Marlies Path (group assistant). 

Marlies Path is a long-term associate of University of Potsdam. 

Jan O. Haerter (PI)

Jan is professor for computational and climate physics at Uni Potsdam. His main research interest is in tropical convection and the associated circulation. Jan teaches various courses in ClEWS and physics and runs the DakE field campaign.

Nicolas Da Silva (external postdoc)

Nicolas is a postdoc working on the organization of mesoscale convective systems, their tendency to trigger extreme rainfall, and their evolution in a future warmer climate.

Maxime Colin (external Postdoc)

Maxime is a postdoc working on deep convection and tropical meteorology. He is particularly interested in applying physics to study climate and cloud processes, such as cloud-microphysics, ocean-atmosphere interactions, mesoscale dynamics or the Madden-Julian Oscillation. He has worked on convection, El Niño, monsoons, and updraft dynamics, mostly using comprehensive models, but also simple models, climate models, and reanalyses. 

Yahaya Bashiru (PhD Student)

Yahaya Bashiru (Bash) based at Leibniz ZMT in Bremen is transitioning to Uni Potsdam as a DAAD Ph.D. student fellow in January 2024. Yahaya works on the West African Monsoon and is running a pilot field study in Senegal. 

Diana L. Monroy (PhD Student)

Diana is a PhD student working in shallow convection. Her main project focuses in convective organization observed in stratocumulus clouds using a network approach. She also collaborates actively in the DakE project.

Ashly Wilson (PhD Student)

Ashly is a PhD student working on the interaction of tropical waves with convection and examining their role in mediating multiscale convective organization.

Lotta Bergfeld (Master Student)

Lotta is studying the CLEWS program and writing her master thesis about tropical diurnal self-aggregation under realistic wind shear conditions.

Mai-Britt Berghöfer (Master Student)

Mai-Britt is  studying the CLEWS program and writing her master thesis about nowcasting precipitation for Dakar  using random forest machine learning algorithm as part of the DakE project.