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Volumn , Issue , 2009, Pages 62-70

On the identification of intra-seasonal changes in the indian summer monsoon

Author keywords

Active and break states; Hidden Markov models; Indian summer monsoon; Variational Bayes

Indexed keywords

EXISTING METHOD; INDIAN SUMMER MONSOON; PROBABILISTIC INTERPRETATION; RAINFALL DATA; REAL TIME; SEASONAL CHANGES; SYNTHETIC DATA; TEMPORAL DEPENDENCE; TRANSITION PERIOD; VARIATIONAL BAYES;

EID: 70450099260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1601966.1601979     Document Type: Conference Paper
Times cited : (5)

References (27)
  • 2
    • 0001862769 scopus 로고
    • An inequality and associated maximization technique in statistical estimation of probalistic functions of Markov processes
    • L. E. Baum. An inequality and associated maximization technique in statistical estimation of probalistic functions of Markov processes. Inequalities, 3:1-8, 1972.
    • (1972) Inequalities , vol.3 , pp. 1-8
    • Baum, L.E.1
  • 3
    • 0034656555 scopus 로고    scopus 로고
    • A hidden Markov model for downscaling synoptic atmospheric patterns to precipitation amounts
    • E. Bellone, J. P. Hughes, and P. Guttorp. A hidden Markov model for downscaling synoptic atmospheric patterns to precipitation amounts. Climate Research, 15(1):1-12, 2000.
    • (2000) Climate Research , vol.15 , Issue.1 , pp. 1-12
    • Bellone, E.1    Hughes, J.P.2    Guttorp, P.3
  • 4
    • 33846516584 scopus 로고    scopus 로고
    • Information Science and Statistics. Springer, New York, USA, first edition, Aug
    • C. M. Bishop. Pattern Recognition and Machine Learning. Information Science and Statistics. Springer, New York, USA, first edition, Aug 2006.
    • (2006) Pattern Recognition and Machine Learning
    • Bishop, C.M.1
  • 8
    • 33845308814 scopus 로고    scopus 로고
    • Increasing trend of extreme rain events over India in a warming environment
    • B. N. Goswami, V. Venugopal, D. Sengupta, M. S. Madhusoodanan, and P. K. Xavier. Increasing trend of extreme rain events over India in a warming environment. Science, 314(5804):1442-1445, 2006.
    • (2006) Science , vol.314 , Issue.5804 , pp. 1442-1445
    • Goswami, B.N.1    Venugopal, V.2    Sengupta, D.3    Madhusoodanan, M.S.4    Xavier, P.K.5
  • 9
    • 48649110696 scopus 로고    scopus 로고
    • Analysis of Indian monsoon daily rainfall on subseasonal to multidecadal time-scales using a hidden Markov model
    • A. M. Greene, A. W. Robertson, and S. Kirshner. Analysis of Indian monsoon daily rainfall on subseasonal to multidecadal time-scales using a hidden Markov model. Quarterly Journal of the Royal Meteorological Society, 134(633):875-887, 2008.
    • (2008) Quarterly Journal of the Royal Meteorological Society , vol.134 , Issue.633 , pp. 875-887
    • Greene, A.M.1    Robertson, A.W.2    Kirshner, S.3
  • 10
    • 0016471388 scopus 로고
    • Markov mixture models for drought lengths
    • B. B. Jackson. Markov mixture models for drought lengths. Water Resources Research, 11(1):64-74, 1975.
    • (1975) Water Resources Research , vol.11 , Issue.1 , pp. 64-74
    • Jackson, B.B.1
  • 11
    • 67649438829 scopus 로고    scopus 로고
    • Large-scale controls on Ganges and Brahmaputra river discharge on intraseasonal and seasonal time-scales
    • J. Jian, P. J. Webster, and C. D. Hoyos. Large-scale controls on Ganges and Brahmaputra river discharge on intraseasonal and seasonal time-scales. Quarterly Journal of the Royal Meteorological Society, 135(639):353-370, 2009.
    • (2009) Quarterly Journal of the Royal Meteorological Society , vol.135 , Issue.639 , pp. 353-370
    • Jian, J.1    Webster, P.J.2    Hoyos, C.D.3
  • 12
    • 18844398069 scopus 로고    scopus 로고
    • Capacity and complexity of HMM duration modeling techniques
    • M. T. Johnson. Capacity and complexity of HMM duration modeling techniques. IEEE Signal Processing Letters, 12(5):407-410, 2005.
    • (2005) IEEE Signal Processing Letters , vol.12 , Issue.5 , pp. 407-410
    • Johnson, M.T.1
  • 13
    • 38349195070 scopus 로고    scopus 로고
    • Seasonal persistence and propagation of intraseasonal patterns over the Indian monsoon region
    • V. Krishnamurthy and J. Shukla. Seasonal persistence and propagation of intraseasonal patterns over the Indian monsoon region. Climate Dynamics, 30(4):353-369, 2008.
    • (2008) Climate Dynamics , vol.30 , Issue.4 , pp. 353-369
    • Krishnamurthy, V.1    Shukla, J.2
  • 15
    • 0022685753 scopus 로고
    • Continuously variable duration hidden Markov models for automatic speech recognition
    • S. E. Levinson. Continuously variable duration hidden Markov models for automatic speech recognition. Computer Speech and Language, 1(1):29-45, 1986.
    • (1986) Computer Speech and Language , vol.1 , Issue.1 , pp. 29-45
    • Levinson, S.E.1
  • 16
    • 70450087814 scopus 로고    scopus 로고
    • Ensemble learning for hidden Markov models
    • Paper.html
    • D. J. C. MacKay. Ensemble learning for hidden Markov models. Unpublished paper, http://www.inference.phy.cam.ac.uk/mackay/abstracts/ ensemblePaper.html, 1997.
    • (1997) Unpublished paper
    • MacKay, D.J.C.1
  • 17
    • 34250314933 scopus 로고    scopus 로고
    • 2 concentrations: assessment from selected coupled atmosphere-ocean global climate models. International Journal of Climatology, 27(7):837-859, 2007.
    • 2 concentrations: assessment from selected coupled atmosphere-ocean global climate models. International Journal of Climatology, 27(7):837-859, 2007.
  • 19
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • L. R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-286, 1989.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 20
    • 33747833684 scopus 로고    scopus 로고
    • High resolution daily gridded rainfall data for the Indian region: Analysis of break and active monsoon spells
    • M. Rajeevan, J. Bhate, J. D. Kale, and B. Lal. High resolution daily gridded rainfall data for the Indian region: analysis of break and active monsoon spells. Current Science, 91(3):296-306, 2006.
    • (2006) Current Science , vol.91 , Issue.3 , pp. 296-306
    • Rajeevan, M.1    Bhate, J.2    Kale, J.D.3    Lal, B.4
  • 21
    • 68249157466 scopus 로고    scopus 로고
    • Active and break spells of the Indian summer monsoon
    • India Meteorological Department, Poona, India
    • M. Rajeevan, S. Gadgil, and J. Bhate. Active and break spells of the Indian summer monsoon. National Climate Center research report, India Meteorological Department, Poona, India, 2008.
    • (2008) National Climate Center research report
    • Rajeevan, M.1    Gadgil, S.2    Bhate, J.3
  • 22
    • 10644257373 scopus 로고    scopus 로고
    • A new criterion for identifying breaks in monsoon conditions over the Indian subcontinent
    • M. R. Ramesh Kumar and U. R. Prabhu Dessai. A new criterion for identifying breaks in monsoon conditions over the Indian subcontinent. Geophysical Research Letters, 31(18):L18201, 2004.
    • (2004) Geophysical Research Letters , vol.31 , Issue.18
    • Ramesh Kumar, M.R.1    Prabhu Dessai, U.R.2
  • 26
    • 0037466482 scopus 로고    scopus 로고
    • A hidden Markov model for modelling long-term persistence in multi-site rainfall time series 1. model calibration using a Bayesian approach
    • M. Thyer and G. Kuczera. A hidden Markov model for modelling long-term persistence in multi-site rainfall time series 1. model calibration using a Bayesian approach. Journal of Hydrology, 275(1-2):12-26, 2003.
    • (2003) Journal of Hydrology , vol.275 , Issue.1-2 , pp. 12-26
    • Thyer, M.1    Kuczera, G.2
  • 27
    • 3042810797 scopus 로고    scopus 로고
    • Prediction of monsoon rainfall and river discharge on 15-30-day time scales
    • P. J. Webster and C. Hoyos. Prediction of monsoon rainfall and river discharge on 15-30-day time scales. Bulletin of the American Meteorological Society, 85(11):1745-1765, 2004.
    • (2004) Bulletin of the American Meteorological Society , vol.85 , Issue.11 , pp. 1745-1765
    • Webster, P.J.1    Hoyos, C.2


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