Articles | Volume 12, issue 3
https://doi.org/10.5194/npg-12-397-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/npg-12-397-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
17 Mar 2005
Local polynomial method for ensemble forecast of time series
S. Regonda
Dept. of Civil, Env. and Arch. Eng., University of Colorado, Boulder, CO, USA
CIRES, University of Colorado, Boulder, CO, USA
B. Rajagopalan
Dept. of Civil, Env. and Arch. Eng., University of Colorado, Boulder, CO, USA
CIRES, University of Colorado, Boulder, CO, USA
U. Lall
Dept. of Earth and Env. Eng., Columbia University, New York, NY, USA
M. Clark
CIRES, University of Colorado, Boulder, CO, USA
Y.-I. Moon
Dept. of Civil Engg., University of Seoul, Seoul, Korea
Viewed
Total article views: 2,244 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,163 | 931 | 150 | 2,244 | 189 | 139 |
- HTML: 1,163
- PDF: 931
- XML: 150
- Total: 2,244
- BibTeX: 189
- EndNote: 139
Cited
35 citations as recorded by crossref.
- Using Parametric and Nonparametric Methods to Model Total Organic Carbon, Alkalinity, and pH after Conventional Surface Water Treatment E. Towler et al. 10.1089/ees.2008.0341
- Probabilistic prediction of real‐world time series: A local regression approach F. Laio et al. 10.1029/2006GL028776
- Statistical Ensemble Seasonal Streamflow Forecasting in the South Saskatchewan River Basin by a Modified Nearest Neighbors Resampling A. Gobena & T. Gan 10.1061/(ASCE)HE.1943-5584.0000021
- Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models S. Cheng et al. 10.1007/s10915-022-02059-4
- Statistical–Dynamical Approach for Streamflow Modeling at Malakal, Sudan, on the White Nile River P. Block & B. Rajagopalan 10.1061/(ASCE)1084-0699(2009)14:2(185)
- Testing Alternative Ground Water Models Using Cross‐Validation and Other Methods L. Foglia et al. 10.1111/j.1745-6584.2007.00341.x
- Time series forecasting for nonlinear and non-stationary processes: a review and comparative study C. Cheng et al. 10.1080/0740817X.2014.999180
- Prediction of the Behaviour from Discharge Points for Solid Waste Management S. De-la-Mata-Moratilla et al. 10.3390/make6030066
- Interannual Variability and Ensemble Forecast of Upper Blue Nile Basin Kiremt Season Precipitation P. Block & B. Rajagopalan 10.1175/JHM580.1
- Predicting chaotic time series with a partial model F. Hamilton et al. 10.1103/PhysRevE.92.010902
- Environmental Modelling through Chaotic Approach for Malaysian West Coast Sea Level. N. Ali & N. Hamid 10.1088/1742-6596/1529/3/032092
- Snowfall interception in a deciduousNothofagusforest and implications for spatial snowpack distribution M. Huerta et al. 10.1002/hyp.13439
- Chaotic Analysis for Malaysian West Coast Sea Level: a Case Study of Kukup, Johor N. Ali & N. Hamid 10.1088/1755-1315/286/1/012022
- Verification tools for probabilistic forecasts of continuous hydrological variables F. Laio & S. Tamea 10.5194/hess-11-1267-2007
- A robust multimodel framework for ensemble seasonal hydroclimatic forecasts P. Mendoza et al. 10.1002/2014WR015426
- Modeling Source Water TOC Using Hydroclimate Variables and Local Polynomial Regression C. Samson et al. 10.1021/acs.est.6b00639
- A Nonlinear Dynamical Systems‐Based Modeling Approach for Stochastic Simulation of Streamflow and Understanding Predictability B. Rajagopalan et al. 10.1029/2018WR023650
- Analysis and Prediction of Temperature Time Series Using Chaotic Approach M. Bahari & N. Hamid 10.1088/1755-1315/286/1/012027
- Nonlinear dynamics and chaos in hydrologic systems: latest developments and a look forward B. Sivakumar 10.1007/s00477-008-0265-z
- A technique for incorporating large‐scale climate information in basin‐scale ensemble streamflow forecasts K. Grantz et al. 10.1029/2004WR003467
- Nonlinear prediction of river flow in different watershed acreage N. Adenan & M. Noorani 10.1007/s12205-014-0646-4
- Kalman-Takens filtering in the presence of dynamical noise F. Hamilton et al. 10.1140/epjst/e2016-60363-2
- Probabilistic nonlinear prediction of river flows S. Tamea et al. 10.1029/2005WR004136
- Forecasting and Uncertainty Quantification Using a Hybrid of Mechanistic and Non-mechanistic Models for an Age-Structured Population Model J. Lagergren et al. 10.1007/s11538-018-0421-7
- Modeling NOM Breakthrough in GAC Adsorbers Using Nonparametric Regression Techniques B. Zachman et al. 10.1089/ees.2006.0223
- Hybrid modeling and prediction of dynamical systems F. Hamilton et al. 10.1371/journal.pcbi.1005655
- Estimation of covariance matrix using multi-response local polynomial estimator for designing children growth charts: A theoretically discussion N. Chamidah & B. Lestari 10.1088/1742-6596/1397/1/012072
- Measuring nonlinear dependence in hydrologic time series H. Kim et al. 10.1007/s00477-008-0268-9
- Seasonal forecasting of East Asian summer monsoon based on oceanic heat sources E. Lee et al. 10.1002/joc.1551
- Tracking and Predicting Barge Locations on Inland Waterways D. Randeniya & M. Hilliard 10.1061/(ASCE)CP.1943-5487.0000191
- Ensemble Kalman Filtering without a Model F. Hamilton et al. 10.1103/PhysRevX.6.011021
- A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction Q. Qin et al. 10.1007/s10614-018-9862-1
- Complicated ENSO models do not significantly outperform very simple ENSO models H. Halide & P. Ridd 10.1002/joc.1519
- A multimodel ensemble forecast framework: Application to spring seasonal flows in the Gunnison River Basin S. Regonda et al. 10.1029/2005WR004653
- Predictability and Chaotic Nature of Daily Streamflow C. Dhanya & D. Kumar 10.7158/13241583.2013.11465415
Latest update: 23 Nov 2024
