2023
DOI: 10.1002/joc.8023
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Influences of atmospheric intraseasonal oscillation in mid–high latitudes on winter haze pollution over the Beijing‐Tianjin‐Hebei region

Abstract: This paper analyses the intraseasonal evolution of the winter haze pollution over the Beijing‐Tianjin‐Hebei (BTH) region in China between 1979 and 2013, and the influences of the atmospheric intraseasonal oscillations (ISOs) in mid–high latitudes. Two significant ISO signals of 10–20‐day and 20–40‐day are identified from the winter haze pollution over the BTH region, and their superposition notably contributes to the occurrence of haze pollution. On the 10–20‐day timescale, the haze pollution is intimately ass… Show more

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Cited by 4 publications
(4 citation statements)
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“…In the mid-high latitude regions, there are obvious quasi-biweekly wave trains at both 850 hPa and 300 hPa. The recent research results [29][30][31][32] also indicate a close relationship between the PM 2.5 concentration and the Rossby wave train at mid-high latitudes.…”
Section: Discussionmentioning
confidence: 71%
See 2 more Smart Citations
“…In the mid-high latitude regions, there are obvious quasi-biweekly wave trains at both 850 hPa and 300 hPa. The recent research results [29][30][31][32] also indicate a close relationship between the PM 2.5 concentration and the Rossby wave train at mid-high latitudes.…”
Section: Discussionmentioning
confidence: 71%
“…In the study of Wu et al [32], it was found that the QBWO of haze events in the Beijing-Tianjin-Hebei region in the winter of 1979-2013 in China was mainly influenced by the Rossby wave spreading eastward along the Eurasian continent from the North Atlantic Ocean. The peak phase of haze pollution was related to the zonal dipole, that is, the abnormal cyclone in the northwest of Lake Baikal and the abnormal anti-cyclone in the northeast of China and Japan.…”
Section: Discussionmentioning
confidence: 99%
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“…D. Wu et al. (2023) confirmed that the correlation between the multi‐year time series of PM 2.5 concentration and the number of daily haze stations is 0.74 ( p < 0.01). The data sets were based on four times per day; that is, 06:00, 06:00, 12:00, and 18:00 local time.…”
Section: Data Sets Methodology and Agcm Experimentsmentioning
confidence: 90%