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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">tinro</journal-id><journal-title-group><journal-title xml:lang="ru">Известия ТИНРО</journal-title><trans-title-group xml:lang="en"><trans-title>Izvestiya TINRO</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1606-9919</issn><issn pub-type="epub">2658-5510</issn><publisher><publisher-name>ТИНРО</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26428/1606-9919-2019-199-163-178</article-id><article-id custom-type="elpub" pub-id-type="custom">tinro-518</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>УСЛОВИЯ ОБИТАНИЯ ПРОМЫСЛОВЫХ ОБЪЕКТОВ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ENVIRONMENTS OF FISHERIES RESOURCES</subject></subj-group></article-categories><title-group><article-title>ИЗМЕНЧИВОСТЬ И ВЗАИМОСВЯЗЬ ОСНОВНЫХ КЛИМАТИЧЕСКИХ ИНДЕКСОВ ДЛЯ СЕВЕРНОЙ ЧАСТИ ТИХОГО ОКЕАНА: ТРЕНДЫ, КЛИМАТИЧЕСКИЕ СДВИГИ, СПЕКТРЫ, КОРРЕЛЯЦИИ</article-title><trans-title-group xml:lang="en"><trans-title>VARIABILITY AND INTERRELATION OF THE BASIC CLIMATE INDICES FOR THE NORTH PACIFIC: TRENDS, CLIMATE SHIFTS, SPECTRA, CORRELATIONS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Хен</surname><given-names>Г. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Khen</surname><given-names>G. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Хен Геннадий Васильевич, кандидат географических наук, ведущий научный сотрудник</p><p>Постановка задачи принадлежит Г.В. Хену</p><p>в анализе и обсуждении результатов принимали участие все авторы, подготовку текста статьи осуществлял Г.В. Хен</p></bio><bio xml:lang="en"><p>Khen Gennady V., Ph.D., leading researcher</p></bio><email xlink:type="simple">gennady.khen@tinro-center.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Устинова</surname><given-names>Е. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Ustinova</surname><given-names>E. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Устинова Елена Ивановна, кандидат географических наук, ведущий научный сотрудник</p><p>в анализе и обсуждении результатов принимали участие все авторы, подготовку текста статьи осуществлял Е.И. Устинова</p></bio><bio xml:lang="en"><p>Ustinova Elena I., Ph.D., leading researcher</p></bio><email xlink:type="simple">elena.ustinova@tinro-center.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сорокин</surname><given-names>Ю. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Sorokin</surname><given-names>Yu. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сорокин Юрий Дмитриевич, ведущий специалист</p><p>работу с базами данных, основные расчеты и часть иллюстраций выполнил Ю.Д. Сорокин</p></bio><bio xml:lang="en"><p>Sorokin Yury D., leading specialist</p></bio><email xlink:type="simple">yuriy.sorokin@tinro-center.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Тихоокеанский филиал ВНИРО (ТИНРО)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Pacific branch of VNIRO (TINRO)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>30</day><month>12</month><year>2019</year></pub-date><volume>199</volume><issue>4</issue><fpage>163</fpage><lpage>178</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Хен Г.В., Устинова Е.И., Сорокин Ю.Д., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Хен Г.В., Устинова Е.И., Сорокин Ю.Д.</copyright-holder><copyright-holder xml:lang="en">Khen G.V., Ustinova E.I., Sorokin Y.D.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://izvestiya.tinro-center.ru/jour/article/view/518">https://izvestiya.tinro-center.ru/jour/article/view/518</self-uri><abstract><p>Исследованы особенности межгодовых изменений основных климатических индексов для северной части Тихого океана (AO, Nino 3.4, PDO, ALPI, NPI, PNA, SHI, WP) при годовом и среднезимнем (декабрь-март) осреднении данных за 1950–2018 гг. Выявлены трендовые составляющие, климатические сдвиги и спектры, показаны признаки устойчивого потепления с середины 20-го столетия по настоящее время. Наиболее важные «климатические сдвиги», отмеченные у большинства рассматриваемых индексов, произошли в 1977 и 1989 гг. В последние годы (2015–2017) был заметен положительный «сдвиг» в рядах PDO, WP и NPI, позволяющий сделать предположение о современном переходе в новую климатическую эпоху — более теплую, чем предыдущие два десятилетия. У северотихоокеанских индексов (PDO, ALPI, NPI и PNA) выделяется 19-летний цикл, совпадающий с лунным деклинационным приливом. Индекс Nino 3.4, возможно, связанный с солнечной деятельностью, имеет 11-летнюю ритмику. Основная периодичность SHI составляет 26 лет. У ряда индексов выделяются вторые пики, значительно уступающие по мощности основным. Они соответствуют периодам 7–8 лет у индексов АО и PDO, 11 лет у WP и 15 лет у SHI. Северотихоокеанские индексы (PDO, ALPI, NPI и PNA) тесно связаны между собой и имеют высокие коэффициенты корреляции (0,67–0,96). Индекс Nino 3.4, характеризующий Эль-Ниньо, также связан с ними, но коэффициент корреляции меньше: 0,45–0,56. Статистически значимую связь SHI имеет только с индексом AO, а индекс WP — с Nino 3.4.</p></abstract><trans-abstract xml:lang="en"><p>The study is continuing, which first results were published in 2019 [Khen et al., 2019]. The main patterns of long-term variability are considered for selected climate indices in the North Pacific and links between them are identified on the common methodological basis. The following indices are analyzed: AO (Arctic Oscillation), PDO (Pacific Decadal Oscillation), Nino 3.4 (index of El-Nino — South Oscillation), ALPI (Aleutian Low Pressure index), NPI (North Pacific index), PNA (Pacific/North American index), SHI (Siberian High index), and WP (West Pacific index). Their time-series are provided on websites of the world climate centers, with exception of the Siberian High index that was calculated from the reanalysis data on the sea level pressure provided by the USA National Center for Environmental Prediction (NCEP) — National Center for Atmospheric Research (NCAR) for 1950–2018. Data were analysed using standard statistical methods. Regime shifts are detected using Rodionov’s method of sequential regime shift detection including the regime shift index (RSI) and tools of automatic detection of the regime shifts with improved performance at the ends of time series. Variations of all indices since the middle 20th century correspond to warming that is not monotonous but combines phases of quick transition from one climatic regime to another — climate shifts and periods of relatively stable state between them. The most important climate shifts happened in 1977 and 1989 and they were noted for majority of the considered indices. Values of the indices heightened in the former shift and slightly lowered in the latter one, except of NPI that had opposite changes. PDO, WP and NPI had another positive shift in the recent years (2015–2017) that allows to assume transition to a new climate regime which will be warmer than the previous one in the last two decades. Long-term periodicity coincided with the 19-year cycle of lunar declination is revealed for PDO, ALPI, NPI and PNA; its spectral power amplifies considerably after removing of high-frequency variability by running 5-year averaging of the time series. Nino 3.4 showed a prominent 11-year cycle, possibly associated with the solar activity. SHI, AO and WP changed with periods about two decades: the main frequency is 26 years for SHI, 20 years for AO, and 17 years for WP, but the peaks of spectral power for the two latter indices is low, i.e. non-periodic oscillations dominate for them. Secondary peaks of spectral power are much lower than the main ones, they correspond to cycles of 7–8 years for AO and PDO, 11 years for WP, and 15 years for SHI. The indices of the North Pacific quartette (PDO, ALPI, NPI and PNA) are closely related between each other with high correlation coefficients (0.67–0.96). The Nino 3.4 index is also linked with them, but with lower correlation (0.45–0.56). SHI has statistically significant relationship with AO only, and WP correlates with Nino 3.4. Contribution of the large-scale climate processes to environmental variability in the Far-Eastern Seas of Russia and the Northwestern Pacific will be considered in the next issue.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>северная части Тихого океана</kwd><kwd>климатические индексы</kwd><kwd>климатические сдвиги</kwd><kwd>спектры</kwd><kwd>корреляция</kwd></kwd-group><kwd-group xml:lang="en"><kwd>North Pacific</kwd><kwd>climate index</kwd><kwd>regime shift</kwd><kwd>spectrum</kwd><kwd>correlation</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Авторы выражают благодарность сотруднику Института по изучению атмосферы и океана Вашингтонского университета С.Н. Родионову за разработку методики выявления сдвигов климатического режима и доступное программное обеспечение, а также Центру климатического прогнозирования (Climate Prediction Center), Национальному центру по прогнозированию окружающей среды (NCEP) и Национальному центру атмосферных исследований (NCAR) Национального управления океанических и атмосферных исследований (NOAA) США за регулярно обновляемые данные о климатических индексах и данные реанализа о приземном атмосферном давлении на открытых информационных Интернет-ресурсах. Авторы искренне признательны анонимному рецензенту за полезные и конструктивные замечания. Финансирование работы Результаты настоящего исследования были получены в рамках выполнения государственного задания № 076-00005-19-00 ФГБНУ «ВНИРО» на 2019 г. (тема 4.4.7.11. 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