Institute for Advanced Simulation (IAS)

Jülich Supercomputing Centre (JSC)

SDL Climate Science

Dr. Sabine Grießbach

Team leader of Simulation and Data Laboratory Climate Science PI in Helmholtz Information Program 1, Topic 1

Building 14.14 /
Room 4008

+49 2461/61-6555

E-Mail

AIRS instrument shows ring-shaped waves due to the eruption of the Tonga volcano in January 2022.

Anthropogenic climate change poses a major risk for the Earth's ecosystem and is a threat for the means of livelihood for future generations.
Reliably predicting climate change is a grand challenge for the 21st century. Quantative understanding of the interactions of the various chemical and dynamical processes in the Earth's atmosphere is one of the main objectives of climate research.
Numerical Earth system models are indispensable tools to assess climate change. Comprehensive coupled models allow to study the manifold feedback mechanisms occurring in the atmosphere, biosphere, hydrosphere, and lithosphere.
The development and maintenance of Earth system models is a challenge not only for scientists, who study the complex processes, but also for software engineers, who have to maintain efficiency of sophisticated algorithms with high demands on computational power, inter-process communication, and data transfer and storage.
The Simulation and Data Laboratory Climate Science provides support for a community of scientific institutions that are internationally known for their expertise on numerical modelling of the Earth system and predicting climate change.

Within the Program-oriented Funding (PoF IV) of Helmholtz Information, this group contributes to Program 1 “Engineering Digital Futures”, Topic 1 “Enabling Computational- & Data-Intensive Science and Engineering”, and it is part of the Joint Lab Exascale Earth System Modelling (ExaESM) and of the Center for Advanced Simulation and Analytics (CASA).

user support

Mentoring

Technical advise for supercomputing projects and support for Helmholtz ESM projects

Support for Community Codes

The SDL Climate Science provides support to software developments of widely used community codes relevant for the ESM community.

Maintenance of meteorological and satellite data archives

The SDL Climate Science provides access to to research data sets created by team members and collaboration partners and maintains a joint data repository for meteorological reanalyses, model data, and satellite observations.

research activities

Climate Modelling and Numerical Weather Prediction

Atmospheric remote sensing and radiative Transfer

Inverse modelling and data assimilation

High Performance Computing

Scientific visualization

code development

Juelich Rapid Spectral Simulation Code (JURASSIC)

The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast radiative transfer model for the analysis of atmospheric remote sensing measurements.

Massive-Parallel Trajectory Calculations (MPTRAC)

Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.

Data services

Meteocloud

The Jülich Meteocloud is a joint data repository for meteorological reanalyses, model data, and satellite observations. The Meteocloud is operated by the Institute of Climate and Energy Systems (ICE) and the Jülich Supercomputing Centre (JSC). The archive is located on the Juelich Storage System (JUST) and can be directly accessed on JUDAC, JURECA, JUWELS or JEDI.

Datapub

An overview about data sets created by team members of the Simulation and Data Laboratory 'Climate Science' and collaboration partners. The focus is on data sets related to atmospheric science.