For details of the entire model see: Goodwin P (2016) How historic simulation–observation discrepancy affects future warming projections in a very large model ensemble. Clim Dyn 47:2219–2233. https://doi.org/10.1007/s00382-015-2960-z
This repository contains:
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a version of WASP with an AMP algorithm that includes an acidification target. To set targets, find where Target1 and Target2 are defined and change accordingly To set strict/lenient/weighted/temp only/pH only, find Multiple_Targets_option and change according to the commented out description above. To set the weighting of pH versus warming pathways (for a weighted scenario), find the variables pH_weight and temp_weight and change accordingly (these should add up to 1)
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a version of WASP that calculates sea level rise with a nonlinear relationship between ice melt and warming. To set the relationship to linear, set ice_coeff2=0. This version of the model weights the simulations in the posterior ensemble according to how well they match observational constraints. For details, see: Goodwin P, Cael BB (2021) Bayesian estimation of Earth ’ s climate sensitivity and transient climate response from observational warming and heat content datasets. 709–723