2022
DOI: 10.1002/qj.4254
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Observation system simulation experiments (OSSEs) for assimilation of the planetary boundary‐layer height (PBLH) using the EnSRF technique

Abstract: The planetary boundary-layer height (PBLH) is a key parameter that is very important in numerical weather and air quality predictions. The current LiDAR networks make it possible to provide potential PBLH observations, and assimilating the parameter will be helpful to improve the forecast of variables within the planetary boundary layer (PBL). This study first carried out idealized experiments on PBLH assimilation through observation system simulation experiments (OSSEs). The ensemble square root filter (EnSRF… Show more

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Cited by 4 publications
(1 citation statement)
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“…It determines the vertical degree of turbulent mixing, convective transport, and pollutant diffusion in the PBL and strongly influences the development and evolution of convective activity [3][4][5]. The PBLH is one of the most important parameters in weather forecasting, climate and air quality forecasting models [6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…It determines the vertical degree of turbulent mixing, convective transport, and pollutant diffusion in the PBL and strongly influences the development and evolution of convective activity [3][4][5]. The PBLH is one of the most important parameters in weather forecasting, climate and air quality forecasting models [6][7][8].…”
Section: Introductionmentioning
confidence: 99%