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On the meso versus large scale control of trade cumulus clouds

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dc.contributor.advisor Mieslinger, Theresa
dc.contributor.advisor George, Geet
dc.contributor.advisor Stevens, Bjorn
dc.contributor.author SINGH, CHITVAN
dc.date.accessioned 2026-05-22T05:10:37Z
dc.date.available 2026-05-22T05:10:37Z
dc.date.issued 2026-05
dc.identifier.citation 83 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/11130
dc.description.abstract Trade cumulus clouds are small clouds whose behaviour cannot be attributed to a single environmental factor. Previous studies have shown that some of their variability can be explained by large-scale environmental changes on daily to monthly timescales. At the same time, the clouds themselves exhibit substantial variability on hourly (meso- scales) timescales. Recent studies suggest that this mesoscale variability is associated with mesoscale circulations and rain-driven cold pools. However, it remains unclear how the two scales come together in their control the clouds. This gap is investigated in this thesis. Addressing this question requires examining the types of clouds observed by studies focusing on mesoscale processes versus those emphasising large-scale variability. Large-scale factors are typically studied using satellite observations of cloudiness, while mesoscale processes have been examined using airborne cloud observations. Using observations from the EUREC4 A campaign which happened in January-February 2020, east of Barbados, the study shows that mesoscale circulations under non-precipitating conditions are associated with projected cloud cover whose cloud tops lie between 900 m and 1400 m. Furthermore, projected cloud cover below 900 m, which accounts for more than 25% of trade wind cloudiness, is not explained by the cloud-base convective mass flux. Instead, it is strongly associated with wind shear within the cloud layer. Together, cloud-layer shear and convective mass flux explain nearly 80% of low-level trade wind cloudiness. For precipitating clouds at higher altitudes, I find a strong association with mesoscale vertical motion at approximately 1900 m. Using a case study of two days characterised by different types of mesoscale organisation, The study proposes the hypothesis that explaining the high cloud cover - which accounts for nearly 60% of trade wind cloudiness requires a cloud–circulation–rain framework that combines the effects of cold pools with mesoscale circulations. Such a framework provides a pathway toward understanding the mesoscale patterns of cloudiness observed from space. en_US
dc.description.sponsorship IISER-MPG Program en_US
dc.language.iso en en_US
dc.subject Atmospheric Science en_US
dc.subject Mesoscale Systems en_US
dc.subject Observational Meteorology en_US
dc.subject Field Campaigns en_US
dc.subject EUREC4A en_US
dc.subject Clouds en_US
dc.subject Trade Winds en_US
dc.title On the meso versus large scale control of trade cumulus clouds en_US
dc.type Thesis en_US
dc.description.embargo No Embargo en_US
dc.type.degree BS-MS en_US
dc.contributor.department Dept. of Earth and Climate Science en_US
dc.contributor.registration 20211072 en_US


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  • MS THESES [2219]
    Thesis submitted to IISER Pune in partial fulfilment of the requirements for the BS-MS Dual Degree Programme/MSc. Programme/MS-Exit Programme

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