STRATOCLIM – Stratospheric and Upper Tropospheric Processes for Better Climate Predictions

 

STRATOCLIM – Stratospheric and Upper Tropospheric Processes for Better Climate Predictions

StratoClim will produce more reliable projections of climate change and stratospheric ozone by a better understanding and improved representation of key processes in the Upper Troposphere and Stratosphere (UTS).

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STRATOCLIM will produce more reliable projections of climate change and stratospheric ozone by a better understanding and improved representation of key processes in the Upper Troposphere and Stratosphere (UTS). This will be achieved by an integrated approach bridging observations from dedicated field activities, process modelling on all scales, and global modelling with a suite of chemistry climate models (CCMs) and Earth system models (ESMs). At present, complex interactions and feedbacks are inadequately represented in global models with respect to natural and anthropogenic emissions of greenhouse gases, aerosol precursors and other important trace gases, the atmospheric dynamics affecting transport into and through the UTS, and chemical and microphysical processes governing the chemistry and the radiative properties of the UTS.

STRATOCLIM will (a) improve the understanding of the microphysical, chemical and dynamical processes that determine the composition of the UTS, such as the formation, loss and redistribution of aerosol, ozone and water vapour, and how these processes will be affected by climate change; (b) implement these processes and fully include the interactive feedback from UTS ozone and aerosol on surface climate in CCMs and ESMs. Through STRATOCLIM new measurements will be obtained in key regions:

  1. in a tropical campaign with a high altitude research aircraft carrying
  2. an innovative and comprehensive payload,
  3. by a new tropical station for unprecedented ground and sonde
  4. measurements, and
  5. through newly developed satellite data products.

The improved climate models will be used to make more robust and accurate predictions of surface climate and stratospheric ozone, both with a view to the protection of life on Earth. Socioeconomic implications will be assessed and policy relevant information will be communicated to policy makers and the public through a dedicated office for communication, stakeholder contact and international co-operation.

Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (Germany)
Bergische Universität Wuppertal (Germany); Central Aerological Observatory (Russian Federation); Consiglio Nazionale delle Ricerche (Italy); Centre National de la Recherche Scientifique - Laboratoire de Météorologie Dynamique (France); Centre National de la Recherche Scientifique - Laboratoire d'Aérologie (France); Centre National de la Recherche Scientifique - Laboratoire d'Optique Atmosphérique (France); Centre National de la Recherche Scientifique - Laboratoire Atmosphères, Milieux, Observations Spatiales (France); Centre Suisse d'Electronique et de Microtechnique (Switzerland); Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany); Danish Meteorological Institute (Denmark); Swiss Federal Institute of Technology (Switzerland); Freie Universität Berlin (Germany); Forschungszentrum Jülich GmbH (Germany); University of Oslo (Norway); Karlsruher Institut für Technologie (Germany); Max Planck Institute for Meteorology (Germany); Max-Planck-Institute for Chemistry (Germany); STFC Rutherford Appleton Laboratory (United Kingdom); Technische Universität Darmstadt (Germany); Eotvos Lorand Tudomanyegyetem (Hungary); University of Bremen (Germany); University of Cambridge (United Kingdom); University of Exeter (United Kingdom); UK Met Office(United Kingdom); University of Leeds (United Kingdom); Universidad Complutense de Madrid (Spain); Utrecht University (Netherlands); Wuppertal Institute for Climate, Environment and Energy (Germany); BK Scientific (Germany); University of Easy Anglia (United Kingdom); Leipzig University (Germany);
Project start year: 2013
Project end year: 2018

This project has received funding from the European Union's Seventh Framework Programme for research, technological
development and demonstration under grant agreement no 603218.

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