TEAM


Dr. José Enrique Adsuara

  • Affiliation: UV-ISP
  • Postdoctoral Researcher – WP2 & WP3
  • Hybrid modeling to link physics and machine learning models. Causal discovery and inference from data.

Dr. Bernhard Ahrens*

  • Affiliation: MPI-BGC
  • Scientist – WP2
  • Hybrid modeling of soil processes ranging from radiocarbon to heterotrophic respiration.
  • Techniques: universal differential equations and physics-informed neural networks.
  • Personal webpage

Dr. Ana Bastos*

  • Affiliation: MPI-BGC
  • Group leader – WP3
  • Climate extreme impacts and memory effects.
  • Personal webpage

Gunnar Behrens

Gunnar Behrens

  • Affiliation: DLR & CU
  • PhD Researcher – WP2
  • Machine learning based parametrizations of sub-grid-scale processes in climate models to enhance understanding on convection and its predictability.

Vitus Benson

  • Affiliation: MPI-BGC
  • Partial associate (pre-doctoral) – WP3
  • Spatio-temporal prediction of localized impacts to extreme weather.
  • Personal webpage

Diego Bueso

  • Affiliation: UV-ISP
  • PhD Researcher – WP3
  • Development and application of feature extraction and causal inference methods on remote sensing data for spatio-temporal modeling of interaction at multiple time scales of Earth system.

Dr. Nuno Carvalhais*

  • Affiliation: MPI-BGC
  • Group leader of the Model-Data Integration research group of the Department Biogeochemical Integration.
  • Terrestrial ecosystems; model-data integration; hybrid modeling.
  • Personal webpage

Jordi Cortes

  • Affiliation: UV-ISP
  • PhD Researcher – WP1
  • Applications of kernel methods and deep learning models to anomaly and extreme event detection owing to climate change processes.

Kevin Debeire

Kevin Debeire

  • Affiliation: DLR (Oberpfaffenhofen & Jena)
  • PhD Researcher – WP3
  • Causal discovery methods for climate model evaluation and for constraining uncertaninty in climate projection.

Emiliano Díaz

  • Affiliation: UV-ISP
  • PhD Researcher – WP3
  • Kernel methods, graphical models and causality, with the focus on Earth science applications.

Dr. Gregory Duveiller

  • Affiliation: MPI-BGC
  • Research Scientist – WP1 and WP2
  • Investigating land-climate interactions based on satellite remote sensing.
  • Personal webpage


Reda ElGhawi

  • Affiliation: MPI-BGC
  • PhD Researcher – WP3
  • Hybrid modeling approaches to land-surface modeling; through the integration of deep learning techniques and process-based models in the framework of Earth system models.
  • Personal webpage

Dr. Miguel Ángel Fernández

  • Affiliation: UV-ISP
  • Postdoctoral Researcher – WP3
  • Understanding and designing explainable deep generative models and machine attention mechanisms to be deployed in anomaly and extreme event detection.

Dr. Evgenia Galytska

Dr. Evgenia Galytska

  • Affiliation: University of Bremen, DLR
  • Research Scientist – WP3
  • Understanding Arctic-midlatitude teleconnections in CMIP6 models using causal networks.


Dr. Luke Gloege

  • Affiliation: CU
  • Postdoctoral Researcher – WP2
  • Investigating hybrid machine learning methods upscaling fluxtower observations.

Julia Gottfriedsen

Julia Gottfriedsen

  • Affiliation: DLR, Ludwig Maximilian University of Munich
  • PhD Researcher – WP3
  • Deep learning based drought characterization and understanding of observational and climate model data.

Carolin Grumbach

Carolin Grumbach

  • Affiliation: University of Bremen, DLR, CU
  • PhD Researcher – WP2
  • Machine learning based schemes for the physical parameterizations in the ICON-A model with focus on the radiation parameterization.

Arthur Grundner

Arthur Grundner

  • Affiliation: DLR & CU
  • PhD Researcher – WP2
  • Improvement of cloud parameterizations in a climate model by utilizing high-resolution data for the training of machine learning parameterizations.

Fernando Iglesias-Suarez

Dr. Fernando Iglesias-Suarez

  • Affiliation: DLR
  • Postdoctoral Researcher – WP2
  • Developing and applying machine learning techniques to advance climate models and analysis, understanding links and interactions with other parts of the Earth system to address the scientific challenges of global change.
  • Personal webpage


J. Emmanuel Johnson

  • Affiliation: UV-ISP
  • PhD Researcher – WP3
  • Estimating uncertainty, spatial-temporal information content and similarity in Earth system data using kernel methods, Gaussian processes and normalizing flows.

Arndt Kaps

Arndt Kaps

  • Affiliation: DLR, University of Bremen
  • PhD Researcher – WP1
  • Machine learning based approaches to evaluate clouds in climate models to leverage the information available from satellites and bridge the gap to model data.

Soufiane Karmouche

Soufiane Karmouche

  • Affiliation: University of Bremen, DLR
  • PhD Researcher – WP3
  • Investigating teleconnections between major modes of climate variability with causal discovery.

Rémi Kazeroni

Dr. Rémi Kazeroni

  • Affiliation: DLR
  • Research Software Engineer – WP1-4
  • Technical development of the ESMValTool and of machine learning techniques in the ESMValTool framwork.

Basil Kraft

  • Affiliation: MPI-BGC
  • PhD Researcher – WP1 / WP2 (TBD)
  • Hybrid modeling, using novel deep learning approaches for modeling of ecosystem fluxes (TBD).
  • Personal webpage

Dr. Kara Lamb

  • Affiliation: CU
  • Research Scientist – WP2
  • Investigating hybrid physics machine-learning approaches for modeling aerosol and cloud microphysics from observations and atmospheric simulations; geometric deep learning
  • Personal webpage

Laura Martínez Ferrer

  • Affiliation: UV-ISP
  • PhD Researcher – WP1
  • Remote sensing researcher using deep learning to upscale high resolution carbon fluxes and developing machine learning methods for crop yield estimation from climate and multi-sensor data.

Adam Massmann

  • Affiliation: CU
  • PhD Researcher – WP2
  • human-land-atmosphere interaction; methods for blending conceptual models and data; tools for collaboration; how we select, communicate, and analyze assumptions in Earth science
  • Personal webpage

Dr. Álvaro Moreno Martínez

  • Affiliation: UV-ISP
  • Postdoctoral Researcher – WP1 & WP2
  • Remote Sensing scientist developing  physical and statistical models and operational methodologies for the study of vegetation cover.

Dr. Sungmin O*

  • Affiliation: MPI-BGC
  • Postdoctoral Researcher – WP1
  • Use of machine learning (ML) in land surface modeling, Development of ML-based observational products (SoMo.ml).
  • Personal webpage

Aytaç Paçal

  • Affiliation: DLR
  • PhD Researcher – WP3
  • Detecting and understanding extreme weather events using machine learning.

Talytha Pereira

Talytha Pereira

  • Affiliation: DLR, University of Bremen
  • PhD Researcher – WP4
  • Machine Learning-based constraints of climate feedbacks and projections using causal models.

Albrecht Schall

  • Affiliation: MPI-BGC
  • PhD Researcher – WP3
  • Deep Learning based climate extremes and impact detection and anticipation.
  • (Uncertainty-aware) generative models.
  • Personal webpage


Manuel Schlund

Manuel Schlund

  • Affiliation: DLR
  • PhD Researcher – WP4
  • Constraining uncertainties in climate model projections with machine learning methods.

Mierk Schwabe

Dr. Mierk Schwabe

  • Affiliation: DLR
  • Research Scientist – WP2
  • Parameterizations of atmospheric gravity waves in climate models based on machine learning.

Dr. Eva Sevillano Marco

  • Affiliation: UV-ISP
  • Postdoctoral Research Coordination
  • Coordination & Project Management at ISP. Environmentalist & Remote Sensing Scientist.

Dr. Sara Shamekh

  • Affiliation: CU
  • Postdoctoral Researcher – WP2
  • Investigating hybrid machine learning methods for the parametrization of the planetary boundary layer turbulence.

Breixo Soliño Fernández

Breixo Soliño Fernández

  • Affiliation: DLR
  • Research Software Engineer – WP1-4
  • Research Software Engineering for Artificial Intelligence topics.
  • Personal webpage

Dr. Gherardo Varando

  • Affiliation: UV-ISP
  • Postdoctoral Researcher – WP3
  • Causal discovery and inference from spatio-temporal data.

Katja Weigel

Dr. Katja Weigel

  • Affiliation: University of Bremen, DLR
  • Research Scientist – WP3
  • Analysis and detection of extreme events with the focus on droughts in climate model and reanalysis data using classical indices as well as testing new tool like the Maximal Divergent Interval (MDI) algorithm.

Dr. Alexander Winkler

  • Affiliation: MPI-BGC
  • Postdoctoral Researcher – WP2 and WP4
  • Linking mechanistic models and observational data: Integration of data-driven approaches in Earth system models, specifically hybrid-modeling of land-atmosphere interactions (WP2), and constraining multi-model estimates of key entities in the Earth system using observations (i.e. Emergent Constraints, WP4).
  • Personal webpage

Xin Yu

  • Affiliation: MPI-BGC
  • PhD Researcher – WP3
  • Legacy effects of extreme events on ecosystem carbon-cycle.
  • Personal webpage

Weiwei Zhan

  • Affiliation: CU
  • PhD Researcher – WP2
  • Investigating the terrestrial carbon cycle using machine learning and flux tower data

Dr. Wenli Zhao

  • Affiliation: CU
  • Postdoctoral Researcher – WP2
  • Investigating physics machine-learning approaches for modeling evapotranspiration and canopy interception based on flux tower data
  • Personal webpage

* indicates partial affiliation to USMILE.