Russian Meteorology and Hydrology最新文献_第2页

Variation Patterns of CO2 and CH4 according to the Measurements in the Surface Atmosphere over Urban and Suburban Areas in 2021–2022 根据 2021-2022 年城市和郊区地表大气测量结果得出的二氧化碳和甲烷变化模式

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-07-26 DOI: 10.3103/s1068373924050091

K. L. Antonov, E. A. Gulyaev, Yu. I. Markelov, V. A. Poddubny

{"title":"Variation Patterns of CO2 and CH4 according to the Measurements in the Surface Atmosphere over Urban and Suburban Areas in 2021–2022","authors":"K. L. Antonov, E. A. Gulyaev, Yu. I. Markelov, V. A. Poddubny","doi":"10.3103/s1068373924050091","DOIUrl":"https://doi.org/10.3103/s1068373924050091","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The patterns and factors of changes in CO<sub>2</sub> and CH<sub>4</sub> concentrations in the surface atmosphere of an urbanized and suburban environment were analyzed based on the results of the synchronous measurements in Yekaterinburg and the Kourovka Astronomical Observatory (KAO) in September 2021–August 2022. On average, the maximum levels of CO<sub>2</sub> in Yekaterinburg (443.2 ppm) were shown to be higher than in KAO (432.4 ppm) and were reached in January. The minima, on the contrary, were lower in the city than in the suburban area (405.4 ppm in July in Yekaterinburg against 412.7 ppm in September in KAO). Enhanced CO<sub>2</sub> levels in the warm season in KAO were caused by very high nighttime concentrations (up to 500 ppm), which was not observed in the surface urban atmosphere. For CH<sub>4</sub>, the seasonal dynamics in the city and in KAO was similar: the maximum levels were reached in January (2.154 and 2.076 ppm), and the minima were registered in June (1.998 and 1.971 ppm). The mutual influence of the territories under consideration was assessed to be moderate. The results of the study can be used to develop a technology for assessing the carbon balances on a regional scale, which is the main task of the Carbon Supersites program in the Urals.</p>","PeriodicalId":49581,"journal":{"name":"Russian Meteorology and Hydrology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141771334","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

Influence of External Parameters on Evapotranspiration in the INM RAS–MSU Land Surface Model 外部参数对 INM RAS-MSU 陆面模型蒸散量的影响

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-07-26 DOI: 10.3103/s1068373924050054

A. I. Medvedev, V. M. Stepanenko, V. Yu. Bogomolov

引用次数: 0

Forecast Modeling of Invasive and Climate-driven Scenarios of Pest Outbreaks 入侵和气候驱动的害虫爆发情景预测模型

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-07-26 DOI: 10.3103/s106837392405008x

A. Yu. Perevaryukha

{"title":"Forecast Modeling of Invasive and Climate-driven Scenarios of Pest Outbreaks","authors":"A. Yu. Perevaryukha","doi":"10.3103/s106837392405008x","DOIUrl":"https://doi.org/10.3103/s106837392405008x","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The climate change observed in the zone of boreal forests of the Holarctic since the end of the 20th century initiates the effect of expanding the boundaries of biological species ranges. Climate-driven invasive processes differ in dynamics. In some situations, there are population outbreaks of unwanted species. In addition to the climatic factor, an important aspect is the response of a biotic environment. Special methods are required to predict rapid invasions that can cause extreme changes. The reproductive potential of pests often turns out to be excessive due to warming climate and favorable conditions. Aggressive invasions often develop as oscillating processes that transform when the species adapts to the environment and fades when the autochthonous biota adapts to a new species. Not only new pests, but also the enemies of the main enemies of ordinary pests have become harmful invaders. Computational scenario models of invasions have been developed based on a logically expandable hybrid structure of equations that take into account delayed adaptation, which is manifested depending on climatic factors as an invasion outbreak develops. The scenarios indicate the series of peaks with fading activity after a primary outbreak and make it possible to evaluate the factors that cause repeated activity of a population after a depression when the invasion of a hyperparasite turns out to be essential.</p>","PeriodicalId":49581,"journal":{"name":"Russian Meteorology and Hydrology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141771250","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

A Physical Mechanism-based Scheme for Parameterizing the Fractional Vegetation Cover 基于物理机制的植被覆盖率参数化方案

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-07-26 DOI: 10.3103/s1068373924050066

Ch. Meng, Y. Gu, H. Li, H. Jin, G. Zhang, J. Cui

引用次数: 0

Light Climate in Moscow 莫斯科的光照气候

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-07-26 DOI: 10.3103/s1068373924050042

E. V. Gorbarenko, N. A. Bunina

引用次数: 0

Spatiotemporal Changes in Cyclogenesis and Precipitation Regime over the Euro-Atlantic Sector in 1979–2019 1979-2019年欧洲-大西洋地区气旋生成和降水制度的时空变化

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-07-26 DOI: 10.3103/s1068373924050029

I. S. Danilovich, M. G. Akperov, A. V. Beganskii, M. A. Dembitskaya

{"title":"Spatiotemporal Changes in Cyclogenesis and Precipitation Regime over the Euro-Atlantic Sector in 1979–2019","authors":"I. S. Danilovich, M. G. Akperov, A. V. Beganskii, M. A. Dembitskaya","doi":"10.3103/s1068373924050029","DOIUrl":"https://doi.org/10.3103/s1068373924050029","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The study presents the classification of cyclones according to the region of origin and track in the Euro-Atlantic sector. The cyclones have been identified according to the ERA5 reanalysis data. Their seasonal frequency, travel speed, size, and central pressure have been quantified, and their trends have been revealed. Mean and maximum total precipitation associated with the distinguished types of cyclones over the territory of Europe is determined. It is shown that the frequency of the North Atlantic cyclones in the recent 40 years has decreased in winter, summer, and autumn and increased in spring. It has been revealed, that the frequency of the southern cyclones insignificantly decreases in summer and increases in winter. A decrease in minimum central pressure for some types of the North Atlantic cyclones occurs in winter and summer. There is an increase in maximum total precipitation in winter due to the North Atlantic cyclones and in summer due to the southern cyclones. The number of days with cyclonic precipitation decreases for all types of cyclones.</p>","PeriodicalId":49581,"journal":{"name":"Russian Meteorology and Hydrology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141771247","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

Statistical Correction of the SL-AV Model Long-term Forecasts of Surface Air Temperature for the Territory of Northern Eurasia SL-AV 模型对欧亚大陆北部地区地表气温长期预测的统计修正

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-07-26 DOI: 10.3103/s1068373924050017

R. M. Vil’fand, S. V. Emelina, V. A. Tischenko, M. A. Tolstykh, V. M. Khan

引用次数: 0

Analysis of Average Daily Temperature and Precipitation on the Territory of Belarus Using Quantile Regression 利用定量回归分析白俄罗斯境内的日平均气温和降水量

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-07-26 DOI: 10.3103/s1068373924050030

V. F. Loginov, M. A. Khitrykau

引用次数: 0

Effect of Decision Tree in the ANFIS Models: An Example of Completing Missing Data 决策树在 ANFIS 模型中的作用：缺失数据补全实例

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-07-26 DOI: 10.3103/s1068373924050078

K. Saplioglu, T. S. Kucukerdem Ozturk

{"title":"Effect of Decision Tree in the ANFIS Models: An Example of Completing Missing Data","authors":"K. Saplioglu, T. S. Kucukerdem Ozturk","doi":"10.3103/s1068373924050078","DOIUrl":"https://doi.org/10.3103/s1068373924050078","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Missing data in water resources studies prevent planning. For this reason, data estimation studies are carried out. In this study, ANFIS (Adaptive Neural Fuzzy Inference System) was used to complete the missing data. At the study area, the Yesilirmak Basin located in the north of Turkey, input variables from seven stations and output variable from one station were determined. In the research, 80% (378 months of data) of 504 months of the flow data between 1969 and 2011 was used in the training phase and 20% (126 months of data) was employed in the testing one. The decision tree was used instead of the trial and error method in the selection of input variables and determining the number of membership functions in ANFIS models. It was concluded that the ANFIS model established with the information obtained from the decision tree is successful compared to the randomly established ANFIS models. Using the decision tree before ANFIS models are created will not only minimize the time spent on the model development, but also prevent the best of the possible models from being overlooked.</p>","PeriodicalId":49581,"journal":{"name":"Russian Meteorology and Hydrology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141785075","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

A Method for Object-oriented Detection of Deep Convection from Geostationary Satellite Imagery Using Machine Learning 利用机器学习从地球静止卫星图像中探测面向对象的深对流的方法

IF 0.7 4区地球科学

Russian Meteorology and Hydrology Pub Date : 2024-06-27 DOI: 10.3103/s1068373924040071

A. E. Shishov

引用次数: 0