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PIK Biennial Report 2000-2001 - Potsdam Institute for Climate ...

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<strong>Climate</strong> System<br />

Head: Martin Claussen<br />

Deputy Head: Friedrich-Wilhelm Gerstengarbe<br />

Overview<br />

Understanding the interplay between the various components<br />

of the climate system is the key to a comprehensive<br />

Earth system analysis. There<strong>for</strong>e the <strong>Climate</strong> System<br />

Department focuses on climate analysis and scenarios,<br />

climate-system modelling and ocean modelling. The<br />

research in these areas includes: i) the statistical analysis<br />

of past and present-day climatic data as well as the construction<br />

of future climate scenarios; ii) the development<br />

of a climate-system model of intermediate complexity;<br />

and iii) the investigation of ocean currents, in particular<br />

ocean-atmosphere feedbacks.<br />

<strong>Climate</strong> Analysis and Scenarios<br />

Group leader: Friedrich-Wilhelm Gerstengarbe<br />

A prerequisite <strong>for</strong> any research related to climate is a<br />

thorough analysis of past and present-day climate based<br />

on high-quality data. There<strong>for</strong>e, a <strong>PIK</strong> DATA Base System<br />

has been set up and is continuously expanded and<br />

updated in co-operation with the Data & Computation<br />

Department. The database contains high resolution, long<br />

term time series from all relevant climate stations of the<br />

world. Secondly, new multivariate statistical methods<br />

have been developed which are used <strong>for</strong> climate data<br />

analysis as well as <strong>for</strong> the validation of climate models.<br />

For constructing regional climate change scenarios a new<br />

method has been <strong>for</strong>mulated. This method considers<br />

results from climate models and observed regional climate<br />

parameters. It is based on an expanded cluster analysis<br />

algorithm and Monte Carlo simulations. The climate<br />

change scenarios are used in all <strong>PIK</strong> projects related to<br />

regional climate change.<br />

<strong>Climate</strong> System Modelling<br />

Group leader: Martin Claussen<br />

In the <strong>Climate</strong> System Department a climate-system<br />

model of intermediate complexity called CLIMBER-2<br />

(<strong>for</strong> CLIMate and BiosphERe, version 2) has been developed.<br />

It is used to focus on an efficient description of<br />

the feedbacks between all major components of the natural<br />

Earth system on time scales of centuries and millennia.<br />

Examples are simulations of the last glacial cycle,<br />

changes in carbon isotopes during the last 10,000 years,<br />

the greening and aridification of Northern Africa, and an<br />

18<br />

Martin Claussen<br />

analysis of the effects of volcanism, solar variability and<br />

land use on climate change of the past millennium.<br />

CLIMBER-2 includes dynamic models of the atmosphere,<br />

ocean, vegetation, and inland ice as well as models<br />

of terrestrial and oceanic carbon cycles. Currently it is<br />

the major tool used in the QUEST project.<br />

For studies of the natural Earth system which require<br />

higher spatial and temporal resolution, a new model<br />

framework, CLIMBER-3, is under development in cooperation<br />

with both the Global Change & Natural Systems<br />

and the Data and Computation Departments.<br />

Ocean Modelling<br />

Group leader: Stefan Rahmstorf<br />

Work in the ocean modelling group focuses on understanding<br />

the role of the oceans and sea ice in climate<br />

change, past and future. A major ef<strong>for</strong>t during the past<br />

two years has gone into developing the ocean component<br />

<strong>for</strong> the new coupled model CLIMBER-3. This<br />

ocean component is based on the GFDL MOM-3<br />

model, which has been extended in various aspects and<br />

coupled to a state-of-the-art sea ice model. Further<br />

development work has focused on coupling to the<br />

atmosphere and on the implementation of an ocean carbon<br />

cycle model. Scientific issues that have been looked<br />

at were, <strong>for</strong> example, the role of sea ice in lowering the<br />

carbon dioxide levels during glacial times, or the dynamics<br />

of the Antarctic Circumpolar Current.<br />

Another avenue of research is the development of simple<br />

conceptual, stochastic models of oceanic processes<br />

such as open ocean convection, to study aspects of their<br />

nonlinear dynamics.

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