Approximating the Internal Variability of Bias-Corrected Global Temperature Projections with Spatial Stochastic Generators
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DOI: 10.1175/jcli-d-21-0083.1
Abstract: Decision making under climate change, from vulnerability assessments to adaptation and mitigation, requires an accurate quantification of the uncertainty in the future climate. Physically constrained projections, in the presence of both observations and climate simulations,… read more here.
Keywords: bias corrected; approximating internal; internal variability; bias ... See more keywords