The case is made that the hydrological sciences are data limited and that future progress in understanding hydrological processes is hampered by the lack of adequate data. The future applications of remote sensing to hydrology should provide new types of data that enable hydrologists to address the previously unsolved questions. Le futur des applications hydrologiques de la télédétection Résumé...

However, hydrologists and ecologists are still woefully incapable of answering the question, “How much hydrologic alteration is too much for an aquatic or riparian ecosystem?” This is not to say that we haven’t learned a great deal about the influence of hydrologic variation and extreme events on species and natural communities or key ecosystem processes such as nutrient transport and cycling. ...

Evapotranspiration (ET) is important to hydrologists as well as regional planners. Methods for the calculation of ET require land use as well as weather and solar energy inputs. In this paper we present an ArcMap toolbar for the calculation of spatially distributed ET from ground based weather data. The toolbar provides functionality to interpolate weather data over the region of interest and c...

Monthly gravity field estimates made by the twin Gravity Recovery and Climate Experiment (GRACE) satellites have a geoid height accuracy of 2 to 3 millimeters at a spatial resolution as small as 400 kilometers. The annual cycle in the geoid variations, up to 10 millimeters in some regions, peaked predominantly in the spring and fall seasons. Geoid variations observed over South America that can...

Abstract. The “Digital Earth” (DE) metaphor is very useful for both end users and hydrological modelers (i.e., the coders). In this opinion paper, we analyze different categories of models with view making them part Digital eARth Twin Hydrology systems (DARTHs). We stress idea that DARTHs are not models, rather they an appropriate infrastructure hosts (certain types of) provides some basic serv...

A filtered Poisson process is proposed as a model for river flows. With the help of real-life data, parameters are estimated. Mathematical formulae derived in order to estimate various return periods river. An application two rivers shows that point estimates very close corresponding values computed by hydrologists, based on historical data. Moreover, modifying model, we can see potential effec...

Abstract To describe process knowledge at the watershed scale, hydrologists commonly refer to a ‘perceptual model’, an expert summary of and its runoff processes often supported by field observations. Perceptual models are presented as schematic figure, although such figure will necessarily simplify hydrologist's complex mental model. In this paper, our aim was understand what constitutes visua...

Since its public release in late 2022, the artificial intelligence (AI) tool ChatGPT has generated considerable excitement and consternation. Many scientists, including hydrologists, view this others like it as threats, while dismiss them irrelevant distractions. Although capability of technology to ‘do’ hydrological research is lacking, AI tools present significant opportunities—with caveats—f...

In the past decade, difficulties encountered in reproducing the results of a cancer study at Duke University resulted in a scandal and an investigation which concluded that tools used for data management, analysis, and modeling were inappropriate for the documentation of the study, let alone the reproduction of the results. New protocols were developed which require that data analysis and model...