Exploring Marine Cloud Brightening with a Reduced Complexity Model.
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| Title: | Exploring Marine Cloud Brightening with a Reduced Complexity Model. |
|---|---|
| Authors: | Khan, Muhammad Mueed1 (AUTHOR) mueedkhan@cmu.edu, Runyan, Christopher1 (AUTHOR), Bashir, Shahzad2 (AUTHOR), Amjad, Abdul Basit3 (AUTHOR) |
| Source: | Journal of Meteorological Research. Dec2024, Vol. 38 Issue 6, p1093-1104. 12p. |
| Subject Terms: | *Stratus clouds, *Climate change mitigation, *Computational fluid dynamics, *Solar radiation, *Cloud droplets |
| Abstract: | Throughout the industrial period, anthropogenic aerosols have likely offset approximately one-third of the warming caused by greenhouse gases. Marine cloud brightening aims to capitalize on one aspect of this phenomenon to potentially mitigate global warming by enhancing cloud reflectivity through adjustments in cloud droplet concentration. This study employs a simplified yet comprehensive modeling framework, integrating an open-source parcel model for aerosol activation, a radiation transport model based on commercial computational fluid dynamics code, and assimilated meteorological data. The reduced complexity model addresses the challenges of rapid radiation transfer calculations while managing uncertainties in aerosol–cloud-radiation (ACR) parameterizations. Despite using an uncoupled ACR mechanism and omitting feedback between clouds and aerosols, our results closely align with observations, validating the robustness of our assumptions and methodology. This demonstrates that even simplified models, supported by parcel modeling and observational constraints, can achieve accurate radiation transfer calculations comparable to advanced climate models. We analyze how variations in droplets size and concentration affect cloud albedo for geoengineering applications. Optimal droplet sizes, typically within the 20–35-µm range, significantly increase cloud albedo by approximately 28%–57% across our test cases. We find that droplets transmit about 29% more solar radiation than droplets. Effective albedo changes require injection concentrations exceeding background levels by around 30%, diminishing as concentrations approach ambient levels. Considerations must also be given to the spray pattern of droplet injections, as effective deployment can influence cloud thickness and subsequently impact cloud albedo. This research provides insights into the feasibility and effectiveness of using a reduced complexity model for marine cloud brightening with frontal cyclone and stratus cumulus clouds, and emphasizes the need to also consider background droplets size and concentration than just meteorological conditions. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 182537176 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Exploring Marine Cloud Brightening with a Reduced Complexity Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Khan%2C+Muhammad+Mueed%22">Khan, Muhammad Mueed</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mueedkhan@cmu.edu</i><br /><searchLink fieldCode="AR" term="%22Runyan%2C+Christopher%22">Runyan, Christopher</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bashir%2C+Shahzad%22">Bashir, Shahzad</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Amjad%2C+Abdul+Basit%22">Amjad, Abdul Basit</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Meteorological+Research%22">Journal of Meteorological Research</searchLink>. Dec2024, Vol. 38 Issue 6, p1093-1104. 12p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Stratus+clouds%22">Stratus clouds</searchLink><br />*<searchLink fieldCode="DE" term="%22Climate+change+mitigation%22">Climate change mitigation</searchLink><br />*<searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink><br />*<searchLink fieldCode="DE" term="%22Solar+radiation%22">Solar radiation</searchLink><br />*<searchLink fieldCode="DE" term="%22Cloud+droplets%22">Cloud droplets</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Throughout the industrial period, anthropogenic aerosols have likely offset approximately one-third of the warming caused by greenhouse gases. Marine cloud brightening aims to capitalize on one aspect of this phenomenon to potentially mitigate global warming by enhancing cloud reflectivity through adjustments in cloud droplet concentration. This study employs a simplified yet comprehensive modeling framework, integrating an open-source parcel model for aerosol activation, a radiation transport model based on commercial computational fluid dynamics code, and assimilated meteorological data. The reduced complexity model addresses the challenges of rapid radiation transfer calculations while managing uncertainties in aerosol–cloud-radiation (ACR) parameterizations. Despite using an uncoupled ACR mechanism and omitting feedback between clouds and aerosols, our results closely align with observations, validating the robustness of our assumptions and methodology. This demonstrates that even simplified models, supported by parcel modeling and observational constraints, can achieve accurate radiation transfer calculations comparable to advanced climate models. We analyze how variations in droplets size and concentration affect cloud albedo for geoengineering applications. Optimal droplet sizes, typically within the 20–35-µm range, significantly increase cloud albedo by approximately 28%–57% across our test cases. We find that droplets transmit about 29% more solar radiation than droplets. Effective albedo changes require injection concentrations exceeding background levels by around 30%, diminishing as concentrations approach ambient levels. Considerations must also be given to the spray pattern of droplet injections, as effective deployment can influence cloud thickness and subsequently impact cloud albedo. This research provides insights into the feasibility and effectiveness of using a reduced complexity model for marine cloud brightening with frontal cyclone and stratus cumulus clouds, and emphasizes the need to also consider background droplets size and concentration than just meteorological conditions. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=182537176 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13351-024-4064-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1093 Subjects: – SubjectFull: Stratus clouds Type: general – SubjectFull: Climate change mitigation Type: general – SubjectFull: Computational fluid dynamics Type: general – SubjectFull: Solar radiation Type: general – SubjectFull: Cloud droplets Type: general Titles: – TitleFull: Exploring Marine Cloud Brightening with a Reduced Complexity Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khan, Muhammad Mueed – PersonEntity: Name: NameFull: Runyan, Christopher – PersonEntity: Name: NameFull: Bashir, Shahzad – PersonEntity: Name: NameFull: Amjad, Abdul Basit IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20956037 Numbering: – Type: volume Value: 38 – Type: issue Value: 6 Titles: – TitleFull: Journal of Meteorological Research Type: main |
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