2013
DOI: 10.1080/02626667.2013.804626
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Hydrology and change

Abstract: Since "panta rhei" was pronounced by Heraclitus, hydrology and the objects it studies, such as rivers and lakes, have offered grounds to observe and understand change and flux. Change occurs on all time scales, from minute to geological, but our limited senses and life span, as well as the short time window of instrumental observations, restrict our perception to the most apparent daily to yearly variations. As a result, our typical modelling practices assume that natural changes are just a short-term "noise" … Show more

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Cited by 106 publications
(79 citation statements)
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References 33 publications
(25 reference statements)
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“…In order to overcome these drawbacks, some extensions have been proposed, e.g. the HK process with low scale smoothing [55], a hybrid HK process [54], and gHK. In particular, the continuous gHK is a three-parameter process defined by the autocovariance function [17]:…”
Section: Methodsmentioning
confidence: 99%
“…In order to overcome these drawbacks, some extensions have been proposed, e.g. the HK process with low scale smoothing [55], a hybrid HK process [54], and gHK. In particular, the continuous gHK is a three-parameter process defined by the autocovariance function [17]:…”
Section: Methodsmentioning
confidence: 99%
“…The conclusions are, to some extent, subject to uncertainties and error propagation; it is important to notice that future states are much more uncertain and unpredictable in long time horizons that are implied by standard approaches [49]. Existing limitations of modelling coupled complex climate-hydrologic systems are clear in this study, and future work is planned to address them.…”
Section: Discussionmentioning
confidence: 98%
“…For details on computing the above astronomic variables, the reader may refer to the literature (e.g., [3]). While for a given location the extraterrestrial radiation is a highly regular and fully predictable variable, thus only explaining the periodicity of PET, temperature exhibits quite irregular variability, thus explaining the fluctuations of PET, which is key component of the changing hydrological cycle, at all temporal scales, from daily to annual and even larger ones, i.e., overannual [36]. Following FAO recommendations, we can also take advantage from minimum and maximum daily temperature data, thus estimating the temperature term by the average:…”
Section: The Parametric Formulamentioning
confidence: 99%