An analysis of fog and low stratus life-cycle regimes over central Europe

被引:3
作者
Pauli, Eva [1 ,2 ]
Cermak, Jan [1 ,2 ]
Andersen, Hendrik [1 ,2 ]
Fuchs, Julia [1 ,2 ]
机构
[1] Karlsruhe Inst Technol KIT, Inst Meteorol & Climate Res, Karlsruhe, Germany
[2] Karlsruhe Inst Technol KIT, Inst Photogrammetry & Remote Sensing, Karlsruhe, Germany
关键词
cloud regimes; Europe; fog; fog dissipation; fog formation; hierarchical clustering; life cycle; low stratus; RADIATION FOG; WEATHER; WATER; CLIMATOLOGY; DISSIPATION; COLLECTION; SIMULATION; REGION; FOREST; STATES;
D O I
10.1002/qj.4714
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A better understanding of fog and low stratus (FLS) life cycles, in particular the typical onset and dissipation times, can help traffic safety and solar power planning. Besides its high dependence on the prevalent meteorological conditions, the FLS life cycle is further determined by the FLS type as well as the underlying geography and climate. While satellite-based FLS data sets with high temporal and spatial resolution are available, an objective, large-scale, satellite-based classification of FLS life-cycle regions, which would allow for more targeted analyses of the FLS life cycle, is lacking. In this study, a hierarchical clustering algorithm is applied to identify regions of similar relationships of the FLS life cycle to environmental conditions over central Europe. The clustering reveals major FLS life-cycle regimes with distinct differences in FLS occurrence, temporal FLS life-cycle patterns, and climatic characteristics. Based on regime-specific sensitivity analyses, the relationships of the FLS life cycle with near-ground temperature and specific humidity are identified as the most relevant input relationships for the clustering algorithm, especially in the Mediterranean region. FLS life-cycle regimes are further presented at a regional scale, outlining the applicability of the derived FLS life-cycle regimes to future regional process-oriented FLS life-cycle studies. In this study, a hierarchical clustering algorithm is used to identify regions of similar relationships of the FLS life cycle to environmental conditions over central Europe. The clustering reveals major FLS regimes with distinct differences in FLS occurrence, temporal FLS life-cycle patterns, and climatic characteristics. Near-ground temperature and specific humidity are identified as the most relevant input relationships for the clustering algorithm. The identified FLS regimes can be used further for regional process-oriented FLS life-cycle studies. image
引用
收藏
页码:2382 / 2396
页数:15
相关论文
共 71 条
  • [61] Forecasting radiation fog at climatologically contrasting sites: evaluation of statistical methods and WRF
    Roman-Cascon, C.
    Steeneveld, G. J.
    Yaguee, C.
    Sastre, M.
    Arrillaga, J. A.
    Maqueda, G.
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2016, 142 (695) : 1048 - 1063
  • [62] Spatio-temporal variations of cloud fraction based on circulation types in the Iberian Peninsula
    Roye, D.
    Lorenzo, N.
    Rasilla, D.
    Marti, A.
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (03) : 1716 - 1732
  • [63] Fog and low stratus over the Swiss Plateau - a climatological study
    Scherrer, Simon C.
    Appenzeller, Christof
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2014, 34 (03) : 678 - 686
  • [64] Unravelling the relative roles of physical processes in modelling the life cycle of a warm radiation fog
    Steeneveld, Gert-Jan
    de Bode, Michiel
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2018, 144 (714) : 1539 - 1554
  • [65] Bias in random forest variable importance measures: Illustrations, sources and a solution
    Strobl, Carolin
    Boulesteix, Anne-Laure
    Zeileis, Achim
    Hothorn, Torsten
    [J]. BMC BIOINFORMATICS, 2007, 8 (1)
  • [66] Global Weather States and Their Properties from Passive and Active Satellite Cloud Retrievals
    Tselioudis, George
    Rossow, William
    Zhang, Yuanchong
    Konsta, Dimitra
    [J]. JOURNAL OF CLIMATE, 2013, 26 (19) : 7734 - 7746
  • [67] CRAAS: A European Cloud Regime dAtAset Based on the CLAAS-2.1 Climate Data Record
    Tzallas, Vasileios
    Huenerbein, Anja
    Stengel, Martin
    Meirink, Jan Fokke
    Benas, Nikos
    Trentmann, Joerg
    Macke, Andreas
    [J]. REMOTE SENSING, 2022, 14 (21)
  • [68] Valiente JA, 2011, ERDKUNDE, V65, P277, DOI [10.3112/erdkunde.2010.03.05, 10.3112/erdkunde.2011.03.05]
  • [69] Understanding the dissipation of continental fog by analysing the LWP budget using idealized LES and in situ observations
    Waersted, Eivind G.
    Haeffelin, Martial
    Steeneveld, Gert-Jan
    Dupont, Jean-Charles
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2019, 145 (719) : 784 - 804
  • [70] Wilks D.S., 2006, STAT METHODS ATMOSPH, DOI [10.1016/B978-0-12-823043-5.00015-1, DOI 10.1016/B978-0-12-823043-5.00015-1]