Quantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraints
While many studies have tried to quantify the sign and the magnitude of the warm marine cloud response to aerosol loading, both remain uncertain, owing to the multitude of factors that modulate microphysical and thermodynamic processes within the cloud. Constraining aerosol–cloud interactions using...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
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Copernicus Publications
2019
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| _version_ | 1797063864263639040 |
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| author | Douglas, A L’Ecuyer, T |
| author_facet | Douglas, A L’Ecuyer, T |
| author_sort | Douglas, A |
| collection | OXFORD |
| description | While many studies have tried to quantify the sign and the magnitude of the warm marine cloud response to aerosol loading, both remain uncertain, owing to the multitude of factors that modulate microphysical and thermodynamic processes within the cloud. Constraining aerosol–cloud interactions using the local meteorology and cloud liquid water may offer a way to account for covarying influences, potentially increasing our confidence in observational estimates of warm cloud indirect effects. A total of 4 years of collocated satellite observations from the NASA A-Train constellation, combined with reanalysis from MERRA-2, are used to partition marine warm clouds into regimes based on stability, the free atmospheric relative humidity, and liquid water path. Organizing the sizable number of satellite observations into regimes is shown to minimize the covariance between the environment or liquid water path and the indirect effect. Controlling for local meteorology and cloud state mitigates artificial signals and reveals substantial variance in both the sign and magnitude of the cloud radiative response, including regions where clouds become systematically darker with increased aerosol concentration in dry, unstable environments. A darkening effect is evident even under the most stringent of constraints. These results suggest it is not meaningful to report a single global sensitivity of cloud radiative effect to aerosol. To the contrary, we find the sensitivity can range from −0.46 to 0.11 Wm−2 ln(AI)−1 regionally. |
| first_indexed | 2024-03-06T21:06:03Z |
| format | Journal article |
| id | oxford-uuid:3c7d5435-d1f8-4650-bb8b-e33bf97eaa86 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T21:06:03Z |
| publishDate | 2019 |
| publisher | Copernicus Publications |
| record_format | dspace |
| spelling | oxford-uuid:3c7d5435-d1f8-4650-bb8b-e33bf97eaa862022-03-26T14:13:59ZQuantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraintsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3c7d5435-d1f8-4650-bb8b-e33bf97eaa86EnglishSymplectic ElementsCopernicus Publications2019Douglas, AL’Ecuyer, TWhile many studies have tried to quantify the sign and the magnitude of the warm marine cloud response to aerosol loading, both remain uncertain, owing to the multitude of factors that modulate microphysical and thermodynamic processes within the cloud. Constraining aerosol–cloud interactions using the local meteorology and cloud liquid water may offer a way to account for covarying influences, potentially increasing our confidence in observational estimates of warm cloud indirect effects. A total of 4 years of collocated satellite observations from the NASA A-Train constellation, combined with reanalysis from MERRA-2, are used to partition marine warm clouds into regimes based on stability, the free atmospheric relative humidity, and liquid water path. Organizing the sizable number of satellite observations into regimes is shown to minimize the covariance between the environment or liquid water path and the indirect effect. Controlling for local meteorology and cloud state mitigates artificial signals and reveals substantial variance in both the sign and magnitude of the cloud radiative response, including regions where clouds become systematically darker with increased aerosol concentration in dry, unstable environments. A darkening effect is evident even under the most stringent of constraints. These results suggest it is not meaningful to report a single global sensitivity of cloud radiative effect to aerosol. To the contrary, we find the sensitivity can range from −0.46 to 0.11 Wm−2 ln(AI)−1 regionally. |
| spellingShingle | Douglas, A L’Ecuyer, T Quantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraints |
| title | Quantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraints |
| title_full | Quantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraints |
| title_fullStr | Quantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraints |
| title_full_unstemmed | Quantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraints |
| title_short | Quantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraints |
| title_sort | quantifying variations in shortwave aerosol cloud radiation interactions using local meteorology and cloud state constraints |
| work_keys_str_mv | AT douglasa quantifyingvariationsinshortwaveaerosolcloudradiationinteractionsusinglocalmeteorologyandcloudstateconstraints AT lecuyert quantifyingvariationsinshortwaveaerosolcloudradiationinteractionsusinglocalmeteorologyandcloudstateconstraints |