HYDROMETEOROLOGY AND ECOLOGY. PROCEEDINGS OF THE RUSSIAN STATE HYDROMETEOROLOGICAL UNIVERSITY最新文献

{"title":"Trophic Classification of the South Ural water bodies \u0000by multivariate statistics","authors":"Alexander Rogozin","doi":"10.33933/2713-3001-2023-73-711-724","DOIUrl":"https://doi.org/10.33933/2713-3001-2023-73-711-724","url":null,"abstract":"","PeriodicalId":330650,"journal":{"name":"HYDROMETEOROLOGY AND ECOLOGY. PROCEEDINGS OF THE RUSSIAN STATE HYDROMETEOROLOGICAL UNIVERSITY","volume":"11 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140654544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Variability of potential and kinetic energy of mesoscale eddies \u0000in the Cape Basin","authors":"Alina Malysheva, Tatyana Belonenko","doi":"10.33933/2713-3001-2023-73-684-698","DOIUrl":"https://doi.org/10.33933/2713-3001-2023-73-684-698","url":null,"abstract":"","PeriodicalId":330650,"journal":{"name":"HYDROMETEOROLOGY AND ECOLOGY. PROCEEDINGS OF THE RUSSIAN STATE HYDROMETEOROLOGICAL UNIVERSITY","volume":"29 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140659991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"About typical and anomalous modes of sea water cooling \u0000in a coastal zone of the Curonian spit","authors":"Anastasia Kupriyanova, Vladimir Gritsenko, Alexander Kileso, Ksenia Korobchenkova","doi":"10.33933/2713-3001-2023-73-666-683","DOIUrl":"https://doi.org/10.33933/2713-3001-2023-73-666-683","url":null,"abstract":"","PeriodicalId":330650,"journal":{"name":"HYDROMETEOROLOGY AND ECOLOGY. PROCEEDINGS OF THE RUSSIAN STATE HYDROMETEOROLOGICAL UNIVERSITY","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140661749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ENSO global teleconnections structure in CMIP6 models","authors":"I. Serykh, Dmitry M. Sonechkin","doi":"10.33933/2713-3001-2023-73-607-631","DOIUrl":"https://doi.org/10.33933/2713-3001-2023-73-607-631","url":null,"abstract":"","PeriodicalId":330650,"journal":{"name":"HYDROMETEOROLOGY AND ECOLOGY. PROCEEDINGS OF THE RUSSIAN STATE HYDROMETEOROLOGICAL UNIVERSITY","volume":"40 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140665685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methodology for clarifying the spatial distribution \u0000of meteorological visibility range values based on radar and \u0000ground measurements","authors":"Ilya Kuznetsov, Sergey Dyakov,, Dmitry Bulgin","doi":"10.33933/2713-3001-2023-73-644-652","DOIUrl":"https://doi.org/10.33933/2713-3001-2023-73-644-652","url":null,"abstract":"","PeriodicalId":330650,"journal":{"name":"HYDROMETEOROLOGY AND ECOLOGY. PROCEEDINGS OF THE RUSSIAN STATE HYDROMETEOROLOGICAL UNIVERSITY","volume":"118 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140659286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of the state of agricultural crops and forecast their \u0000yields using ground and satellite information","authors":"Alexander Kleshchenko, Olga Savitskaya, Oleg Virchenko","doi":"10.33933/2713-3001-2023-73-632-643","DOIUrl":"https://doi.org/10.33933/2713-3001-2023-73-632-643","url":null,"abstract":"","PeriodicalId":330650,"journal":{"name":"HYDROMETEOROLOGY AND ECOLOGY. PROCEEDINGS OF THE RUSSIAN STATE HYDROMETEOROLOGICAL UNIVERSITY","volume":"11 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140661795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interannual variability of sea surface temperature at the polar latitudes of the Atlantic Ocean","authors":"N. Nikolskii, Y. Artamonov, Elena E. Skripaleva","doi":"10.33933/2713-3001-2023-71-293-310","DOIUrl":"https://doi.org/10.33933/2713-3001-2023-71-293-310","url":null,"abstract":"The general regularities and regional differences in the interannual variability of the sea surface temperature in the polar latitudes of the Atlantic Ocean are revealed according to the OI SST reanalysis data for period 1982—2017. The reanalysis contains daily average sea surface temperature values at the nodes of a regular grid 0,25°×0,25°. In this work, areas where the ice concentration did not exceed \u000090 % were analyzed. In both polar basins, the position of areas with a high level of sea surface temperature \u0000interannual variability qualitatively coincides with the position of intense currents. The maximum values of \u0000linear sea surface temperature trends are observed in areas of the maximum level of interannual variability, \u0000while the trends in long-term sea surface temperature variability in the Arctic and Antarctic are noticeably \u0000different. Significant positive sea surface temperature trends prevail in the Atlantic sector of the Arctic. \u0000Significant negative trends have been identified only off the northeastern coast of Greenland and north of the Arctic Current. The sea surface temperature decrease on a long-term scale in this area is associated with an increase of cold water transport by the East Greenland and Arctic currents, which are formed as a result \u0000of the intensive melting of Arctic ice observed in recent decades. In the Atlantic sector of the Antarctic, on the contrary, significant negative sea surface temperature trends prevail. In the Arctic, the maximum values of positive sea surface temperature trends are observed in August—September during the period of maximum warming of surface waters and minimum concentration of drifting ice. In the Antarctic, the maximum negative sea surface temperature trends in absolute value are observed from August to October, during the period of surface water cooling and maximum ice concentration.","PeriodicalId":330650,"journal":{"name":"HYDROMETEOROLOGY AND ECOLOGY. PROCEEDINGS OF THE RUSSIAN STATE HYDROMETEOROLOGICAL UNIVERSITY","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114153744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Forecasting water discharges of the river Marmarik (Armenia) according to the kinematic wave equation","authors":"E. Gaidukova, V. Margaryan, I. Vinokurov, Amalia Misakyan, M. Kuleshova","doi":"10.33933/2713-3001-2023-71-277-292","DOIUrl":"https://doi.org/10.33933/2713-3001-2023-71-277-292","url":null,"abstract":"The article provides an overview of methods for short-term forecasting of water flow in mountain rivers based on physical-statistical and regression equations, conceptual approaches. Requirements for forecast models for the Armenian rivers are noted, which correspond to the kinematic wave model, but so far there are no forecast results for the Armenian rivers using this model. The purpose of the study was to test a mathematical model of a kinematic wave for a short-term forecast of water discharges on the mountainous Armenian river Marmarik. The model of a kinematic wave can be obtained after simplifying \u0000the model of channel runoff in a general form, i.e., after excluding from consideration deformations, local constant and variable backwaters from narrowing of channels, confluence of rivers, surge phenomena, and also after excluding the influence of the lower boundary condition, which is responsible for the characteristic of the diffusion spreading of the flood wave. \u0000A kinematic wave model was tested on the Marmarik River, which is an important water body in Armenia. We used series of observations of urgent water discharges during the spring flood from April 1 to June 30 for 2015—2018 at the top of the river Marmarik — Hankavan settlement, lower alignment — Aghavnadzor settlement and at the alignment on the main tributary of the river Gomraget — Meghradzor village. It was found that in the dynamic parametrization of the model, the anthropogenic impact should be introduced as an additional parameter. The obtained values of water discharges when making verification forecasts in the aggregate characterize the kinematic wave model as an effective approach according to \u0000the criteria for assessing the quality of forecast methods of the Hydrometeorological Center and Nash—Sutcliffe. The kinematic wave model is easy to use with a small amount of initial information without meteorological data, which will facilitate its implementation for practical applications.","PeriodicalId":330650,"journal":{"name":"HYDROMETEOROLOGY AND ECOLOGY. PROCEEDINGS OF THE RUSSIAN STATE HYDROMETEOROLOGICAL UNIVERSITY","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126952500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feature of the formation of major positive air temperature anomalies in the coastal areas of the Sea of Okhotsk and the Sea of Japan in 1950—2021","authors":"T. Shatilina, G. Tsitsiashvili, T. Radchenkova","doi":"10.33933/2713-3001-2023-71-261-276","DOIUrl":"https://doi.org/10.33933/2713-3001-2023-71-261-276","url":null,"abstract":"Major positive air temperature anomalies in the coastal areas of the Sea of Okhotsk and the Sea of Japan in 1950—2021 are considered according to the meteorological network. The intra annual variation in the number and frequency of occurrence of major positive air temperature anomalies in the periods 1950—1979 and 1980—2021 are calculated. It is shown that the frequency of occurrence of these anomalies in all months of the year in 1980—2021 is much higher than in 1950—1979. The maximum number of the anomalies was indicated through January to March of 1980—2021 in the northern part of the Sea of \u0000Okhotsk. The maximum frequency of occurrence of the anomalies was in March for all stations of the Sea of Okhotsk. What about the stations situated in the coastal areas of the Sea of Japan, the maximum frequency of occurrence of the anomalies was indicated in May. It is shown that the difference between the climatic \u0000peculiarities of 1950—1979 and 1980—2021 were determined by changes of the circulation regime in the centers of action of the Asia-Pacific region atmosphere. During winter periods of 1980—2021, the frequency of occurrence of major positive anomalies was determined by the tropospheric through regime near the \u0000eastern coast of Asia and by the position of the Okhotsk tropospheric cyclone while in warm periods of 1980—2021 it was determined by the circulation regime variability in the area of the Asia depression and of the Hawaiian anticyclone, their intensity being increased as compared to those of 1950—1979.","PeriodicalId":330650,"journal":{"name":"HYDROMETEOROLOGY AND ECOLOGY. PROCEEDINGS OF THE RUSSIAN STATE HYDROMETEOROLOGICAL UNIVERSITY","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127778384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial atmospheric cloud formations: state and prospects of research","authors":"A. Doronin, V. Petrochenko, N. Kozlova, Georgiy Shchukin, V. Filippenok","doi":"10.33933/2713-3001-2023-71-231-248","DOIUrl":"https://doi.org/10.33933/2713-3001-2023-71-231-248","url":null,"abstract":"The article presents a classification of atmospheric cloud formations, which includes, along with clouds and fogs of natural origin, also anthropogenic atmospheric cloud formations of an unintentional nature, accompanying human economic activity, and intentional nature (artificial clouds and fogs purposefully created by man). \u0000Based on a systematic analysis of patent materials and information sources in this subject area, possible methods for creating artificial clouds and fogs are summarized, indicating the level of their implementation. \u0000It is shown that at present it is possible to create the following types of artificial clouds and fogs: artificial cirrus crystalline clouds, artificial convective clouds, artificial wavy clouds, artificial fogs, artificial low-altitude water-aerosol formations. Some results of field experiments on the creation of artificial fogs and clouds of various forms in our country and abroad are presented. \u0000The list of solved applied tasks in the creation of artificial clouds and fogs is defined. The possibility of solving such problems is shown by the example of destroying thunderstorms, hail in large areas with the help of artificial cirrus clouds and by the example of destroying frost with the help of artificial fogs created by thermo kinetic installations.","PeriodicalId":330650,"journal":{"name":"HYDROMETEOROLOGY AND ECOLOGY. PROCEEDINGS OF THE RUSSIAN STATE HYDROMETEOROLOGICAL UNIVERSITY","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122429116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}