A Terrestrial Integrated Modeling System (TIMS) at a catchment scale – implications for Earth System Modeling

Guo-Yue Niu1, Yuanhao Fang1, Runjian Wu2, Andrea Mathias2, Claudio Paniconi3, Peter A A Troch4, Xubin Zeng1, Jon Chorover5 and Russell K Monson6, (1)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (2)University of Arizona, Tucson, AZ, United States, (3)Institut National de la Recherche Scientifique-Eau Terre Environnement INRS-ETE, Quebec City, QC, Canada, (4)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States, (5)University of Arizona, Department of Environmental Science, Tucson, United States, (6)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States
Abstract:
To enhance our predictive understandings of the interactions between the soil, plants, and air and their integrated behavior at hillslope and catchment scales, we have been developing a Terrestrial Integrated Modeling System (TIMS). TIMS aims to numerically simulate various physical and chemical processes that occur over the Earth’s terrestrial surface, e.g., exchanges and flows of energy, water, carbon and other chemicals between and within the soil, plants, and air. TIMS is being compiled from existing models that have arisen from individual scientific communities, including 1) a surface energy, water, and carbon exchange scheme (NoahMP), 2) a 3-dimensional physically-based hydrological model (CATHY), 3) a reactive transport model (CrunchFlow), and 4) an individual-based vegetation dynamics model (ECOTONE). TIMS also integrates newly developed components, e.g., a microbial enzyme based soil organic carbon decomposition model and a solar radiation correction scheme accounting for the effects of terrain shading and slope angle and aspect. We will present the current state of TIMS development and some validations against measurements at various scales, the challenges for developing and evaluating such a complex modeling system, and implications for scaling-up plot-scale processes (e.g., AmeriFlux) to global-scale land surface models for use in Earth System Models (ESMs).