+34-91-2999762

See https://hmco.enpc.fr/team-view/daniel-schertzer/

See https://hmco.enpc.fr/team-view/daniel-schertzer/

+33 1 6415 3633

Olivier Talagrand is honorary Senior Scientist at Centre National de la Recherche Scientifique, France. He has worked on numerical modelling of the atmospheric circulation and on numerical weather prediction. He has contributed to the theory of assimilation of meteorological observations, particularly through the development of appropriate variational methods (‘4D-Var’). He has also worked on meteorological probabilistic prediction, and on the circulation of the atmospheres of the telluric planets (Mars, Venus, Titan). More recently, he has used his expertise for the study and predictability of the Solar Cycle.

Olivier Talagrand is honorary Senior Scientist at Centre National de la Recherche Scientifique, France. He has worked on numerical modelling of the atmospheric circulation and on numerical weather prediction. He has contributed to the theory of assimilation of meteorological observations, particularly through the development of appropriate variational methods (‘4D-Var’). He has also worked on meteorological probabilistic prediction, and on the circulation of the atmospheres of the telluric planets (Mars, Venus, Titan). More recently, he has used his expertise for the study and predictability of the Solar Cycle.

I am an applied mathematician with research interests in dynamical systems, data assimilation problems in earth sciences, and most recently, dynamics of the Indian summer monsoon. After my Ph.D. at the Univ. of Texas at Austin and postdocs at SAMSI, UNC Chapel Hill, and MSRI, Berkeley, I joined TIFR in 2007 at the Centre for Applicable Mathematics (TIFR-CAM), Bangalore, moved to ICTS-TIFR in 2013, and to IISER-Pune in 2021.

I am an applied mathematician with research interests in dynamical systems, data assimilation problems in earth sciences, and most recently, dynamics of the Indian summer monsoon. After my Ph.D. at the Univ. of Texas at Austin and postdocs at SAMSI, UNC Chapel Hill, and MSRI, Berkeley, I joined TIFR in 2007 at the Centre for Applicable Mathematics (TIFR-CAM), Bangalore, moved to ICTS-TIFR in 2013, and to IISER-Pune in 2021.

Reik Donner is a Professor for Data Science and Stochastic Modelling at the Department of Water, Environment, Construction and Safety, Magdeburg-Stendal University of Applied Sciences. Being trained as physicist and mathematician focusing on complex system theory, his main fields of research include nonlinear time series analysis, extreme events and complex networks, along with their application in climate as well as other fields of the Earth and environmental sciences

Reik Donner is a Professor for Data Science and Stochastic Modelling at the Department of Water, Environment, Construction and Safety, Magdeburg-Stendal University of Applied Sciences. Being trained as physicist and mathematician focusing on complex system theory, his main fields of research include nonlinear time series analysis, extreme events and complex networks, along with their application in climate as well as other fields of the Earth and environmental sciences

I am engaged in studies on weather and climate predictability, target observation, and ensemble forecast, and related error growth dynamics.

I am engaged in studies on weather and climate predictability, target observation, and ensemble forecast, and related error growth dynamics.

Tenure-track professor and Ph.D. supervisor at the Department of Atmospheric and Oceanic Sciences, Fudan University. Received a Ph.D. from the Institute of Atmospheric Physics, the Chinese Academy of Sciences in 2015. Subsequently, he conducted postdoctoral research at the National Oceanic and Atmospheric Administration (NOAA) and the University of Oklahoma, where he obtained a project researcher position. Since December 2020, he has been serving as a tenure-track professor at the Department of Atmospheric and Oceanic Sciences, Fudan University. His main research areas are ensemble forecasting, data assimilation, and atmospheric predictability. He has long been engaged in theoretical research and technological development in the assimilation of multi-source data and ensemble forecasting of high-impact weather. He has published more than ten first-author/corresponding-author papers in internationally renowned journals. Currently serves as an editor for the top journal Nonlinear Processes in Geophysics (NPG) under the European Geosciences Union (EGU).

Tenure-track professor and Ph.D. supervisor at the Department of Atmospheric and Oceanic Sciences, Fudan University. Received a Ph.D. from the Institute of Atmospheric Physics, the Chinese Academy of Sciences in 2015. Subsequently, he conducted postdoctoral research at the National Oceanic and Atmospheric Administration (NOAA) and the University of Oklahoma, where he obtained a project researcher position. Since December 2020, he has been serving as a tenure-track professor at the Department of Atmospheric and Oceanic Sciences, Fudan University. His main research areas are ensemble forecasting, data assimilation, and atmospheric predictability. He has long been engaged in theoretical research and technological development in the assimilation of multi-source data and ensemble forecasting of high-impact weather. He has published more than ten first-author/corresponding-author papers in internationally renowned journals. Currently serves as an editor for the top journal Nonlinear Processes in Geophysics (NPG) under the European Geosciences Union (EGU).

laboratory, theoretical numerical and field studies on environmental flows

laboratory, theoretical numerical and field studies on environmental flows

+1-(0)574-6319346

My work on nonlinear dynamics in geoscience includes the study of critical transitions and tipping points in general nonlinear dynamical systems , in particular climate models as well as in ecological systems. Furthermore I work on the interplay of mesoscale hydrodynamic flows with biological growth and biogeochemical processes, especially on the impact for vortices and fronts on the formation of (harmful) plankton blooms. Another field of research constitutes of pattern formation in vegetation models. Additionally I work on network approaches to investigate the stability of food webs and plant-pollinator networks, as well as the impact of climate change on biodiversity and metacommunity structures.

My work on nonlinear dynamics in geoscience includes the study of critical transitions and tipping points in general nonlinear dynamical systems , in particular climate models as well as in ecological systems. Furthermore I work on the interplay of mesoscale hydrodynamic flows with biological growth and biogeochemical processes, especially on the impact for vortices and fronts on the formation of (harmful) plankton blooms. Another field of research constitutes of pattern formation in vegetation models. Additionally I work on network approaches to investigate the stability of food webs and plant-pollinator networks, as well as the impact of climate change on biodiversity and metacommunity structures.

+49-(0)441-7982790

Richard Gloaguen (Ph.D “Communitatis Europae” 2000) did a Post-Doc at Royal Holloway University of London ( 2000-2003). He led the Remote Sensing Group at TU Bergakademie Freiberg (2003-2013). He now leads the division “Exploration Technology” at the Helmholtz-Institute Freiberg for Resource Technology. Interests: UAV-based hyperspectral imaging, laser-induced fluorescence, remote sensing-based tectonic geomorphology and multisource multiscale remote sensing integration.

Richard Gloaguen (Ph.D “Communitatis Europae” 2000) did a Post-Doc at Royal Holloway University of London ( 2000-2003). He led the Remote Sensing Group at TU Bergakademie Freiberg (2003-2013). He now leads the division “Exploration Technology” at the Helmholtz-Institute Freiberg for Resource Technology. Interests: UAV-based hyperspectral imaging, laser-induced fluorescence, remote sensing-based tectonic geomorphology and multisource multiscale remote sensing integration.

+493512604424

Physics of disordered systems forms the basis for most of my research in the geosciences. This includes water and air flow in permeable media, solute and gas diffusion, advective solute transport, reactive solute transport, scaling of chemical weathering and soil formation, vegetation growth and productivity and, finally, the water partitioning at the terrestrial Earth's surface known as "water balance," or Budyko theory. With a water balance obtained by optimizing the ecosystem net primary productivity, we then develop a theory for NPP which is in agreement with data. The same water balance equations predict successfully the range of streamflow elasticity values at any particular aridity index. The chemical weathering and vegetation growth are critical for geochemistry and carbon cycling. The soil formation has influence on geomorphology and landsliding. Also, past publications in Eos (20 years ago) showed how small environmental changes could influence the solid earth.

Physics of disordered systems forms the basis for most of my research in the geosciences. This includes water and air flow in permeable media, solute and gas diffusion, advective solute transport, reactive solute transport, scaling of chemical weathering and soil formation, vegetation growth and productivity and, finally, the water partitioning at the terrestrial Earth's surface known as "water balance," or Budyko theory. With a water balance obtained by optimizing the ecosystem net primary productivity, we then develop a theory for NPP which is in agreement with data. The same water balance equations predict successfully the range of streamflow elasticity values at any particular aridity index. The chemical weathering and vegetation growth are critical for geochemistry and carbon cycling. The soil formation has influence on geomorphology and landsliding. Also, past publications in Eos (20 years ago) showed how small environmental changes could influence the solid earth.

+34-91-2999762

5056679466

Doctorate 1988 University of Tübingen Habilitation 1992 University of Tübingen 1990-1994 Scientist, C.N.R.S. in Grenoble, France 1994-1998 Privatdozent (assistant Professor), University of Bayreuth 1998-present Professor, University of Oldenburg 2010-2018 Head of Fraunhofer IWES department Fluid and System dynamics areas of research - nonlinear dynamics, extreme events, stochastic models, Fluid dynamics, turbulence, wind energy, water waves, earth quakes, avalanches

Doctorate 1988 University of Tübingen Habilitation 1992 University of Tübingen 1990-1994 Scientist, C.N.R.S. in Grenoble, France 1994-1998 Privatdozent (assistant Professor), University of Bayreuth 1998-present Professor, University of Oldenburg 2010-2018 Head of Fraunhofer IWES department Fluid and System dynamics areas of research - nonlinear dynamics, extreme events, stochastic models, Fluid dynamics, turbulence, wind energy, water waves, earth quakes, avalanches

Kira Rehfeld studied Computer Science, Medical Physics, and Physics at Heidelberg University, and worked on quantifying spatio-temporal relationships in climate during her PhD at the Potsdam-Institute for Climate Impact Research and HU Berlin until 2013. Since 2018 she lead the Emmy Noether group STACY. Since 2021 she holds the professorship for Climatology at Tübingen University. To study Earth system dynamics, her group runs climate model experiments, studies ice cores, speleothems and pollen as environmental recorders, combining this with complex systems science. They focus on climate model abilities for simulating climate variability, the role of forcing processes for the continuous spectrum of climate, and carbon dioxide removal.

Kira Rehfeld studied Computer Science, Medical Physics, and Physics at Heidelberg University, and worked on quantifying spatio-temporal relationships in climate during her PhD at the Potsdam-Institute for Climate Impact Research and HU Berlin until 2013. Since 2018 she lead the Emmy Noether group STACY. Since 2021 she holds the professorship for Climatology at Tübingen University. To study Earth system dynamics, her group runs climate model experiments, studies ice cores, speleothems and pollen as environmental recorders, combining this with complex systems science. They focus on climate model abilities for simulating climate variability, the role of forcing processes for the continuous spectrum of climate, and carbon dioxide removal.

004970712974791

The lead author is a Distinguished Member of the R&D Staff at Oak Ridge National Laboratory. His research focuses on the application of statistical physics to data science and to machine learning. He is a fellow of APS and of SIAM.

The lead author is a Distinguished Member of the R&D Staff at Oak Ridge National Laboratory. His research focuses on the application of statistical physics to data science and to machine learning. He is a fellow of APS and of SIAM.

Completed PhD in the hydro-climatology field from Indian Institute of Technology Bombay in 2018. For outstanding contributions in hydrological modeling, received Excellence in Thesis recognition. The doctoral research work proposed novel framework for hydro-climatic teleconnections in a multiscale perspective using advanced spectral analysis tools, Predictions of hydrological variables integrating multiscale decomposition tools and machine learning techniques, presented novel framework for developing hydrologic frequency tools like intensity –duration- frequency curves integrating multiscale decomposition and scaling theory. The running research projects deals with non-stationary frequency analysis of hydrological extremes like floods, drought rainfall; regional landslide hazard mapping etc. The research domain of non-linear time series and complexity analysis is well explored by contributing over ten research articles in the domain of scaling and fractals. Presently supervising research scholars working in the domain of time series analysis and hydro-complexity, flood, drought, landslides and crop yield. For solving different hydrologic problems the potential of artificial intelligence tools and spectral analysis techniques were used which gives the research works an inter disciplinary character. Life Member of over 10 professional bodies and Member of International Commission on Statistical Hydrology (ICSH-IAHS), Won the Sivapalan Young Scientist Travel Award (SYSTA) and attended 100th Scientific Assembly of 2022 in Montpellier France. Currently active reviewer of over 80 Science Citation Indexed journals and Won the Outstanding reviewer recognition of ASCE in 2019 and 2020.

Completed PhD in the hydro-climatology field from Indian Institute of Technology Bombay in 2018. For outstanding contributions in hydrological modeling, received Excellence in Thesis recognition. The doctoral research work proposed novel framework for hydro-climatic teleconnections in a multiscale perspective using advanced spectral analysis tools, Predictions of hydrological variables integrating multiscale decomposition tools and machine learning techniques, presented novel framework for developing hydrologic frequency tools like intensity –duration- frequency curves integrating multiscale decomposition and scaling theory. The running research projects deals with non-stationary frequency analysis of hydrological extremes like floods, drought rainfall; regional landslide hazard mapping etc. The research domain of non-linear time series and complexity analysis is well explored by contributing over ten research articles in the domain of scaling and fractals. Presently supervising research scholars working in the domain of time series analysis and hydro-complexity, flood, drought, landslides and crop yield. For solving different hydrologic problems the potential of artificial intelligence tools and spectral analysis techniques were used which gives the research works an inter disciplinary character. Life Member of over 10 professional bodies and Member of International Commission on Statistical Hydrology (ICSH-IAHS), Won the Sivapalan Young Scientist Travel Award (SYSTA) and attended 100th Scientific Assembly of 2022 in Montpellier France. Currently active reviewer of over 80 Science Citation Indexed journals and Won the Outstanding reviewer recognition of ASCE in 2019 and 2020.

My main research interests are concerned with nonlinear wave dynamics and physical oceanography (general nonlinear wave theory, wind waves, freak waves, internal waves, wave patterns, basic fluid dynamics, instabilities, remote sensing of sea surface and processes in the ocean interior, air-sea interface and the physical processes there, tsunami, tsunami seismic precursors). In 1977-1997 I was at Shirshov Institute for Oceanography (Moscow, Russia), in 1997-2000 was The Benson Ford Professor of Applied Mathematics at the University College Cork (Ireland), since 2000 I am Professor of Applied Mathematics at Keele University (UK).

My main research interests are concerned with nonlinear wave dynamics and physical oceanography (general nonlinear wave theory, wind waves, freak waves, internal waves, wave patterns, basic fluid dynamics, instabilities, remote sensing of sea surface and processes in the ocean interior, air-sea interface and the physical processes there, tsunami, tsunami seismic precursors). In 1977-1997 I was at Shirshov Institute for Oceanography (Moscow, Russia), in 1997-2000 was The Benson Ford Professor of Applied Mathematics at the University College Cork (Ireland), since 2000 I am Professor of Applied Mathematics at Keele University (UK).

+44-(0)1782-733267

Olivier Talagrand is honorary Senior Scientist at Centre National de la Recherche Scientifique, France. He has worked on numerical modelling of the atmospheric circulation and on numerical weather prediction. He has contributed to the theory of assimilation of meteorological observations, particularly through the development of appropriate variational methods (‘4D-Var’). He has also worked on meteorological probabilistic prediction, and on the circulation of the atmospheres of the telluric planets (Mars, Venus, Titan). More recently, he has used his expertise for the study and predictability of the Solar Cycle.

Olivier Talagrand is honorary Senior Scientist at Centre National de la Recherche Scientifique, France. He has worked on numerical modelling of the atmospheric circulation and on numerical weather prediction. He has contributed to the theory of assimilation of meteorological observations, particularly through the development of appropriate variational methods (‘4D-Var’). He has also worked on meteorological probabilistic prediction, and on the circulation of the atmospheres of the telluric planets (Mars, Venus, Titan). More recently, he has used his expertise for the study and predictability of the Solar Cycle.

+33-(0)1-64153623

1 (719) 501-3186

I have worked in most areas of interplanetary, cometary, magnetospheric and ionospheric plasmas. A little on solar flares.

I have worked in most areas of interplanetary, cometary, magnetospheric and ionospheric plasmas. A little on solar flares.

+32-(0)2-3730552