Preprints
https://doi.org/10.5194/egusphere-2022-1000
https://doi.org/10.5194/egusphere-2022-1000
 
28 Nov 2022
28 Nov 2022
Status: this preprint is open for discussion.

All aboard! Earth system investigations with the CH2O-CHOO TRAIN v1.0

Tyler Kukla1, Daniel Ibarra2,3, Kimberly V. Lau4, and Jeremy K. C. Rugenstein1,5 Tyler Kukla et al.
  • 1Department of Geosciences, Colorado State University, Fort Collins, CO, USA
  • 2Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI, USA
  • 3Institute at Brown for Environment and Society, Brown University, Providence, RI, USA
  • 4Department of Geosciences and Earth and Environmental Systems Institute, The Pennsylvania State University, University Park, PA, USA
  • 5Max Planck Institute for Meteorology, Hamburg, Germany

Abstract. Models of the carbon cycle and climate on geologic (>104 year) timescales have improved tremendously in the last 50 years due to parallel advances in our understanding of the Earth system and the increase in computing power to simulate its key processes. Despite these advances, balancing the Earth System's vast complexity with a model's computational expense is a primary challenge in model development. Running longer simulations spanning hundreds of thousands of years or more generally requires reducing the complexity of the modeled climate system. However, simpler model frameworks often leave out certain features of the climate system, such as radiative feedbacks, shifts in atmospheric circulation, and the expansion and decay of ice sheets, which can have profound effects on the long-term carbon cycle. Here, we present a model for climate and the long-term carbon cycle that captures many fundamental features of global climate while retaining the computational efficiency needed to simulate millions of years of time. The Carbon-H2O Coupled HydrOlOgical model with Terrestrial Runoff And INsolation, or CH2O-CHOO TRAIN, couples a one-dimensional (latitudinal) moist static energy balance model of climate with a model for rock weathering and the long-term carbon cycle. The key advantages of this framework are (1) it simulates fundamental climate forcings and feedbacks; (2) it accounts for geographic configuration; and (3) it is highly customizable, equipped to easily add features, change the strength of feedbacks, and prescribe conditions that are often hard-coded or emergent properties of more complex models, such as climate sensitivity and the strength of meridional heat transport. The CH2O-CHOO TRAIN is capable of running million-year-long simulations in about thirty minutes on a laptop PC. This paper outlines the model equations, presents a sensitivity analysis of the climate responses to varied climatic and carbon cycle perturbations, and discusses potential applications and next stops for the CH2O-CHOO TRAIN.

Tyler Kukla et al.

Status: open (until 09 Mar 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Referee comment on egusphere-2022-1000', Pierre Maffre, 13 Jan 2023 reply

Tyler Kukla et al.

Model code and software

CH2O-CHOO TRAIN v1.0 | Model code, instructions for running the model, and accessory scripts for plotting and generating new model input files Kukla, Ibarra, Lau, Rugenstein https://zenodo.org/record/7072803#.YzLgV6TMK3C

Tyler Kukla et al.

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Short summary
The CH2O-CHOO TRAIN model can simulate how climate and the long-term carbon cycle interact across millions of years on a standard PC. While efficient, the model accounts for many factors including the location of land masses, the spatial pattern of the water cycle, and fundamental climate feedbacks. The model is a powerful tool for investigating how short-term climate processes can affect long-term changes in the Earth System.