{"title":"在现代信息环境中应用冰盖模型预测冰层形成日期的经验：西伯利亚东北部河流案例研究","authors":"M. I. Sil’nitskaya","doi":"10.3103/s1068373924010047","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The ice sheet model developed by L.G. Shulyakovskii for calculating ice formation dates on water bodies is presented. A possibility of applying this model for predicting ice formation dates based on the information system of the Hydrometcenter of Russia is shown. The model is implemented in the Automated Operational Data Processing System for the large navigable rivers of northeastern Siberia. Forecast sites at which the morphometric parameters of the model were obtained from long-term observations are distinguished on these rivers. The analysis of the state of the information databases used to automate calculations revealed a possibility to increase the lead time of the forecasts of the ice phenomena onset up to 10 days. The verification of the floating ice formation date forecasts produced using the model in operational mode over 2014–2022 is performed.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Experience of Applying the Ice Sheet Model for Predicting Ice Formation Dates in Modern Information Environment: A Case Study for Rivers of Northeastern Siberia\",\"authors\":\"M. I. Sil’nitskaya\",\"doi\":\"10.3103/s1068373924010047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Abstract</h3><p>The ice sheet model developed by L.G. Shulyakovskii for calculating ice formation dates on water bodies is presented. A possibility of applying this model for predicting ice formation dates based on the information system of the Hydrometcenter of Russia is shown. The model is implemented in the Automated Operational Data Processing System for the large navigable rivers of northeastern Siberia. Forecast sites at which the morphometric parameters of the model were obtained from long-term observations are distinguished on these rivers. The analysis of the state of the information databases used to automate calculations revealed a possibility to increase the lead time of the forecasts of the ice phenomena onset up to 10 days. The verification of the floating ice formation date forecasts produced using the model in operational mode over 2014–2022 is performed.</p>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.3103/s1068373924010047\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.3103/s1068373924010047","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Experience of Applying the Ice Sheet Model for Predicting Ice Formation Dates in Modern Information Environment: A Case Study for Rivers of Northeastern Siberia
Abstract
The ice sheet model developed by L.G. Shulyakovskii for calculating ice formation dates on water bodies is presented. A possibility of applying this model for predicting ice formation dates based on the information system of the Hydrometcenter of Russia is shown. The model is implemented in the Automated Operational Data Processing System for the large navigable rivers of northeastern Siberia. Forecast sites at which the morphometric parameters of the model were obtained from long-term observations are distinguished on these rivers. The analysis of the state of the information databases used to automate calculations revealed a possibility to increase the lead time of the forecasts of the ice phenomena onset up to 10 days. The verification of the floating ice formation date forecasts produced using the model in operational mode over 2014–2022 is performed.
期刊介绍：
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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