator

Universität Hamburg
EU contribution
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Address
Moorweidenstraße 18
20148 Hamburg
Germany

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Participants (5)