Back

Anurag

Dipankar

As the Director of Science for EXCLAIM, Anurag Dipankar provides strategic direction to achieve the project's scientific goals and coordinates the national and international activities related to the project. Anurag Dipankar has extensive experience in climate and weather modelling, large-eddy simulation, and convection research. He led the weather model development activities at the Centre for Climate Research Singapore, Meteorological Services Singapore (MSS). As MSS representative, he provided guidance to the WMO study group on Integrated Urban Services and participated in the committee overseeing the Urban Heat Island related research in Singapore (2016-2021). Between 2013 and 2018 he led the development of the large-eddy model ICON-LEM and also contributed to the development of the atmospheric general circulation model ICON-A at the Max Planck Institute for Meteorology in Hamburg. Prior to that, he worked as a postdoc at the Max Planck Institute towards the development of a heterogeneous multiscale modelling capability for ICON.

Session Chair

This person is not chairing any sessions.

Presenter

This person is not presenting any session, minisymposium or paper presentation.

Author

This person is not authoring any minisymposium or paper presentation.

Poster

P27 - Integrating the ICON4Py Python-Based Dynamical Core into ICON

Tuesday, June 27, 2023 19:30
Climate, Weather and Earth Sciences
Chemistry and Materials
Computer Science, Machine Learning, and Applied Mathematics
Applied Social Sciences and Humanities
Engineering
Life Sciences
Physics
With
Mauro Bianco (ETH Zurich / CSCS), Magdalena Luz (ETH Zurich), Christoph Muller and Daniel Hupp (MeteoSwiss), Anurag Dipankar (ETH Zurich), Edoardo Paone (ETH Zurich / CSCS), Xavier Lapillonne (MeteoSwiss), Nicoletta Farabullini (ETH Zurich), Enrique Gonzales Pareder and Hannes Vogt (ETH Zurich / CSCS), Ong Chia Rui (ETH Zurich), Till Ehrengruber (ETH Zurich / CSCS), Yilu Chen (ETH Zurich), and Philip Muller and Christos Kotsalos (ETH Zurich / CSCS)