Articles | Volume 11, issue 2
https://doi.org/10.5194/hess-11-721-2007
© Author(s) 2007. 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/hess-11-721-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
17 Jan 2007
Modeling geophysical complexity: a case for geometric determinism
C. E. Puente
Department of Land, Air & Water Resources, University of California, Davis, USA
B. Sivakumar
Griffith School of Engineering, Griffith University, Nathan, QLD 4111, Australia
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Cited
18 citations as recorded by crossref.
- Encoding hydrologic information via a fractal geometric approach and its extensions A. Cortis et al. https://doi.org/10.1007/s00477-009-0349-4
- CLOSING THE LOOP WITH FRACTAL INTERPOLATING FUNCTIONS FOR GEOPHYSICAL ENCODING H. HUANG et al. https://doi.org/10.1142/S0218348X12500247
- Nonlinear extensions of a fractal–multifractal approach for environmental modeling A. Cortis et al. https://doi.org/10.1007/s00477-008-0272-0
- Complexity‐based robust hydrologic prediction S. Pande et al. https://doi.org/10.1029/2008WR007524
- Encoding daily rainfall records via adaptations of the fractal multifractal method M. Maskey et al. https://doi.org/10.1007/s00477-015-1201-7
- Can a simple stochastic model generate rich patterns of rainfall events? S. Papalexiou et al. https://doi.org/10.1016/j.jhydrol.2011.10.008
- Geometric harnessing of precipitation records: reexamining four storms from Iowa City H. Huang et al. https://doi.org/10.1007/s00477-012-0617-6
- Hydrological Interpretation of a Statistical Measure of Basin Complexity S. Pande & M. Moayeri https://doi.org/10.1029/2018WR022675
- An effective inversion strategy for fractal–multifractal encoding of a storm in Boston H. Huang et al. https://doi.org/10.1016/j.jhydrol.2013.05.015
- BELLS GALORE: OSCILLATIONS AND CIRCLE-MAP DYNAMICS FROM SPACE-FILLING FRACTAL FUNCTIONS C. PUENTE et al. https://doi.org/10.1142/S0218348X08004083
- Complexity and chaotic behavior of the U.S. Rivers and estimation of their prediction horizon D. Mihailović et al. https://doi.org/10.1016/j.jhydrol.2023.129730
- Deterministic Simulation of Mildly Intermittent Hydrologic Records M. Maskey et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001531
- A physical interpretation of the deterministic fractal–multifractal method as a realization of a generalized multiplicative cascade A. Cortis et al. https://doi.org/10.1007/s00477-013-0822-y
- Regime-related regularities in river flow revealed by Aksentijevic-Gibson complexity A. Aksentijevic et al. https://doi.org/10.1016/j.jhydrol.2021.126364
- A comparison of fractal-multifractal techniques for encoding streamflow records M. Maskey et al. https://doi.org/10.1016/j.jhydrol.2016.09.029
- No monsters, no miracles: in nonlinear sciences hydrology is not an outlier! D. Schertzer et al. https://doi.org/10.1080/02626667.2010.505173
- Temporal downscaling rainfall and streamflow records through a deterministic fractal geometric approach M. Maskey et al. https://doi.org/10.1016/j.jhydrol.2018.09.014
- Deterministic simulation of highly intermittent hydrologic time series M. Maskey et al. https://doi.org/10.1007/s00477-016-1343-2
18 citations as recorded by crossref.
- Encoding hydrologic information via a fractal geometric approach and its extensions A. Cortis et al. https://doi.org/10.1007/s00477-009-0349-4
- CLOSING THE LOOP WITH FRACTAL INTERPOLATING FUNCTIONS FOR GEOPHYSICAL ENCODING H. HUANG et al. https://doi.org/10.1142/S0218348X12500247
- Nonlinear extensions of a fractal–multifractal approach for environmental modeling A. Cortis et al. https://doi.org/10.1007/s00477-008-0272-0
- Complexity‐based robust hydrologic prediction S. Pande et al. https://doi.org/10.1029/2008WR007524
- Encoding daily rainfall records via adaptations of the fractal multifractal method M. Maskey et al. https://doi.org/10.1007/s00477-015-1201-7
- Can a simple stochastic model generate rich patterns of rainfall events? S. Papalexiou et al. https://doi.org/10.1016/j.jhydrol.2011.10.008
- Geometric harnessing of precipitation records: reexamining four storms from Iowa City H. Huang et al. https://doi.org/10.1007/s00477-012-0617-6
- Hydrological Interpretation of a Statistical Measure of Basin Complexity S. Pande & M. Moayeri https://doi.org/10.1029/2018WR022675
- An effective inversion strategy for fractal–multifractal encoding of a storm in Boston H. Huang et al. https://doi.org/10.1016/j.jhydrol.2013.05.015
- BELLS GALORE: OSCILLATIONS AND CIRCLE-MAP DYNAMICS FROM SPACE-FILLING FRACTAL FUNCTIONS C. PUENTE et al. https://doi.org/10.1142/S0218348X08004083
- Complexity and chaotic behavior of the U.S. Rivers and estimation of their prediction horizon D. Mihailović et al. https://doi.org/10.1016/j.jhydrol.2023.129730
- Deterministic Simulation of Mildly Intermittent Hydrologic Records M. Maskey et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001531
- A physical interpretation of the deterministic fractal–multifractal method as a realization of a generalized multiplicative cascade A. Cortis et al. https://doi.org/10.1007/s00477-013-0822-y
- Regime-related regularities in river flow revealed by Aksentijevic-Gibson complexity A. Aksentijevic et al. https://doi.org/10.1016/j.jhydrol.2021.126364
- A comparison of fractal-multifractal techniques for encoding streamflow records M. Maskey et al. https://doi.org/10.1016/j.jhydrol.2016.09.029
- No monsters, no miracles: in nonlinear sciences hydrology is not an outlier! D. Schertzer et al. https://doi.org/10.1080/02626667.2010.505173
- Temporal downscaling rainfall and streamflow records through a deterministic fractal geometric approach M. Maskey et al. https://doi.org/10.1016/j.jhydrol.2018.09.014
- Deterministic simulation of highly intermittent hydrologic time series M. Maskey et al. https://doi.org/10.1007/s00477-016-1343-2
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