The paper is a continuation of the works [1–3] where complex information system for
organization of the input data for the models of convective clouds is presented. In the …

In the present work we use the technologies of machine learning and OLAP for more
accurate forecasting of such phenomena as a thunderstorm, hail, heavy rain, using the …

The paper describes the information system that integrates heterogeneous meteorological
information necessary for the verification of the numerical models of convective clouds. Data …

5-D convective cloud model with the detailed description of microphysical processes
(including 8 categories of cloud particles) is presented in the article. The model is developed …

This paper is concerned with the technology of meteorological data consolidation. The
technology is used to create one of the components of the virtual environment for forecasting …

The paper is a continuation of the works [,,–] where has been shown how the technologies of
machine learning and online analytical processing (OLAP) could be used in conjunction …

Data preprocessing is an important stage in machine learning. The use of qualitatively
prepared data increases the accuracy of predictions, even with simple models. The …

The authors propose a boosted k-nearest neighbour algorithm for numerical forecasting of
dangerous convective phenomena. The algorithm is applied for processing the output data …

Статья посвящена технологии консолидации метеорологических данных. Технология
используется для создания одного из компонентов виртуальной среды для …

The paper explores the possibility of forecasting such dangerous meteorological
phenomena as a thunderstorm by applying five types of neural network to the output data of …