Title: Dominant processes concept in hydrology: moving forward
Abstract: Hydrological ProcessesVolume 18, Issue 12 p. 2349-2353 Invited CommentaryFull Access Dominant processes concept in hydrology: moving forward Bellie Sivakumar, Corresponding Author Bellie Sivakumar [email protected] Department of Land, Air & Water Resources, University of California, Davis, CA 95616, USADepartment of Land, Air & Water Resources, University of California, Davis, CA 95616, USA.===Search for more papers by this author Bellie Sivakumar, Corresponding Author Bellie Sivakumar [email protected] Department of Land, Air & Water Resources, University of California, Davis, CA 95616, USADepartment of Land, Air & Water Resources, University of California, Davis, CA 95616, USA.===Search for more papers by this author First published: 06 August 2004 https://doi.org/10.1002/hyp.5606Citations: 86AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat REFERENCES Beven KJ. 2002. Uncertainty and the detection of structural change in models of environmental systems. In Environmental Foresight and Models: A Manifesto, MB Beck (ed.). Elsevier Science: The Netherlands; 227–250. Beven KJ, Young P. 2003. Comment on 'Bayesian recursive parameter estimation for hydrologic models' by M. Thiemann, M. Trosset, H. Gupta, and S. Sorooshian. Water Resources Research 39(5):DOI: 10.1029/2001WR001183. Grassberger P, Procaccia I. 1983. Measuring the strangeness of strange attractors. Physica D 9: 189–208. Grayson RB, Blöschl G. 2000a. Summary of pattern comparison and concluding remarks. In Spatial Patterns in Catchment Hydrology: Observations and Modeling, RB Grayson, G Blöschl (eds). Cambridge University Press: Cambridge, UK; 355–367. RB Grayson, G Blöschl (eds). 2000b. Spatial Patterns in Catchment Hydrology: Observations and Modeling. Cambridge University Press: Cambridge, UK. Gupta H, Thiemann M, Trosset M, Sorooshian S. 2003. Reply to comment by K. Beven and P. Young on 'Bayesian recursive parameter estimation for hydrologic models'. Water Resources Research 39(5):DOI: 10.1029/2002WR001405. Hsu K, Gupta HV, Sorooshian S. 1995. Artificial neural network modeling of the rainfall-runoff process. Water Resources Research 31(10): 2517–2530. Rodriguez-Iturbe I. 2000. Ecohydrology: a hydrologic perspective of climate–soil–vegetation dynamics. Water Resources Research 36: 3–9. Sivakumar B. 2000. Chaos theory in hydrology: important issues and interpretations. Journal of Hydrology 227(1–4): 1–20. Sivakumar B. 2004. Chaos theory in geophysics: past, present and future. Chaos, Solitons and Fractals 19(2): 441–462. Sivakumar B, Sorooshian S, Gupta HV, Gao X. 2001. A chaotic approach to rainfall disaggregation. Water Resources Research 37(1): 61–72. Sivakumar B, Persson M, Berndtsson R, Uvo CB. 2002. Is correlation dimension a reliable indicator of low-dimensional chaos in short hydrological time series? Water Resources Research 38(2): 3-1–3-8. DOI: 10.1029/2001WR000333. Sivapalan M, Blöschl G, Zhang L, Vertessy R. 2003. Downward approach to hydrological prediction. Hydrological Processes 17: 2101–2111. Woods R. 2002. Seeing catchments with new eyes. Hydrological Processes 16: 1111–1113. Young PC, Parkinson S. 2002. Simplicity out of complexity. In Environmental Foresight and Models: A Manifesto, MB Beck (ed.). Elsevier Science: The Netherlands; 251–294. Citing Literature Volume18, Issue12Special Issue: Water Crises and Hydrology in North China30 August 2004Pages 2349-2353 ReferencesRelatedInformation
Publication Year: 2004
Publication Date: 2004-08-06
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 101
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