2022
DOI: 10.5194/amt-15-1185-2022
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Low-level buoyancy as a tool to understand boundary layer transitions

Abstract: Abstract. Advancements in remotely piloted aircraft systems (RPASs) introduced a new way to observe the atmospheric boundary layer (ABL). Adequate sampling of the lower atmosphere is key to improving numerical weather models and understanding fine-scale processes. The ABL's sensitivity to changes in surface fluxes leads to rapid changes in thermodynamic variables. This study proposes using low-level buoyancy to characterize ABL transitions. Previously, buoyancy has been used as a bulk parameter to quantify sta… Show more

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Cited by 5 publications
(4 citation statements)
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“…In this context, high-quality data refer to observational data that are accurate, precise, reliable, and free from significant errors or biases [5]. For instance, high-quality RS data can be used to understand boundary layer processes such as vertical structure [6], Boundary Layer Height [7] evolution [8], and turbulence [9]. Furthermore, to understand radiative transfer calculations, RS data provide crucial atmospheric parameters such as temperature, humidity, and pressure which are used to validate and calibrate radiative transfer models [10].…”
Section: Introductionmentioning
confidence: 99%
“…In this context, high-quality data refer to observational data that are accurate, precise, reliable, and free from significant errors or biases [5]. For instance, high-quality RS data can be used to understand boundary layer processes such as vertical structure [6], Boundary Layer Height [7] evolution [8], and turbulence [9]. Furthermore, to understand radiative transfer calculations, RS data provide crucial atmospheric parameters such as temperature, humidity, and pressure which are used to validate and calibrate radiative transfer models [10].…”
Section: Introductionmentioning
confidence: 99%
“…Morning and evening transitions are flow regimes that are not fully understood, and more measurements are needed (Lothon et al, 2014). Wind lidars (Knoop et al, 2021) can provide wind profiles at one location, whereas unmanned aircraft (Lappin et al, 2022;Rautenberg et al, 2018) deliver ABL data on a larger spatial scale. Air traffic provides a huge amount of wind data (De Haan, 2011;Petersen, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Observations from fixed-wing UAS deliver horizontal transects of the environmental state, capturing heterogeneities in the ABL during turbulent times, such as during the passage of the sea breeze front (SBF) or prior to convection initiation (CI). Rotary-wing UAS, which collect repeated vertical profiles, resolve the structural evolution of the ABL in transitional and pre-convection condi-tions (de Boer et al, 2020;Lappin et al, 2022). The TRACER-UAS campaign deployed the University of Colorado Integrated Remote and In Situ Sensing (IRISS) Robust Autonomous Aerial Vehicle -Endurant Nimble (RAAVEN) and the University of Oklahoma CopterSonde UAS (Segales, 2022).…”
Section: Introductionmentioning
confidence: 99%