Climate Modeling
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Earth’s physical, biological, and chemical systems are complex and interconnected.
Understanding and predicting how climate affects those systems, and additionally, what drives climate change is a monumental task, requiring the tenacity and expertise of a broad network of climate scientists.
Lawrence Livermore, in partnership with other national laboratories and academic collaborators, continues to advance the tools and methodologies needed to accurately predict future climate conditions.
With powerful computers and an ongoing refinement process, LLNL scientists build and improve sophisticated climate models such as the Energy Exascale Earth System Model (E3SM) that can focus on elements of climate-vulnerable U.S. infrastructure. These models also enable enhanced techniques, such as climate fingerprinting, to clarify both natural and human-related influences affecting Earth’s atmosphere. By comparing and validating research and data over decades of study and using state-of-the-art tools of this era, the Laboratory is bringing into focus the evolution of climate change and its potential effects.
Model Development
Researchers develop climate models that employ Department of Energy supercomputing resources to produce accurate and actionable model results. These high-resolution models help researchers better understand how Earth system processes interact today and how they may evolve in the future.
Energy Exascale Earth System Model (E3SM)
Next-generation Earth system prediction
Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM)
Modeling the global atmosphere at cloud-resolving scales
Model Evaluation
Scientists compare detailed and rigorous observations from surface, atmosphere, satellite, and oceanographic measurements with outputs from computer models. These results are used to improve the models as well as to search for patterns in climate, and their causes.
PCMDI: An Earth System Model Evaluation Project
Advanced methods and tools for climate modeling
Tying in High Resolution E3SM with ARM Data (THREAD)
Constraining cloud and precipitation processes using observational data
Liquid-Phase Cloud Response to Aerosol Perturbation
Understanding warm cloud response to aerosol perturbation
Assessing impacts-relevant climate data products
Modeling Infrastructure
Global climate data accumulate daily across a range of information systems. Software, tools, and related capabilities are needed to organize the data, facilitate collaboration, and accelerate scientific discovery.
Earth System Grid Federation (ESGF)
Global repository for Earth system data
Atmospheric Radiation Measurement (ARM) Data Products for Modelers
Bridging observational and model data
Integrating novel diagnostic capabilities and data tools