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2026 Chao, L.-W., Zelinka, M. D., Terai, C. R., Beydoun, H., Hillman, B. R., Keen, N. D., et al. (2026). Examining Cloud Feedback Components in the Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM). Journal of Climate, e250656. https://doi.org/10.1175/JCLI-D-25-0656.1 Fang, Y., & Leung, L. R. (2026). Machine Learning Calibration of Groundwater Table [...]

All E3SM code (both model releases and development versions) is open source and doesn’t require a collaboration agreement to use. Help running the model is only provided for unedited code from major code releases running select compsets on supported DOE supercomputers. See E3SM Releases for supported model versions. Data from all [...]

Phase 3 Funcional Organization

The E3SM Decadal Vision describes a 10-year effort to advance E3SM into a trustworthy hybrid physics-AI Earth system prediction capability for seasonal-to-decadal timescales. Building on a decade of progress, including a skillful coupled Earth-energy model and a world-leading global storm-resolving model on exascale computers, the project is now focused on [...]

The E3SM project is a DOE BER Science Focus Area (SFA) project and as such is funded for a 3-year period after a successful proposal. The project refers to each funding period ‘an E3SM Phase’. Phase 2 of the project ended at the end of 2022, and Phase 3 of [...]

2024 E3SM TutorialWorkshop Agenda with videos, presentations and practicum materials   A comprehensive workshop covered the overview of the E3SM coupled system and its components, providing guidance on running the model, modifying the code, effectively processing the model output, as well as best practice using the model and contributing to model [...]

Please familiarize yourself with overall E3SM Policies about the code, new development features, running the E3SM simulations, E3SM data, and collaboration, please read Policies   Acknowledgement If you use software from the E3SM project, cite the software in your publications. The Energy Exascale Earth System Model (E3SM) Project should also [...]

zppy (pronounced “zip-ee”) is a post-processing toolchain for E3SM written in Python. The goal of zppy is to speed-up the post-processing of E3SM simulation output by automating commonly-performed tasks. zppy is included in the E3SM Unified Environment and can be run with the simple command zppy -c <configuration_file>. The configuration [...]

Help section explains how to get help Help Email Lists Acronyms Documentation lists quick link to the most important documentation Documentation Model Data Webinars Tools section presents the E3SM developed tools and the tools that E3SM is routinly using Tools Data Management Diagnostic Tools Analysis Tools End-to-End Processing Other Tools [...]

Please familiarize yourself with overall E3SM Policies about the code, new development features, running the E3SM simulations, E3SM data, and collaboration, please read Policies