The CLoud–Aerosol–Radiation Interaction and Forcing: Year 2017 (CLARIFY-2017) measurement campaign

Jim Haywood(Met Office), Steven J. Abel(Met Office), Paul A. Barrett(Met Office), Nicolas Bellouin(University of Reading), Alan Blyth(University of Leeds), Keith Bower(University of Manchester), M. E. Brooks(Met Office), K. S. Carslaw(University of Leeds), Haochi Che(University of Oxford), Hugh Coe(University of Manchester), Michael I. Cotterell(University of Exeter), Ian Crawford(University of Manchester), Zhiqiang Cui(University of Leeds), Nicholas W. Davies(University of Exeter), Beth Dingley(University of Exeter), Paul Field(Met Office), Paola Formenti(Centre National de la Recherche Scientifique), Hamish Gordon(University of Leeds), Martin de Graaf(Royal Netherlands Meteorological Institute), Ross Herbert(University of Reading), Ben Johnson(Met Office), Anthony C. Jones(Met Office), Justin M. Langridge(Met Office), Florent Malavelle(Met Office), Daniel G. Partridge(University of Exeter), Fanny Peers(University of Exeter), Jens Redemann(University of Oklahoma), Philip Stier(University of Oxford), Kate Szpek(Met Office), Jonathan Taylor(University of Manchester), Duncan Watson‐Parris(University of Oxford), Robert Wood(University of Washington), Huihui Wu(University of Manchester), Paquita Zuidema(University of Miami)
Atmospheric chemistry and physics
January 27, 2021
Cited by 176Open Access
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Abstract

Abstract. The representations of clouds, aerosols, and cloud–aerosol–radiation impacts remain some of the largest uncertainties in climate change, limiting our ability to accurately reconstruct past climate and predict future climate. The south-east Atlantic is a region where high atmospheric aerosol loadings and semi-permanent stratocumulus clouds are co-located, providing an optimum region for studying the full range of aerosol–radiation and aerosol–cloud interactions and their perturbations of the Earth's radiation budget. While satellite measurements have provided some useful insights into aerosol–radiation and aerosol–cloud interactions over the region, these observations do not have the spatial and temporal resolution, nor the required level of precision to allow for a process-level assessment. Detailed measurements from high spatial and temporal resolution airborne atmospheric measurements in the region are very sparse, limiting their use in assessing the performance of aerosol modelling in numerical weather prediction and climate models. CLARIFY-2017 was a major consortium programme consisting of five principal UK universities with project partners from the UK Met Office and European- and USA-based universities and research centres involved in the complementary ORACLES, LASIC, and AEROCLO-sA projects. The aims of CLARIFY-2017 were fourfold: (1) to improve the representation and reduce uncertainty in model estimates of the direct, semi-direct, and indirect radiative effect of absorbing biomass burning aerosols; (2) to improve our knowledge and representation of the processes determining stratocumulus cloud microphysical and radiative properties and their transition to cumulus regimes; (3) to challenge, validate, and improve satellite retrievals of cloud and aerosol properties and their radiative impacts; (4) to improve the impacts of aerosols in weather and climate numerical models. This paper describes the modelling and measurement strategies central to the CLARIFY-2017 deployment of the FAAM BAe146 instrumented aircraft campaign, summarizes the flight objectives and flight patterns, and highlights some key results from our initial analyses.


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