2024 Abstracts

Multiscale Modeling and Model-Data Integration to Improve the E3SM Land Model


Peter Thornton1* (thorntonpe@ornl.gov), Colleen Iversen1, Charles Abolt2, Scott Painter1, Ethan Coon1, Yu Zhang2, Katrina Bennett2, Claire Bachand2, Benjamin Sulman1, Fengming Yuan1, Teri O’Meara1, Ryan Crumley2, Rich Fiorella2, Xiang Huang2


1Oak Ridge National Laboratory, Oak Ridge, TN; 2Los Alamos National Laboratory, Los Alamos, NM



The overarching objective for the Next-Generation Ecosystem Experiments (NGEE) Arctic project is to deliver an improved predictive understanding of Arctic tundra processes at the scale of a high-resolution Earth system model (ESM) grid cell. To achieve that goal, the team has identified six Integrated Modeling efforts, each of which results in improved prediction capability implemented within DOE’s Energy Exascale Earth System Model (E3SM). During Phase 3 of NGEE Arctic, researchers are synthesizing observations, experiments, and fine-scale modeling results to arrive at new E3SM Land Model (ELM) parameterizations suitable for a high-resolution ESM grid cell. Over the past year, the team has made significant progress in connecting high-resolution and process-resolving simulations to site-scale observations to improve understanding of fundamental controls on hydrologic, thermal, and biogeochemical processes in Arctic tundra landscapes. Researchers have also made important advances in developing new process parameterizations and designing new implementations of subgrid process heterogeneity to migrate new knowledge from fine-scale simulations into improvements in ELM. Here, the team shows examples of improvements in ELM from studies of subgrid fractional area of inundation, hydrologic coupling across subgrid hillslope elements, snow-vegetation interactions in complex topographic settings, complex and dynamic vegetation communities, and redox-resolving biogeochemical reaction networks.

The project draws connections from lessons learned in the NGEE Arctic project to other studies in different ecosystems. The team shows examples of connections between Arctic tundra and coastal wetland systems, focusing on improved representation of processes such as redox-enabled biogeochemistry and improved treatment of subgrid heterogeneity in complex ecosystems with small-scale variation in structure and function.