Veranstaltungen

 
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16.Jun
10:30
Campus Nord,
Gebäude 435, Seminarraum 205
Stefanie Falk , KIT, IMKASF
23.Jun
10:30
Campus Nord,
Gebäude 435, Seminarraum 205
Nga Ying Lo , KIT, IMKASF
26.Jun
9:00
Seminar
TRO-Seminar
Campus Nord, Gebäude 435, Seminarraum 2.05
(1) Nicole Knopf (2) Christian Sperka (3) Prabhakar Namdev (4) Syiu Li, Chair: Behrooz Keshtgar
(1) Online bias correction in data-driven weather forecast models (2) European Hail Risk under Climate Change (3) Improved representation of surface layer processes in numerical models (4) tbd
30.Jun
10:30
Seminar
ASF-Seminar
Campus Nord,
Gebäude 435, Seminarraum 205
Alkis Kalisoras , Aristotle Univ. of Thessaloniki
30.Jun
11:00
KIT Campus Nord, IMKAAF
Gebäude 326, Raum 150 …
Clara Nagel, Technical University of Dortmund
10.Jul
9:00
Seminar
TRO-Seminar
Campus Nord, Gebäude 435, Seminarraum 2.05
(1) Soner Cagatay Bagcaci (2) Bastian Kirsch (3) Gariella Wallentin (4) Athul Rasheeda Satheesh
(1) Testing a new hybrid storyline-pseudo global warming (PGW) approach to estimate the extent of the Ahr Flood event in a warmer climate with ICON-CLM (2) KITsonde observations during ASCCI (3) tbd (4) Benchmarking Deep Learning Architectures for Climate Data Downscaling
14.Jul
10:30
Campus Nord,
Gebäude 435, Seminarraum 205
Björn-Martin Sinnhuber & Soeren Johansson, KIT, IMKASF - MOD & FFB
15.Jul
15:45
CS, Gebäude 30.22, Otto-Lehmann-Hörsaal
Dr. Wolfgang Müller, Max-Planck-Institut
Starting in 2020, a new modeling initiative has been launched as a joint project between climate modeling institutes and the Deutscher Wetterdienst. The initiative integrates NWP, climate predictions, climate projections, and atmospheric composition modeling based on the ICON framework and targets a unified treatment of the respective subgrid-scale parameterizations. It aims at the development of coupled model configurations of ICON to conduct operational weather and ocean forecasts for several days, climate predictions with timescales up to 10 years ahead as well as climate projections, and further provides a model baseline for joint research for NWP and climate (Müller et al., 2025).
ICON XPP is an outcome of this initiative and provides the baseline for the next generation of climate predictions and projections, and global climate research (where XPP stands for eXtended Predictions and Projections). ICON XPP comprises the atmospheric component as used for the numerical weather prediction (ICON NWP), the ICON ocean model, the land surface component ICON Land, and a data assimilation system, all adjusted to an Earth System model for pursuing climate research and operational climate forecasting.
Here, I give a survey, from the strategic decision made for unifying ICON for NWP and climate, to a first assessment of the global climate in baseline experiments of ICON XPP, to future directions of model developments such as the upcoming national contribution to Coupled Model Intercomparison Project (CMIP7) and an effort for an ultra-high-resolution workhorse configuration (13km atm; 5km oce).
 
Müller, W. A., and Coauthors, 2025: ICON: Towards vertically integrated model configurations for numerical weather prediction, climate predictions and projections. Bull. Amer. Meteor. Soc., https://doi.org/10.1175/BAMS-D-24-0042.1, in press.
21.Jul
10:30
Seminar
ASF-Seminar
KIT Campus Nord, Geb.435, Raum 2.05
N.N., KIT Campus Nord, IMKASF
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