2019 CSDMS meeting-020: Difference between revisions

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{{CSDMS meeting abstract title temp2019
{{CSDMS meeting abstract title temp2019
|CSDMS meeting abstract title=Bridging boundaries: a summary of the multi-scale and multi-process models in CSDMS model repositories
|CSDMS meeting abstract title=Bridging boundaries: a summary of the multi-scale and multi-process models in CSDMS model repositories
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Joel
|CSDMS meeting coauthor last name abstract=Rowland
|CSDMS meeting coauthor institute / Organization=Los Alamos National Lab
|CSDMS meeting coauthor town-city=Los Alamos
|CSDMS meeting coauthor country=United States
|State=New Mexico
|CSDMS meeting coauthor email address=jrowland@lanl.gov
}}
}}
{{CSDMS meeting abstract template 2019
{{CSDMS meeting abstract template 2019

Revision as of 16:16, 2 April 2019





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Bridging boundaries: a summary of the multi-scale and multi-process models in CSDMS model repositories

Yu Zhang, Los Alamos National Lab Los Alamos New Mexico, United States. yuzhang@lanl.gov
Joel Rowland, Los Alamos National Lab Los Alamos New Mexico, United States. jrowland@lanl.gov


Numerical models are effective and efficient tools for understanding the interactions among earth surface processes, including hydrological, biogeochemical, geomorphological, and ecological processes. These models with various complexities test hypotheses and make predictions within certain pre-defined model boundaries. These boundaries, on the one hand, reduce the complexity and noise of the system by ignoring the processes outside the boundary, which may only play a minor role in affecting the dynamics of the modeling system. On the other hand, some key processes that have a first-order control on the system dynamics may be unreasonably excluded from the modeling system. With the rapid growth of interdisciplinary researches, there is a more urgent need of revisiting the definition of the boundaries in the current numerical models to understand the gaps in bridging the boundaries between disciplines. This study is developed to meet this need. We investigate the models in the CSDMS model repositories by analyzing the models’ integration, processes, boundary conditions, and spatial and temporal scales and summarized the potential gaps between boundaries that the current models present. This is the first study that conducts a comprehensive review of the models in the earth system modeling community, which provide insights on future model integration and coupling across boundaries.