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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

Minisymposium Presentation
Tuesday, June 4, 2024
12:30
-
13:00
CEST
Global Storm Resolving Simulations in a Python Framework: An (early) Perspective from EXCLAIM

Author

Minisymposium Presentation
Tuesday, June 4, 2024
12:30
-
13:00
CEST
Global Storm Resolving Simulations in a Python Framework: An (early) Perspective from EXCLAIM

Poster

P42 - A Python Dynamical Core for Operational Numerical Weather Prediction

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
Christoph Müller, Daniel Hupp, Nina Burgdorfer, Abishek Gopal, Nicoletta Farabullini, Till Ehrengruber, Samuel Kellerhals, Magdalena Luz, William Sawyer, Matthias Röthlin, Enrique G. Paredes, Benjamin Weber, Hannes Vogt, Mauro Bianco, Carlos Osuna, Christina Schnadt, Anurag Dipankar, Xavier Lapillonne

P27 - A GT4Py-Based Multi-Node Standalone Python Implementation of the ICON Dynamical Core

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
Magdalena Luz, Abishek Gopal, Chia Rui Ong, Christoph Müller, Daniel Hupp, Nina Burgdorfer, Nicoletta Farabullini, Fabian Bösch, Anurag Dipankar, Mauro Bianco, William Sawyer, Samuel Kellerhals, Jonas Jucker, Till Ehrengruber, Enrique González Paredes, Hannes Vogt, Peter Kardos, Rico Häuselmann, Xavier Lapillonne