Russian Meteorology and Hydrology最新文献_第4页

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

IF 0.7 4区地球科学

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

{"title":"Satellite Data Processing for Hydrometeorologal Research with the Use of Neural Network Technologies: The Approaches Used at Planeta State Research Center on Space Hydrometeorology","authors":"V. D. Bloshchinskiy, A. I. Andreev, L. S. Kramareva, A. N. Davidenko","doi":"10.3103/s1068373924040034","DOIUrl":"https://doi.org/10.3103/s1068373924040034","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>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.</p>","PeriodicalId":49581,"journal":{"name":"Russian Meteorology and Hydrology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Methods for Calculating Accumulated Degree-days from Monthly Mean Data and Constructing the Global Maps for Ecological and Geographical Modeling 从月平均数据中计算累计度日并构建全球地图以用于生态和地理建模的方法

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-05-28 DOI: 10.3103/s1068373924030075

A. N. Afonin, E. A. Milyutina, D. L. Musolin

引用次数: 0

Ozone Content over the Russian Federation in 2023 2023 年俄罗斯联邦上空的臭氧含量

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-05-28 DOI: 10.3103/s1068373924030117

N. S. Ivanova, I. N. Kuznetsova, E. A. Lezina

引用次数: 0

Parameterizing Heat and Moisture Exchange in a Regional Thermodynamic Model of Sea Ice 海冰区域热力学模型中的热量和水分交换参数化

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-05-28 DOI: 10.3103/s1068373924030038

D. D. Zav’yalov, T. A. Solomakha

引用次数: 0

Assessment of the Reproducibility of Oceanographic Fields in Retrospective Forecasts Using the INM-CM5 Earth System Model 利用 INM-CM5 地球系统模式评估回顾性预报中海洋学场的再现性

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-05-28 DOI: 10.3103/s1068373924030014

Yu. D. Resnyanskii, A. A. Zelen’ko, B. S. Strukov, V. N. Stepanov, V. M. Khan, V. V. Vorob’eva, M. A. Tarasevich, A. S. Gritsun, E. M. Volodin

引用次数: 0

Trends in the Ionic Composition of Lake Ladoga 拉多加湖离子成分的变化趋势

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-05-28 DOI: 10.3103/s1068373924030087

M. A. Guseva, V. Yu. Shmakova

{"title":"Trends in the Ionic Composition of Lake Ladoga","authors":"M. A. Guseva, V. Yu. Shmakova","doi":"10.3103/s1068373924030087","DOIUrl":"https://doi.org/10.3103/s1068373924030087","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The sum of ions of the basic Lake Ladoga water mass has varied quite significantly from 55.6 to 71.6 mg/L over the past 60 years. In the present paper, separate periods of the mineralization growth are identified. It is shown that the change in the mineralization of Lake Ladoga has been always accompanied by a significant change in the ratio of basic ion concentrations. Any significant trends in the total mineralization of Lake Ladoga over the analyzed period have not been identified, but periods of the growth and decrease in the number of ions have been revealed. Until 1998, the periods of increased mineralization, as a rule, were accompanied by an increase in concentrations of <span>(rm SO_4^{2-})</span> and <span>(rm Cl^{-})</span>, most likely coming from the catchment area due to industrial and household pollution. During 2009–2019, the mineralization was growing mainly due to an increase in the absolute and relative concentrations of <span>(rm HCO_3^-)</span>. At the same time, the concentration of dissolved CO<sub>2</sub> in the main water mass of the lake also was increasing (and, consequently, pH was decreasing). Thus, the changes in the bicarbonate ion concentration in the water of Lake Ladoga may be largely determined by an increase in its inflow from the catchment area, whose possible reason is the enhancement of the chemical weathering of carbonate rocks due to the increasing concentrations of dissolved <span>(rm CO_2)</span> in the water.</p>","PeriodicalId":49581,"journal":{"name":"Russian Meteorology and Hydrology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141170756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Seasonal and Interannual Variations in the Greenland Sea Ice Age Composition in the Winter Period 冬季格陵兰海冰期构成的季节和年际变化

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-05-28 DOI: 10.3103/s1068373924030051

E. U. Mironov, E. S. Egorova

引用次数: 0

Formation of the Chemical Composition of Water in Northern Baikal in the Zone of Mixing with the Water of Its Tributaries 贝加尔湖北部与其支流水混合区水的化学成分的形成

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-05-28 DOI: 10.3103/s1068373924030099

I. V. Tomberg, L. M. Sorokovikova, V. N. Sinyukovich, A. Yu. Bessudova

引用次数: 0

Relation of Sea Waves to the Atmospheric Cyclone Activity in the Northern Hemisphere according to the ERA5 Reanalysis Data 根据ERA5再分析数据得出的北半球海浪与大气旋风活动的关系

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-05-28 DOI: 10.3103/s1068373924030026

M. G. Akperov, F. N. Gippius, I. I. Mokhov

引用次数: 0

Formation of Positive Sea Surface Temperature Anomalies in the Black Sea 黑海海面温度正异常的形成

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-05-28 DOI: 10.3103/s106837392403004x

A. B. Polonskii, A. N. Serebrennikov

{"title":"Formation of Positive Sea Surface Temperature Anomalies in the Black Sea","authors":"A. B. Polonskii, A. N. Serebrennikov","doi":"10.3103/s106837392403004x","DOIUrl":"https://doi.org/10.3103/s106837392403004x","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Based on the satellite data at the points of a high-resolution regular grid for the period from 2008 to 2021, positive anomalies of the sea surface temperature (SST) in the northern Black Sea and off the southwestern coast of Crimea have been identified. It has been shown that there are vast areas with an exceeding of SST over the mean for the measurement period up to 4–5 and 5–6°C and a monthly total area (for example, in May 2018) about 200000 and 100000 km<sup>2</sup>, respectively, in the northern Black Sea. The analysis of available satellite data has led to the conclusion that warm SST anomalies occur mainly in May and October. The maximum (over the entire analyzed period) warm SST anomaly (exceeding 5°C) was reached in May 2012, when its area was 200000 km<sup>2</sup>. The spatial structure and some statistical characteristics of the identified SST anomalies have been described and analyzed. It has been shown that the typical frequency of vast SST anomalies is at least one case per several years, while they are generated by abnormal heat fluxes on the sea surface with the inflow of anomalously warm river water in shallow areas of the northwestern shelf and spread to the open sea areas due to the horizontal advection of predominantly wind-driven origin. The average annual SST anomalies off the northwestern coast of Crimea and in the northern Black Sea correlate at a level of 0.97.</p>","PeriodicalId":49581,"journal":{"name":"Russian Meteorology and Hydrology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141170778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0