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  • H11S: On Parsimonious Mathematical Frameworks: Advancing Process-Based Understanding of Terrestrial Systems Poster
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Primary Convener:
Shashank Kumar Anand, Texas A&M University

Convener:
Orencio Duran Vinent, Texas A&M University College Station
Kaighin McColl, Harvard University
Xue Feng, University of Minnesota Twin Cities

Early Career Convener:
Sara Cerasoli, Massachusetts Institute of Technology

Chair:
Shashank Kumar Anand, Texas A&M University
Sara Cerasoli, Princeton University
Orencio Duran Vinent, Texas A&M University College Station

Complex feedbacks that shape the static structure and dynamic evolution of natural and human-altered landscapes arise from interactions within and between natural processes and human activities. This session aims to bring together hydrologists, geomorphologists, ecologists, soil physicists, and other Earth scientists who employ parsimonious mathematical frameworks—including dimensional analysis, deterministic differential equations, stochastic models, information theory, and optimization—to distill the observed complexity of terrestrial systems across diverse spatiotemporal scales and advance process-based understanding. We encourage studies ranging from theoretical insights to practical applications that show how elegant mathematical simplifications can elucidate rich system behaviors—such as scaling, nonlinearity, randomness, self-organization, and emergence, among others. Contributions are welcome on themes including, but not limited to, self-similarity and scaling in fluvial and aeolian landscape patterns and ecological systems, optimality in resource allocation—from plant-water interactions to socioeconomic carbon mitigation—and nonlinear land-atmosphere interactions.

Index Terms
1813 Eco-hydrology
1824 Geomorphology: general
1843 Land|atmosphere interactions
3299 General or miscellaneous

Co-Organized Sessions:
Nonlinear Geophysics
Earth and Planetary Surface Processes

Neighborhoods:
3. Earth Covering
1. Science Nexus

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