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

IF 1.4 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Russian Meteorology and Hydrology Pub Date : 2024-06-27 DOI:10.3103/s1068373924040034

V. D. Bloshchinskiy, A. I. Andreev, L. S. Kramareva, A. N. Davidenko

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Abstract

The paper presents an experience of using artificial intelligence techniques, in particular, neural networks to solve relevant problems of hydrometeorology. The results of the investigations at the Planeta State Research Center on Space Hydrometeorology in detecting clouds and snow cover from the Himawari, Electro-L, and Meteor-M satellite data, as well as on classifying cloud types according to the AHI instrument data (Himawari-8) are reported. The findings of the work on retrieving values of total ozone and water vapor according to the infrared sensing devices are demonstrated. The work on detecting the boundaries of the ice cover and river floods from medium- and high-resolution satellite instruments, as well as the technologies for temperature and humidity sensing in the microwave spectrum are considered. The studies have shown that the use of neural network technologies provides the required accuracy of the received hydrometeorological information and high speed of processing incoming data.

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利用神经网络技术为水文气象研究处理卫星数据：Planeta 国家空间水文气象研究中心使用的方法

摘要本文介绍了使用人工智能技术，特别是神经网络解决相关水文气象问题的经验。报告了 Planeta 国家空间水文气象研究中心从 Himawari、Electro-L 和 Meteor-M 卫星数据中探测云和雪覆盖以及根据 AHI 仪器数据（Himawari-8）对云类型进行分类的研究结果。展示了根据红外传感设备检索臭氧和水蒸气总量值的工作成果。审议了利用中高分辨率卫星仪器探测冰盖边界和河流洪水的工作，以及微波频谱温湿度传感技术。研究表明，使用神经网络技术可提供所需的接收水文气象信息的准确性和处理传入数据的高速度。

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来源期刊

Russian Meteorology and Hydrology METEOROLOGY & ATMOSPHERIC SCIENCES-

CiteScore

1.70

自引率

28.60%

发文量

审稿时长

4-8 weeks

期刊介绍： Russian Meteorology and Hydrology is a peer reviewed journal that covers topical issues of hydrometeorological science and practice: methods of forecasting weather and hydrological phenomena, climate monitoring issues, environmental pollution, space hydrometeorology, agrometeorology.