23.10.2024
The EGU General Assembly 2025 brings together geoscientists from around the world for a comprehensive event covering the full spectrum of Earth, Planetary and Space Sciences. The Assembly provides a valuable platform for researchers, especially those at the beginning of their careers, to present their work and engage in meaningful discussions with experts from different geoscience disciplines.
ESMO will host the science session CL5.5 Emerging technologies and collaboration efforts between Earth System Modeling and Observations, which aims to explore the integration of models and observations, in particular through the use of cutting-edge technologies such as AI and exascale computing. Presentations will include contributions from various WCRP projects and pave the way for a subsequent discussion aimed at enhancing collaborations in this area.
Interested in contributing to other ESMO discussions? Here you can find a list of other ESMO sessions what will take place at EGU:
Convener: Ariane Frassoni | Co-conveners: Fanglin Yang, Nils Wedi, Tim Graham, Ron McTaggart-Cowan
This session invites contributions that help to increase understanding of the nature and cause of systematic errors in ESMs. Of particular interest are studies that consider:
-model errors across space and time scales; the use of hierarchies of models, including single column models and constrained ESM components;
-physics-dynamics and physics-physics cross-component coupling;
-initialized predictions;
-climatology of weather prediction models;
-data assimilation methodologies to identify systematic errors and constrain parameters;
-use of ML to identify systematic errors and/or to detect causal connections between seemingly disparate parameters; stochastic parameterization to represent uncertainty.
Verifying diagnostics and metrics to identify and characterize systematic errors and process understanding across different modeling communities (regional and global km-scale modeling) are also welcomed.
Convener: Marisol Osman | Co-conveners: Chris Roberts, Christopher White, Daniela Domeisen, Pauline Rivoire
The session welcomes contributions on the following:
(a) Modes of variability (e.g. Madden Julian Oscillation (MJO) and others) impacting the S2S predictability;
(b) Tropical/extratropical wave dynamics and their effects on weather patterns;
(c) Teleconnections and combined influence of climate variability modes;
(d) The role of the atmosphere, ocean, land, and ice processes in S2S predictability;
(e) Predictability and predictive skill of atmospheric or surface variables, and other variables relevant for socio-economic sectors, such as sea ice, snow cover, soil moisture, and land surface;
(f) Use of AI/ML methods for S2S prediction, data-driven models, post-processing, and attribution, including innovative techniques for improving forecast accuracy;
(g) Case studies of extreme or high-impact event prediction on the S2S timescale;
(h) Sector-specific applications, impact studies, and climate services on the S2S timescale, including integration of S2S predictions into decision support systems at local, regional, or global levels and co-production of knowledge with stake-holders and decision-makers;
(i) Evaluation and improvement of S2S prediction systems, including advancements in model physics and comparison between dynamical and data-driven prediction models, data assimilation, ensemble forecasting, and initialization techniques.
Convener: André Düsterhus | Co-conveners: Bianca Mezzina, Leon Hermanson, Leonard Borchert, Panos J. Athanasiadis
The session welcomes contributions from dynamical models, machine-learning or other statistical methods and hybrid approaches. It will investigate predictions of various climate phenomena, including extremes, from global to regional scales, and from seasonal to multi-decadal timescales (including seamless predictions). Physical processes and sources relevant to long-term predictability (e.g. ocean, cryosphere, or land) as well as predicting large-scale atmospheric circulation anomalies associated with teleconnections will be discussed. Analysis of predictions in a multi-model framework, and ensemble forecast initialization and generation will be another focus of the session. The session welcomes work on innovative methods of quality assessment and verification of climate predictions.
Convener: Chris Jones | Co-conveners: Roland Séférian, Tatiana Ilyina, Pierre Friedlingstein
The session will assemble current knowledge on Transient Climate Response to cumulative carbon Emissions (TCRE) and Zero Emissions Commitment (ZEC) in the context of reducing uncertainty in remaining carbon budgets and reversibility.
Specific topics could include:
- Understanding TCRE and ZEC components, frameworks for investigating the processes and contributions to TCRE, ZEC, and identifying where uncertainty comes from, focus on Land/Ocean processes (e.g., CO2 fertilization, permafrost; ocean co-uptake of heat/CO2)
- Observational or Emergent constraints
- Use of simple models/emulators and model hierarchy.
- ITS1.5/CL0.2 Climate forcing for CMIP6, CMIP7, and beyond: anthropogenic and natural climate drivers
Convener: Jarmo Kikstra | Co-conveners: Vaishali Naik, Paul Durack, Camilla Mathison
This session highlights research assessing and quantifying uncertainties in forcing agent evolution and their climate influence using Earth System Model simulations, or Earth observations. The conveners invite contributions on all climate forcing research aspects, including the development of historical and future forcing time-series, analyses that use idealized, single- or multi-model approaches, or observational methods to evaluate the climate change impacts. The conveners are especially interested in studies that examine the responses to forcing changes through time, using next-generation (CMIP7), current (CMIP6, CMIP6Plus), or previous CMIP phases. Research considering multiple components of the climate system (the ocean, atmosphere, cryosphere, land surface/subsurface, and biology) is highly encouraged.
There is time until 15 January 2025 to submit your abstract – do so using the EGU portal.
We look forward to receiving your contributions!