Contents

Russian Meteorology and Hydrology

Vol. 49, No. 4, 2024

Artificial Intelligence and Its Application in Numerical Weather Prediction

S. A. Soldatenko p. 283  abstract

Preliminary Data Processing of the MSU-GS/VE Device aboard the Arktika-M No. 1 Highly Elliptical Satellite Using Machine Learning Methods

V. V. Asmus, V. D. Bloshchinskiy, L. S. Kramareva, M. O. Kuchma, and A. A. Filei p. 299  abstract

Satellite Data Processing for Hydrometeorologal Research with the Use of Neural Network Technologies: The Approaches Used at Planeta State Research Center on Space Hydrometeorology

V. D. Bloshchinskiy, A. I. Andreev, L. S. Kramareva, and A. N. Davidenko p. 304  abstract

Application of Convolutional Neural Networks for Detecting Sea Ice Leads in the Laptev Sea with Landsat-8 Satellite Imagery

K. G. Kortikova, and I. A. Bychkova p. 313  abstract

Application of Deep Neural Networks for Detecting Probable Areas of Precipitation and Thunderstorms

V. V. Chursin, and A. A. Kostornaya p. 319  abstract

Application of Physical and Neural Network Methods in Operational Water Surface Detection

M. O. Kuchma p. 328  abstract

A Method for Object-oriented Detection of Deep Convection from Geostationary Satellite Imagery Using Machine Learning

A. E. Shishov p. 336  abstract

Using the Neural Network Technique for Lead Detection in Radar Images of Arctic Sea Ice

N. Yu. Zakhvatkina, I. A. Bychkova, and V. G. Smirnov p. 346  abstract

Using the Methods of Neural Network Learning for Peak Water Level Prediction: A Case Study for the Rivers in the Dvina-Pechora Basin

A. E. Sumachev, L. S. Banshchikova, and S. A. Griga p. 354  abstract

Using Machine Learning Methods to Develop an Algorithm for Recognizing a Risk of Waterspout Occurrence off the Black Sea Coast of Russia

O. V. Kalmykova p. 363  abstract

Assessment of Atmospheric Ozone from Reanalysis and Ground-based Measurements in the Baikal Region

A. M. Smetanina, S. A. Gromov, V. A. Obolkin, T. V. Khodzher, and O. I. Khuriganova p. 370  abstract

A Method for Predicting Fog and Identifying Its Type Based on Neural Networks for the Saint Petersburg (Pulkovo) Airfield

P. V. Kulizhskaya p. 375  abstract