Amarasekera, K. N., Lee, R. F., Williams, E. R., and Eltahir, E. A. B.: ENSO
and the natural variability in the flow tropical rivers, J. Hydrol., 200,
24–39, https://doi.org/10.1016/S0022-1694(96)03340-9, 1997.
Analytical Vidhya Team: Tunning the parameters of your Random Forest model,
available at: https://www.analyticsvidhya.com/blog/2015/06/tuning-random-forest-model/
(last access: 12 March 2018), 2015.
Analytical Vidhya Team: A Complete Tutorial on Tree Based Modeling from Scratch,
available at: https://www.analyticsvidhya.com/blog/2016/04/complete-tutorial-tree-based-modeling-scratch-in-python/
(last access: 12 March 2018), 2016.
Block, P. and Goddard, L.: Statistical and Dynamical Climate Predictions to
Guide Water Resources in Ethiopia, J. Water Resour. Plan. Manage., 138, 287–298,
https://doi.org/10.1061/(ASCE)WR.1943-5452.0000181, 2012.
Breiman, L.: Randomforest2001, Mach. Learn., 45, 5–32, https://doi.org/10.1017/CBO9781107415324.004, 2001.
Bureau of Meteorology: Record-breaking La Niña events, Bureau of Meteorology,
26, available at: http://www.bom.gov.au/climate/enso/history/La-Nina-2010-12.pdf
(last access: 1 February 2018), 2012.
Bureau of Meteorology: Indian Ocean, POAMA monthly mean IOD forecast, available
at: http://www.bom.gov.au/climate/enso/#tabs=Indian-Ocean, last access:
30 March 2017.
Cabrera, V. E., Letson, D., and Podesta, G.: The value of climate information
when farm programs matter, Agricult. Syst., 93, 25–42, https://doi.org/10.1016/j.agsy.2006.04.005, 2007.
Cao, Q., Hao, Z., Yuan, F., Su, Z., Berndtsson, R., Hao, J., and Nyima, T.:
Impact of ENSO regimes on developing- and decaying-phase precipitation during
rainy season in China, Hydrol. Earth Syst. Sci., 21, 5415–5426, https://doi.org/10.5194/hess-21-5415-2017, 2017.
Ceylon Electricity Board: Long Term Generation Expansion Plan 2015–2034,
available at: http://pucsl.gov.lk/english/wp-content/uploads/2015/09/Long-Term-Generation-Plan-2015-2034-PUCSL.pdf
(last access: 1 September 2017), 2015.
Ceylon Electricity Board: River Basin Hydrology Data, System control branch
Transmission Division, Sri Lanka, 2017.
Chandimala, J. and Zubair, L.: Predictability of stream flow and rainfall based
on ENSO for water resources management in Sri Lanka, J. Hydrol., 335, 303–312,
https://doi.org/10.1016/j.jhydrol.2006.11.024, 2007.
Chandrasekara, S., Prasanna, V., and Kwon, H. H.: Monitoring Water Resources
over the Kotmale Reservoir in Sri Lanka Using ENSO Phases, Adv. Meteorol.,
2017, 4025964, https://doi.org/10.1155/2017/4025964, 2017.
Chaudhari, H. S., Pokhrel, S., Mohanty, S., and Saha, S. K.: Seasonal prediction
of Indian summer monsoon in NCEP coupled and uncoupled model, Theor. Appl.
Climatol., 114, 459–477, https://doi.org/10.1007/s00704-013-0854-8, 2013.
Denise, C., Rogers, W., and Beringer, J.: Describing rainfall in northern
Australia using multiple climate indices, Biogeosciences, 14, 597–615,
https://doi.org/10.5194/bg-14-597-2017, 2017.
Department of Agriculture Sri Lanka: Climate zones of Sri Lanka, available at:
https://www.doa.gov.lk/images/weather_climate/Climatezone.jpg, last access:
7 November 2017.
Department of Meteorology Sri Lanka: Climate of Sri Lanka., available at:
http://www.meteo.gov.lk/index.php?option=com_content&view=article&id=94&Itemid=310&lang=en,
last access: 7 November 2017.
De Silva M., T.: Rainfall_Season_Classification, available at:
https://github.com/thusharadesilva/Rainfall_Season_Classification.git,
last access: 28 March 2019.
Dettinger, M. D. and Diaz, H. F.: Global Characteristics of Stream Flow
Seasonality and Variability, J. Hydrometeorol., 1, 289–310, https://doi.org/10.1175/1525-7541(2000)001<0289:GCOSFS>2.0.CO;2, 2000.
Easterling, D. R., Meehl, G. A., Parmesan, C., Changnon, S. A., Karl, T. R.,
and Mearns, L. O.: Climate extremes: Observations, modeling, and impacts,
Science, 289, 2068–2074, https://doi.org/10.1126/science.289.5487.2068, 2000.
Eden, J. M., Van Oldenborgh, G. J., Hawkins, E., and Suckling, E. B.: A global
empirical system for probabilistic seasonal climate prediction, Geosci. Model
Dev., 8, 3947–3973, https://doi.org/10.5194/gmd-8-3947-2015, 2015.
Gerlitz, L., Vorogushyn, S., Apel, H., Gafurov, A., Unger-Shayesteh, K., and
Merz, B. A.: Statistically based seasonal precipitation forecast model with
automatic predictor selection and its application to central and south Asia,
Hydrol. Earth Syst. Sci., 20, 4605–4623, https://doi.org/10.5194/hess-20-4605-2016, 2016.
International research institute: ENSO resources, El-Nino teleconnections & La-Nina
teleconnections, available at: http://iri.columbia.edu/our-expertise/climate/enso/
(last access: 1 January 2017), 2017a.
International research institute: IRI ENSO forecast, available at:
http://iri.columbia.edu/our-expertise/climate/forecasts/enso/current
(last access: 1 January 2017), 2017b.
International Research Institute for Climate Society: IRI Seasonal Precipitation
Forecast, available at: http://iridl.ldeo.columbia.edu/maproom/Global/Forecasts/NMME_Seasonal_Forecasts/Precipitation_ELR.html,
last access: 12 February 2018.
James, G., Witten, D., Hastie, T., and Tibshirani, R.: An introduction to
statistical learning., in: Vol. 112, Springer, New York, p. 18, ISBN 978-1-4614-7138-7,
https://doi.org/10.1007/978-1-4614-7138-7, 2013.
Japan Agency for Marine Earth Science and Technology: SST/DMI data set,
available at: http://www.jamstec.go.jp/aplinfo/sintexf/DATA/dmi.monthly.txt,
last access: 1 February 2019.
Jentsch, A., Kreyling, J., and Beierkuhnlein, C.: A new generation of events,
not trends experiments, Front. Ecol. Environ., 5, 365–374, https://doi.org/10.1890/1540-9295(2007)5[365:ANGOCE]2.0.CO;2, 2007.
Jha, S., Sehgal, V. K., Raghava, R., and Sinha, M.: Teleconnections of ENSO and
IOD to summer monsoon and rice production potential of India, Dynam. Atmos.
Oceans, 76, 93–104, https://doi.org/10.1016/j.dynatmoce.2016.10.001, 2016.
Knapp, A. K., Hoover, D. L., Wilcox, K. R., Avolio, M. L., Koerner, S. E.,
La Pierre, K. J., and Smith, M. D.: Characterizing differences in precipitation
regimes of extreme wet and dry years: Implications for climate change experiments,
Global Change Biol., 21, 2624–2633, https://doi.org/10.1111/gcb.12888, 2015.
Korecha, D. and Sorteberg, A.: Validation of operational seasonal rainfall
forecast in Ethiopia, Water Resour. Res., 49, 7681–7697, https://doi.org/10.1002/2013WR013760, 2013.
Lee, H.: General Rainfall Patterns in Indonesia and the Potential Impacts of
Local Seas on Rainfall Intensity, Water, 7, 1751–1769, https://doi.org/10.3390/w7041751, 2015.
Löwe, R., Madsen, H., and McSharry, P.: Objective classification of rainfall
in northern Europe for online operation of urban water systems based on
clustering techniques, Water (Switzerland), 8, 87, https://doi.org/10.3390/w8030087, 2016.
Maity, R. and Nagesh Kumar, D.: Bayesian dynamic modeling for monthly Indian
summer monsoon rainfall using El Niño-Southern Oscillation (ENSO) and
Equatorial Indian Ocean Oscillation (EQUINOO), J. Geophys. Res.-Atmos., 111,
1–12, https://doi.org/10.1029/2005JD006539, 2006.
Malmgren, B. A., Hulugalla, R., Hayashi, Y., and Mikami, T.: Precipitatioon
trends in Sri Lanka since the 1870s and relationships to El Niño-southern
oscillation, Int. J. Climatol., 23, 1235–1252, https://doi.org/10.1002/joc.921, 2003.
Malmgren, B. A., Hullugalla, R., Lindeberg, G., Inoue, Y., Hayashi, Y., and
Mikami, T.: Oscillatory behavior of monsoon rainfall over Sri Lanka during the
late 19th and 20th centuries and its relationships to SSTs in the Indian Ocean
and ENSO, Theor. Appl. Climatol., 89, 115–125, https://doi.org/10.1007/s00704-006-0225-9, 2007.
Manchanayake, P. and Madduma Bandara, C.: Water Resources of Sri Lanka, National
Science Foundation, Sri Lanka, available at: http://thakshana.nsf.ac.lk/slstic/NA-202/NA_202.pdf
(last access: 1 August 2017), 1999.
National Center for Atmospheric Research: NINO SST Indices (NINO 1+2, 3, 3.4,
4; ONI and TNI), available at: https://climatedataguide.ucar.edu/climate-data/nino-sst-indices-nino-12-3-34-4-oni-and-tni,
last access: 1 February 2018.
National Oceanic and Atmospheric Administration: El Nino Southern oscilation,
available at: http://www.esrl.noaa.gov/psd/enso/past_events.html (last
access: 1 August 2018), 2017.
National Oceanic and Atmospheric Administration: Three Months Outlook, Official
Forecast, Climate Prediction Center, National Weather Services, available at:
http://www.cpc.ncep.noaa.gov/products/predictions/long_range/seasonal.php?lead=6,
last access: 12 February 2018.
Nur'utami, M. N. and Hidayat, R.: Influences of IOD and ENSO to Indonesian
Rainfall Variability: Role of Atmosphere-ocean Interaction in the Indo-pacific
Sector, Proced. Environ. Sci., 33, 196–203, https://doi.org/10.1016/j.proenv.2016.03.070, 2016.
Ouyang, R., Liu, W., Fu, G., Liu, C., Hu, L., and Wang, H.: Linkages between
ENSO/PDO signals and precipitation, streamflow in China during the last 100 years,
Hydrol. Earth Syst. Sci., 18, 3651–3661, https://doi.org/10.5194/hess-18-3651-2014, 2014.
Power, S., Casey, T., Folland, C., Colman, A., and Mehta, V.: Inter-decadal
modulation of the impact of ENSO on Australia, Clim. Dynam., 15, 319–324,
https://doi.org/10.1007/s003820050284, 1999.
Qiu, Y., Cai, W., Guo, X., and Ng, B.: The asymmetric influence of the positive
and negative IOD events on China's rainfall, Scient. Rep., 4, 4943, https://doi.org/10.1038/srep04943, 2014.
Ranatunge, E., Malmgren, B. A., Hayashi, Y., Mikami, T., Morishima, W., Yokozawa,
M., and Nishimori, M.: Changes in the Southwest Monsoon mean daily rainfall
intensity in Sri Lanka: Relationship to the El Niño-Southern Oscillation,
Palaeogeogr. Palaeocl., 197, 1–14, https://doi.org/10.1016/S0031-0182(03)00383-3, 2003.
Reason, C. J. C., Landman, W., and Tennant, W.: Seasonal to decadal prediction
of southern African climate and its links with variability of the Atlantic ocean,
B. Am. Meteorol. Soc., 87, 941–955, https://doi.org/10.1175/BAMS-87-7-941, 2006.
Ropelewski, C. F. and Halpert, M. S.: Quantifying Southern Oscillation–Precipitation
Relantionships, J. Climate, 9, 1043–1059, 1996.
Schneider, T., Bischoff, T., and Haug, G. H.: Migrations and dynamics of the
intertropical convergence zone, Nature, 513, 45–53, https://doi.org/10.1038/nature13636, 2014.
Seibert, M., Merz, B., and Apel, H.: Seasonal forecasting of hydrological
drought in the Limpopo Basin: A comparison of statistical methods, Hydrol. Earth
Syst. Sci., 21, 1611–1629, https://doi.org/10.5194/hess-21-1611-2017, 2017.
Singhrattna, N., Rajagopalan, B., Clark, M., and Kumar, K. K.: Seasonal
forecasting of Thailand summer monsoon rainfall, Int. J. Climatol., 25, 649–664,
https://doi.org/10.1002/joc.1144, 2005a.
Singhrattna, N., Rajagopalan, B., Krishna Kumar, K., and Clark, M.: Interannual
and interdecadal variability of Thailand summer monsoon season, J. Climate,
18, 1697–1708, https://doi.org/10.1175/JCLI3364.1, 2005b.
Smith, M. D.: The ecological role of climate extremes: Current understanding
and future prospects, J. Ecol., 99, 651–655, https://doi.org/10.1111/j.1365-2745.2011.01833.x, 2011.
Suppiah, R.: Spatial and temporal variations in the relationships between the
southern oscillation phenomenon and the rainfall of Sri Lanka, Int. J. Climatol.,
16, 1391–1407, https://doi.org/10.1002/(SICI)1097-0088(199612)16:12<1391::AID-JOC94>3.0.CO;2-X, 1996.
Surendran, S., Gadgil, S., Francis, P. A., and Rajeevan, M.: Prediction of
Indian rainfall during the summer monsoon season on the basis of links with
equatorial Pacific and Indian Ocean climate indices, Environ. Res. Lett., 10,
094004, https://doi.org/10.1088/1748-9326/10/9/094004, 2015.
Verdon, D. C. and Franks, S. W.: Indian Ocean sea surface temperature variability
and winter rainfall: Eastern Australia, Water Resour. Res., 41, 1–10,
https://doi.org/10.1029/2004WR003845, 2005.
Ward, P. J., Eisner, S., Flo Rke, M., Dettinger, M. D., and Kummu, M.: Annual
flood sensitivities to el nintild;O-Southern Oscillation at the global scale,
Hydrol. Earth Syst. Sci., 18, 47–66, https://doi.org/10.5194/hess-18-47-2014, 2014.
Whitaker, D. W., Wasimi, S. A., and Islam, S.: The El Niño – Southern
Oscillation and Long-Range the Forecastong of Flows in the Ganges, Int. J.
Climatol., 21, 77–87, 2001.
Zubair, L.: El Niño-southern oscillation influences on the Mahaweli
streamflow in Sri Lanka, Int. J. Climatol., 23, 91–102, https://doi.org/10.1002/joc.865, 2003.
Zubair, L. and Ropelewski, C. F.: The strengthening relationship between ENSO
and northeast monsoon rainfall over Sri Lanka and southern India, J. Climate,
19, 1567–1575, https://doi.org/10.1175/JCLI3670.1, 2006.