Relating changes in synoptic circulation to the surface rainfall response using self-organising maps

被引:0
|
作者
Christopher Lennard
Gabriele Hegerl
机构
[1] University of Cape Town,Climate System Analysis Group, Environmental and Geographical Science Department, South Lane
[2] University of Edinburgh,School of Geosciences
来源
Climate Dynamics | 2015年 / 44卷
关键词
Self-organising maps; Circulation archetypes; Rainfall response; Extreme rainfall; Downscaling;
D O I
暂无
中图分类号
学科分类号
摘要
The climate of a particular region is governed by factors that may be remote, such as the El Nino Southern Oscillation or local, such as topography. However, the daily weather characteristics of a region are controlled by the synoptic-scale atmospheric state. Therefore changes in the type, frequency, duration or intensity of particular synoptic states over a region would result in changes to the local weather and long-term climatology of the region. The relationship between synoptic-scale circulation and the rainfall response is examined for a 31-year period at two stations in different rainfall regimes in South Africa. Dominant rain-bearing synoptic circulations are identified for austral winter and summer as mid-latitude cyclones and convective systems respectively whereas no circulations are dominantly associated with spring and autumn rainfall. Over the 31-year period a statistically significant increase in the frequency of characteristic summer circulation modes is observed during summer, winter and spring. During autumn a statistically significant shift towards characteristically winter circulation modes is evident. Seasonal rainfall trends computed at each station corroborate those of the circulation data. Extreme rainfall is associated with particular circulation modes and trends in both circulation and station data show an earlier occurrence of extreme rainfall during the rainy season.
引用
收藏
页码:861 / 879
页数:18
相关论文
共 50 条
  • [41] Progressive concept formation in Self-organising Maps
    Corchado, E
    Fyfe, C
    COMPUTATIONAL METHODS IN NEURAL MODELING, PT 1, 2003, 2686 : 326 - 333
  • [42] Photometric redshift calibration with self-organising maps
    Wright, Angus H.
    Hildebrandt, Hendrik
    van den Busch, Jan Luca
    Heymans, Catherine
    ASTRONOMY & ASTROPHYSICS, 2020, 637
  • [43] SOMMER:: self-organising maps for education and research
    Schmuker, Michael
    Schwarte, Florian
    Brueck, Andre
    Proschak, Ewgenij
    Tanrikulu, Yusuf
    Givehchi, Alireza
    Scheiffele, Kai
    Schneider, Gisbert
    JOURNAL OF MOLECULAR MODELING, 2007, 13 (01) : 225 - 228
  • [44] On multidimensional scaling and the embedding of self-organising maps
    Yin, Hujun
    NEURAL NETWORKS, 2008, 21 (2-3) : 160 - 169
  • [45] Visual feature analysis by the self-organising maps
    Kohonen, T
    Oja, E
    NEURAL COMPUTING & APPLICATIONS, 1998, 7 (03): : 273 - 286
  • [46] Visual feature analysis by the self-organising maps
    T. Kohonen
    E. Oja
    Neural Computing & Applications, 1998, 7 : 273 - 286
  • [47] Introduction: new developments in self-organising maps
    Allinson, N
    Yin, HJ
    Obermayer, K
    NEURAL NETWORKS, 2002, 15 (8-9) : 943 - 943
  • [48] Use of self-organising maps for visualisation of morphological changes in the arterial pulse waveform
    Walsh, A
    Comacho, F
    Avolio, A
    JOURNAL OF HYPERTENSION, 2005, 23 : S270 - S270
  • [49] Inversion of Many-to-one Mappings Using Self-Organising Maps
    Mus, Anne O.
    NEURAL INFORMATION PROCESSING: MODELS AND APPLICATIONS, PT II, 2010, 6444 : 447 - 453
  • [50] Pattern classification using multiple hierarchical overlapped self-organising maps
    Suganthan, PN
    PATTERN RECOGNITION, 2001, 34 (11) : 2173 - 2179