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DOI | 10.5194/acp-19-12477-2019 |
Multivariate statistical air mass classification for the high-alpine observatory at the Zugspitze Mountain, Germany | |
Sigmund, Armin1,8; Freier, Korbinian2,3; Rehm, Till4; Ries, Ludwig5; Schunk, Christian6,9; Menzel, Anette6,7; Thomas, Christoph K.1 | |
2019-10-08 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2019 |
卷号 | 19期号:19页码:12477-12494 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany; Switzerland |
英文摘要 | To assist atmospheric monitoring at high-alpine sites, a statistical approach for distinguishing between the dominant air masses was developed. This approach was based on a principal component analysis using five gas-phase and two meteorological variables. The analysis focused on the Schneefernerhaus site at Zugspitze Mountain, Germany. The investigated year was divided into 2-month periods, for which the analysis was repeated. Using the 33.3 % and 66.6 % percentiles of the first two principal components, nine air mass regimes were defined. These regimes were interpreted with respect to vertical transport and assigned to the BL (recent contact with the boundary layer), UFT/SIN (undisturbed free troposphere or stratospheric intrusion), and HYBRID (influences of both the boundary layer and the free troposphere or ambiguous) air mass classes. The input data were available for 78 % of the investigated year. BL accounted for 31 % of the cases with similar frequencies in all seasons. UFT/SIN comprised 14 % of the cases but was not found from April to July. HYBRID (55 %) mostly exhibited intermediate characteristics, whereby 17 % of the HYBRID class suggested an influence from the marine boundary layer or the lower free troposphere. The statistical approach was compared to a mechanistic approach using the ceilometer-based mixing layer height from a nearby valley site and a detection scheme for thermally induced mountain winds. Due to data gaps, only 25 % of the cases could be classified using the mechanistic approach. Both approaches agreed well, except in the rare cases of thermally induced uplift. The statistical approach is a promising step towards a real-time classification of air masses. Future work is necessary to assess the uncertainty arising from the standardization of real-time data. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000489597200001 |
WOS关键词 | BOUNDARY-LAYER ; FREE TROPOSPHERE ; ATMOSPHERIC CO2 ; TRENDS ; OZONE ; JUNGFRAUJOCH ; TRANSPORT ; IMPACT ; SIGNAL |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/187594 |
专题 | 地球科学 |
作者单位 | 1.Univ Bayreuth, Micrometeorol Grp, Bayreuth, Germany; 2.Bavarian Environm Agcy, Augsburg, Germany; 3.Univ Hamburg, Ctr Earth Syst Res & Sustainabil CEN, Res Unit Sustainabil & Global Change, Hamburg, Germany; 4.Environm Res Stn Schneefernerhaus, Zugspitze, Germany; 5.GAW Global Observ, German Environm Agcy, Zugspitze Hohenpeissenbe, Germany; 6.Tech Univ Munich, Ecoclimatol, Freising Weihenstephan, Germany; 7.Tech Univ Munich, Inst Adv Study, Garching, Germany; 8.Swiss Fed Inst Technol, Sch Architecture Civil & Environm Engn, Lausanne, Switzerland; 9.Tech Univ Munich, Safety & Radiat Protect, Garching, Germany |
推荐引用方式 GB/T 7714 | Sigmund, Armin,Freier, Korbinian,Rehm, Till,et al. Multivariate statistical air mass classification for the high-alpine observatory at the Zugspitze Mountain, Germany[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2019,19(19):12477-12494. |
APA | Sigmund, Armin.,Freier, Korbinian.,Rehm, Till.,Ries, Ludwig.,Schunk, Christian.,...&Thomas, Christoph K..(2019).Multivariate statistical air mass classification for the high-alpine observatory at the Zugspitze Mountain, Germany.ATMOSPHERIC CHEMISTRY AND PHYSICS,19(19),12477-12494. |
MLA | Sigmund, Armin,et al."Multivariate statistical air mass classification for the high-alpine observatory at the Zugspitze Mountain, Germany".ATMOSPHERIC CHEMISTRY AND PHYSICS 19.19(2019):12477-12494. |
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