Pathfinder v1.0.1: a Bayesian-inferred simple carbon–climate model to explore climate change scenarios

نویسندگان

چکیده

Abstract. The Pathfinder model was developed to fill a perceived gap within the range of existing simple climate models. is compilation formulations describing and carbon cycle systems, chosen for their balance between mathematical simplicity physical accuracy. resulting enough be used with Bayesian inference algorithms calibration, which enables assimilation latest data from complex Earth system models IPCC sixth assessment report, as well yearly update based on observations global temperature atmospheric CO2. model's also coupling integrated optimization or running in backward temperature-driven fashion. In spite this simplicity, accurately reproduces behaviours results – including several uncertainty ranges when run following standardized diagnostic experiments. an open-source model, its first comprehensive description.

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ژورنال

عنوان ژورنال: Geoscientific Model Development

سال: 2022

ISSN: ['1991-9603', '1991-959X']

DOI: https://doi.org/10.5194/gmd-15-8831-2022