Advanced search
Publication Cover
Hydrological Sciences Journal Volume 63, 2018 - Issue 12
Submit an article Journal homepage
476
Views
1
CrossRef citations to date
0
Altmetric
Articles

Kernel distributed residual function in a revised multiple order autoregressive model and its applications in hydrology

Nesa IlichOptimal Solutions Ltd., Calgary, Alberta, CanadaCorrespondence[email protected]
View further author information
,
Amr GharibDepartment of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, CanadaView further author information
&
Evan G. R. DaviesDepartment of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, CanadaORCID Iconhttp://orcid.org/0000-0003-0536-333XView further author information
ORCID Icon
Pages 1745-1758 | Received 22 Nov 2017, Accepted 13 Sep 2018, Published online: 20 Nov 2018

References

  • Efstratiadis, A., et al., 2014. A multivariate stochastic model for the generation of synthetic time series at multiple time scales reproducing long-term persistence. Environmental Modelling & Software, 62, 139–152. doi:10.1016/j.envsoft.2014.08.017
  • Elshorbagy, A., Simonovic, S.P., and Panu, U.S., 2002. Estimation of missing streamflow data using principles of chaos theory. Journal of Hydrology, 255 (2002), 123–133. doi:10.1016/S0022-1694(01)00513-3
  • Gottschalk, L., et al., 2015. Interpolation of monthly runoff along rivers applying empirical orthogonal functions: application to the Upper Magdalena River Colombia. Journal of Hydrology, 528 (2015), 177–191. doi:10.1016/j.jhydrol.2015.06.029
  • Gyau-Boakye, P. and Schultz, G.A., 1994. Filling gaps in runoff time series in West Africa. Hydrological Sciences Journal, 39 (6), 621–636. doi:10.1080/02626669409492784
  • Ilich, N., 2009. A matching algorithm for generation of correlated random variables with arbitrary distribution functions. European Journal of Operational Research, 192 (2), 468–478. doi:10.1016/j.ejor.2007.09.024
  • Ilich, N., 2013. An effective three-step algorithm for multi-site generation of weekly stochastic hydrologic time series. Hydrological Sciences Journal, 59 (1–2), 2014. doi:10.1080/02626667.2013.822643
  • Iman, R. and Conover, W., 1982. A distribution free approach to inducing a rank correlation among input variables. Communications in Statistics – Simulation and Computation, 11 (3), 311–334. doi:10.1080/03610918208812265
  • Moffat, A., et al., 2007. Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes, Agric. Forest Meteorology. doi:10.1016/j.agrformet.2007.08.011
  • Moon, Y.U., Lall, U., and Bosworth, K., 1993. A comparison of tail probability estimators for flood frequency analyses. Journal of Hydrology, 151, 343–363. doi:10.1016/0022-1694(93)90242-2
  • Parzen, E., 1962. On estimation of a probability density function and mode. The Annals of Mathematical Statistics, 33 (3), 1065–1076.
  • Sauchyn, D. and Ilich, N. 2017. Nine hundred years of weekly streamflows: stochastic downscaling of ensemble tree-ring reconstructions. Water Resources Research. doi:10.1002/2017WR021585, Wiley on-line library.
  • Sauchyn, D., et al., 2014. Dendrohydrology in Canada’s western interior and applications to water resource management. Journal of Hydrology. doi:10.1016/j.jhydrol.2014.11.049
  • Scott, D., 1979. Op optimal and data-based histograms. Biometirka, 66 (3), 605–615. doi:10.1093/biomet/66.3.605
  • Sharma, A., Tarboton, D.G., and Lall, U., 1997. Streamflow Simulation: a nonparametric approach. Water Resources Research, 33 (2), 291–308. doi:10.1029/96WR02839
  • Simonovic, S.P., 1995. Synthesizing missing streamflow records on several Manitoba streams using multiple nonlinear standardized correlation analysis. Hydrological Sciences Journal, 40 (2), 183–203. doi:10.1080/02626669509491403
  • Tardivo, G. and Berti, A., 2013. The selection of predictors in a regression-based method for gap filling in daily temperature datasets. International Journal of Climatology, 34, 1311–1317. doi:10.1002/joc.3766
  • Tencaliec, P., et al., 2015. Reconstruction of missing daily streamflow data using dynamic regression models. Water Resources Research, 51, 9447–9463. doi:10.1002/2015WR017399
  • Whitt, W., 1976. Bivariate distributions with given marginals. The Annals of Statistics, 4, 1280–1289. doi:10.1214/aos/1176343660

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:

Order Reprints Request Corporate Permissions

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:

Request Academic Permissions

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.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.