Chapter 20 Review and intercomparison of operational methods for the determination of the mixing height

Seibert, Petra; Beyrich, Frank; Gryning, Sven‐Erik; Joffre, Sylvain M.; Rasmussen, Alix; Tercier, P.

doi:10.1016/s1474-8177(02)80023-7

Cited by 8 publications

(9 citation statements)

References 109 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Radiosonde (RS) measurements are one of most widely used methods, especially in China, to derive the SBL height and CBL height due to the ability to characterize the thermodynamic and dynamic states of the boundary layer (Piringer et al, 2007;Seidel et al, 2010;Guo et al, 2019). Meteorological radiosondes perform measurements at the international standard weather station (39.484 • N, 116.282 • E), which was located nearly 11 km from the lidar station.…”

Section: Mlh From Radiosondementioning

confidence: 99%

“…In existing studies, numerical simulations, ground-based remote sensing or meteorological radiosondes are used to obtain the characterization of the MLH during short time periods in Beijing, mainly focusing on heavy pollution events (Yang et al, 2005;Quan et al, 2013;Hu et al, 2014;, which underscores the scarceness of continuous high-resolution measurements for a long time period. Depending on the measured atmospheric parameters and observational uncertainties, different measurement approaches may reveal different aspects of PBL structure (Seibert et al, 2000;Seidel et al, 2010;Beyrich and Leps, 2012). Thus, it is of great significance to apply consistent algorithms to consistent types of atmospheric structure parameters when comparing the MLH from different times.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determination and climatology of the diurnal cycle of the atmospheric mixing layer height over Beijing 2013–2018: lidar measurements and implications for air pollution

Wang

Yang

et al. 2020

Atmos. Chem. Phys.

View full text Add to dashboard Cite

Abstract. The atmospheric mixing layer height (MLH) determines the space in which pollutants diffuse and is thus conducive to the estimation of the pollutant concentration near the surface. The study evaluates the capability of lidar to describe the evolution of the atmospheric mixing layer and then presents a long-term observed climatology of the MLH diurnal cycle. Detection of the mixing layer heights (MLHL and MLHL′) using the wavelet method based on lidar observations was conducted from January 2013 to December 2018 in the Beijing urban area. The two dataset results are compared with radiosonde as case studies and statistical forms. MLHL shows good performance in calculating the convective layer height in the daytime and the residual layer height at night. While MLHL′ has the potential to describe the stable layer height at night, the performance is limited due to the high range gate of lidar. A nearly 6-year climatology for the diurnal cycle of the MLH is calculated for convective and stable conditions using the dataset of MLHL from lidar. The daily maximum MLHL characteristics of seasonal change in Beijing indicate that it is low in winter (1.404±0.751 km) and autumn (1.445±0.837 km) and high in spring (1.647±0.754 km) and summer (1.526±0.581 km). A significant phenomenon is found from 2014 to 2018: the magnitude of the diurnal cycle of MLHL increases year by year, with peak values of 1.291±0.646 km, 1.435±0.755 km, 1.577±0.739 km, 1.597±0.701 km and 1.629±0.751 km, respectively. It may partly benefit from the improvement of air quality. As to converting the column optical depth to surface pollution, the calculated PM2.5 using MLHL data from lidar shows better accuracy than that from radiosonde compared with observational PM2.5. Additionally, the accuracy of calculated PM2.5 using MLHL shows a diurnal cycle in the daytime, with the peak at 14:00 LST. The study provides a significant dataset of MLHL based on measurements and could be an effective reference for atmospheric models of surface air pollution calculation and analysis.

show abstract

Section: Mlh From Radiosondementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determination and climatology of the diurnal cycle of the atmospheric mixing layer height over Beijing 2013–2018: lidar measurements and implications for air pollution

Wang

Yang

et al. 2020

Atmos. Chem. Phys.

View full text Add to dashboard Cite

show abstract

“…The height of the planetary boundary layer (PBL), indicating the range of pollutants diffused by thermal turbulence in the vertical direction (Kim et al, 2007;Lena and Desiato, 1999), can be calculated by wind and temperature profiles (Seibert et al, 2000;Han et al, 2009). Based on the temperature profile observed at the tower, the vertical gradient of temperature was calculated as…”

Section: The Height Of Nocturnal Planetary Boundary and Vertical Variation Of Turbulent Intensitymentioning

confidence: 99%

Evaluation of regional background particulate matter concentration based on vertical distribution characteristics

Si¹,

Zhang²,

Wu³

et al. 2015

Preprint

View full text Add to dashboard Cite

Abstract. Heavy regional particulate matter (PM) pollution in China has resulted in an important and urgent need for joint control actions among cities. It's advisable to improve the understanding of regional background concentration of PM for the development of efficient and effective joint control policies. With the increase of vertical height the influence of source emission on local air quality is weakening, but the characteristics of regional pollution gradually become obvious. A method to estimate regional background PM concentration is proposed in this paper, based on the vertical variation periodic characteristics of the atmospheric boundary layer structure and particle mass concentration, as well as the vertical distribution of particle size, chemical composition and pollution source apportionment. According to the method, the averaged regional background PM2.5 concentration, being extracted from the original time series in Tianjin, was 40.0 ± 20.2, 63.6 ± 16.9 and 53.2 ± 11.1 μg m−3, respectively, in July, August and September.

show abstract

“…Various techniques are employed in the processing of the lidar signals in order to determine the mixing layer height, such as finding the maximum of the signal returned from the lowest temperature inversion, or the crossing point of the signal's first derivative with the x axis; statistical methods have also been applied. 1 A good review of the remote sounding techniques for determining the mixing layer height is made in Siebert et al 2 The polarization characteristics of the lidar signal have been studied ever since the advent of remote lidar sounding; at first, dense atmospheric objects were investigated, such as clouds and smoke plumes; 3,4 in the former case, the phase composition of the cloud was determined, while in the latter, the shape of the particles and their propagation and change with time were monitored. 5,6 With dense atmospheric objects (e.g., clouds), one must also take the multiple scattering into account; these studies are one of the modern fields of remote sounding, with both theoretical and experimental works being carried out.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the aerosol structure over an urban area using a polarization lidar

Kolev

Tatarov

Kaprielov

et al. 2004

J. Environ. Monitor.

View full text Add to dashboard Cite

The paper presents a lidar study of the aerosol structure in the planetary boundary layer in the case of radiation fog and haze. A conceptual model of the dynamics of the depolarization coefficient profile during the mixing layer development, taking into account the presence of a multilayered inversions and radiation fogs, is proposed. Various techniques are employed in the processing of the lidar signal in order to determine the mixing layer height as well as more details of the aerosol structure in the low atmosphere, namely, finding the maximum of the signal returned from the lowest temperature inversion, the crossing point of the S function's first derivative with the x axis, and profiles of the depolarization ratio. After the complete destruction of the stable stratification, a low constant value of the depolarization ratio within the newly formed mixing layer is being observed. The study of stable boundary layer disintegration and convective boundary layer formation in the presence of fogs and/or clouds is of both scientific and practical significance in what concerns the protection of the environment and the aviation meteorology.

show abstract

Chapter 20 Review and intercomparison of operational methods for the determination of the mixing height

Cited by 8 publications

References 109 publications

Determination and climatology of the diurnal cycle of the atmospheric mixing layer height over Beijing 2013–2018: lidar measurements and implications for air pollution

Determination and climatology of the diurnal cycle of the atmospheric mixing layer height over Beijing 2013–2018: lidar measurements and implications for air pollution

Evaluation of regional background particulate matter concentration based on vertical distribution characteristics

Investigation of the aerosol structure over an urban area using a polarization lidar

Contact Info

Product

Resources

About