4.7 Article

Diurnal variation in the near-global planetary boundary layer height from satellite-based CATS lidar: Retrieval, evaluation, and influencing factors

期刊

REMOTE SENSING OF ENVIRONMENT
卷 299, 期 -, 页码 -

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2023.113847

关键词

PBLH; Diurnal variation; CATS; Reanalysis; Contribution

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Diurnal variations in planetary boundary layer height (PBLH) play a crucial role in the diffusion of pollutants and the heat and moisture exchange in the lower atmosphere. This study used CATS lidar data to retrieve the PBLH on a near-global scale and compared the retrievals with other datasets. The results showed significant consistency between CATS retrievals and radiosonde and CALIPSO retrievals, as well as correlations with reanalysis outputs. Lower tropospheric stability and humidity factors were found to be the main meteorological factors influencing the interannual variability in the CATS PBLH.
Diurnal variations in planetary boundary layer height (PBLH) are essential for regulating the diffusion of pollutants and controlling heat and moisture exchange in the lower atmosphere. However, owing to the lack of continuous large-scale observations, the global behavior of diurnal variation in the PBLH remains poorly understood. This study seeks to bridge this knowledge gap by examining 33 months of profiles from Cloud Aerosol Transport System (CATS) lidar to retrieve the PBLH on a near-global scale. The retrievals were compared with other datasets, including radiosonde, CALIPSO, reanalysis, and CMIP6. The results suggest that the CATS retrievals were significantly consistent with the radiosonde and CALIPSO retrievals, with correlations of 0.6 (clearsky) and 0.74, respectively. Spatially, the CATS PBLH exhibits correlations of 0.11-0.72 with several CMIP6 and reanalysis outputs. For diurnal variations, the CATS PBLH showed a higher correlation (reaching 0.7) with reanalysis outputs during midday and early afternoon. However, there were considerable differences between them in the morning and late afternoon, owing to the influences of the residual layer and algorithm differences. Notably, deserts, plateaus and tropical areas exhibited more discrepancies between the CATS and reanalysis PBLH, which may be attributed to multilayer aerosol structures, heterogeneous surfaces, and deep convection. Based on the CATS derived PBLH dataset, we further investigated the meteorological impacts on interannual variability in the near-global PBLH using multiple stepwise regression and contribution calculations. The results indicate that meteorological factors explain 39-58% of the interannual variability in the CATS PBLH, and their contributions are land cover dependent and exhibit diurnal variations. Lower tropospheric stability dominated the interannual variability over land, with a diurnal pattern of its contribution aligned with the PBLH itself, whereas humidity factors contributed the most over oceans and wetlands. These findings have important implications for understanding the diurnal and temporal variability in the near-global PBLH, as well as the PBL parameterization.

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