Study on Daytime Atmospheric Mixing Layer Height Based on 2-Year Coherent Doppler Wind Lidar Observations at the Southern Edge of the Taklimakan Desert DOI Creative Commons
Lian Su, Haiyun Xia, Jinlong Yuan

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(16), P. 3005 - 3005

Published: Aug. 16, 2024

The long-term atmospheric mixing layer height (MLH) information plays an important role in air quality and weather forecasting. However, it is not sufficient to study the characteristics of MLH using high spatial temporal resolution data desert. In this paper, over southern edge Taklimakan Desert, diurnal, monthly, seasonal variations daytime (retrieved by coherent Doppler wind lidar) surface meteorological elements (provided local station) a two-year period (from July 2021 2023) were statistically analyzed, relationship between two kinds was summarized. It found that diurnal average exhibits unimodal distribution, decrease rate afternoon much higher than increase before noon. From monthly perspective, most frequent deep (>4 km) formed June, highest spring summer. Finally, terms their mutual relationship, observed east-pathway has greater impact on formation west-pathway wind; dust with visibility 1–10 km contributes significantly layer; temperature relative humidity also exhibit clear trend concentrated distribution at about 3 km. statistical analysis deepens understanding pollution area, which great significance for treatment pollution.

Language: Английский

Study on Daytime Atmospheric Mixing Layer Height Based on 2-Year Coherent Doppler Wind Lidar Observations at the Southern Edge of the Taklimakan Desert DOI Creative Commons
Lian Su, Haiyun Xia, Jinlong Yuan

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(16), P. 3005 - 3005

Published: Aug. 16, 2024

The long-term atmospheric mixing layer height (MLH) information plays an important role in air quality and weather forecasting. However, it is not sufficient to study the characteristics of MLH using high spatial temporal resolution data desert. In this paper, over southern edge Taklimakan Desert, diurnal, monthly, seasonal variations daytime (retrieved by coherent Doppler wind lidar) surface meteorological elements (provided local station) a two-year period (from July 2021 2023) were statistically analyzed, relationship between two kinds was summarized. It found that diurnal average exhibits unimodal distribution, decrease rate afternoon much higher than increase before noon. From monthly perspective, most frequent deep (>4 km) formed June, highest spring summer. Finally, terms their mutual relationship, observed east-pathway has greater impact on formation west-pathway wind; dust with visibility 1–10 km contributes significantly layer; temperature relative humidity also exhibit clear trend concentrated distribution at about 3 km. statistical analysis deepens understanding pollution area, which great significance for treatment pollution.

Language: Английский

Citations

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