Large Ensemble Climate Model Simulations as Tools for Exploring Natural Variability, Change Signals, and Impacts
Co-organized by NH11/OS4
Convener:
Andrea Dittus
|
Co-conveners:
Sebastian Milinski,
Laura Suarez-Gutierrez,
Karin van der Wiel,
Raul R. Wood
Posters on site
|
Attendance Fri, 28 Apr, 10:45–12:30 (CEST) Hall X5
Fri, 10:45
This session invites studies using large GCM, ESM, or RCM ensembles looking at the following topics: 1) Reinterpretation of the observed record in light of internal variability; 2) forced changes in internal variability; 3) development of new approaches to attribute and study observed events or trends; 4) impacts of natural climate variability; 5) assessment of extreme and compound event occurrence; 6) combining single model large ensembles with CMIP archives for robust decision making; 7) large ensembles as testbeds for method development.
We welcome research across all components of the Earth system. Examples include topics ranging from climate dynamics, hydrology and biogeochemistry to research on the role of internal variability in impact studies, focused for example on agriculture, air pollution or energy generation and consumption. We particularly invite studies that apply novel methods or cross-disciplinary approaches to leverage the potential of large ensembles.
X5.219
|
EGU23-14461
|
Highlight