D. Koutsoyiannis, A random walk on water (Henry Darcy Medal Lecture), European Geosciences Union General Assembly 2009, Geophysical Research Abstracts, Vol. 11, Vienna, 14033, doi:10.13140/RG.2.1.2139.4800, European Geosciences Union, 2009.
According to the traditional notion of randomness and uncertainty, natural phenomena are separated into two mutually exclusive components, random or stochastic, and deterministic. Within this dichotomous logic, the deterministic part supposedly represents cause-effect relationships and, thus, is physics and science (the “good”), and randomness has little relationship with science and no relationship with understanding (the “evil”). We can argue that that such views should be reconsidered by admitting that uncertainty is an intrinsic property of nature; that causality implies dependence of natural processes in time, thus suggesting predictability; and that even the tiniest uncertainty (e.g., in initial conditions) may result in unpredictability after a certain time horizon. With these premises it is possible to shape a consistent stochastic representation of natural processes. In such a representation, predictability (suggested by deterministic laws) and unpredictability (randomness) coexist and are not separable or additive components. Deciding which of the two dominates is simply a matter of specifying the time horizon of the prediction.
See also: http://dx.doi.org/10.13140/RG.2.1.2139.4800
The Henry Darcy Medal is awarded by the European Geosciences Union to individuals in recognition of their outstanding scientific contributions in water resources research and water resources engineering and management.
EGU conference programme: http://meetingorganizer.copernicus.org/EGU2009/oral_programme/1530
Other works that reference this work (this list might be obsolete):
|1.||Reichl, J. P. C., A. W. Western, N. R. McIntyre, and F. H. S. Chiew, Optimization of a similarity measure for estimating ungauged streamflow, Water Resources Research, 45, Art. No. W10423, doi:10.1029/2008WR007248, 2009.|
Tagged under: Climate stochastics, Stochastics, Uncertainty