SOFTWARE PROCESSING OF SATELLITE IMAGES OF FIELDS OF NOCTILUCENT CLOUDS TO IDENTIFY THEIR STRUCTURE

2025

Полный текст Открытый доступ: Hybrid Метаданные (CSL-JSON)
DOI 10.52167/1609-1817-2025-138-3-285-293
Достоверность данных 85 высокая
Как считается эта оценка

Складывается из проверяемых признаков самой записи: есть ли у статьи DOI, сколько независимых источников подтвердили её данные, заполнены ли обязательные поля и насколько свежо последнее подтверждение. Снижают оценку расхождения между источниками и отсутствие идентификатора. Значение от 80 означает, что запись опубликована без дополнительной проверки; от 60 до 79 — что она опубликована с пониженной достоверностью и ручная проверка желательна. Запись, выверенную редактором вручную, пересчёт не опускает ниже 90. Это оценка наших данных о статье, а не оценка самой статьи.

Аннотация

Noctilucent clouds, which develop in the summer months mainly over the polar regions of our planet, are often observed in temperate latitudes. Moreover, it is these parts of the global field of mesospheric clouds that determine their total area and spatial configuration. As has been shown in a number of previous works, the features of the seasonal and interseasonal evolution of mesospheric cloud fields are largely determined by meteorological processes in the mesosphere. The influence of geophysical fields on their development is also possible. The work describes the stages of developing a methodology that allows us to move from studying the integral characteristics of mesospheric clouds to its differential characteristics. At the initial stage, it is planned to search for the presence of a longitude structure of such clouds. To do this, 30-degree longitudinal sectors are identified on satellite images of noctilucent clouds fields, within which the cloud area is calculated. Solving this problem requires the development of specialized software. A significant part of the work is devoted to the describing of the algorithm for constructing the program, choosing a programming language and implementing the task. The effectiveness of the newly created software product is compared with previously implemented approaches. It is shown, that the created technique for processing satellite images will make it possible to identify longitudinal inhomogeneities in the structure of noctilucent clouds global fields with significantly greater accuracy.