Primary Convener:
Forrest Hoffman, Oak Ridge National Laboratory

Convener:
Bharat Sharma, Oak Ridge National Laboratory
Jing Tao, Lawrence Berkeley National Lab
Shijie Shu, Lawrence Berkeley National Laboratory
Gianna Marschmann, Lawrence Berkeley National Laboratory
Hannah Holland Moritz, University of New Hampshire
Zhen Li, Lawrence Livermore National Laboratory

Early Career Convener:
Zhen Li, Lawrence Livermore National Laboratory

Chair:
Forrest Hoffman, Oak Ridge National Laboratory
Bharat Sharma, Northeastern University
Jing Tao, Lawrence Berkeley National Lab
Shijie Shu, University of Illinois at Urbana Champaign
Gianna Marschmann, Lawrence Berkeley National Laboratory
Hannah Holland Moritz, University of New Hampshire

Predictions of global biogeochemical cycles are an essential objective of Earth system science, and they are influenced by ecosystem structure and function, hydrological and biogeochemical cycles, and other interactions with the Earth system. Relevant ecological processes, including microbial, vegetation, and phytoplankton/zooplankton dynamics, operate at different spatial and temporal scales and vary across terrestrial, coastal, and marine ecosystems. Biogeochemical interactions may be altered by disturbances, such as hydrological extremes, wildland fires, and land cover/land use change. This session focuses on integrated understanding of terrestrial and marine mechanisms that are or should be represented in Earth system models (ESMs), methods for evaluating and benchmarking process representations in ESMs, approaches for constraining models with data or theory (e.g., emergent constraints), and novel applications of artificial intelligence and machine learning to improve predictive understanding of global biogeochemical cycles.

Index Terms
0414 Biogeochemical cycles, processes, and modeling
0426 Biosphere|atmosphere interactions
0463 Microbe|mineral interactions
0465 Microbiology: ecology, physiology and genomics

Cross-Listed:
C - Cryosphere
H - Hydrology
OS - Ocean Sciences
EP - Earth and Planetary Surface Processes

Suggested Itineraries:
Biochemistry
Machine Learning and AI
Open Science and Open Data

Neighborhoods:
3. Earth Covering