Articles | Volume 16, issue 14
https://doi.org/10.5194/acp-16-8873-2016
https://doi.org/10.5194/acp-16-8873-2016
Research article
 | 
19 Jul 2016
Research article |  | 19 Jul 2016

Turbulence kinetic energy budget during the afternoon transition – Part 2: A simple TKE model

Erik Nilsson, Marie Lothon, Fabienne Lohou, Eric Pardyjak, Oscar Hartogensis, and Clara Darbieu

Related authors

Sea spray emissions from the Baltic Sea: comparison of aerosol eddy covariance fluxes and chamber-simulated sea spray emissions
Julika Zinke, Ernst Douglas Nilsson, Piotr Markuszewski, Paul Zieger, Eva Monica Mårtensson, Anna Rutgersson, Erik Nilsson, and Matthew Edward Salter
Atmos. Chem. Phys., 24, 1895–1918, https://doi.org/10.5194/acp-24-1895-2024,https://doi.org/10.5194/acp-24-1895-2024, 2024
Short summary
Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data
Kévin Dubois, Morten Andreas Dahl Larsen, Martin Drews, Erik Nilsson, and Anna Rutgersson
Ocean Sci., 20, 21–30, https://doi.org/10.5194/os-20-21-2024,https://doi.org/10.5194/os-20-21-2024, 2024
Short summary
Influence of data source and copula statistics on estimates of compound extreme water levels in a river mouth environment
Kévin Dubois, Morten Andreas Dahl Larsen, Martin Drews, Erik Nilsson, and Anna Rutgersson
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-176,https://doi.org/10.5194/nhess-2023-176, 2023
Revised manuscript under review for NHESS
Short summary
On physical mechanisms enhancing air–sea CO2 exchange
Lucía Gutiérrez-Loza, Erik Nilsson, Marcus B. Wallin, Erik Sahlée, and Anna Rutgersson
Biogeosciences, 19, 5645–5665, https://doi.org/10.5194/bg-19-5645-2022,https://doi.org/10.5194/bg-19-5645-2022, 2022
Short summary
Classification and properties of non-idealized coastal wind profiles – an observational study
Christoffer Hallgren, Johan Arnqvist, Erik Nilsson, Stefan Ivanell, Metodija Shapkalijevski, August Thomasson, Heidi Pettersson, and Erik Sahlée
Wind Energ. Sci., 7, 1183–1207, https://doi.org/10.5194/wes-7-1183-2022,https://doi.org/10.5194/wes-7-1183-2022, 2022
Short summary

Related subject area

Subject: Dynamics | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Wintertime extreme warming events in the high Arctic: characteristics, drivers, trends, and the role of atmospheric rivers
Weiming Ma, Hailong Wang, Gang Chen, Yun Qian, Ian Baxter, Yiling Huo, and Mark W. Seefeldt
Atmos. Chem. Phys., 24, 4451–4472, https://doi.org/10.5194/acp-24-4451-2024,https://doi.org/10.5194/acp-24-4451-2024, 2024
Short summary
Influence of lower-tropospheric moisture on local soil moisture–precipitation feedback over the US Southern Great Plains
Gaoyun Wang, Rong Fu, Yizhou Zhuang, Paul A. Dirmeyer, Joseph A. Santanello, Guiling Wang, Kun Yang, and Kaighin McColl
Atmos. Chem. Phys., 24, 3857–3868, https://doi.org/10.5194/acp-24-3857-2024,https://doi.org/10.5194/acp-24-3857-2024, 2024
Short summary
The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) – sensitivity studies and evaluation using airborne measurements of power plant emissions
Robert Hanfland, Dominik Brunner, Christiane Voigt, Alina Fiehn, Anke Roiger, and Margit Pattantyús-Ábrahám
Atmos. Chem. Phys., 24, 2511–2534, https://doi.org/10.5194/acp-24-2511-2024,https://doi.org/10.5194/acp-24-2511-2024, 2024
Short summary
Large-eddy-model closure and simulation of turbulent flux patterns over oasis surface
Bangjun Cao, Yaping Shao, Xianyu Yang, Xin Yin, and Shaofeng Liu
Atmos. Chem. Phys., 24, 275–285, https://doi.org/10.5194/acp-24-275-2024,https://doi.org/10.5194/acp-24-275-2024, 2024
Short summary
Technical note: Exploring parameter and meteorological uncertainty via emulation in volcanic ash atmospheric dispersion modelling
James M. Salter, Helen N. Webster, and Cameron Saint
EGUsphere, https://doi.org/10.5194/egusphere-2023-2870,https://doi.org/10.5194/egusphere-2023-2870, 2023
Short summary

Cited articles

Angevine, W., Baltink, H., and Bosveld, F.: Observations Of The Morning Transition Of The Convective Boundary Layer, Bound.-Lay. Meteorol., 101, 209–227, 2001.
Basu, S., Vinuesa, J., and Swift, A.: Dynamic LES modeling of a diurnal cycle, J. Appl. Meteorol. Climatol., 47, 1156–1174, 2008.
Beare, R. J., Edwards, J. M., and Lapworth, A.: Simulation of the observed evening transition and nocturnal boundary layers: large-eddy simulation, Q. J. Roy. Meteor. Soc., 132, 81–99, 2006.
Blay-Carreras, E., Pino, D., Vilà-Guerau de Arellano, J., van de Boer, A., De Coster, O., Darbieu, C., Hartogensis, O., Lohou, F., Lothon, M., and Pietersen, H.: Role of the residual layer and large-scale subsidence on the development and evolution of the convective boundary layer, Atmos. Chem. Phys., 14, 4515–4530, https://doi.org/10.5194/acp-14-4515-2014, 2014.
BLLAST: Boundary Layer Late Afternoon and Sunset Turbulence (BLLAST) website, available at: http://bllast.sedoo.fr/database/ (last access: 1 July 2016), 2015.
Short summary
A new simple model for turbulence kinetic energy (TKE) and its budget is presented for the sheared convective atmospheric boundary layer. It is used to study effects of buoyancy and shear on TKE evolution during the afternoon transition, especially near the surface. We also find a region of weak turbulence during unstable afternoon conditions below the inversion top, which we refer to as a "pre-residual layer".
Altmetrics
Final-revised paper
Preprint