Retired student of our planet

Retired student of our planet

Jens Klump is a geochemist by training and Team Leader Geoscience Analytics in CSIRO Mineral Resources and is based in Perth, Western Australia. His involvement in the development of publication and citation of research data through Digital Object Identifiers (DOI) sparked further work on research data infrastructures, such as enterprise data management systems and long-term digital archives. Jens' work focuses on data in minerals exploration, looking at data capture and data analysis, including automated data and metadata capture, sensor data integration, both in the field and in the laboratory. These data are the basis of data processing workflows for data analysis by statistical methods, machine learning and numerical modelling. Jens is the vice-president of the International Geo Sample Number Implementation Organization (IGSN). The organisation coordinates the development and introduction of persistent identifiers for physical specimens of research materials.

Jens Klump is a geochemist by training and Team Leader Geoscience Analytics in CSIRO Mineral Resources and is based in Perth, Western Australia. His involvement in the development of publication and citation of research data through Digital Object Identifiers (DOI) sparked further work on research data infrastructures, such as enterprise data management systems and long-term digital archives. Jens' work focuses on data in minerals exploration, looking at data capture and data analysis, including automated data and metadata capture, sensor data integration, both in the field and in the laboratory. These data are the basis of data processing workflows for data analysis by statistical methods, machine learning and numerical modelling. Jens is the vice-president of the International Geo Sample Number Implementation Organization (IGSN). The organisation coordinates the development and introduction of persistent identifiers for physical specimens of research materials.

Dr. Ge Peng has over twenty years of technical experience in oceanic and atmospheric model and data product development and validation, and over five years in scientific data management and stewardship. • Expert knowledge of full life cycle of numerical modeling and data evaluation. • Extensive experience in applying general circulation models to atmospheric and oceanic systems or using observations to examine their seasonal, inter-annual, and decadal variability. • Strong background and extensive experience in data assimilation and statistical analysis with both observational data products and model output. • Extensive experience in evaluating data product quality and stewardship maturity. • Expert knowledge of national and international metadata standards, NOAA scientific data appraisal and archive procedures, NOAA research-to-operation and archival processes for climate data records, life cycle and best practices of archiving and stewarding scientific data.

Dr. Ge Peng has over twenty years of technical experience in oceanic and atmospheric model and data product development and validation, and over five years in scientific data management and stewardship. • Expert knowledge of full life cycle of numerical modeling and data evaluation. • Extensive experience in applying general circulation models to atmospheric and oceanic systems or using observations to examine their seasonal, inter-annual, and decadal variability. • Strong background and extensive experience in data assimilation and statistical analysis with both observational data products and model output. • Extensive experience in evaluating data product quality and stewardship maturity. • Expert knowledge of national and international metadata standards, NOAA scientific data appraisal and archive procedures, NOAA research-to-operation and archival processes for climate data records, life cycle and best practices of archiving and stewarding scientific data.

+49-551-900339-19

Trace gas and isotope measurements from ice cores. Paleo back to 800,000 years before present.

Trace gas and isotope measurements from ice cores. Paleo back to 800,000 years before present.

Retired student of our planet

Retired student of our planet

Gelfan Alexander is a Doctor of Sciences in Physics and Mathematics, Director of Institute of Water Problems. His main areas of research related to the development of hydrological models and their use for hydrological prediction and forecasts, including those for catastrophic floods, the long-term ensemble forecasts of spring flood, the sensitivity of estimates of the hydrological cycle to climate change and anthropogenic impacts on the river catchment.

Gelfan Alexander is a Doctor of Sciences in Physics and Mathematics, Director of Institute of Water Problems. His main areas of research related to the development of hydrological models and their use for hydrological prediction and forecasts, including those for catastrophic floods, the long-term ensemble forecasts of spring flood, the sensitivity of estimates of the hydrological cycle to climate change and anthropogenic impacts on the river catchment.

+7(499) 783-3580

+49 471 4831 1220

Optical Remote Sensing: Spectral characteristics of Arctic periglacial landscapes, Arctic coastal and inland waters; Multi-scale working: laboratory - field work - mesoscale raster data on interdisciplinary level (geology, limnology, hydrology, land cover) Regional evaluation of Remote Sensing products using ground data and expert knowledge: are the already available terrestrial products reliable for the high latitudes? Adaption of Remote Sensing products into models.

Optical Remote Sensing: Spectral characteristics of Arctic periglacial landscapes, Arctic coastal and inland waters; Multi-scale working: laboratory - field work - mesoscale raster data on interdisciplinary level (geology, limnology, hydrology, land cover) Regional evaluation of Remote Sensing products using ground data and expert knowledge: are the already available terrestrial products reliable for the high latitudes? Adaption of Remote Sensing products into models.

+49 331 288 2227

Jens Klump is a geochemist by training and Team Leader Geoscience Analytics in CSIRO Mineral Resources and is based in Perth, Western Australia. His involvement in the development of publication and citation of research data through Digital Object Identifiers (DOI) sparked further work on research data infrastructures, such as enterprise data management systems and long-term digital archives. Jens' work focuses on data in minerals exploration, looking at data capture and data analysis, including automated data and metadata capture, sensor data integration, both in the field and in the laboratory. These data are the basis of data processing workflows for data analysis by statistical methods, machine learning and numerical modelling. Jens is the vice-president of the International Geo Sample Number Implementation Organization (IGSN). The organisation coordinates the development and introduction of persistent identifiers for physical specimens of research materials.

Jens Klump is a geochemist by training and Team Leader Geoscience Analytics in CSIRO Mineral Resources and is based in Perth, Western Australia. His involvement in the development of publication and citation of research data through Digital Object Identifiers (DOI) sparked further work on research data infrastructures, such as enterprise data management systems and long-term digital archives. Jens' work focuses on data in minerals exploration, looking at data capture and data analysis, including automated data and metadata capture, sensor data integration, both in the field and in the laboratory. These data are the basis of data processing workflows for data analysis by statistical methods, machine learning and numerical modelling. Jens is the vice-president of the International Geo Sample Number Implementation Organization (IGSN). The organisation coordinates the development and introduction of persistent identifiers for physical specimens of research materials.

Alexander A. Kokhanovsky graduated from the Physical Department of the Belarussian State University, Minsk, Belarus, in 1983. He has received Ph. D. degree in optical sciences from the B. I. Stepanov Institute of Physics, National Academy of Sciences of Belarus, Minsk, Belarus, in 1991. The PhD work was devoted to modeling light scattering properties of aerosol media and foams. His habilitation work (Main Geobphysical Observatory, St. Petersburg, Russia 2011) was aimed at cloud and snow remote sensing from space. Alexander Kokhanovsky was a member of the atmospheric optics group at the Laboratory of Light Scattering Media Optics Lab at Institute of Physics in Minsk, Belarus (1983-2004) and the SCIAMACHY/ENVISAT algorithm development team (Institute of Environmental Physics, University of Bremen, Bremen, Germany, 2001-2013). He has designed aerosol and cloud remote sensing algorithms for the imaging polarimeter (3MI) to be launched in 2021 on board EUMETSAT Polar System-Second Generation (EPS-SG) working at EUMETSAT in Darmstadt, Germany ( 2014-2017). Currently, his research interests are directed towards modeling light propagation and scattering in terrestrial atmosphere and surface including ice and snow. He is employed by VITROCISET Belgium SPRL / A Leonardo Company( Darmstadt, Germany) from 2013. Dr. Kokhanovsky is the author of books Light Scattering Media Optics: Problems and Solutions (Chichester: Springer-Praxis, 1999, 2001, 2004), Polarization Optics of Random Media (Berlin: Springer-Praxis, 2003), Cloud Optics (Amsterdam: Elsevier, 2006), and Aerosol Optics (Berlin: Springer-Praxis, 2008). He published more than 300 papers( https://sites.google.com/site/kokhanovsky2016/consultancy) in the field of environmental optics, radiative transfer, remote sensing, and light scattering.

Alexander A. Kokhanovsky graduated from the Physical Department of the Belarussian State University, Minsk, Belarus, in 1983. He has received Ph. D. degree in optical sciences from the B. I. Stepanov Institute of Physics, National Academy of Sciences of Belarus, Minsk, Belarus, in 1991. The PhD work was devoted to modeling light scattering properties of aerosol media and foams. His habilitation work (Main Geobphysical Observatory, St. Petersburg, Russia 2011) was aimed at cloud and snow remote sensing from space. Alexander Kokhanovsky was a member of the atmospheric optics group at the Laboratory of Light Scattering Media Optics Lab at Institute of Physics in Minsk, Belarus (1983-2004) and the SCIAMACHY/ENVISAT algorithm development team (Institute of Environmental Physics, University of Bremen, Bremen, Germany, 2001-2013). He has designed aerosol and cloud remote sensing algorithms for the imaging polarimeter (3MI) to be launched in 2021 on board EUMETSAT Polar System-Second Generation (EPS-SG) working at EUMETSAT in Darmstadt, Germany ( 2014-2017). Currently, his research interests are directed towards modeling light propagation and scattering in terrestrial atmosphere and surface including ice and snow. He is employed by VITROCISET Belgium SPRL / A Leonardo Company( Darmstadt, Germany) from 2013. Dr. Kokhanovsky is the author of books Light Scattering Media Optics: Problems and Solutions (Chichester: Springer-Praxis, 1999, 2001, 2004), Polarization Optics of Random Media (Berlin: Springer-Praxis, 2003), Cloud Optics (Amsterdam: Elsevier, 2006), and Aerosol Optics (Berlin: Springer-Praxis, 2008). He published more than 300 papers( https://sites.google.com/site/kokhanovsky2016/consultancy) in the field of environmental optics, radiative transfer, remote sensing, and light scattering.

Working experiences in physical oceanography. Participation to national and international oceanographic programs supported by the Italian Ministry of Environment, Italian Ministry of Research, UNESCO IOC, European Commission, European Space Agency. Participation to the development and implementation of Operational Oceanography in the Mediterranean. Co-author/author of 50 peer reviewed papers.

Working experiences in physical oceanography. Participation to national and international oceanographic programs supported by the Italian Ministry of Environment, Italian Ministry of Research, UNESCO IOC, European Commission, European Space Agency. Participation to the development and implementation of Operational Oceanography in the Mediterranean. Co-author/author of 50 peer reviewed papers.

Dr. Ge Peng has over twenty years of technical experience in oceanic and atmospheric model and data product development and validation, and over five years in scientific data management and stewardship. • Expert knowledge of full life cycle of numerical modeling and data evaluation. • Extensive experience in applying general circulation models to atmospheric and oceanic systems or using observations to examine their seasonal, inter-annual, and decadal variability. • Strong background and extensive experience in data assimilation and statistical analysis with both observational data products and model output. • Extensive experience in evaluating data product quality and stewardship maturity. • Expert knowledge of national and international metadata standards, NOAA scientific data appraisal and archive procedures, NOAA research-to-operation and archival processes for climate data records, life cycle and best practices of archiving and stewarding scientific data.

Dr. Ge Peng has over twenty years of technical experience in oceanic and atmospheric model and data product development and validation, and over five years in scientific data management and stewardship. • Expert knowledge of full life cycle of numerical modeling and data evaluation. • Extensive experience in applying general circulation models to atmospheric and oceanic systems or using observations to examine their seasonal, inter-annual, and decadal variability. • Strong background and extensive experience in data assimilation and statistical analysis with both observational data products and model output. • Extensive experience in evaluating data product quality and stewardship maturity. • Expert knowledge of national and international metadata standards, NOAA scientific data appraisal and archive procedures, NOAA research-to-operation and archival processes for climate data records, life cycle and best practices of archiving and stewarding scientific data.

Turbulence Stochastic and nonlinear variability in geophysics Multifractal analysis and modelling Physics-biology couplings in marine ecosystems Micro-scale variability in oceanography Animal behaviour (copepods)

Turbulence Stochastic and nonlinear variability in geophysics Multifractal analysis and modelling Physics-biology couplings in marine ecosystems Micro-scale variability in oceanography Animal behaviour (copepods)

+33 616635093

Dr Schultz received his PhD in atmospheric physics from the University of Heidelberg in 1991 and moved into atmospheric chemistry to pursue his dissertation at Forschungszentrum Jülich/University of Wuppertal in 1995. He was Postdoc at Forschungszentrum Jülich and Harvard University and had a researcher position with group responsibility at Max-Planck-Institute for Meteorology, Hamburg, from 1999-2006. He then became group leader for global chemistry climate modelling at IEK-8, Forschungszentrum Jülich. In 2017 he moved to the Jülich Supercomputing Centre to build up a new research line for Earth System Data Exploration with focus on machine learning for Earth System science applications and exploration of novel supercomputing concepts. Dr Schultz was awarded the ERC Advanced grant IntelliAQ in 2018 and coordinates the BMBF funded DeepRain project. He has served as reviewer for many international journals, scientific programs and proposals, and coordinated several international and national research projects. Dr Schultz is (co)-author of over 100 publications in the peer-reviewed literature, with an h-index of 50 (Google Scholar).

Dr Schultz received his PhD in atmospheric physics from the University of Heidelberg in 1991 and moved into atmospheric chemistry to pursue his dissertation at Forschungszentrum Jülich/University of Wuppertal in 1995. He was Postdoc at Forschungszentrum Jülich and Harvard University and had a researcher position with group responsibility at Max-Planck-Institute for Meteorology, Hamburg, from 1999-2006. He then became group leader for global chemistry climate modelling at IEK-8, Forschungszentrum Jülich. In 2017 he moved to the Jülich Supercomputing Centre to build up a new research line for Earth System Data Exploration with focus on machine learning for Earth System science applications and exploration of novel supercomputing concepts. Dr Schultz was awarded the ERC Advanced grant IntelliAQ in 2018 and coordinates the BMBF funded DeepRain project. He has served as reviewer for many international journals, scientific programs and proposals, and coordinated several international and national research projects. Dr Schultz is (co)-author of over 100 publications in the peer-reviewed literature, with an h-index of 50 (Google Scholar).

+49 2461 61 96870

+49 331 288 1748

+49-(0)6131-305333