23 June @ 08:00 – 28 June @ 17:00 Korean Standard Time
On this page:
- Townhall: Co-creating the Future CMIP
- Workshop: Making the most of CMIP data
- Poster: The CMIP AR7 Fast Track
Asia Oceania Geosciences Society (AOGS) was established in 2003 to promote geosciences and its application for the benefit of humanity, specifically in Asia and Oceania and with an overarching approach to global issues. AOGS2024 will be the 21st annual meeting of the society, held in Pyeongchang, Gangwon-do, South Korea. These annual meetings provide a unique opportunity to exchange scientific knowledge and to discuss important geo-scientific issues among academia, research institutions and the public.
CMIP events
Townhall: Co-creating the Future CMIP
Thursday, 27 June 2024 | 14:00pm – 15:30 | Luge Hall, Alpensia Convention Center
The World Climate Research Programme’s (WCRP) Coupled Model Intercomparison Project (CMIP) has coordinated international climate model experimentation, to develop a better understanding of past, present, and future climate change. Over four decades, CMIP has grown in scope and complexity, targeting climate science addressing the WCRP objectives and serving IPCC Assessments. CMIP6, the latest phase, yielded more than 25 PB of data, with contributions from 131 models, from 48 institutions, representing 26 countries.
Work has commenced on future CMIP7 planning. The project aims to meet the growing community needs, enabling climate science and providing actionable climate information to aid policymakers. To facilitate next steps, the two panels that oversee the project, the CMIP and Working Group on Coupled Modelling (WGCM) Infrastructure (WIP) Panels have established seven Task Teams to guide CMIP7 scope and design and facilitate coordinated infrastructure development. These aim to increase CMIP’s scientific and social relevance, widen participation, improve data accessibility, and reduce the carbon footprint.
We invite our growing community to attend. We will describe ongoing planning, highlight engagement, and feedback opportunities, and invite attendee feedback and participation. The town hall will be presented by members of the CMIP Panel, Fresh Eyes on CMIP group, and CMIP7 Task Teams.
Workshop: Making the most of CMIP data: analysis, access, and tools
Thursday, 27 June 2024 | 11:00 – 12:30 | Luge Hall, Alpensia Convention Center
The Coupled Model Intercomparison Project (CMIP) is an international climate modelling project, designed to better understand past, present, and future changes in the climate. CMIP has grown significantly since its inception. More than 50 modelling centres around the world participated in CMIP6, which has already generated in excess of 14 PB of unique data. From its inception, there has been a focused effort to make the model intercomparison data available to scientists beyond the climate modelling community. CMIP’s reach has continued to grow with an increasing number and diversity range of users.
With more data access platforms and analysis tools being created every year to support the use of CMIP data, it can be difficult to know where to begin. Primarily led by members of the new Early Career Scientists group, Fresh Eyes on CMIP, this workshop will provide an overview of ways to access CMIP data and present some useful analysis tools and methods to help with using it. The key topics across the session will cover:
- CMIP experimental structure and MIPs.
- Scientific limitations of CMIP data.
- Different methods for accessing CMIP data, and their advantages and limitations.
- Analysis and evaluation tools.
In this workshop, participants will learn about CMIP data and how to access and analysis it efficiently. The session will be interactive with a lot of time to ask questions in between presentations, videos, and live demonstrations. The session is open to anyone who wants to use CMIP data from any sector.
Poster: Evolving the Coupled Model Intercomparison Project (CMIP) to Better Support the Climate Community and Future Climate Assessments
IG32-A013, IG – Interdisciplinary Geosciences Poster Session
Tuesday 25 June | 14:00 – 18:00 | Level 2, Meadow & Lake Hall, Alpensia Convention Center
Over four decades, CMIP has driven massive improvements in the modelled representation of the Earth system, whilst also seeing huge growth in its scope and complexity. In its most recent phase, CMIP6, a broad spectrum of questions continues to be answered across twenty-four individual model intercomparison projects (MIPs). This science improves process understanding and assesses the climate’s response to forcing, systematic biases, variability, and predictability in line with WCRP Scientific Objectives. CMIP and its associated data infrastructure have become essential to the Intergovernmental Panel on Climate Change (IPCC) and other international and national climate assessments, increasingly including the downstream mitigation, impacts, and adaptation communities. However, despite the invaluable science produced from CMIP6 data, many challenges were still faced by the model data providers, the data delivery infrastructure, and users, which need to be addressed moving forwards. A specific challenge in CMIP6 was the burden placed on the modelling centres, in part due to the large number of requested experiments and delays in the preparation of the CMIP6 forcing datasets and climate data request. The CMIP structure is evolving into a continuous, community-based climate modelling programme to tackle key and timely climate science questions and facilitate delivery of relevant multi-model simulations. This activity will be supported by the design of experimental protocols, an infrastructure that supports data publication and access, and quasi-operational extension of historical forcings. A subset of experiments is proposed to be fast-tracked to deliver climate information for national and international climate assessments and informing policy and decision making. The CMIP governing panels are coordinating community activities to reduce the burden placed on modelling centres, continue to enhance novel and innovative scientific activities, and maximise computational efficiencies, whilst continuing to deliver impactful climate model data.
