The Scientific Advisory Committee (SAC)

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 members of the SAC are appointed in their personal capacity and are selected from among the scientists of the Member States.

PDF icon SAC Rules of procedure

Next session

4-6 October 2023

SAC members and Experts

Inger-Lise Frogner

Dr Inger‐Lise Frogner


Senior scientist at the Norwegian Meteorological Institute, Norway


Dr 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.

Susanna Corti

Dr Susanna Corti

Senior Scientist at the Institute of Atmospheric Sciences and Climate (ISAC) of the Italian National Research Council (CNR), Italy


Dr 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”.

Susanna Corti at ISAC


Dr Henk Eskes

Senior scientist at the Royal Netherlands Meteorological Institute, Netherlands


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.

Dr Christina Koepken-Watts

Data assimilation section, German Weather Service, Germany


Dr Köpken-Watts is the scientific team leader for satellite data assimilation within the data assimilation section of the German Weather Service (DWD). Her main  development focus is the use of satellite radiances. She is also the project team leader for DWD within the NWP SAF cooperation with the Met Office, Météo-France and ECMWF.

She graduated in Meteorology and received her PhD from the University of Bonn (Germany), her Diplom and PhD research including an extended research visit at LMD (Paris) and co-operation with University of Bergen and the NMI (MET Norway) in the areas of satellite retrievals and satellite retrieval assimilation for polar low simulations, respectively.

Joining DWD she worked within the European funded BALTEX project on regional re-analysis for the Baltic area as well as the use of rain radar observations and ground-based GPS data, a new data source in meteorology at the time.

She went on to work for three years in the research department of ECMWF as a EUMETSAT fellow for the assimilation of geostationary radiances. After returning to DWD, her main research focus is the use of microwave and infrared satellite radiances for operational NWP, but she also contributed to work on scatterometer winds and atmospheric motion vectors.

Dr Köpken-Watts is a member of the EUMETSAT science working group (STG-SWG) and of the IRS mission advisory group (IRSMAG).

Photo of Christof Appenzeller

Professor Dr Christof Appenzeller

Member of the executive board of the Federal office of Meteorology and Climatology (MeteoSwiss) and head of the business department Analysis and Forecasting


Prof Dr Christof Appenzeller is a member of the executive board of the Federal office of Meteorology and Climatology (MeteoSwiss) and head of the business department Analysis and Forecasting. The department provides a wide range of weather and climate services to the public, governmental offices and private sectors. It is responsible for the operational weather forecasts, warnings and climate monitoring for Switzerland, developing and operating the weather prediction model, the forecast decisions tools and the climate scenarios.

Christof Appenzeller is an environmental scientist by training and has long experience in weather and climate research, and in leading groups that provide science-based services to society. In addition to his management activities, he is an Adjunct Professor at ETH Zurich with a research background in analysis and prediction of the weather and climate system, with a focus on inter-annual variability, climate change and weather and climate risk management.

He is author and co-author of many scientific contributions in reviewed journals, including Science and Nature, and has been governmental representative in various commissions including the World Meteorological Organization, the EUMETNET Program, the ECMWF Council and Intergovernmental Panel on Climate Change. He has been decisive in establishing the Swiss National Centre for Climate Services (NCCS), the Swiss Climate scenarios CH2011 and is part of the Steering Committee on Intervention in Natural Hazards (LAINAT). He served as co-chair in the Centre for Climate System Modelling (C2SM) and is currently on the Executive Board of the open ETH project Exascale computing and data platform for weather and climate modelling (EXCALIM). He also worked on committees at the research/politics interface (e.g. ProClim).

Previously he was head of the climate service division and a senior scientist at MeteoSwiss, research associate at the department for Climate and Environmental Physics at the University of Bern (Switzerland) and at the Department of Atmospheric Sciences at the University of Washington (Seattle, WA, USA). He finished his PhD in atmospheric dynamics at the Institute of Atmospheric Physics, ETH Zürich and his studies in Environmental Physics in the Department of Natural Sciences at ETH Zürich.

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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


Prof 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.

Piccolo pic

Dr Chiara Piccolo



Chiara 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.

Professor Eigil Kaas

Professor in Meteorology and Climate Dynamics, Niels Bohr Institute, Copenhagen University, Denmark


Eigil Kaas at the Niels Bohr Institute

Professor Pier Siebesma

Professor at Delft University of Technology, the Netherlands

Chair of mesoscale modelling cluster, Royal Netherlands Meteorological Institute (KNMI)


Pier Siebesma at TU Delft

Professor Gunilla Svensson

Department of Meteorology (MISU), Stockholm University, Sweden


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Dr Isabel Trigo

IPMA, Portugal


Isabel 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.

Anthony Weaver

Dr Anthony Weaver

Senior Researcher at the European Centre for Research and Advanced Training in Scientific Computation (CERFACS), France


Dr 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.

François Bouyssel


François currently leads the numerical weather prediction (NWP) research group at Météo-France in charge of maintaining and developing the global (Arpege) and regional (Arome) operational numerical weather forecasting systems of Météo-France and of conducting research which prepares future versions. This mission is carried out in an environment of strong international cooperation. These NWP systems are based on a computer code common to many services in Europe, such as ECMWF and ACCORD consortium.

Previously, François was leading the team in charge of the representation of atmospheric and surface physical processes in operational NWP systems developed at Météo-France. The team has contributed to the development of a new prognostic moist physics common for NWP and Climat versions of the global model and of the prototype and the first operational versions of a kilometric-scale NWP regional model (Arome).

At the beginning of his career, he performed research activities on the assimilation of surface parameters for continental surfaces in NWP systems, in the continuation of his PhD on developing a variational analysis of superficial soil moisture and temperature from screen level atmospheric parameters. He was also involved in the development of linearized physical parametrizations for the 4DVar analysis of the global NWP system and of an optimal interpolation analysis for surface and upper-air parameters for nowcasting at regional scales.

His research activities are on modelling of atmospheric physical processes (microphysics, convection, orographic gravity wave drag) at different spatial and temporal scales.