A subsequent paper, Modeling persistence in
hydrological time series using fractional differencing (Water Resources, 1984), outlined a method to derive a particular ARFIMA model from the full autocorrelation function of a time series, and generate a corresponding random synthetic series based on the ARFIMA parameters derived from that autocorrelation structure.
Trends in flood and low flow
hydrological time series: report by Cecilia Svensson, Zbigniew W. Kundzewicz and Thomas Maurer.
A survey of current approaches to modelling of
hydrological time - series with respect to climate variability and change by George S. Cavadias; prepared for the World Climate Program - Water, Project A2.
Development, use and application of the HYDROSPECT data analysis system for the detection of changes in
hydrological time series for use in WCP - Water and National Hydrological Services: report by Maciej Radzeijewski and Zbigniew W. Kundzewicz.
Detection of change in world - wide
hydrological time series of maximum annual flow: report by a team of experts under the leadership of Zbigniew W. Kundzewicz.
Yue et al (2002) Intro: «certain
hydrological time - series, such as annual mean and annual minimum streamflows, may frequently display statistically significant serial correlation.
Not exact matches
A common hypothesis maintains that the solar wind over
time has eroded the early Martian atmosphere, causing the greenhouse effect, and thus the
hydrological cycle, to collapse.
The study is the first to use long - term continuous water chemistry data to document
hydrological changes over an enormous geographic area and a long
time span.
When comparing the history of
hydrological changes in the region with artifacts from the Middle Stone Age, the researchers discovered a «striking correspondence between the archaeological record of South Africa and the
timing of the abrupt climate change» as seen in the marine core, the study states.
Using a model incorporating topographical, geochemical and
hydrological parameters, the researchers created a map which, for the first
time, shows the probability of increased arsenic concentrations for the whole of Pakistan.
Kinds of natural disasters Meteorological natural disasters • Lightning • Tornadoes • Hurricanes • Tropical Storms • Blizzards • Hail Climatological natural disasters • Drought • Extreme Heat • Wildfires Geological / geophysical natural disasters • Earthquakes • Volcanoes • Sinkholes
Hydrological natural disasters • Tsunamis • Floods • Limnic eruptions Extraterrestrial natural disasters • Asteroids and Meteorites • Solar storms Summary The Problem You Face - Not having the
time to properly teach scientific literacy (disciplinary literacy) or improve your students reading comprehension and analysis skills.
Kinds of natural disasters Geological / geophysical natural disasters • Earthquakes • Volcanoes • Sinkholes
Hydrological natural disasters • Tsunamis • Floods • Limnic eruptions Extraterrestrial natural disasters • Asteroids and Meteorites • Solar storms Summary The Problem You Face - Not having the
time to properly teach scientific literacy (disciplinary literacy) or improve your students reading comprehension and analysis skills.
After I posted on Twitter to promote a fine
Times story about a Missouri flood victim, a reply * directed my attention to a column by Tony Messenger in the St. Louis Post-Dispatch showing, yet again, how communities ignore inconvenient
hydrological and geophysical realities:
We do not know the
time scale of this migration and we do not have any profile data to show differential
hydrological permeability, but the fact that we find [brine - containing] water specifically in valleys suggests to us that these are sensitive areas in which subsurface flow and
hydrological connectivity are most likely.
One of my main areas of work, and the area where I have published peer reviewed papers is
hydrological modelling; hence the climate impact model which I've tested now in several countries and am just waiting to get
time to write the User Manual.
The Project focused on historical analyses of the
hydrological cycle on a broad range of weather and climate
time scales and placed the NASA EOS suite of observations in a climate context.
I would repeat my rules for
hydrological dialectic here — but somehow I think I would wasting my
time on a irredeemable climate wombat.
Projections of these changes of risk using models in which changes in the background climate are incorporated, and applied using models that do a fair job at the short
time scale (like high resolution weather prediction, or
hydrological discharge, or...) is thus a viable procedure, and does yield added value.
It is well known that the HK (Hurst - Kolmogorov) behaviour, mostly viewed as persistence or clustering of similar events in
time, is relevant to (and virtually omnipresent in) all
hydrological processes (e.g. Montanari et al., 1997; Koutsoyiannis, 2002, 2003; Montanari, 2003).
The variation over
time of the
hydrological variables and temperature are shown below for averages over land areas for NW, NE, SW and SE Europe.
Evaluations such as presented or referenced above show that use of ERA - Interim to provide prompt monthly summaries of several
hydrological variables in terms of anomaly maps and
time series is on quite firm ground for Europe, including sub-divisions between west and east, and north and south.
However, despite all that, the weather systems combined with the
hydrological cycle and the global air circulation guided by the sea surface temperatures do provide reasonable overall stability for eons at a
time by neutralising many potentially disruptive natural and biologically induced variables affecting air temperature.
In Australia we have 20 to 40 year
hydrological regimes in which the average summer rainfall in the wet regime is 4 to 6
times the average in a dry regime.
For a long
time this has seemed to me to be the most obvious source of global
hydrological variability on about a 25 year interval — and these
hydrological variabilities are associated with the most significant surface temperature variations in recent
times — and seemingly with the MWP and LIA.
In addition, despite our effort to characterize and possibly minimize the climatic uncertainty, one should be aware of other sources of uncertainty (e.g., in the
hydrological and hydraulic modeling, in the space -
time discretization, in the impact model, among others) which affect complex modeling framework such as the one presented in this work.
Koutsoyiannis, D., Uncertainty, entropy, scaling and
hydrological stochastics, 2, Time dependence of hydrological processes and time scaling, Hydrological Sciences Journal, 50 (3), 405 &mdash
hydrological stochastics, 2,
Time dependence of hydrological processes and time scaling, Hydrological Sciences Journal, 50 (3), 405 — 426, 2
Time dependence of
hydrological processes and time scaling, Hydrological Sciences Journal, 50 (3), 405 &mdash
hydrological processes and
time scaling, Hydrological Sciences Journal, 50 (3), 405 — 426, 2
time scaling,
Hydrological Sciences Journal, 50 (3), 405 &mdash
Hydrological Sciences Journal, 50 (3), 405 — 426, 2005.
In Guwahati there is request for a
hydrological information system (HIS) to be installed for generating real
time data for flood forecasting.
Definitely yes, at some point in the future (billions of years), something not experienced on Earth will be affecting the climate, but over the relatively shorter - term, the same physical mechanisms control the climate, just playing on variations on the combinations,
timing, and intensity of those mechanisms: namely: Milankovitch cycles, GHG concentrations, ocean cycles,
hydrological cycle, volcanic activity, solar cycles, biosphere interactions, location of continents, etc..
Timing of human - induced climate change emergence from internal climate variability for
hydrological impact studies
It mimics the natural
hydrological cycle in order to both humidify the conditions in the greenhouse, therefore reducing the plants» water consumption, and at the same
time creating fresh water through condensation.
The vast areas of irrigation and dams and levees add to the
hydrological cycle leading to regional moderation (lower daytime highs, higher night
time lows).
The biotic pump concept (and more generally the theory of the biotic regulation of the environment of which the former is a part) for the first
time quantifies the stabilizing environmental function of natural ecosystems with respect to the
hydrological cycle and pinpoints the physical mechanism that is responsible for this function.