Team
The CMUG team consists of individuals from the Met Office, European Centre for Medium-Range Weather Forecasts (ECMWF), Météo-France, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut Pierre Simon Laplace (IPSL), Swedish Meteorological and Hydrological Institute (SMHI), Barcelona Supercomputing Center (BSC), Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (Fondazione CMCC), Danish Meteorological Institute (DMI), NCEO (University of Leicester), and NCEO (University of Edinburgh).
Met Office
- Amy Doherty
- Richard Jones
- Hannah Griffith
- Debbie Hemming
- Robert King
- David Ford
European Centre for Medium-Range Weather Forecasts (ECMWF)
- Angela Benedetti
- Kirsti Salonen
Météo-France
- Jean-Christophe Calvet
DLR
- Axel Lauer
- Lisa Bock
CEDA
- Alison Waterfall
Institut Pierre Simon Laplace (IPSL)
- Frédérique Cheruy
- Philippe Peylin
- Catherine Ottlé
Swedish Meteorological Hydrological Institute (SMHI)
- Ulrika Willén
Barcelona Supercomputing Center (BSC)
- Pablo Ortega
- Jeronimo Escribano
CMCC
- Daniele Peano
DMI
- Shuting Yang
- Ruth Mottram
NCEO (University of Leicester)
- Robert Parker
- Cristina Ruiz Villena
NCEO (University of Edinburgh)
- Paul Palmer
UKRI STFC
- Alison Waterfall
Biographies
Dr Amy Doherty is the CMUG project manager. She works in the International Applied Science area of the Met Office in the Climate Information for International Development group. She has a Ph.D. in remote sensing and has spent many years working on improving the use of satellite data in the Met Office operational weather forecasts, with a focus on microwave humidity sounders.
Hannah Griffith works on the CMUG project as Work Package 6 lead, Coordination & Outreach. She holds a Physical Geography Bachelors degree and a Sustainable Development & Climate Change Masters degree, both from the University of Exeter. Hannah started working at the Met Office in 2019 and works with climate services, data analysis, international climate resilience programmes and capacity building projects.
Dr. Angela Benedetti holds a Physics degree from the University of Rome, “La Sapienza”, Rome, Italy (under the supervision of Professor Giorgio Fiocco), and a PhD in Atmospheric Science, Department of Atmospheric Science, Colorado State University, Fort Collins, CO (under the supervision of Professor Graeme L. Stephens). Angela joined ECMWF in October 2002 first as a research scientist working on the exploitation of CloudSat data, and later as the aerosol expert in the EU-funded GEMS, MACC, MACC-II, MACC-III projects, and until October 2015 in the EU-funded Copernicus Atmosphere Monitoring Service (CAMS). Since November 2015, she has been a Senior Research Scientist in the Atmospheric Composition Team, part of the Research Department Earth's Predictability Section. Angela's research interests span from Data assimilation with focus on aerosol for improvements in atmospheric composition and meteorological forecasts/analysis, to Dust forecasts, with focus on air quality applications, and more generally Aerosol impacts on Numerical Weather Prediction. She is Principal Investigator and Work Package leader in several international projects (e.g. ARAS, Aerosol Radiance Assimilation Study; A3S, Aerolus/EarthCARE Aerosol Assimilation Study; ACTRIS2, Aerosols, Clouds and Trace gases Research InfraStructure Network - Phase 2; DACCIWA, Dynamics-aerosol-chemistry-cloud interactions in West Africa).
Dr. Jean-Christophe Calvet received a M. Eng. degree in agronomy from AgroParisTech, Paris, France, in 1990, a M.Sc./Eng. degree in meteorology from the Ecole Nationale de la Météorologie, Toulouse, France, in 1990, a Ph.D. degree from the Université Paul Sabatier, Toulouse, in 1996, and a Habilitation degree in 2002 at the same university. He joined Météo-France, Toulouse, the French meteorological service, in 1990, and Centre National de Recherches Météorologiques (CNRM), Toulouse, in 1994, where he has been the Head of a land-modelling and remote-sensing section since 2003 (10 to 15 staff). His most recent works concern the joint analysis of soil moisture and vegetation biomass, and the representation of the carbon cycle in climate models. His research interests include land-atmosphere exchange modelling and the use of remote sensing over land surfaces for meteorology.
Dr. Daniele Peano is a Junior Scientist at CMCC in the “Climate Simulations and Prediction” (CSP) Division. He has three years of experience in ice sheet modelling (PhD) and seven years of experience in land surface and climate modelling (PostDoc). He has contributed to the development of the surface land and vegetation component of the CMCC global coupled model with a specific focus on the land biogeochemical cycle (CMCC-CM2, CMCC-ESM2), and it is working on the development of the new CMCC coupled model (CMCC-CM3). As part of CMUG, he focuses on the evaluation of the impact of vegetation phenology on observed and simulated land-atmosphere processes.
Dr. Frédérique Cheruy is a research scientist at the CNRS and works in the IPSL Laboratoire de Météorologie Dynamique LMD. At the early stage of her career she was specialized in radiative transfer calculations, retrieval of atmospheric products from satellite observations and analysis of satellites date. She re-oriented in atmospheric modelling and has experience regarding parameterizations (land surface and atmosphere), feedback analysis and process oriented diagnostics for evaluating climate models. In the continuity of her collaboration with the IPSL partner during the first phase of CMUG [Cheruy et al. 2017], she will lead the contribution of IPSL to CMUG.
Prof. Dr. Veronika Eyring received her PhD in Environmental Physics from the University of Bremen (Germany) in 1999. She joined the German Aerospace Center (DLR) in 2000 where she is now working as a Senior Scientist and Head of the Earth system model evaluation group. She is Professor of Climate Modelling at the University of Bremen and maintains a strong collaboration with the National Center for Atmospheric Research (NCAR, USA) as Affiliate Scientist. Her research focuses on Earth system modelling and process-oriented model evaluation with observations to better understand chemistry-climate interactions and climate change, and to improve the models. She has authored many peer-reviewed journal articles and has contributed to the Intergovernmental Panel on Climate Change (IPCC) climate and World Meteorological Organization (WMO) ozone assessments since 2004. Veronika is involved in the World Climate Research Programme (WCRP) through her roles as Chair of the Coupled Model Intercomparison Project (CMIP) Panel and member of the scientific steering committees for the Working Group on Coupled Modelling (WGCM), the WCRP Data Advisory Council's (WDAC) Observations for Model Evaluation Task Team, and the Working Group on Numerical Experimentation (WGNE)/WGCM Climate Model Diagnostics and Metrics Panel.
David Ford holds a BSc (Hons) 1st class in Mathematics and Physics from Cardiff University (2002-2005). David has worked on ocean modelling and data assimilation research at the Met Office since 2008. His main focus is on developing and validating the pre-operational global coupled physical-biogeochemical ocean modelling system. His work covers time scales from near-real-time forecasts to decadal reanalyses, with both operational and climate research applications. David has also worked on shelf seas biogeochemical modelling and validation, and developing error covariances for the data assimilation component of the Met Office's operational physical ocean forecasting system.
Catherine Ottlé is a senior researcher at LSCE, with a strong expertise in land surface modelling and remote sensing for climate applications. She contributed to many national and international projects as PI or Co-PI including projects around CNES or ESA satellite missions (such as SMOS, SWOT or TRISHNA) and co-authored more than hundred publications. Her present reasearch interests include the role of land cover and surface properties on surface energy and water budgets and atmospheric feedback. She has been co-leading the land surface - atmosphere interactions (MOSAIC) research team at LSCE since 2014.
Dr Debbie Hemming leads a group of scientists studying vegetation-climate interactions, her personal research is focussed on phenology – the timing of events in nature, and it's interactions with climate. She is also Senior Visiting Research Fellow at the Birmingham Institute of Forest Research, Birmingham University, studying the seasonal dynamics of carbon and nitrogen in their mature woodland Free-Air CO2 Enrichment research site. She leads the scientific direction of her group, and works on a range of projects involved in vegetation responses and feedbacks to climate.
Prof. Richard Jones holds a PhD in Numerical Analysis (1984-1988) and a BSc in Mathematics (1980-1983) from Imperial College, United Kingdom. He was a post-doctoral research scientist at Oxford University from 1987 to 1990. Richard has been working at the Met Office since 1990. He has been a Science Fellow and Manager of Climate Information for International Development team since 2012. He manages and coordinates research into generating and applying regional climate information and modelling systems with a focus on climate risk management, climate change vulnerability and adaptation and international development. Prior to this, Richard was manager of the Regional Climate Prediction team (2002-2012), managing a group of 5-10 scientists generating and applying regional climate information and modelling systems relevant to climate change impacts and adaptation assessment for UK government and international agencies. The previous decade, he was a Senior Scientific Officer, providing state-of-the-art regional climate modelling systems; providing and analysing regional climate change scenarios and advising on these as required under contracts for various UK government departments and international bodies.
Dr. Robert King received a PhD in mathematics in 2011, from the University of Southampton. Joining the Met Office in 2012, Robert initially worked on thermal modelling in a variety of domains, including a strong land surface element. Robert now works in the Vegetation-Climate Interactions teams, researching satellite based techniques around vegetation moisture stress and sub-canopy temperature processes.
Dr Philippe Peylin is a senior scientist at the Centre National de la Recherche Scientifique (CNRS) working on the Carbon Cycle with a 15-year strong expertise in the development of terrestrial ecosystem models and the application of data assimilation techniques to improve the simulations of carbon, water and energy balances. His main research interests concern the links and feedbacks between climate change and terrestrial ecosystem functioning. He is currently coordinating the development of the ORCHIDEE land surface model. He coordinated several research projects, including the H2020 VERIFY project on the estimation of greenhouse gas budgets for European countries.
Dr. Axel Lauer is a research scientist at the Institute of Atmospheric Physics (German Aerospace Center, DLR) and core developer of the Earth System Model Evaluation Tool (ESMValTool). His main research interests are aerosols, clouds and cloud-climate feedbacks as well as their interactions. He has a long-standing experience in evaluating and analysing climate model results and will contribute to Task 5. Specifically, he will help with coordination, support and documentation of ESMValTool CMUG activities and implementation of the new ECVs long-lived GHGs (CH4) and water vapour into the ESMValTool. This includes programming of new diagnostics and metrics that are suitable for evaluating these ECVs from global climate models with the ESA CCI data and application of the ESMValTool to CMIP model results.
Dr. Pablo Ortega has co-lead the Climate Prediction Group at the BSC since September 2017, where he supervises all research activities involving the ocean, sea ice and biogeochemistry, including those within during CMUG. He is particularly interested in the fate of the ocean circulation and Arctic sea ice and their related climate impacts. Many of his current research is focused on identifying the best initialization strategies for seasonal and decadal prediction.
Dr. Ulrika Willén is a research scientist at the Rossby Centre, SMHI, working on regional and global climate modelling especially the parameterization and evaluation of clouds and radiation. She is currently involved in PRIMAVERA, ARCPATH and GREENICE and has previously been involved in EU projects for evaluation of models using ground-based observational networks, such as the CLIWA-NET and CloudNET projects and a number of satellite projects with the Swedish National Space Board, ArcticCLIM, CLOUDMAP and CM SAF projects to assess the use of satellite products in climate Research.
Dr Rob Parker is a lecturer in Earth Observation at the University of Leicester and leads the Carbon-Climate research group. His research interests centre around improving our understanding of key terrestrial processes relevant to climate change, in particular related to the carbon cycle, methane and wildfires. He has developed key satellite methane data products which are extensively used for better understanding the global methane budget and has expertise in using satellite data for evaluation of land surface and climate models. He is currently leading several Environmental Digital Twin activities, bringing together models and data with machine-learning to develop decision support tools.
Prof. Paul Palmer is a Professor at the University of Edinburgh and the science director of the NERC National Centre for Earth Observation. His research is focused on understanding the physical and chemical processes that drive variations in the atmospheric composition of Earth, embracing data, models, and theory. He is a science team member of NASA and Japanese satellite instruments that measure atmospheric GHGs and is the UK co-lead of the French-UK MicroCarb satellite mission. He sits on the European Commission CO2 Task Force that is delivering information to support Europe’s response to the Paris Agreement.