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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Vestnik of the Far East Branch of the Russian Academy of Sciences</journal-id><journal-title-group><journal-title xml:lang="en">Vestnik of the Far East Branch of the Russian Academy of Sciences</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Дальневосточного отделения Российской академии наук</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0869-7698</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">688924</article-id><article-id pub-id-type="doi">10.31857/S0869769825030028</article-id><article-id pub-id-type="edn">PLRGNS</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Earth and Environment Sciences</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Науки о Земле и окружающей среде</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Analysis of mountain waves’ characteristics obtained by high-resolution numerical modeling on Eastern Siberia and Russian Far East</article-title><trans-title-group xml:lang="ru"><trans-title>Оценка параметров горных волн, рассчитанных по данным численных моделей прогноза погоды высокого пространственного разрешения в Восточной Сибири и на Дальнем Востоке России</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0006-5776-9736</contrib-id><name-alternatives><name xml:lang="en"><surname>Verbitskaya</surname><given-names>Eugenia M.</given-names></name><name xml:lang="ru"><surname>Вербицкая</surname><given-names>Евгения Митрофановна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Candidate of Sciences in Geography, Leading Researcher</p></bio><bio xml:lang="ru"><p>кандидат географических наук, ведущий научный сотрудник</p></bio><email>werbaem@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6613-6881</contrib-id><name-alternatives><name xml:lang="en"><surname>Romanskiy</surname><given-names>Stanislav O.</given-names></name><name xml:lang="ru"><surname>Романский</surname><given-names>Станислав Олегович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Candidate of Sciences in Physics and Mathematics, Senior Researcher</p></bio><bio xml:lang="ru"><p>кандидат физико-математических наук, старший научный сотрудник</p></bio><email>khvrom@ya.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Far Eastern Regional Hydrometeorological Research Institute</institution></aff><aff><institution xml:lang="ru">Дальневосточный региональный научно-исследовательский гидрометеорологический институт</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2025-09-04" publication-format="electronic"><day>04</day><month>09</month><year>2025</year></pub-date><issue>3</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>16</fpage><lpage>28</lpage><history><date date-type="received" iso-8601-date="2025-08-10"><day>10</day><month>08</month><year>2025</year></date><date date-type="accepted" iso-8601-date="2025-08-10"><day>10</day><month>08</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Russian Academy of Sciences</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Российская академия наук</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Russian Academy of Sciences</copyright-holder><copyright-holder xml:lang="ru">Российская академия наук</copyright-holder></permissions><self-uri xlink:href="https://journals.eco-vector.com/0869-7698/article/view/688924">https://journals.eco-vector.com/0869-7698/article/view/688924</self-uri><abstract xml:lang="en"><p>Forecasting of possible locations, intensity, vertical and horizontal propagation of mountain waves (MW) is one of the main problems to ensure flight safety. This is very important in the complete absence predictions’ methods on the territory of Russia in generally and, especially, in Far-Eastern region. Main problem of the MW forecasting is almost complete absence of MW observations and instrumental measurement of their characteristics. In the article, approach to conformity assessment of simulated MW parameters (location, intensity, vertical and horizontal propagation) to real characteristics which are approximately determined by satellite images of lenticular clouds (Sc и Ac lenticularis) and atmospheric sounding is presented. It is shown that characteristics of simulated MW by the Weather Research and Forecasting model with grid spacing of 1 km are close to actual values. Possibilities to calibrate parameters of simulated MW calculated on the 5-km grid by values obtained on 1-km grid are discussed.</p></abstract><trans-abstract xml:lang="ru"><p>Прогнозирование местоположения возможного возникновения горных волн (ГВ), их интенсивности и вертикального развития – весьма актуальная задача обеспечения безопасности полетов воздушных судов. Это особенно важно в условиях полного отсутствия методов прогнозирования ГВ на территории РФ вообще и Дальневосточного региона в частности. Основной сложностью решения задачи прогнозирования ГВ является практически полное отсутствие наблюдений за ГВ и инструментальных измерений их параметров. В статье представлен подход к оценке степени соответствия прогнозируемых по данным численной модели прогноза погоды параметров ГВ (местоположения, интенсивности, вертикального развития и горизонтального распространения) реальным значениям, которые предлагается приближенно определять по космическим снимкам чечевицеобразной облачности (Sc и Ac lenticularis) и данным радиозондирования. Показано, что расчетные параметры ГВ, полученные по модели Weather Research and Forecasting (WRF) на сетке с горизонтальным шагом 1 км, близки к реальным. Обсуждается возможность калибровки значений параметров ГВ, рассчитанных по оперативной модели WRF на сетке с горизонтальным шагом 5 км, данными, рассчитанными на сетке с шагом 1 км.</p></trans-abstract><kwd-group xml:lang="en"><kwd>mountain wave</kwd><kwd>lee wave</kwd><kwd>meteorological forecasts for aviation</kwd><kwd>Far East</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>горные волны</kwd><kwd>подветренные волны</kwd><kwd>метеорологические прогнозы для авиации</kwd><kwd>Дальний Восток</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="ru">Федеральная служба по гидрометеорологии и мониторингу окружающей среды</institution></institution-wrap><institution-wrap><institution xml:lang="en">Federal Service for Hydrometeorology and Environmental Monitoring</institution></institution-wrap></funding-source></award-group><funding-statement xml:lang="en">The work is supported as a part of the theme 1.4.2.2 of the Plan of research and technological works of Roshydromet for 2020–2024.</funding-statement><funding-statement xml:lang="ru">Работа выполнена в рамках темы 1.4.4.2 Плана научно-исследовательских и технологических работ Росгидромета на 2020–2024 годы.</funding-statement></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">Sharman R.D., Lane T. 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