The SAC provides the Council with opinions and recommendations on the draft programme of activities of the Centre drawn up by the Director-General and on any other matters submitted by the Council. The 12 members of the SAC are appointed in their personal capacity and are selected from among the scientists of the Member States.
Next session
SAC members
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Professor Alan O'Neill Chair |
Professor of Meteorology (Emeritus) at the Department of Meteorology, University of Reading, UK Visiting Professor at the Laboratory for Scientific Computing, the Cavendish Laboratory, University of Cambridge, UK ProfileAt Reading, Professor O'Neill was Director of the National Centre for Earth Observation and Director of the Data Assimilation Research Centre. Before his appointments at Reading, he worked at the UK Met Office as head of the stratospheric dynamics research group. He has served as member then as Chair of the Earth Science Advisory Committee of the European Space Agency. His research interests include stratospheric dynamics, in particular the interaction between the stratosphere and troposphere, atmospheric tracer transport and satellite data assimilation. At Cambridge, he is exploring the use of machine learning techniques for environmental applications of satellite data. |
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Dr Susanna Corti |
Senior Scientist at the Institute of Atmospheric Sciences and Climate (ISAC) of the Italian National Research Council (CNR), Italy ProfileDr Corti is the Coordinator of the Climate Dynamics and Variability Research Unit (DIVAC) at the Institute of Atmospheric Sciences and Climate (ISAC) of the Italian National Research Council (CNR). Before joining ISAC-CNR, she worked at CINECA (Italian Inter-University Consortium for High Performance Computing), where she has contributed to a number of EU-funded projects on weather and climate research. During her career she worked at ECMWF in the Research Department on two EU-funded projects: “Short-term climate variability" and "THOR (Thermohaline Overturning at Risk?)". Her research interests include sub-seasonal to decadal ensemble climate predictions; high-resolution climate reconstructions and future scenarios; weather and climate predictability; impact of stochastic physical parametrizations in model simulations from sub-seasonal to centennial time-scales; and reconstruction of climate variability over Europe. Dr Corti is Executive Editor of "Climate Dynamics”. |
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Dr Henk Eskes |
Dr Henk Eskes Senior scientist at the Royal Netherlands Meteorological Institute, Netherlands Profile The research of Dr Eskes focuses on the composition of the atmosphere. He is an expert on atmospheric chemistry modelling, chemical data assimilation and satellite observations of trace gases in the atmosphere. Henk Eskes is strongly involved in the Copernicus Atmosphere Monitoring Service (CAMS), implemented by ECMWF, and was involved in the European research projects MACC and GEMS preparing for the CAMS operational service. He is currently the coordinator of the CAMS validation contract, leading a consortium of 14 partners. He is also product lead for the NO2 product of TROPOMI on the Sentinel-5P satellite and involved in the preparation for Sentinels 4 and 5. |
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Dr Inger‐Lise Frogner Vice-Chair |
Senior scientist at the Norwegian Meteorological Institute, Norway ProfileDr Frogner is a senior scientist at the Norwegian Meteorological Institute and has a position in HIRLAM-C management group, where she is project leader for predictability and Ensemble Prediction Systems (EPS) (HIRLAM is a consortium of ten European national meteorological institutes). She is the head of the group of HIRLAM scientists that do research on predictability and that develop mesoscale ensemble prediction systems. Methods for calibration and verification of EPS are also a part of the responsibility. Dr Frogner graduated in Meteorology at the University of Oslo (Norway) and did her PhD at the same university, in the field of predictability and ensemble prediction systems. As part of the PhD she worked at ECMWF for six months. She has been involved in developing several ensemble prediction systems, and is currently focused on developing EPS for mesoscale. Her main research interests are probabilistic forecasting, atmospheric predictability and sensitivity, probabilistic verification and developing systems for prediction of extreme/rare weather events. |
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Dr Alain Joly |
Head of numerical weather prediction (NWP) group at Météo‐France, France
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Professor Dr Thomas Jung |
Alfred Wegener Institute and Professor for Physics of the Climate System (Theory and Modelling), University of Bremen ProfileProf Thomas Jung in an expert in climate analysis, modelling and prediction from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research in Germany. He has received his PhD 2000 in atmospheric physics from University of Kiel and the Institute for Marine Research (now GEOMAR). He then went on to work for 10 years in the Research Department of the European Centre for Medium-Range Weather Forecasts (ECMWF) in the UK. Prof Jung is head of the Climate Dynamics section at AWI and full professor for physics of the climate system at the University of Bremen. He is also spokesperson of AWI’s research programme. Furthermore, he acts as the chair of various committees, including the Polar Prediction Project of the World Meteorological Organisation. Prof Jung coordinates major research projects such as APPLICATE, which is funded through the Horizon2020 program, and Advanced Earth System Modelling Capacity, which is funded through the Helmholtz Association. |
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Dr Chiara Piccolo |
UKMO ProfileChiara currently leads Satellite Applications research and development at the UK Met Office to improve exploitation of satellite data in numerical weather prediction and other applications in weather and climate. Previously Chiara managed the NWP SAF (Satellite Application Facilities). The NWP SAF is a European collaboration funded by EUMETSAT. The NWP SAF is led by the Met Office, with partners ECMWF, DWD and Météo-France. It develops software to improve the assimilation of satellite data into NWP models and it also provides monitoring reports on various operational satellite products. Chiara’s research is focused on the estimation of model errors using data assimilation techniques. Model error is a key factor in forecast uncertainty. In a realistic case, it is unlikely that model error can be represented exactly by physically based schemes. An alternative approach is to treat model error as unknowable and use data assimilation techniques to deduce information about the model error from observations. Chiara is also interested in using adaptive mesh methods to better represent the background error. A particular application is the representation of the background error in the presence of stratocumulus clouds. Before joining the Met Office, Chiara worked for six years as a postdoc at the AOPP at the University of Oxford on infrared remote sensing from satellite instruments and retrieval theory to get the information content when using multi-channels instruments. This work was a continuation of her PhD in Physics at University of Florence. |
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Professor Eigil Kaas |
Professor in Meteorology and Climate Dynamics, Niels Bohr Institute, Copenhagen University, Denmark Profile |
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Professor Pier Siebesma |
Professor at Delft University of Technology, the Netherlands Chair of mesoscale modelling cluster, Royal Netherlands Meteorological Institute (KNMI) Profile |
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Professor Gunilla Svensson |
Department of Meteorology (MISU), Stockholm University, Sweden Profile |
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Dr Isabel Trigo |
IPMA, Portugal ProfileIsabel Trigo graduated in Geophysical Sciences from the University of Lisbon (Portugal) and received her the PhD degree from the University of East Anglia (UK). Dr Trigo initiated her research career in the area of climate variability, studying synoptic systems in mid-latitudes. She briefly worked as a visiting scientist at ECMWF, where she started exploring satellite data to assess the land surface scheme. Currently, Dr Trigo is a senior researcher at Instituto Português do Mar e da Atmosfera, IPMA (Portugal), where she leads the Remote Sensing Group. Her research focuses on applications of remote sensing observations to derive land surface variables, and on their use to better understand and model land surface processes. She is the Scientific Coordinator for the EUMETSAT Satellite Applications Facility on Land Surface Analysis (LSA SAF) and has acted as local PI for several international products funded by ESA, and by Copernicus and European Programmes. |
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Dr Anthony Weaver |
Senior Researcher at the European Centre for Research and Advanced Training in Scientific Computation (CERFACS), France ProfileDr Weaver’s main area of interest has been ocean data assimilation. He has also worked on general algorithmic aspects of variational assimilation and covariance modelling. He has worked with ECMWF for many years, in recent years giving help and guidance on the NEMOVAR ocean data assimilation system, a collaborative project between ECMWF, the Met Office, CERFACS and INRIA (French National Institute for computer science and applied mathematics). NEMOVAR is the backbone of ECMWF’s ocean reanalysis ORAS4 and the new ocean reanalysis ORAS5, and is used to initialise the S4 seasonal forecasts and the coupled ensemble forecasts. Dr Weaver is a member of several international committees and panels as well as a Principal Investigator on a number of European projects. |
