Articles | Volume 23, issue 4
https://doi.org/10.5194/hess-23-1905-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-1905-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Apr 2019
Research article |
| 09 Apr 2019
| 09 Apr 2019
Identifying El Niño–Southern Oscillation influences on rainfall with classification models: implications for water resource management of Sri Lanka
Thushara De Silva M.
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, Tennessee, USA
Vanderbilt Institute for Energy and Environment, Vanderbilt University, Nashville, Tennessee, USA
George M. Hornberger
Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, Tennessee, USA
Department of Earth and Environmental Science, Vanderbilt University, Nashville, Tennessee, USA
Vanderbilt Institute for Energy and Environment, Vanderbilt University, Nashville, Tennessee, USA
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Cited
16 citations as recorded by crossref.
- Non-stationary frequency analysis of extreme rainfall events on the east coast of KwaZulu-Natal, South Africa K. Johnson et al. 10.1080/02626667.2025.2464233
- Predicting temperature and precipitation during the flood season based on teleconnection J. Jung & H. Kim 10.1186/s40562-022-00212-3
- Assessing the Impact of Long-Term ENSO, SST, and IOD Dynamics on Extreme Hydrological Events (EHEs) in the Kelani River Basin (KRB), Sri Lanka V. Wijeratne et al. 10.3390/atmos14010079
- Spatiotemporal Variability of Precipitation and Its Statistical Relations to ENSO in the High Andean Rio Bogotá Watershed, Colombia N. Anselm et al. 10.1175/EI-D-19-0019.1
- Role of El Nino-Southern Oscillation (ENSO) & Indian Ocean Dipole (IOD) Events on the Spatiotemporal Variability of NDVI in Southern Indian Region A. Deivanayagam & R. Sarangi 10.1007/s00024-025-03733-y
- Earth fissure hazard prediction using machine learning models B. Choubin et al. 10.1016/j.envres.2019.108770
- Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method F. Hosseini et al. 10.1016/j.scitotenv.2019.135161
- SPI-Based Spatiotemporal Drought over Sri Lanka N. Abeysingha & U. Rajapaksha 10.1155/2020/9753279
- Analysis of El Niño Southern Oscillation and its impact on rainfall distribution and productivity of selected cereal crops in Kembata Alaba Tembaro zone B. Haile et al. 10.1016/j.cliser.2021.100254
- Long-term hydroclimatic variability over the semi-arid Ethiopian highlands in relation to ENSO and IOD teleconnection signals H. Shiferaw et al. 10.1007/s00704-023-04450-z
- Evaluating the Influence of El Nino–Southern Oscillation (ENSO) Patterns on the Spatio-Temporal Variations of Drought over Southern Peninsular Indian Region A. Deivanayagam et al. 10.1007/s12524-022-01589-6
- Deriving Reservoir Cascade Operation Rules for Variable Streamflows by Optimizing Hydropower Generation and Irrigation Water Delivery T. De Silva Manikkuwahandi & G. Hornberger 10.1061/(ASCE)WR.1943-5452.0001372
- Forecasting El Niño and La Niña events using decision tree classifier K. Silva et al. 10.1007/s00704-022-03999-5
- The correlation between three teleconnections and leptospirosis incidence in the Kandy District, Sri Lanka, 2004–2019 N. Ehelepola et al. 10.1186/s41182-021-00325-z
- Recent rainfall trend over Sri Lanka (1987–2017) W. Nisansala et al. 10.1002/joc.6405
- Streamflow Variability in Mahaweli River Basin of Sri Lanka during 1990–2014 and Its Possible Mechanisms S. Shelton & Z. Lin 10.3390/w11122485
15 citations as recorded by crossref.
- Non-stationary frequency analysis of extreme rainfall events on the east coast of KwaZulu-Natal, South Africa K. Johnson et al. 10.1080/02626667.2025.2464233
- Predicting temperature and precipitation during the flood season based on teleconnection J. Jung & H. Kim 10.1186/s40562-022-00212-3
- Assessing the Impact of Long-Term ENSO, SST, and IOD Dynamics on Extreme Hydrological Events (EHEs) in the Kelani River Basin (KRB), Sri Lanka V. Wijeratne et al. 10.3390/atmos14010079
- Spatiotemporal Variability of Precipitation and Its Statistical Relations to ENSO in the High Andean Rio Bogotá Watershed, Colombia N. Anselm et al. 10.1175/EI-D-19-0019.1
- Role of El Nino-Southern Oscillation (ENSO) & Indian Ocean Dipole (IOD) Events on the Spatiotemporal Variability of NDVI in Southern Indian Region A. Deivanayagam & R. Sarangi 10.1007/s00024-025-03733-y
- Earth fissure hazard prediction using machine learning models B. Choubin et al. 10.1016/j.envres.2019.108770
- Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method F. Hosseini et al. 10.1016/j.scitotenv.2019.135161
- SPI-Based Spatiotemporal Drought over Sri Lanka N. Abeysingha & U. Rajapaksha 10.1155/2020/9753279
- Analysis of El Niño Southern Oscillation and its impact on rainfall distribution and productivity of selected cereal crops in Kembata Alaba Tembaro zone B. Haile et al. 10.1016/j.cliser.2021.100254
- Long-term hydroclimatic variability over the semi-arid Ethiopian highlands in relation to ENSO and IOD teleconnection signals H. Shiferaw et al. 10.1007/s00704-023-04450-z
- Evaluating the Influence of El Nino–Southern Oscillation (ENSO) Patterns on the Spatio-Temporal Variations of Drought over Southern Peninsular Indian Region A. Deivanayagam et al. 10.1007/s12524-022-01589-6
- Deriving Reservoir Cascade Operation Rules for Variable Streamflows by Optimizing Hydropower Generation and Irrigation Water Delivery T. De Silva Manikkuwahandi & G. Hornberger 10.1061/(ASCE)WR.1943-5452.0001372
- Forecasting El Niño and La Niña events using decision tree classifier K. Silva et al. 10.1007/s00704-022-03999-5
- The correlation between three teleconnections and leptospirosis incidence in the Kandy District, Sri Lanka, 2004–2019 N. Ehelepola et al. 10.1186/s41182-021-00325-z
- Recent rainfall trend over Sri Lanka (1987–2017) W. Nisansala et al. 10.1002/joc.6405
1 citations as recorded by crossref.
Latest update: 04 Jul 2025
Short summary
Season-ahead rainfall forecast is very important for water resource management. Classification methods are used to identify the extreme rainfall classes dry and wet using climate teleconnections. These models can be used for river basin areal rainfall forecast and water resources and power generation planning for climate uncertainty. Water resource management decisions are informed by forecasts of El Niño–Southern Oscillation and Indian Ocean Dipole phenomena.
Season-ahead rainfall forecast is very important for water resource management. Classification...
