Research Fellowships

Building scientific relationships and supporting young scientists

EUMETSAT, in close partnership with our Member States, supports young scientists in developing new uses and applications of our mission products. These EUMETSAT fellowships are close cooperative efforts with host institutions from across Europe.

Last Updated

31 October 2024

Published on

09 April 2020

EUMETSAT, in close partnership with our Member States, supports young scientists in developing new uses and applications of our mission products. These EUMETSAT fellowships are close cooperative efforts with host institutions from across Europe.

2024

Title	Report	Author’s name/affiliation
The usefulness of additional cloud and tracking information for the assimilation of AMVs		Francis Warrick Niels Bormann ECMWF
Towards an automated severe weather warning tool based on MTG LI and FCI data		Felix Erdmann Dieter Poelman RMI
Transformer-based precipitation nowcasting using satellite data		Caglar Kucuk Federal Institute for Geology, Geophysics, Climatology and Meteorology, Austria
Retrieving high latitude precipitation from next generation European microwave sensors exploiting machine learning approaches: radiative transfer simulation for snowfall case		Leo Pio D’Adderio, CNR Italy
First look at effects of inhomogeneities within satellite footprints using forward simulations with RadSim		Ernst Hellbär, Robin Faulwetter, Christina Köpken-Watts, DWD
Using hyperspectral IR sounder data to diagnose convective instability introduction and plans		Ruth Taylor, Met Office UK
Coupling Atmospheric Dynamics and Ocean with Winds from Satellites		Stavroula Biri, Ad Stoffel, KNMI
Progress on the use of Atmospheric Motion Vectors at ECMWF		Francis Warrick, ECMWF
Expanding the assimilation of microwave sounders at ECMWF		Liam Steele, Niels Bormann, David Duncan, Alan Geer, ECMWF
Towards an allsky assimilation of infrared satellite observations in NWP models		Ethel Villeneuve, ECMWF

2023

Title	Author’s name/affiliation
Improving Ocean Surface Temperature for NWP using All-Sky Microwave Imager Observations	Tracy Scanlon, Alan Geer, Niels Bormann, Philip Browne, Tony McNally, ECMWF
Assimilating FY 3E MWHS 2 observations, and assessing all sky humidity sounder thinning scales	Liam Steele , Niels Bormann David Duncan
Multi-source thunderstorm nowcasting with AI	Jussi Leinonen , Ulrich Hamann, Urs Germann Federal Office of Meteorology and Climatology MeteoSwiss
Lightning trends and what they tell us about the thunderstorm characteristics	Felix Erdmannm, Dieter Poelman, RMI
Harnessing Transformer-based models for enhanced nowcasting of radar data Showcases using radar or satellite data	Caglar Kucuk Federal Institute for Geology, Geophysics, Climatology and Meteorology, Austria
Retrieving high latitude precipitation from next generation European microwave sensors exploiting machine learning approaches: preliminary analysis	Leo Pio D’Adderio, CNR ISAC
Progress on the use of Atmospheric Motion Vectors at ECMWF	Francis Warrick, ECMWF
Towards a fuller exploitation of the geostationary radiances in NWP at ECMWF	Samuel Quesada-Ruiz, ECMWF
Exploitation of MW imager radiances with a focus on extracting ocean surface temperature information for use in a coupled ocean-atmosphere system	Tracy Scanlon, Alan Geer, Niels Bormann, Philip Browne, Tony McNally, ECMWF
Expanding the assimilation of microwave humidity sounders at ECMWF	Liam Steele, David Duncan & Niels Bormann, ECMWF

2022

Title	Author’s name/affiliation
Microwave imagers ECMWF IFS: adding further observations and improving convective anvils in the observation operator	Tracy Scanlon, Alan Geer, Niels Bormann
Using skin temperature increments from microwave observations in a coupled atmosphere-ocean model	Tracy Scanlon, Alan Geer, Niels Bormann, Philip Browne, Tony McNally, ECMWF
Prospects for improving AMV spatial coverage between geostationary and polar AMVs: LeoGeo and Dual-Sentinel	Francis Warrick and Niels Bormann
Characterising and reducing uncertainties in all-sky microwave radiative transfer	Vasileios Barlakas, Chalmers University of Technology
Towards triple collocation analysis of 4D wind observations	Federico Cossu, The Institute of Marine Sciences
Transformed retrievals of IASI observations at the Met Office on using thousands of channels and a strategy for assimilation	Peter Levens, Met Office
Preparation for the assimilation of the future IRS sounder in NWP models	Olivier Coopmann, CNRM
Multi-source nowcasting of thunderstorm hazards with convolutional-recurrent deep learning network	Jussi Leinonen, MeteoSwiss
Analyzing automatically detected lightning jumps from optical Geostationary Lightning Mapper (GLM) lightning observations	Felix Erdmann, RMI Belgium
Improving the Use of Atmospheric Motion Vectors in NWP	Francis Warrick, ECMWF
Maximising the Exploitation of Window Channel Radiance Observations from Geostationary Spacecraft	Samuel Quesada-Ruiz, ECMWF
Expanding All-sky AMSU-A Assimilation to Its Window Channels	David Duncan, ECMWF
Developments in the all-sky assimilation of microwave imagers at ECMWF	Tracy Scanlon, ECMWF
Towards a data-driven nowcasting of severe weather with Meteosat Third Generation	Çağlar Küçük, ZAMG

2021

Title	Author’s name/affiliation
Characterising and reducing uncertainties in all-sky microwave radiative transfer	Vasileios Barlakas, Chalmers University of Technology
Towards triple collocation analysis of 4D wind observations	Federico Cossu, The Institute of Marine Sciences
Transformed retrievals of IASI observations at the Met Office on using thousands of channels and a strategy for assimilation	Peter Levens, Met Office
First steps in the preparation for the assimilation of the future IRS sounder in NWP models	Olivier Coopmann, CNRM
Evaluating MTG benefits in thunderstorm nowcasting based on machine learning	Jussi Leinonen, MeteoSwiss
Towards an automated severe weather warning tool based on MTG-LI and FCI data	Felix Erdmann, RMI Belgium
Improving the Use of Atmospheric Motion Vectors in NWP	Francis Warrick, ECMWF
Towards a fuller exploitation of the SEVIRI window channel in NWP	Samuel Quesada-Ruiz, ECMWF
Moving AMSU-A to all-sky assimilation at ECMWF	David Duncan, ECMWF

2020

Title	Author’s name/affiliation
Uncertainty characterization of microwave and sub-millimeter in all-sky radiative transfer	Vasileios Barlakas, Chalmers University of Technology
Assimilation of radiance data from geostationary satellites	Chris Burrows, ECMWF
Impact of IRS observations in a convection permitting model (France)	Olivier Coopmann, CNRM
On the 4-D consistency of satellite wind products for regional NWP data assimilation	Federico Cossu, The Institute of Marine Sciences
Recent Microwave Sounder Developments at ECMWF	David Duncan, ECMWF
GNSS-R Observation Operator Development and Impact Evaluation (GOODIE) Epilogue	G Grieco, KNMI
Progress in the use of Atmospheric Motion Vectors at ECMWF	Katie Lean, ECMWF
Implementing transformed retrievals (scale projected states) of IASI observations at the Met Office	Peter Levens, Met Office
Extended use microwave imager data in all-sky data assimilation at ECMWF	Katrin Lonitz, ECMWF
European High-Resolution Soil Moisture Analysis (EHRSOMA)	Jasmin Vural, ZAMG

2019

Title	Author’s name/affiliation
GNSS-R Observation Operator Development and Impact Evaluation (GOODIE) - Updates from the second year of activities	G Grieco, KNMI
European High-Resolution Soil Moisture Analysis (EHRSOMA)	Jasmin Vural, ZAMG
Use of satellite soil moisture information for Nowcasting-Short Range NWP forecasts	Paride Ferrante, COMET/Italian AirForce Operational Center for Meteorology
Investigating the assimilation of MSG SEVIRI water vapour radiance data to extract wind information with an Ensemble Kalman Filter	Marc Pondrom, Andreas Rhodin, Christina Köpken-Watts (DWD)
Assimilation of MW sounder radiances from polar orbiting satellites at ECMWF	Peter Weston, Niels Bormann and Alan Geer, ECMWF
Evaluation of GOES-16 AMVs and investigation into low level AMV height assignment	Katie Lean and Niels Bormann, ECMWF
Recent Advances in the All-Sky Assimilation of Microwave Imager data	Katrin Lonitz, ECMWF
Assimilation of radiance data from geostationary satellites	Chris Burrows, ECMWF

2018

Title	Author’s name/affiliation
Improved Use of Microwave Imager Data in All-Sky Data Assimilation at ECMWF	Katrin Lonitz, ECMWF
Evaluation of AMVs from Indian Ocean and GOES satellites at ECMWF	Katie Lean and Niels Bormann, ECMWF
Assimilation of MW sounder radiances from polar orbiting satellites at ECMWF	Peter Weston, Niels Bormann and Alan Geer, ECMWF
Dynamic Infrared Land Surface Emissivity Atlas based on IASI Retrievals	Rory Gray, Met Office
GNSS-R Observation Operator Development and Impact Evaluation (GOODIE)	G Grieco, KNMI
Investigating the assimilation of geostationary water vapour radiance data to extract wind information with an Ensemble Kalman Filter	Marc Pondrom, Andreas Rhodin, Christina Köpken-Watts (DWD)
Progress in the assimilation of geostationary radiances at ECMWF	Chris Burrows, ECMWF
Use of satellite soil moisture information for Nowcasting-Short Range NWP forecasts	Paride Ferrante, COMET/Italian AirForce Operational Center for Meteorology
European High-Resolution Soil Moisture Analysis (EHRSOMA)	Jasmin Vural, ZAMG
VALIASI_ VALidation of IASI Level 2 products	Eliezer Sepulveda, AEMET

2017

Title	Author’s name/affiliation
(Planned) improved use of microwave imager data in the all-sky data assimilation at ECMWF	Katrin Lonitz, ECMWF
Preliminary study for the use of soil moisture information for Nowcasting Short Range	Katie Lean and Niels Bormann, ECMWF
Assimilation of MW sounder radiances from polar orbiting satellites at ECMWF	Peter Weston, Niels Bormann, Alan Geer and Heather Lawrence, ECMWF
Dynamic Infrared Land Surface Emissivity Atlas based on IASI Retrievals	Rory Gray, Met Office
GNSS-R Observation Operator Development and Impact Evaluation (GOODIE) - Introduction and work plan	G Grieco, KNMI
Geostationary satellite radiances impact in NWP at ECMWF	Julie Letertre-Danczak, ECMWF
Impact of PCA on the assimilation of hyperspectral infrared sounder data in the frame of the AROME mesoscale convection-permitted NWP model	Javier Andrey-Andres, Nadia Fourrié, Vincent Guidard CNRM, Météo-France and CNRS
Preliminary study for the use of soil moisture information for Nowcasting-Short Range NWP Forecast	Valerio Cardinali, COMET
Scatterometer winds in the Arctic model system at MET Norway	Teresa Valkonen, Norwegian Meteorological Institute
VALIdation of IASI Level 2 products	Eliezer Sepulveda, AEMET

2016

Title	Author’s name/affiliation
An Evaluation of FY-3C MWHS-2 and its potential to improve forecast accuracy at ECMWF	Heather Lawrence, ECMWF
Preliminary study for the use of soil moisture information for Nowcasting Short Range	Valerio Cardinali, COMET
Validation of IASI Level 2 products	Eliezer Spulveda
The use of ASCAT winds in NWP model systems at MET Norway	Teresa Valkonen, Norwegian Meteorological Institute
Impact of PCA on the assimilation of hyperspectral infrared sounder data in the frame of the AROME esoscale convection-permitted NWP model	Javier Andrey-Andres, CNRM, Météo-France and CNRS
Geo satellite assimilation and dust detection with IR measurements in the weather forecast	Julie Letertre-Danczak, ECMWF
Development of a dynamic infrared land surface emissivity atlas based on IASI retrievals	Rory Gray, Met Office
Assessment of new AMV data in the ECMWF system	Katie Lean, Niels Bormann and Kirsti Salonen, ECMWF

2015

Title	Author’s name/affiliation
Observation Errors for AMSU-A and a first look at the FY-3C MWHS-2 instrument	Heather Lawrence, ECMWF
Investigation of humidity variances and correlations towards the assimilation of WV radiances from MSG-SEVIRI and MTG-IRS into the DWD LETK	Dora Foehring, DWD
Improved use of microwave imager data in all-sky data assimilation at ECMWF	Katrin Lonitz and Alan Geer, ECMWF
Status on the use of scatterometer winds in the HARMONIE model system at MET Norway	Teresa Valkonen, Norwegian Meteorological Institute
Preliminary results of the use of hyperspectral radiances using a principal component analysis in a convection permitting model	Javier Andrey-Andres, CNRM, Météo-France and CNRS
Geo-satellite monitoring and Dust detection with IASI measurements in the weather forecast	Julie Letertre-Danczak, ECMWF
AMVs in the ECMWF system_ highlights of the operational and research activities	Kirsti Salonen and Niels Bormann, ECMWF

2014

Title	Author’s name/affiliation
AMVs in the ECMWF system - Overview of the recent operational and research activities	Kirsti Salonen and Niels Bormann, ECMWF
An Observing System Simulation Experiment to evaluate the future benefits of MTG-IRS data in a fine-scale weather forecast model	Stephanie Guedj, Météo-France, CNRS
CREW - Update of the evaluation of SEVIRI cloud parameter retrievals	Ulrich Hamann, Royal Netherlands Meteorological Institute
Derivation of AMVs from single-level retrieved MTG-IRS moisture fields	Laura Stewart, Met Office
Scatterometer winds in rapidly developing storms (SCARASTO) – First experiments on data assimilation of scatterometer winds	Teresa Valkonen, Norwegian Meteorological Institute
Understanding AMV errors using a simulation framework	Peter Lean, University of Reading
VALIASI - Validation of IASI trace gas retrievals by GB - FTIR measurements	Sven Kühl, AEMET
Developments in the use of AMSU-A, ATMS and HIRS data at ECMWF	Heather Lawrence, ECMWF