Global gridded precipitations have been extensively considered as the input of hydrological models for runoff simulations around world. However, limitations hydrologic and inaccuracies precipitation datasets could result in large uncertainty forecasts water resource estimations. Therefore, it is great importance to investigate value a weighted combination driven by different datasets. In additi...

In this article we prove the substantiation of the method of averaging for the fuzzy integrodifferential inclusions with small parameter. Thereby we expand a circle of systems to which it is possible to apply Krylov-Bogolyubov method of averaging.

A method of signal waveform estimation from an ensemble of jittered noisy measurements is presented. The method uses group delay functions to perform the ensemble averaging and thus overcomes the difficulty of computing the unwrapped phase function before averaging. We propose a new technique, called group delay processing, to estimate the signal waveform if only a single noisy measurement is a...

[1] When conducting model averaging for assessing groundwater conceptual model uncertainty, the averaging weights are often evaluated using model selection criteria such as AIC, AICc, BIC, and KIC (Akaike Information Criterion, Corrected Akaike Information Criterion, Bayesian Information Criterion, and Kashyap Information Criterion, respectively). However, this method often leads to an unrealis...

Interlacing causes complications in many image processing tasks. Theoretically, interlacing can be perfectly undone, but there remain a few difficulties in de-interlacing. Aliasing is an inherent artifact due to the interlaced sampling of video data. Interlacing also causes the loss of vertical resolution in the video. Motion in the video scenes need to be modelled accurately for the removal of...