Abstract Deadlines Coming Up For AGU and AMS Meetings
Several E3SM sessions have been organized for the 2018 American Geophysical Union (AGU) Fall Meeting and the 2019 American Meteorological Society (AMS) Annual Meeting. The deadline for submission of abstracts for both meetings is August 1, 2018. Please consider submitting abstracts to the following E3SM-focused sessions.
AGU Fall Meeting, December 10 to 14, 2018, Washington D.C.
A054: “High-Resolution Weather and Climate Modeling on Large Supercomputers”
Organizers: L. Ruby Leung, Gokhan Danabasoglu, Rein Haarsma, Malcolm Roberts, and Pier Luigi Vidale
High-resolution weather and climate modeling offer significant opportunities for improving the quality of simulations. This is particularly relevant for modeling of water cycle processes and extreme events which are inherently multiscale and have important societal implications. Increases in model resolution and complexity present significant challenges on many fronts, including evaluation, diagnosis, and analysis of model simulations and predictions, model initialization and data assimilation, uncertainty quantification, and computational performance. This session aims to bring together scientists who develop, run, evaluate, and analyze atmosphere models, ocean models, and coupled models of weather, climate, and earth systems at high resolution, as well as scientists who enable these models to run efficiently on high-performance computing architectures. This session also encourages presentations from coordinated high-resolution modeling projects, such as HighResMIP and DYAMOND, comparison of high-resolution modeling approaches, and development of observational datasets and metrics for evaluation of high-resolution simulations.
A104: “Toward Reducing Systematic Errors in Weather and Climate Models: Evaluation, Understanding, and Improvement”
Organizers: Shaocheng Xie, Xiaohong Liu, Chung Hsiung Sui, and Donghai Wang
Despite continuous advances in both weather and climate models, large errors persist in their simulated weather and climate. Describing and understanding the nature and causes of these errors through deep analysis and evaluation using observations is a critical step to improving models. This session invites presentations in the following areas: (1) Global and regional evaluation of weather and climate models such as those used in numerical weather prediction (NWP) and climate modeling centers and from major model intercomparison projects (e.g., CMIP5); (2) Process studies that utilize single-column models, cloud-resolving models, and NWP techniques in climate models; (3) Diagnostics for model performance rooted in surface or satellite observations; and (4) Observational studies that have a direct bearing on understanding and improving model representations of convection, clouds, radiation, precipitation and their interactions. Understanding model errors in mean state or variability (diurnal, intraseasonal, etc.), in the atmosphere and coupled models are all of interest.
GC062: “Innovative Modeling Frameworks to Represent Human-Earth System Interactions Across Multiple Sectors and Scales”
Organizers: Erwan Monier, Ian Kraucunas, and Kate Calvin
Understanding the complex interactions among human and natural systems is essential for informing responses to environmental changes, from local to global scales. This session focuses on innovative modeling approaches for developing a predictive understanding of coupled human-earth system dynamics, with a particular focus on frameworks that account for two-way feedbacks. This could include, for example, interactions across the energy-water-land nexus, the influence of extreme events on critical infrastructure systems, connections between climate and human activities, or feedbacks associated with population dynamics and human health. Approaches for simulating these and related interactions range from global models that account for a large number of processes at fairly coarse resolution, to coupled modeling frameworks that focus on a particular subset of systems with high process fidelity. New methods for exchanging information across sectors and scales, as well as data and approaches for calibrating and validating these modeling approaches, are a key research need.
GC005: “Advances in Understanding and Predicting Water Cycle Extremes and Their Impacts on the Coupled Energy-Water-Land Systems”
Organizers: Hailong Wang, Ruby Leung, Xingyuan Chen, and Mohamad Hejazi
Extreme water cycle events such as droughts and floods represent the greatest impacts of climate variability and change on the coupled energy-water-land systems, and consequently on our environment and society. Thus, understanding and predicting single and compound extreme events related to the water cycle is critical for securing water, energy, and food supply and for effective decision-making. However, this presents significant scientific challenges due to gaps in mechanistic understanding, limitations in modeling approaches, and lack of observations. This session invites contributions that advance understanding of water cycle extremes from weather to climate timescales and/or their impacts on the coupled energy-water-land systems, including theoretical research, data analysis, numerical modeling, and/or data-model integration. This session also welcomes studies in relevant areas such as convection processes and modeling, impacts of climate variability and change on water cycle extremes, surface/subsurface water interactions, managed and unmanaged ecosystems, and environmental and societal impacts of extreme events.
OS024: “Improvements in Synoptic, Subseasonal to Seasonal, and Decadal Projections Through Next-Generation Ocean Model Developments, Observations, and Coupled Data Assimilation”
Organizers: Jesse Carman, Luke Van Roekel, Santha Akella, Bradford Johnson
From weather to climate timescales, detailed atmospheric, oceanic, and land-surface predictions are critical to socioeconomic planning, mitigation, and emergency response. Earth System Models (ESMs) for synoptic, S2S, and decadal predictions depend on accurate ESM component initialization and accurate representations of critical ocean, sea ice, and wave processes. Higher resolutions and regional/component impacts on predictability complicate these dependencies; emerging high-performance computing (HPC) architectures require new algorithms for efficient system use. Implementing CDA in ESMs and improvements to component models, particularly at high resolution and in regionally refined configurations, represents a grand scientific, algorithmic, and computational challenge. Meeting these challenges efficiently within operational run-time constraints will require restructured ocean and atmosphere models that are performant on new HPC systems. This session seeks submissions discussing: novel theoretical and algorithmic techniques for CDA in ESMs, the use of CDA to understand ESMs biases, novel ocean model discretizations, and parameterizations of multiscale phenomena.
IN047: “JSON and the Geoscientists”
Organizers: Charlie Zender and Lewis McGibbney
JavaScript Object Notation (JSON) is an increasingly popular and intuitive text format for data exchange. JSON serializations exist geoscientific data, including TopoJSON, JSON-LD, hdf5-json, GeoJSON, CovJSON, CF-JSON, NCO-JSON, and STAR JSON. Critical production-grade software infrastructure also provide several mechanisms for serializing JSON data retrievals. For example, OPeNDAP can produce CovJSON responses to OPeNDAP queries, and ERDDAP can respond in NCO-JSON. Thus, an era of metadata and data transmission via JSON has begun.
ESSI is a natural venue for stakeholders to discuss JSON efforts, goals, overlap, use-cases, and implementations. Stakeholders include web application developers, developers at data centers that currently distribute/expose spatial data, and users frustrated with XML-based encodings. We invite contributions on JSON in geoscience workflows including data modeling issues that showcase candidate JSON encodings and explore their semantics, applications/workflows that leverage JSON serialization for geoscientific data, and use-cases that might benefit from JSON serialization to improve performance and/or user-friendliness.
AMS Annual Meeting, January 6 to 10, 2019, Phoenix, Arizona
Special Session: “Global Climate and Earth-System Simulation and Prediction on Exascale Computers: Challenges and Opportunities.”
Organizers: Dave Bader, Mark Taylor, Phil Jones, and Ruby Leung
This special session will focus on the challenges facing the global modeling community as it prepares for a disruptive change in computer architectures. High-end scientific computing has been relatively evolutionary and predictable since the adoption 20 years ago of massively-parallel, microprocessor-based, distributed memory supercomputers. From the late 1980s through the late 1990s, these systems, such as the Cray T3E and IBM-SP, ultimately replaced the large, special purpose shared-memory vector systems that were the mainstay of many scientific communities, including weather and earth system simulation. That disruptive decade required earth system modelers to experiment with different architectures and programming models to sustain progress.
Analogously, high-end scientific computing has entered a new disruptive period. As microprocessors have become ever smaller, they are approaching limitations dictated by power consumption and heat generation, requiring new and experimental processor designs that are the building blocks for the next generations of high-end computers. Achieving grand challenge science goals necessitates that the Earth system modeling community adapt to unprecedented changes in the computing landscape. These challenges include a plateau in system clock speeds and increased software complexity driven by computing system heterogeneity.
Developing and running ever more complex Earth system models requires modelers to support current machines while also preparing for Exascale architectures that will appear around 2020. Success requires a mix of short-term optimization and long-term research in algorithms and computational approaches. We will solicit papers on all aspects of global climate and Earth system models on future Exascale computing systems. This includes fully-coupled models as well as their individual components, including the atmosphere, the ocean, sea ice, land ice, and the terrestrial biosphere. We will cover topics such as software complexity, programming models, algorithms for heterogeneous computers (e.g. CPU-GPU systems), data management, and analysis methods (both post-simulation and in-situ).
Embracing the challenges now, rather than reacting later, is essential to sustain scientific progress. We hope this session will further enhance the exchange of ideas and identify new approaches to these complex problems at the intersection of the Earth system and computational sciences.
