Information about the Interagency Group on Integrative Modeling's workshops can be found below.
To improve the coordination and communication of national climate modeling goals and objectives, USGCRP's Interagency Group on Integrative Modeling (IGIM) convenes an annual U.S. Climate Modeling Summit, beginning in 2015. The Summit brings together representatives from the U.S. “CMIP-class” climate model development centers and from operational climate prediction programs. Specifically, two representatives—one lead and one additional delegate—from each of the following groups are invited to participate in the Summit: Geophysical Fluid Dynamics Laboratory (GFDL CM/ESM); Climate Forecast System (CFS); Goddard Institute for Space Studies (GIS Model E); Goddard Earth Observing System (GEOS-5); Community Earth System Model (CESM); and Energy Exascale Earth System Model (E3SM).
As envisioned by the IGIM, the high-level Summit objectives include:
- Developing a shared understanding of modeling groups’ directions and implementation strategies,
- Identifying opportunities for enhanced coordination and synergy among modeling groups, and
- Identifying outreach opportunities to user communities
Eighth Meeting (August 2022)
The Eighth US Climate Modeling Summit (USCMS) was held in a hybrid format in Hyattsville, MD. The Summit consisted of a 1.5-day Topical Workshop on the Water Cycle and Water Security 2-3 August and a Summit Meeting 3-4 August.
The water cycle sustains life and supports a wide range of human activities. While global average precipitation is projected to increase by ~2% per 1°C of warming, precipitation over land is expected to be distributed more unevenly in both space and time as the planet warms, driving larger disparities in water availability around the world. Exacerbated by increasing weather extremes as well as higher water demand to support a growing population, society’s ability to provide reliable water for health, livelihoods, and production is increasingly threatened. With the changing water cycle and threats to water security, there are increasing demands for weather and climate forecasts and projections to improve water management and planning. However, weather and climate models exhibit noticeable biases in simulating different aspects of the water cycle, undermining their credibility for providing actionable information to address the water cycle and water security challenges facing the world.
In recognition of the need to advance predictions and projections of water cycle changes that threaten water security, the Topical Workshop consisted of plenary presentations and breakout discussions surrounding the theme of the water cycle and water security. These presentations and discussions focused on model development and evaluation, observational and modeling insights, and emerging approaches, including ultra-high-resolution modeling and artificial intelligence/machine learning.
The Summit included updates from the modeling centers on their science, priorities, challenges, and plans. Discussion topics included future outlooks on CMIP and IPCC, next generation predictions and projections, climate model data storage and accessibility challenges, CERESMIP (Clouds and the Earth’s Radiant Energy System Model Intercomparison Project), ensemble strategies and (coupled) data assimilation in earth system modeling and predictions, climate process teams, and GPEX (Global Precipitation Experiment).
- Agenda – Eighth USCMS (Summit)
- Agenda – Eighth USCMS (Workshop Series)
- Final Report – Eighth USCMS
- Final Report Presentation – Eighth USCMS
Sixth Meeting (June/July 2020)
The Sixth U.S. Climate Modeling Summit was held virtually due to COVID-19-related restrictions. The theme of the workshop was Global Model Cloud-Aerosol Research (GM-CAR; it consisted of a series of four weekly webinars and a two-day virtual summit held June 30-July 1, 2020.
Context for the GM-CAR workshop: Building from the detailed analylsis of the last generation of models and the latest data from satellites (notably CloudSAT/CALIPSO), recent global model developments have focused on improving cloud-aerosol microphysics and other moist processes. While greater skill in matching observed climatologies and variability is universal, there has been a significant divergence of climate model sensitivities in the latest model versions, beyond the assessed range of likely values. Initial analyses suggest both cloud feedbacks in the Southern Ocean and aerosol treatments, including indirect effects, as large sources of this divergence. The workshop examined the reasons for these divergences, commonalities, and differences in parameterizations; process-based evaluation of model outputs; and future research needs.
- Agenda - Sixth USCMS (Summit)
- Agenda - Sixth USCMS (Workshop series)
- Final Report - Sixth USCMS
- Final Report Presentation - Sixth USCMS
Fifth Meeting (April 2019)
The Fifth U.S. Climate Modeling Summit was held in Lanhan, MD, on April 3-4, 2019. The first day of the workshop focused on "Modes of variability and their representation in models," examining
- Structure and dynamics of the modes of variability (MJO, AO/NAO, SAM, QBO, ENSO, AMO, IPO...)
- Key physics for the modes in models (recent adavances, shortcomings, etc)
- Initialized and free-running – what did we learn?
- The sensitivity of these modes to climate change.
- Agenda - Fifth USCMS
- Final Report - Fifth USCMS
- Final Report Presentation - Fifth USCMS
Fourth Meeting (April 2018)
Third Meeting (March 2017)
The Third U.S. Climate Modeling Summit was held March 15, 2017, in the Washington, DC area following an Arctic workshop convened by the CMS participants. The USCMS works to build synergies in themes relevant to multiple U.S. agencies for their Earth system modeling and prediction efforts. This year's themes include: 1) Arctic science and predictions conducted/planned at the various modeling centers; 2) Subseasonal-to-seasonal predictability that strives for seamless prediction capabilities; 3) Model Intercomparison Projects that include discussion/action on the CMIP6 activities; 4) Next generation HPC requirements for weather/climate.
Second Meeting (March 2016)
The Second U.S. Climate Modeling Summit was held March 2016 in the Washington, DC area. This meeting is dedicated to more specific exchanges among Centers with the goal of facilitating enhanced coordination on specific items of interest to multiple Centers: 1) CMIP or other Coordinated Modeling activities; and 2) Opportunities and challenges for modeling with high resolution and advanced physical representation. This will be done in the context of USGCRP priorities, and the evolving condition of Federal Supercomputing and Software, and the interfaces with Integrated Assessment and Impact-Adaptation and Vulnerability research.
First Meeting (February 2015)
The First U.S. Climate Modeling Summit was held in February 2015 in the Washington, DC area. The overarching goal of the meeting was to enhance coordination toward a common national climate modeling strategy and communication with the broader modeling community. The meeting also began to identify priorities for future Summit activities and needs for topical Climate Forums, as recommended by the National Research Council report, A National Strategy for Advancing Climate Modeling. An initial Climate Forum planned by the Summit leads was held in conjunction with the meeting and focused on U.S. participation in CMIP6.
IA-IAV-ESM Workshop: Toward Multi-Model Frameworks Addressing Multi-Sector Dynamics, Risks, and Resiliency
This workshop is one of several efforts convened under the auspices of the U.S. Global Change Research Program that are intended to develop concepts for a modeling framework or architecture to couple Impacts, Adaptation and Vulnerability (IAV) models; Integrated Assessment (IA) models; and climate, Earth system, hydrology, land use, demography, and other models. The framework will facilitate integration of a wide range of model capabilities to meet a growing societal need to better understand the potential for cascading impacts of interacting societal and environmental change across sectors and scales. The workshop is being coordinated by an Interagency Coordinating Group with technical inputs from a Scientific Steering Group. The agencies that comprise the workshop’s Interagency Coordinating Group share a common interest in the scientific challenges associated with modeling the interactions of human and environmental systems to support risk management.
The workshop addresses the following challenges:
- Systematize needs and uses: Explore uses, scale and information dependencies associated with these uses, and specific information needs for categories of problems. Discussions at the workshop are intended to help development of a “use typology” that will identify needs to guide research and development of the framework
- Inventory and evaluate the state of science: Inventory extant and emerging models and frameworks for representing and integrating key processes and interactions. This will include evaluating sector-specific IAV models (ranging from those focused on resource productivity to market interactions), IAMs, a range of approaches for characterizing changes in climate and related physical systems (e.g., hydrology, land cover), and methods for modeling socioeconomic systems and behavior. The workshop will explore data requirements, coupling strategies, mechanisms to capture impact and adaptation information that is not amenable to modeling, approaches for evaluating risk, and model evaluation
- Develop the conceptual framework: Discuss a conceptual framework for research and modeling that defines data and coupling needs by identifying interactions across scales, sectors, and temporal processes essential for addressing the problems and information needs. Participants will also explore the near-term mechanisms and activities for implementation of the framework concept in ongoing and planned model development activities across the USGCRP and interested research community
- Identify research needs/opportunities and options for program development: Explore needed advances in fundamental research on Earth systems, environmental, and societal processes; specialized sector-specific models; and models able to represent interactions and tradeoffs across sectors, systems, and time/spatial scales that can contribute to advancing the state of science. This will include identifying research gaps and priorities for different intended applications and user communities
- IA-IAV-ESM Workshop: Toward Multi-Model Frameworks Addressing Multi-Sector Dynamics, Risks, and Resiliency