Decomposing Effective Radiative Forcing Due to Aerosol Cloud Interactions by Global Cloud Regimes. Issue 18 (13th September 2021)

• Record Type: Journal Article
• Authors: Langton, Tom; Stier, Philip; Watson‐Parris, Duncan; Mulcahy, Jane P.
• Is Part Of: Geophysical research letters. Volume 48:Issue 18(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-09-13
• Subjects: Aerosol -- Clouds -- effective radiative forcing -- HadGEM -- Regimes -- Stratocumulus; Geophysics -- Periodicals; Planets -- Periodicals; Lunar geology -- Periodicals; 550
• DOI: 10.1029/2021GL093833
• Languages: English
• ISSNs: 0094-8276

Abstract

Abstract: Quantifying effective radiative forcing due to aerosol‐cloud interactions (E E R F A C I ) remains a largely uncertain process, and the magnitude remains unconstrained in general circulation models. Previous studies focus on the magnitude of E R F A C I arising from all cloud types, or examine it in the framework of dynamical regimes. Aerosol forcing due to aerosol‐cloud interactions in the HadGEM3‐GA7.1 global climate model is decomposed into several global observational cloud regimes. Regimes are assigned to model gridboxes and forcing due to aerosol‐cloud interactions is calculated on a regime‐by‐regime basis with a 20‐year averaging period. Patterns of regime occurrence are in good agreement with satellite observations. ERFACI is then further decomposed into three terms, representing radiative changes within a given regime, transitions between different cloud regimes, and nonlinear effects. The total global mean ERFACI is − 1.03 Wm −2 . When decomposed, simulated ERFACI is greatest in the thick stratocumulus regime (−0.51 Wm −2 ). Plain Language Summary: The effect of anthropogenic aerosol emissions on clouds is highly uncertain in climate models. Many previous attempts to reduce this uncertainty have focused on examining all cloud types as a whole. This work sets out a framework to examine one measure of aerosol‐cloud interactions when the effect is split by different cloud types. This framework is applied to the HadGEM3‐GA7.1 climate model. It is found that thick stratocumulus clouds exhibit the strongest aerosol‐cloud interactions, especially those found off the west coast of both North and South America, and West Africa. It is hoped that this will lead to a greater understanding of how these interactions manifest themselves in different cloud types, and that this methodology will promote the use of constraints on specific cloud types, to provide potentially greater reductions in the aforementioned uncertainty. Key Points: The majority of effective radiative forcing in HadGEM3‐GA7.1 comes from stratocumulus clouds Forcing from marine stratocumulus clouds is highly sensitive to aerosol perturbations Decomposing radiative forcing by cloud regimes can be a useful technique to gain insights into climate model predictions