691
Views
5
CrossRef citations to date
0
Altmetric
Articles

Uncovering global climate fields causing local precipitation extremes

&
Pages 1227-1237 | Received 17 Jul 2014, Accepted 30 Dec 2014, Published online: 22 Mar 2016

References

  • Abram, N.J., et al., 2007. Seasonal characteristics of the Indian Ocean Dipole during the Holocene epoch. Nature, 445, 299–302. doi:10.1038/nature05477
  • Anirudh, V. and Umes, C.K., 2007. Classification of rainy days using SVM. Norfolk, Virginia: Proceedings of Symposium at HYDRO.
  • Bhagwat, P.P. and Maity, R., 2012. Multistep-ahead river flow prediction using LS-SVR at daily scale. Journal of Water Resource and Protection, 4, 528–539. doi:10.4236/jwarp.2012.47062
  • Boser, B.E., Guyon, I., and Vapnik, V., 1992. A training algorithm for optimal margin classifiers. Proceedings Fifth annual Workshop on Computational Learning Theory, Pittsburgh, 144–152. doi:10.1145/130385.130401
  • Brandimarte, L., et al., 2011. Relation between the north-atlantic oscillation and hydroclimatic conditions in mediterranean areas. Water Resources Management, 25 (5), 1269–1279. doi:10.1007/s11269-010-9742-5
  • Bray, M. and Han, D., 2004. Identification of support vector machines for runoff modelling. Journal of Hydroinformatics, 6, 265–280.
  • Cai, W. and Vanrensch, P., 2012. The 2011 southeast Queensland extreme summer rainfall: a confirmation of a negative pacific decadal oscillation phase? Geophysical Research Letters, 39, L08702. doi:10.1029/2011GL050820
  • Chen, H., et al., 2010. Downscaling GCMs using the smooth support vectormachine method to predict daily precipitation in the Hanjiang basin. Advances in Atmospheric Science, 27 (2), 274–284. http://dx.doi.org/10.1007/s00376-009-8071-1
  • Chiew, F.H.S. and McMahon, T.A., 2002. Global ENSO-streamflow teleconnection, streamflow forecasting and interannual variability. Hydrological Sciences Journal, 47 (3), 505–522. doi:10.1080/02626660209492950
  • Clark, C.O., Cole, J.E., and Webster, P.J., 2000. Indian ocean SST and Indian summer rainfall: predictive relationships and their decadal variability. Journal of Climate, 13, 2503–2519. doi:10.1175/1520-0442(2000)013<2503:IOSAIS>2.0.CO;2
  • Cristianini, N. and Shawe-Taylor, J., 2000. An introduction to support vector machines: and other kernel-based learning methods. Cambridge: Cambridge University Press.
  • Feng, S. and Hu, Q., 2008. How the North Atlantic Multidecadal Oscillation may have influenced the Indian summer monsoon during the past two millennia. Geophysical Research Letters, 35, L01707. doi:10.1029/2007GL032484
  • Francis, P.A. and Gadgil, S., 2013. A note on new indices for the equatorial Indian Ocean oscillation. The Journal of Earth System Science, 122 (4), 1005–1011. doi:10.1007/s12040-013-0320-0
  • Fu, G., et al., 2013. Temporal variation of extreme rainfall events in China. 1961–2009. Journal of Hydrology, 487, 48–59. doi:10.1016/j.jhydrol.2013.02.021
  • Gadgil, S., et al., 2004. Extremes of the Indian summer monsoon rainfall, ENSO and equatorial Indian Ocean oscillation. Geophysical Research Letters, 31, L12213. doi:10.1029/2004GL019733
  • Giannini, A., Biasutti, M., and Verstraete, M.M., 2008. A climate model-based review of drought in the Sahel: desertification, the re-greening and climate change. Global and Planetary Change, 64, 119–128. doi:10.1016/j.gloplacha.2008.05.004
  • Gibbons, J.D. and Chakraborti, S., 2011. Nonparametric statistical inference. 5th ed. Boca Raton, FL: Chapman and Hall.
  • Goswami, B.N., et al., 2006. A physical mechanism for North Atlantic SST influence on the Indian summer monsoon. Geophysical Research Letters, 33, L02706. doi:10.1029/2005GL024803
  • Gu, W., et al., 2009. Interdecadal unstationary relationship between NAO and east China’s summer precipitation patterns. Geophysical Research Letters, 36, L13702. doi:10.1029/2009GL038843
  • Guyon, I., Boser, B., and Vapnik, V., 1993. Automatic capacity tuning of very large VC-dimension classifiers. In: H.S. José, C. Jd, and G.C. Lee, eds. Advances in neural information processing systems. Vol. 5. San Mateo: Morgan Kaufmann, 147–155.
  • Hoell, A. and Funk, C., 2013. The ENSO-Related West Pacific Sea surface temperature gradient. Journal of Climate, 26, 9545–9562. doi:10.1175/JCLI-D-12-00344.1
  • Hoerling, M., 2003. The perfect ocean for drought. Science, 299 (5607), 691–694. doi:10.1126/science.1079053
  • Jiang, P., et al., 2013. How well do the GCMs/RCMs capture the multi-scale temporal variability of precipitation in the Southwestern United States? Journal of Hydrology, 479, 75–85. doi:10.1016/j.jhydrol.2012.11.041
  • Jolliffe, I.T., 1986. Principal component analysis. New York, NY: Springer.
  • King, A.D., Alexander, L.V., and Donat, M.G., 2013. Asymmetry in the response of eastern Australia extreme rainfall to low-frequency Pacific variability. Geophysical Research Letters, 40, 2271–2277. doi:10.1002/grl.50427
  • Kişi, O. and Çimen, M., 2009. Evapotranspiration modelling using support vector machines / Modélisation de l’évapotranspiration à l’aide de ‘support vector machines’. Hydrological Sciences Journal, 54 (5), 918–928. doi:10.1623/hysj.54.5.918
  • Kousky, V.E., Kagano, M.T., and Cavalcanti, I.F.A., 1984. A review of the Southern Oscillation: oceanic-atmospheric circulation changes and related rainfall anomalies. Tellus, 36A (5), 490–504. doi:10.1111/j.1600-0870.1984.tb00264.x
  • Krishna Kumar, K., 1999. On the weakening relationship between the Indian monsoon and ENSO. Science, 284, 2156–2159. doi:10.1126/science.284.5423.2156
  • Krishnamurthy, L. and Krishnamurthy, V., 2013. Decadal scale oscillations and trend in the Indian monsoon rainfall. Climate Dynamics. doi:10.1007/s00382-013-1870-1
  • Li, S., et al., 2008. Modelling the influence of North Atlantic multidecadal warmth on the Indian summer rainfall. Geophysical Research Letters, 35, L05804. doi:10.1029/2007GL032901
  • Lin, J.-Y., Cheng, C.-T., and Chau, K.-W., 2006. Using support vector machines for long-term discharge prediction. Hydrological Sciences Journal, 51 (4), 599–612. doi:10.1623/hysj.51.4.599
  • Maity, R., Bhagwat, P.P., and Bhatnagar, A., 2010. Potential of support vector regression for prediction of monthly streamflow using endogenous property. Hydrological Processes, 24, 917–923. doi:10.1002/hyp.7535
  • Maity, R. and Kashid, S.S., 2010. Short-term basin-scale streamflow forecasting using large-scale coupled atmospheric oceanic circulation and local outgoing longwave radiation. Journal of Hydrometeorology, American Meteorological Society (AMetSoc), 11 (2), 370–387. doi:10.1175/2009JHM1171.1
  • Maity, R. and Kashid, S.S., 2011. Importance analysis of local and global climate inputs for basin-scale streamflow prediction. Water Resources Research, American Geophysical Union, 47, W11504. doi:10.1029/2010WR009742
  • Maity, R. and Nagesh Kumar, D., 2006. Hydroclimatic association of the monthly summer monsoon rainfall over India with large-scale atmospheric circulations from tropical Pacific Ocean and the Indian Ocean region. Atmospheric Science Letters, 7, 101–107. doi:10.1002/asl.141
  • Maity, R. and Nagesh Kumar, D., 2008. Basin-scale stream-flow forecasting using the information of large-scale atmospheric circulation phenomena. Hydrological Processes, 22 (5), 643–650. doi:10.1002/hyp.6630
  • Maity, R., Ramadas, M., and Govindaraju, R.S., 2013. Identification of hydrologic drought triggers from hydroclimatic predictor variables. Water Resources Research, American Geophysical Union, 49, 4476–4492. doi:10.1002/wrcr.20346
  • Mo, K.C. and Schemm, J.E., 2008. Relationships between ENSO and drought over the southeastern United States. Geophysical Research Letters, 35, L15701. doi:10.1029/2008GL034656
  • Nicholls, N., 1983. Predicting Indian monsoon rainfall from sea-surface temperature in the Indonesia–north Australia area. Nature, 306, 576–577. doi:10.1038/306576a0
  • Oubeidillah, A.A., Tootle, G., and Anderson, S.-R., 2012. Atlantic Ocean sea-surface temperatures and regional streamflow variability in the Adour-Garonne basin, France. Hydrological Sciences Journal, 57 (3), 496–506. doi:10.1080/02626667.2012.659250
  • Panda, D.K., et al., 2013. Streamflow trends in the Mahanadi River basin (India): linkages to tropical climate variability. Journal of Hydrology, 495, 135–149. doi:10.1016/j.jhydrol.2013.04.054
  • Parthasarathy, B., Munot, A.A., and Kothaale, D.R., 1995. All-India monthly and seasonal rainfall series: 1871–1993. Theoritical and Applied Climatology, 49, 217–224. doi:10.1007/BF00867461
  • Pearson, K., 1904. On the theory of contingency and its relation to association and normal correlation. Draper’s Comp. Res. Mem. Biometric Ser. I, London, UK: Dulau and Co.
  • Philipp, A., et al., 2007. Long-term variability of daily North Atlantic–European pressure patterns since 1850 classified by simulated annealing clustering. Journal of Climate, 20, 4065–4095. doi:10.1175/JCLI4175.1
  • Qin, Z., et al., 2005. Application of least squares vector machines in modelling water vapor and carbon dioxide fluxes over a cropland. Journal of Zhejiang University Science, 6B (6), 491–495. doi:10.1631/jzus.2005.B0491
  • Qiu, Y., et al., 2014. The asymmetric influence of the positive and negative IOD events on China’s rainfall. Scientific Reports, 4, 4943. doi:10.1038/srep04943
  • Raghavendra, N.S. and Deka, P.C., 2014. Support vector machine applications in the field of hydrology: a review. Applied Soft Computing, 19, 372–386. http://dx.doi.org/10.1016/j.asoc.2014.02.002
  • Rajagopalan, B. and Molnar, P., 2012. Pacific Ocean sea-surface temperature variability and predictability of rainfall in the early and late parts of the Indian summer monsoon season. Climate Dynamics, 39 (6), 1543–1557. doi:10.1007/s00382-011-1194-y
  • Rajeevan, M., et al., 2006. High resolution daily gridded rainfall data for the Indian region: analysis of break and active monsoon spells. Current Science, 91 (3), 296–306.
  • Rasmusson, E.M. and Carpenter, T.H., 1983. The relationship between eastern equatorial Pacific sea surface temperature and rainfall over India and Sri Lanka. Monthly Weather Review, 111, 517–528. doi:10.1175/1520-0493(1983)111<0517:TRBEEP>2.0.CO;2
  • Rogers, J.C., 2013. The 20th century cooling trend over the southeastern United States. Climate Dynamics, 40 (1–2), 341–352. doi:10.1007/s00382-012-1437-6
  • Saji, N.H., et al., 1999. A dipole mode in the tropical Indian Ocean. Nature, 401, 360–363. doi:10.1038/43854
  • Samsudin, R., Saad, P., and Shabri, A., 2011. River flow time series using least squares support vector machines. Hydrology and Earth System Sciences, 15, 1835–1852. doi:10.5194/hess-15-1835-2011
  • She, N. and Basketfield, D., 2005. Long range forecast of streamflow using support vector machine. In: R. Walton ed. Proceedings of the world water and environment resources congress ASCE, May 15–19, 2005, Anchorage: Alaska. doi:10.1061/40792(173)481
  • Shelton, M.L., 2009. Hydroclimatology: perspectives and applications. New York: Cambridge University Press.
  • Singhrattna, N., Babel, M.S., and Perret, S.R., 2012. Hydroclimate variability and long-lead forecasting of rainfall over Thailand by large-scale atmospheric variables. Hydrological Sciences Journal, 57 (1), 26–41. doi:10.1080/02626667.2011.633916
  • Terray, P., et al., 2003. Sea surface temperature associations with the late Indian summer monsoon. Climate Dynamics, 21, 593–618. doi:10.1007/s00382-003-0354-0
  • Ting, M., et al., 2011. Robust features of Atlantic multi-decadal variability and its climate impacts. Geophysical Research Letters, 38, L17705. doi:10.1029/2011GL048712
  • Tripathi, S.H., Srinivas, V.V., and Nanjundiah, R.S., 2006. Downscaling of precipitation for climate change scenarios: a support vector machine approach. Journal of Hydrology, 330, 621–640. doi:10.1016/j.jhydrol.2006.04.030
  • Vapnik, V.N., 1998. Statistical learning theory. New York, NY: John Wiley & Sons.
  • Viswambharan, N. and Mohanakumar, K., 2014. Modulation of Indian summer monsoon through northern and southern hemispheric extra-tropical oscillations. Climate Dynamics, Springer, Article in press, 43, 925–938. doi:10.1007/s00382-014-2049-0
  • Wang, B., et al., 2013. Northern Hemisphere summer monsoon intensified by mega-El Niño/southern oscillation and Atlantic multidecadal oscillation. Proceedings of the National Academy of Sciences of the United States of America. doi:10.1073/pnas.1219405110
  • Willems, P., 2013. Multidecadal oscillatory behaviour of rainfall extremes in Europe. Climatic Change, 120 (4), 931–944. doi:10.1007/s10584-013-0837-x
  • Wong, W.K., et al., 2011. Climate change effects on spatiotemporal patterns of hydroclimatological summer droughts in Norway. Journal of Hydrometeorology, 12 (6), 1205–1220. doi:10.1175/2011JHM1357.1
  • Wu, R. and Zhang, L., 2010. Biennial relationship of rainfall variability between Central America and equatorial South America. Geophysical Research Letters, 37, L08701. doi:10.1029/2010GL042732
  • Ye, J.-S., 2014. Trend and variability of China’s summer precipitation during 1955–2008. International Journal of Climatology, 34, 559–566. doi:10.1002/joc.3705
  • Yuan, X. and Wood, E.F., 2013. Multimodel seasonal forecasting of global drought onset. Geophysical Research Letters, 40. doi:10.1002/grl.50949
  • Zakaria, Z.A. and Shabri, A., 2012. Streamflow forecasting at ungaged sites using support vector machines. Applied Mathematical Sciences, 6 (60), 3003–3014.
  • Zhuang, W., Qiu, B., and Du, Y., 2013. Low-frequency western Pacific Ocean sea level and circulation changes due to the connectivity of the Philippine Archipelago. Journal of Geophysical Research Oceans, 118, 6759–6773. doi:10.1002/2013JC009376

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.