Menu
MapConnectionsTopicsBulgariaThe Night (K-TRIO)Marie Skłodowska-CurieFor studentsFor teachersMethodologySurprise me
H2020Doctoral network2016–2021

COMPLETE · Cloud-MicroPhysics-Turbulence-Telemetry: An inter-multidisciplinary training network for enhancing the understanding and modeling of atmospheric clouds

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2016-06-01 → 2021-01-31
EU contribution
€3,545,328
Participants
9
Scheme
MSCA-ITN-ETN

Lines connect the coordinator with its partners. CORDIS does not always give exact coordinates for projects before 2014. These points are placed at city or country level.

Results in brief

Cloud-MicroPhysics-Turbulence-Telemetry: An inter-multidisciplinary training network for enhancing the understanding and modeling of atmospheric clouds

Issue being addressed: • characterization of the direct interactions between cloud dynamics, thermodynamics and microphysics at the meter scale, • development of new telemetry methods for in-situ measurements of the aerosol, turbulence, temperature, pressure and chemical content, • improve the cloud edges/interface models to better prediction of the mixing efficiency, temperature inversion, clear air entrainment/moist air detrainment, • transfer the knowledge acquired by field and laboratory Lagrangian measurements and DNS modelling towards the climate/weather modelling community Importance for Society. Clouds have been termed the “big bad player in global warming” (Kerr, Science 2009) and are listed among the most urgent scientific problems requiring attention by the Intergovernmental Panel on Climate Change. Remaining in the European context, just think of what now frequently happens: devastating storms and hailstorms, floods, storm surges. An important technology we have developed to detect what is happening inside the clouds is a small green expendable radioprobe that floats inside them to monitor local weather conditions. This is also important in the case of clouds formed following the accidental release of dangerous substances from industrial, or similar, plants. Overall Objectives. So far, understanding of clouds has come through the study of two phenomena: cloud microphysical processes in non-turbulent flows, and large-scale cloud circulation and dynamics. Since ambiguities related to representation of clouds in climate models prevail, explorative observations are still needed. The challenge is to establish connections across this range of scales to combine knowledge and training across vastly different scientific and engineering disciplines.

Data: CORDIS, © European Union

Project objective

Clouds are the largest source of uncertainty in weather prediction, climate science, and remain a weak link in modeling atmospheric circulation. This is rooted in the fact that clouds depend on the physical and chemical processes over a huge range of scales, from the collisions of micron-sized droplets and particles to the airflow dynamics on the scales of thousands of meters. Since ambiguities related to representation of clouds in climate models prevail, explorative observations are still needed. The challenge is on the one hand to establish connections across this range of scales, from aerosol and particle microphysics to macro-scale turbulent dynamics in clouds, and on the other to combine knowledge and training across vastly different scientific and engineering disciplines. The aim of COMPLETE is to develop an inter/multidisciplinary training network that will prepare high-potential early stage researchers (ESRs) with both scientific and industrially-oriented skills that will advance our understanding in these multi-scale complex natural phenomena. COMPLETE will vastly improve Europe’s position as a global leader in technology, science and innovation to address climate change challenges. The training programme will combine the scientific investigation of specific aspects of cloud physics and related turbulent dynamics with training in key professional skills. This comprises an exceptional experimental programme that includes field experiments, laboratory and numerical simulations, the design and development of advanced fast temperature probes, velocity MEMS and innovative atmospheric mini radio-sondes; all aimed at the production of new, Lagrangian based, cloud fluctuation datasets, required to reduce the fragmentation of results and knowledge in this field.

Original text from CORDIS.

Participants

  • POLITECNICO DI TORINO · TorinoCoordinatorItaly
  • CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS · ParisFrance
  • ENVISENS TECHNOLOGIES SRL · TORINOItaly
  • IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE · LondonUnited Kingdom
  • MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV · MUNCHENGermany
  • PENTALUM TECHNOLOGIES LTD · REHOVOTCity levelIsrael
  • SITAEL SPA · Mola Di BariItaly
  • TEL AVIV UNIVERSITY · Tel AvivIsrael
  • UNIWERSYTET WARSZAWSKI · WarszawaPoland

Links

Data: CORDIS, © European Union