Adaptability evaluation of boundary layer schemes for simulation of sea and land breeze circulation in the west coast of the Yellow Sea
Introduction
Sea-land breeze (SLB) circulation is the main characteristics of the wind field in the atmospheric boundary layer in coastal areas. It plays a vital role in regulating temperature, precipitation and pollutant diffusion. The difference between land and sea surface temperature determines the development of SLB. The sea breeze circulation conveys a relatively cold and wet air mass from the sea surface to the land, thus creating a thermal inner boundary layer (TIBL) between the sea and the warm land surface, in order to carry out vertical mixing of air. In the planetary boundary layer, there is a turbulent vertical exchange between the free atmosphere and the underlying surface of the earth, which has a great impact on the development and evolution of the weather system. Today, with the increasing attention to environmental research, the study on the structure and change law of SLB circulation is of great significance, such as the layout of possible pollution sources, the prediction of pollutant emissions and the improvement of air quality in this region.
Observation and numerical simulation are two main methods for studying sea and land winds. As early as the 1950s, there appeared many means by conducting space three-dimensional observation of sea and land winds such as aircraft and ships. At present, remote sensing observation method such as satellite and radar can be used directly observing or retrieving the three-dimensional structure characteristics of wind direction and wind speed change law of sea and land winds. (Fisher, 1960; Simpson et al., 1977; Banta et al., 1993; Azorin-Molina and Chen, 2009). Through a large number of observations and analysis of SLB circulation, researchers calculated and studied various theoretical models based on the quantitative theory of circulation dynamics and in combination with the characteristics of local topography and coastline trend. The development of SLB models has gone through several stages, including linear theoretical model (Haurwitz, 1947), nonlinear equation model (Pearce, 2010), and two-dimensional sea land wind model (Estoque, 1961) with the emergence of computers, and then numerical three-dimensional model simulation of SLB (Pielke, 1974; Kikuchi et al., 2007; Anthes et al., 1982; Arritt, 1993; Xu et al., 1996). At present, high-resolution mesoscale numerical models are mostly used to simulate the SLB cases under typical weather conditions (Mass et al., 2000) and the plume diffusion process in coastal areas (Lin et al., 2001). The relationship between pollutants released from coastal areas and TIBL can be further studied (Liu and Chan, 2002; Stunder and Sethuraman, 1985; Jie et al., 2018; Yang et al., 2022).
In mesoscale numerical simulation, the choice of planetary boundary layer parameterization schemes (PBLS) is closely related to the numerical simulation and prediction accuracy of boundary layer wind field (Dalu and Pielke, 1993; Mazzaro et al., 2017; Ferrero et al., 2018; Yang et al., 2019; Reddy et al., 2020). The Monin-Obukhov function is used in PBLS to parameterize near-layer variables, and different PBLS adopt different M-O function forms. Therefore, the characteristics, assumptions, formulas and applicable conditions of different boundary layer schemes also differ significantly (Stull, 1988; Garratt, 1993). In this study, we use the high-resolution Doppler Wind Lidar (DWL) boundary layer three-dimensional wind data, combined with the model simulation results, in order to find PBLS suitable for simulating the wind field under the similar climate background in this observation area.
The SLB observation area in this study is located in Rizhao, Shandong Province, China. It is in the middle latitude area, adjacent to the Yellow Sea in the East and about 4.3 km away from the West Coast of the Yellow Sea. The South and North are respectively connected with Haizhou Bay and Jiaozhou Bay, and the North-South coastline is relatively straight. The inland is composed of plains and hills. The terrain is high in the middle and low around. The average altitude is close to sea level, and the highest altitude is 706 m.
According to the observation facts over the years, the SLB circulation along the Rizhao coast is very obvious. Previously, Zhuang et al. (2005) used the data of ground observation stations and made statistics on the impact of the seasonal and daily changes of SLB on the temporal and spatial distribution of meteorological elements such as temperature and precipitation. Ma,Y. et al. used DWL continuously observed and studied the SLB cycle structure on the West Bank of the Yellow Sea for the first time, by analyzed the key elements of sea land wind in this area, such as development height, transformation duration, wind speed, wind shear, etc. On this basis, the exploration of simulation tests of SLB circulation for various boundary layer schemes were carried out in this area for the first time.
Section snippets
Observation data and case selection
Observations were conducted at Rizhao city (35.416°E, 119.527°N) in Shandong Province in China. The measurement started at August 31 and ended at September 29, 2018, lasting for one month.
DWL emits electromagnetic waves in the vertical direction to detect particles in the air. The lidar backscattered echo signal directly obtains the radial wind speed (horizontal and vertical directions) and wind shear data in the detection height and area through Doppler transformation (Ma, 2020, Ma, 2022; Zhao
Analysis of simulation results
Taking into account the model spin-up time, each simulation is 6 h in advance. For example, the model runs from 18:00 UTC (02 China Standard Time, CST) on August 30, 2018 to 00:00 UTC (08 CST) on September 1, 2018, for simulation of August 31. A total of 30 days runs were carried out. By calculating the average biases between the simulated results and the observed wind speed and direction of the boundary layer, and considering the variation law with vertical height and time, the PBLS of
Conclusion
The main objective of the study is to explore the optimal-adaptive boundary layer parameterization scheme adopted for the three-dimensional simulation of sea-land breeze over Yellow Sea in WRF model. Ten different boundary layer parameterization schemes were selected and compared with the high resolution wind data observed by a DWL in coastal Rizhao. Results show that:
- (1)
Comparison of TKE between DWL and WRF simulations revealed that GBM, MYNN2 and YSU schemes act more precisely in reproducing the
Declaration of Competing Interest
All authors disclosed no relevant relationships.
Acknowledgement
This study was supported by the National Natural Science Foundation of China (42061130215), the CAS Strategic Priority Research Program (XDA23020301), the Ministry of Science and Technology of China (2016YFC0202001), and the Royal Society (NAF\R1\201354).
References (60)
How do aerosols above the residual layer affect the planetary boundary layer height?
Sci. Total Environ.
(2022)A numerical method of structure-preserving model updating problem and its perturbation theory
Appl. Math. Comput.
(2011)A numerical experiment on pollutant dispersion in a horizontally-homogeneous atmospheric boundary layer
Atmos. Environ.
(1977)- et al.
Further considerations on modeling the sea breeze with a mixed-layer model
Mon. Weather Rev.
(1982) Effects of the large-scale flow on characteristic features of the sea breeze
J. Appl. Meteor.
(1993)- et al.
A climatological study of the influence of synoptic-scale flows on sea breeze evolution in the bay of Alicante (Spain)
Theor. Appl. Climatol.
(2009) - et al.
Evolution of the monterey bay sea-breeze layer as observed by pulsed doppler lidar
J. Atmos. Sci.
(1993) - et al.
Parameterization of orography-induced turbulence in a mesobeta-scale model
Mon. Weather Rev.
(1989) - et al.
A new moist turbulence parameterization in the community atmosphere model
J. Clim.
(2009) - et al.
Vertical heat fluxes generated by mesoscale atmospheric flow induced by thermal inhomogeneities in the PBL
J. Atmos.
(1993)