Statistical constraints on climate model parameters using a scalable cloud-based inference framework

Statistical constraints on climate model parameters using a scalable cloud-based inference framework

Atmospheric aerosols influence the Earth’s climate, primarily by affecting cloud formation and scattering visible radiation. However, aerosol-related physical processes in climate simulations are highly uncertain. Constraining these processes could help improve model-based climate predictions. We pr...

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Bibliographic Details
Main Authors: James Carzon, Bruno Abreu, Leighton Regayre, Kenneth Carslaw, Lucia Deaconu, Philip Stier, Hamish Gordon, Mikael Kuusela
Format: Article
Language:English
Published: Cambridge University Press 2023-01-01
Series:Environmental Data Science
Subjects:
gaussian process emulator
inverse problem
model discrepancy
perturbed parameter ensemble
strict bounds
UKESM1
Online Access:https://www.cambridge.org/core/product/identifier/S2634460223000122/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2634460223000122/type/journal_article

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