On two different objective procedures for classifying synoptic weather types over east Australia

International Journal of Climatology

Volumn 32, Issue 10, 2012, Pages 1475-1494

  Jiang, Ningbo ^a   Cheung, Kevin ^a   Luo, Kehui ^a   Beggs, Paul J ^a   Zhou, Wen ^b  

^a MACQUARIE UNIVERSITY   (Australia)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Decadal variability; East Australia; Interannual variability; K means; Self organising map (SOM); Southern Oscillation Index; Synoptic climatology; T mode PCA

Indexed keywords

ATMOSPHERIC PRESSURE; CLASSIFICATION (OF INFORMATION); CLIMATOLOGY; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; SELF ORGANIZING MAPS;

AUSTRALIA; DECADAL VARIABILITY; INTERANNUAL VARIABILITY; K-MEANS; SOUTHERN OSCILLATION INDEX; SYNOPTIC CLIMATOLOGY; T-MODE PCA;

PRINCIPAL COMPONENT ANALYSIS;

ANNUAL VARIATION; ANTICYCLONE; DATA SET; DECADAL VARIATION; PRINCIPAL COMPONENT ANALYSIS; SEASONAL VARIATION; SOUTHERN OSCILLATION; SYNOPTIC METEOROLOGY;

AUSTRALIA; NEW SOUTH WALES;

EID: 84864134968     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.2373     Document Type: Article

References (84)

1. Allan RJ, Lindesay JA, Parker DE. 1996. El Niño Southern Oscillation and Climatic Variability. CSIRO Publications: Melbourne.
2. Attik M, Bougrain L, Alexandre F. 2005. Self-organizing map initialisation. In ICANN 2005, LNCS 3696, Springer-Verlag: Berlin; pp. 357-362.
3. Balakrishnan PV, Cooper MC, Jacob VS, Lewis PA. 1994. A study of the classification capabilities of neural networks using unsupervised learning: a comparison with k-means clustering. Psychometrika 59: 509-525.
4. Burrows WR. 1997. CART regression models for predicting UV radiation at the ground in the presence of cloud and other environmental factors. Journal of Applied Meteorology 36: 531-544.
5. Cannon AJ, Whitfield PH, Edward RL. 2002. Synoptic map-pattern classification using recursive partitioning and principal component analysis. Monthly Weather Review 130: 1187-1206.
6. Cassano JJ, Uotila P, Lynch A. 2006. Changes in synoptic weather patterns in the polar regions in the twentieth and twenty-first centuries, Part 1: Arctic. International Journal of Climatology 26: 1027-1049.
7. Cattell RB. 1966. The scree test for the number of factors. Multivariate Behavioral Research 1: 245-276.
8. Cavavos T. 1999. Large-scale circulation anomalies conducive to extreme precipitation events and derivation of daily rainfall in northeastern Mexico and southeastern Texas. Journal of Climate 12: 1506-1523.
9. Cavavos T. 2000. Using self-organizing maps to investigate extreme climate events: An application to wintertime precipitation in the Balkans. Journal of Climate 13: 1718-1732.
10. Chambers LE, Griffiths GM. 2008. The changing nature of temperature extremes in Australia and New Zealand. Australian Meteorological Magazine 57: 13-35.
11. Compagnucci RH, Salles MA. 1997. Surface pressure patterns during the year over Southern South America. International Journal of Climatology 17: 635-653.
12. Crimmins MA. 2006. Synoptic climatology of extreme fire-weather conditions across the Southwest United States. International Journal of Climatology 26: 1001-1016.
13. th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology: Long Beach, Califorinia.
14. th Conference on Numerical Weather Prediction, American Meteorological Society: Phoenix, Arizona.
15. De Bodt E, Cottrell M, Verleysen M. 2002. Statistical tools to assess the reliability of self-organising maps. Neural Networks 15: 967-978.
16. El-Kadi AKA, Smithson PA. 1992. Atmospheric classification and synoptic climatology. Progress in Physical Geography 16: 432-455.
17. Esteban P, Jones PD, Martin-Vide J, Mases M. 2005. Atmospheric circulation patterns related to heavy snowfall days in Andorra, Pyrenees. International Journal of Climatology 25: 319-329.
18. Evans JL, Allan RJ. 1992. El Niño/Southern Oscillation modification to the structure of the monsoon and tropical cyclone activity in the Australasian region. International Journal of Climatology 12: 611-623.
19. Everitt BS. 1993. Cluster Analysis. John Wiley & Sons Inc: New York.
20. Folland CK, Renwick JA, Salinger MJ, Mullan AB. 2002. Relative influences of the Interdecadal Pacific Oscillation and ENSO on the South Pacific Convergence Zone. Geophysical Research Letters 29: 1643-1646.
21. Frakes B, Yarnal B. 1997. A procedure for blending manual and correlation-based synoptic classifications. International Journal of Climatology 17: 1381-1396.
22. nd Edition. Morgan Kaufmann Publishers: San Francisco, CA.
23. Hewitson BC, Crane RG. 2002. Self-organizing maps: applications to synoptic climatology. Climate Research 22: 13-26.
24. Hope PK, Drosdowsky W, Nicholls N. 2006. Shifts in the synoptic systems influencing southwest Western Australia. Climate Dynamics 26: 751-764.
25. Huth R. 1996a. An intercomparison of computer-assisted circulation classification methods. International Journal of Climatology 16: 893-922.
26. Huth R. 1996b. Properties of the circulation classification scheme based on the rotated principal component analysis. Meteorology and Atmospheric Physics 59: 217-233.
27. Huth R. 2001. Disaggregating climate trends by classification of circulation patterns. International Journal of Climatology 21: 135-153.
28. Huth R, Beck C, Philipp A, Demuzere M, Ustrnul Z, Cahynova M, Kysely K, Tveito OE. 2008. Classifications of atmospheric circulation patterns: recent advances and applications. Annals of the New York Academy of Sciences 1146: 105-152.
29. nd International Meeting on Statistical Climatology: Lisboa, Portugal.
30. Jiang N. 2000. Quality of the Auckland Airshed. ProQuest Information and Learning (UMI): AAT3112534.
31. Jiang N. 2008. Quality of the Auckland Airshed, a New Zealand Case Study. VDM Verlag Dr. Mueller: Germany.
32. Jiang N. 2010a. A new objective procedure for classifying New Zealand synoptic weather types during 1958-2008. International Journal of Climatology DOI:10.1002/joc.2126.
33. Jiang N. 2010b. Application of two different weather typing procedures, an Australian case study. VDM Verlag Dr. Mueller: USA.
34. Jiang N, Hay JE, Fisher GW. 2004. Classification of New Zealand synoptic weather types and relation to the Southern Oscillation Index. Weather and Climate 23: 3-23.
35. Jiang N, Hay JE, Fisher GW. 2005. Synoptic weather patterns and morning rush hour nitrogen oxides concentrations during Auckland winters. Weather and Climate 25: 43-69.
36. Jones DA, Trewin B. 2006. Climate Conditions Preceding the December 2006 Southeast Australian Bushfires, Special Climate Statement No. 10. Australian National Climate Centre: 9.
37. Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Leetmaa A, Reynolds R, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo KC, Ropelewski C, Wang J, Jenne R, Joseph D. 1996. The NCEP/NCAR 40-year reanalysis project. Bulletin of the American Meteorological Society 77: 437-470.
38. Karelsky S. 1961. Monthly and seasonal anticyclonicity and cyclonicity in the Australian region-15 years (1946-1960) average. Meteorological Study 13:AGPS, Canberra.
39. Kaski S. 1997. Data exploration using self-organizing maps. PhD thesis, p. 57, Finnish Academy of Technology. Acta Polytechnica Scandinavica, Mathematics, Computing and Management in Engineering Series No. 82: Espoo.
40. th conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Cambridge, UK, July 2-5: 96-100.
41. Key J, Crane RG. 1986. A comparison of synoptic classification schemes based on 'objective' procedures. Journal of Climatology 6: 375-388.
42. Kidson JW. 2000. An analysis of New Zealand synoptic types and their use in defining weather regimes. International Journal of Climatology 20: 299-316.
43. Kirchhofer W. 1973. Classification of European 500 mb patterns. Arbeitsbericht der Schweizerischen Meteorologischen Zentralanstalt 43: 1-16.
44. Kohonen T. 2001. Self-Organizing Maps. Springer-Verlag: Berlin.
45. Kohonen T, Hynninen J, Kangas J, Laaksonen J. 1996. SOM_PAK: The self-organizing map program package. Report A31. Helsinki University of Technology, Laboratory of Computer and Information Science: Espoo, Finland.
46. Kostopoulou E, Jones PD. 2007. Comprehensive analysis of the climate variability in the eastern Mediterranean, Part II: relationships between atmospheric circulation patterns and surface climatic elements. International Journal of Climatology 27: 1351-1371.
47. Kuleshov Y, Qi L, Fawcett R, Jones D. 2008. On tropical cyclone activity in the Southern Hemisphere: Trends and the ENSO connection. Geophysical Research Letters 35: L14S08, DOI:10.1029/2007 GL032983.
48. Lamb HH. 1950. Types and spells of weather around the year in the British Isles: annual trends, seasonal structure of the year singularities. Quarterly Journal of the Royal Meteorological Society 76: 393-429.
49. Leighton RM, Deslandes R. 1991. Monthly anticyclonicity and cyclonicity in the Australasian region: averages for January, April, July and October. Australian Meteorological Magazine 39: 149-154.
50. Leighton RM, Spark E. 1997. Relationship between synoptic climatology and pollution events in Sydney. International Journal of Biometeorology 41: 76-89.
51. Lund IA. 1963. Map-pattern classification by statistical methods. Journal of Applied Meteorology 2: 56-65.
52. Mantua NJ, Hare SR, Zhang Y, Wallace JM, Francis RC. 1997. A Pacific inter-decadal climate oscillation with impacts on salmon production. Bulletin of the American Meteorological Society 78: 1069-1079.
53. Michaelides SC, Pattichis CS, Kleovoulou G. 2001. Classification of rainfall variability by using artificial neural networks. International Journal of Climatology 21: 1401-1414.
54. Murphy BF, Timbal B. 2008. A review of recent climate variability and climate change in southeastern Australia. International Journal of Climatology 28: 859-879.
55. Murtagh F. 1995. Interpreting the Kohonen self-organizing feature map using contiguity-constrained clustering. Pattern Recognition Letters 16: 399-408.
56. Nicholls N. 1991. Historical ENSO variability in the Australasian region. In: El Nino Historical and Paleoclimatic aspects of the Southern Oscillation Diaz HF, Markgraf V (eds), Cambridge University Press: 151-173.
57. Nicholls N, Uotila P, Alexander L. 2009. Synoptic influences on seasonal, interannual and decadal temperature variations in Melbourne, Australia. International Journal of Climatology. DOI:10.1002/joc.1965.
58. North GR, Bell TL, Cahalan RF. 1982. Sampling errors in the estimation of empirical orthogonal functions. Monthly Weather Review 110: 699-706.
59. Overland JE, Hiester TR. 1980. Development of a synoptic climatology for the northeast gulf of Alaska. Journal of Applied Meteorology 19: 1-14.
60. Pearce JL, Beringer J, Nicholls N, Hyndman RJ, Uotila P, Tapper NJ. 2010. Investigating the influence of synoptic-scale meteorology on air quality using self-organising maps and generalised additive modelling. Atmospheric Environment. DOI:10.1016/J.atmosenv.2010.09.032.
61. Preston BL, Suppiah R, Macadam I, Bathols J. 2006. Climate Change in the Asia/Pacific Region. CSIRO publication: Australia.
62. Ramsay HA, Leslie LM, Lamb PJ, Richman MB, Leplastrier M. 2008. Interannual variability of tropical cyclones in the Australian region: role of large-scale environment. Journal of Climate 21: 1083-1103.
63. Richman MB. 1986. Rotation of principal components. Journal of Climatology 6: 293-335.
64. Ripley BD. 1996. Pattern Recognition and Neural Networks. Cambridge University Press: London.
65. Ropelewski CF, Halpert MS. 1987. Global and regional precipitation patterns associated with the El Niño/Southern Oscillation (ENSO). Monthly Weather Review 115: 1606-1626.
66. Rousset P, Guinot C, Maillet B. 2006. Understanding and reducing variability of SOM neighbourhood structure. Neural Networks 19: 838-846.
67. Salinger MJ, Mullan AB. 1999. New Zealand climate: temperature and precipitation variations and their links with atmospheric circulation 1930-1994. International Journal of Climatology 19: 1049-1071.
68. Schnur R, Lettenmaier DP. 1998. A case study of statistical downscaling in Australia using weather classification by recursive partitioning. Journal of Hydrology 212: 362-379.
69. Sheridan SC, Lee CC. 2010. Synoptic climatology and the general circulation model. Progress in Physical Geography 34: 101-109.
70. Sturman AP, Tapper NJ. 2008. The Weather and Climate of Australia and New Zealand. Oxford University Press: USA.
71. Sugimoto N, Tachibana K. 2008. A first attempt to apply high speed spherical self-organizing map to huge climate datasets. Scientific Online Letters on the Atmosphere 4: 041-044.
72. th International Conference on Southern Hemisphere Meteorology and Oceanography. American Meteorological Society: Hobart, Australia.
73. Veenman CJ, Reinders MJT, Backer E. 2002. A maximum variance cluster algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence 24: 1273-1280.
74. Verdon DC, Kiem AS. 2009. On the relationship between large-scale climate modes and regional synoptic patterns that drive Victorian rainfall. Hydrology and Earth System Sciences 13: 467-479.
75. Vesanto J, Himberg J, Alhoniemi E, Parhankangas J. 2000. SOM Toolbox for Matlab 5. ISBN-9512249510. Helsinki University of Technology: Finland.
76. th Edition. Thomson Brooks/Cole: USA.
77. Wang B, Yang J, Zhou T, Wang B. 2008. Interdecadal changes in the major modes of Asian-Australian Monsoon variability: Strengthening relationship with ENSO since the late 1970s. Journal of Climate 21: 1771-1789.
78. Wilson LL, Lettenmaier DP, Skyllingstad E. 1992. A hierarchical stochastic model of large-scale atmospheric circulation patterns and multiple station daily precipitation. Journal of Geophysical Research 97: 2791-2809.
79. Yarnal B. 1993. Synoptic climatology in environmental analysis: a primer. Bell Haven Press: London.
80. Yarnal B, Comrie AC, Frakes B, Brown DP. 2001. Developments and prospects in synoptic climatology. International Journal of Climatology 21: 1923-1950.
81. Yuan Y, Zhou W, Yang H, Li C. 2008. Warming in the Northwestern Indian Ocean Associated with the El Niño Event. Advances in Atmospheric Sciences 25: 246-252.
82. Zhou W, Chan JCL. 2007. ENSO and South China Sea summer monsoon onset. International Journal of Climatology 27: 157-167.
83. Zhou W, Li CY, Chan JCL. 2006. The interdecadal variations of the summer monsoon rainfall over South China. Meteorology and Atmospheric Physics. DOI:10.1007/S00703-006-018-9.
84. Zhou W, Li CY, Wang X. 2007. Possible connection between Pacific oceanic interdecadal pathway and East Asian winter monsoon. Geophysical Research Letters 34: L01701, DOI:10.1029/2006GL 027809.