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  Measuring shallow convective mass flux profiles in the trade wind region

Klingebiel, M., Konow, H., & Stevens, B. (2021). Measuring shallow convective mass flux profiles in the trade wind region. Journal of the Atmospheric Sciences, 78, 3205-3214. doi:10.1175/JAS-D-20-0347.1.

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JCli-2021-Klingebiel.pdf (Publisher version), 2MB
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JCli-2021-Klingebiel.pdf
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2021
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 Creators:
Klingebiel, Marcus1, Author           
Konow, Heike, Author
Stevens, Bjorn2, Author                 
Affiliations:
1Tropical Cloud Observations, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_3001853              
2Director’s Research Group AES, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_913570              

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Free keywords: Clouds; Large eddy simulation; Optical radar; Radar measurement; Tropics, Convective mass flux; Cumulus cloud; Doppler lidar measurements; Flux profiles; Lidars/lidar observations; Mass fluxes/transport; Radars/radar observations; Shallow convection; Time-periods; Trade winds, Doppler radar
 Abstract: Mass flux is a key quantity in parameterizations of shallow convection. To estimate the shallow convective mass flux as accurately as possible, and to test these parameterizations, observations of this parameter are necessary. In this study, we show how much the mass flux varies and how this can be used to test factors that may be responsible for its variation. Therefore, we analyze long-term Doppler radar and Doppler lidar measurements at the Barbados Cloud Observatory over a time period of 30 months, which results in a mean mass flux profile with a peak value of 0.03 kg m-2 s-1 at an altitude of ∼730 m, similar to observations from Ghate et al. at the Azores Islands. By combining Doppler radar and Doppler lidar measurements, we find that the cloud-base mass flux depends mainly on the cloud fraction and refutes an idea based on large-eddy simulations that the velocity scale is in major control of the shallow cumulus mass flux. This indicates that the large-scale conditions might play a more important role than what one would deduce from simulations using prescribed large-scale forcings. © 2021 American Meteorological Society.

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Language(s): eng - English
 Dates: 2021-092021-10
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1175/JAS-D-20-0347.1
BibTex Citekey: KlingebielKonowEtAl2021
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Title: Journal of the Atmospheric Sciences
Source Genre: Journal
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Publ. Info: American Meteorological Society
Pages: - Volume / Issue: 78 Sequence Number: - Start / End Page: 3205 - 3214 Identifier: ISSN: 00224928