ISSN 1006-9895

CN 11-1768/O4

Influence of Different Boundary Layer Parameterization Schemes on the Simulation of an Advection Fog Process in Jiangsu
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    Abstract:

    The simulation and prediction accuracy of advection fog depends on the selection of boundary layer parameterization scheme. Coupled with different schemes of boundary layer parameterization, the Weather Research and Forecasting (WRF) model was used in this paper to simulate an advection fog process occurred in Jiangsu during the period from March 18th to 19th in 2013 and the simulation results are compared with observed meteorological data to analyze and evaluate the simulation of the advection fog. The results of the experiments are as follows. (1) The surface air temperature is underestimated but the relative humidity and wind speed are overestimated. (2) Among the schemes of Quasi-Scale Elimination (QNSE), Asymmetrical Convective Model version 2 (ACM2) and Youngstown State University Scheme (YSU), the QNSE scheme has the best ability to simulate air temperature, the ACM2 scheme has the best performance for the simulation of relative humidity and the YSU scheme performs best in the the simulation of wind speed. The main difference between the three boundary layer parameterization schemes for the simulation of meteorological elements in the vertical direction is the difference in the simulated relative humidity at low levels and the QNSE scheme was the most humid. (3) According to the Scoring Standards TS (Threat Score) and BS (Bias Score), the simulation effect of the ACM2 scheme is the best one among the three schemes. The simulation results of the three boundary layer parameterization schemes for this advection fog process are better at the coastal sites of Jiangsu, and the prediction scores at the sites far away from the sea are worse. The YSU scheme has higher score on the fog area forecast in the southeastern coastal area, the QNSE scheme has higher score on the fog area forecast in the Yangtze River Valley and the ACM2 scheme has good simulation effect on the fog area forecast in the coastal areas, especially in the northern coastal areas. (4) The QNSE scheme is more accurate in the prediction of the formation time and occurrence location of the advection fog. (5) The simulated fog coverage in the formation and development stages of the advection fog is closely related to the height of the boundary layer, and the turbulent mixing with an appropriate intensity would contribute to the formation and development of advection fog on the ground, but too strong turbulence mixing would lead to premature fog dissipation.

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History
  • Received:August 11,2017
  • Revised:
  • Adopted:
  • Online: November 21,2018
  • Published: