Vertical Profiles of Turbulence Parameters in the Thermal Internal Boundary Layer

Martins, Luís Gustavo Nogueira; Acevedo, Otávio C.; Puhales, Franciano Scremin; Degrazia, Gervásio Annes; Oliveira, Pablo E. S.

doi:10.1007/s10546-020-00603-z

Cited by 7 publications

(9 citation statements)

References 65 publications

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“…This is often caused by heterogeneity in surface roughness, the effect of which is discussed in terms of the morphology of the land use condition 4–7 . In addition, thermal heterogeneity often arises owing to differing surface albedo and heat capacities at the land–sea interface 8–15 . This has occasionally been a focal WT issue under stably stratified conditions in the northwestern European region 13,14 .…”

Section: Introductionmentioning

confidence: 99%

“…The thermal IBL (TIBL) is characteristically observed with the developing state of the capping inversion layer when, for example, wind flows from the neutrally stratified sea side to the unstable land side. Unstable mixing develops in the inversion layer, resulting in an enhanced top‐down entrainment process 11,15 . However, as in Beljaars et al, 10 we focused on the near‐surface tendencies of the developing TIBL in this research, which is of key importance for estimating wind conditions around wind turbine arrays (WTAs).…”

Section: Introductionmentioning

confidence: 99%

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Interaction between heterogeneous thermal stratification and wakes of wind turbine arrays

Nakao

Hattori

2022

Wind Energy

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interaction between heterogeneous thermal stratification and wakes of wind turbine arrays

Nakao

Hattori

2022

Wind Energy

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“…In summer, the variation in the structure and dynamics of coastal ABL is affected by the onshore wind, as it blows the stable air from the sea to the land during daytime. As a result of the surface heating and aerodynamic roughness changing intensifying the turbulence, a convective thermal internal boundary layer (TIBL) in the lowest atmospheric layer is induced at coastal areas (Garratt, 1990;Prabha et al, 2002;Davis et al, 2021;Martins et al, 2021). The high-water vapor mixing ratios often observed within TIBL indicate that incoming marine air is mixed inside of it (Talbot et al, 2007).…”

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confidence: 99%

Investigation of Coastal Atmospheric Boundary Layer and Particle by Unmanned Aerial Vehicle under Different Land-sea Temperature

Tang

Yang

et al. 2022

Aerosol Air Qual. Res.

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During summer daytime, the surface PM2.5 concentration tends to rise briefly in the west coast of Bohai Sea, which might be related to the thermal internal boundary layer (TIBL) formed by the land-sea thermal interaction. In this study, we investigated the relationship between land-sea air temperature and pollutant concentration in summer over a coastal region of northern China using an unmanned aerial vehicle (UAV)-measurement platform to obtain vertical meteorological data and pollutant concentration. In midday, when only considered onshore winds, PM2.5 concentration was significantly higher than that in not considered onshore winds, meanwhile the high positive correlation between land-sea temperature difference and particle concentration was identified. It can be seen from the UAV observed profiles that the TIBLs were formed at the bottom of the atmospheric layer in the daytime with height values in the range of 44-97 m, resulting from the impact of onshore winds caused by land-sea thermal difference. This land-sea thermal difference influences the atmospheric boundary layer (ABL) and TIBL structures, also the PM2.5 concentration diffusion. We found that larger land-sea temperature difference could induce lower coastal ABL height and larger potential temperature vertical gradients below TIBL, even delaying the stable layer establishment. When TIBL and ABL heights increased, as a result, the height of the maximum PM2.5 concentration also increased. In addition, TIBL could lead to an increase in surface PM2.5 concentration lasting for 2 hours during the daytime. Our results establish the relationship between land-sea temperature difference and particle diffusion, and have an important role in coastal air quality forecast

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“…A comprehensive overview on CBL turbulence analyses could be achieved via obtaining mean vertical profiles of wind, moisture, and temperature as well as their respective turbulence fluctuations (Wulfmeyer et al, 2018). There exist several methods using which ABL turbulence processes are investigated including tower-based eddy covariance (EC) measurements (Businger et al, 1971;Kaimal and Gaynor, 1983;Dupont & Patton 2012, Martins et al, 2021, lidar (Lenschow et al, 2000;Hogan et al, 2009;Wulfmeyer et al, 2010;McNicholas & Turner, 2014;Behrendt et al, 2015;Muppa et al, 2015), tethered balloons (Holden et al, 2000), LES and WRF-LES (Liu et al, 2020), airborne measurements (Lenschow et al, 1980), helicopter-borne measurements (Bange and Roth, 1999), very recently UAS (zum Berge et al, 2021), and lastly a combination of multiple methods (Wulfmeyer, 1999;Couvreux et al, 2007;Zhang et al, 2011;Lenschow et al, 2012;Wulfmeyer et al, 2018).…”

mentioning

confidence: 99%

“…Kaimal et al (1976) deployed tethered balloons and a 32-meter tower to study turbulence structures in the surface layer. A very recent study (Martins et al, 2021) used measurements of temperature and the velocity components obtained on a 140-m tall tower at 10 levels in south-eastern Brazil to better understand the turbulence structure of the thermal internal boundary layer (TIBL).…”

mentioning

confidence: 99%

Multi-variable turbulence characteristics of the daytime atmospheric boundary layer over an arid region using measurements from a 200-m tall tower

Hamel

Pal

Hirth

2022

Preprint

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Turbulence parameterizations (TP) in numerical weather prediction models remains one of the challenging tasks as we lack a comprehensive understanding on the turbulence processes under myriad weather conditions. One way to make improvements to these TPs is through obtaining empirical evidence of turbulence structures via exploring multi-parameter turbulence analyses. To the best of our knowledge, we reported here the first multi-parameter vertical profiles of turbulence characteristics based on the analyses of higher-order moments of five key thermodynamic variables in the lower part of the atmospheric boundary layer (ABL) over an arid region. Observational studies reporting turbulence features in the ABL over arid regions remain underexplored although drylands are home to more than 38% of the world's population. Due to lack of adequate soil moisture, two of the key features of land-atmosphere feedback over an arid region are strong sensible-heat fluxes and intense turbulentmixing. We used high-resolution (50-Hz) measurements of 3-d wind components, moisture, and temperature obtained at 10 vertical levels on a 200-m Tall Tower at Reese Technology Center in Lubbock located in Texas Panhandle in the US to explore turbulence characteristics under synoptically benign weather conditions. To demonstrate the method, we choose a case study (18 July 2020) where we used daytime measurements obtained on the tower from 17:00-00:00 UTC (12:00-19:00 LT). We found evidence that there is an altitude dependence on the location of the peak values of the variance and skewness of the vertical, zonal, and meridional velocity, potential temperature, and specific humidity. Hosted fileessoar.10512363.1.docx available at https://authorea.com/users/551899/articles/604548-multivariable-turbulence-characteristics-of-the-daytime-atmospheric-boundary-layer-over-anarid-region-using-measurements-from-a-200-m-tall-tower

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Vertical Profiles of Turbulence Parameters in the Thermal Internal Boundary Layer

Cited by 7 publications

References 65 publications

Interaction between heterogeneous thermal stratification and wakes of wind turbine arrays

Interaction between heterogeneous thermal stratification and wakes of wind turbine arrays

Investigation of Coastal Atmospheric Boundary Layer and Particle by Unmanned Aerial Vehicle under Different Land-sea Temperature

Multi-variable turbulence characteristics of the daytime atmospheric boundary layer over an arid region using measurements from a 200-m tall tower

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