Projected climate change scenario over California by a regional ocean-atmosphere coupled model system

 The common method, task and algorithm of structural identification of multidimensional stabilizable plant dynamic models under the action of controlling, controlled and uncontrolled during the experiments stochastic disturbances are offered. The common and main special cases of identification task are set and the mathematical algorithms of their solving are given. Предложены метод, задача и алгоритм структурной идентификации моделей динамики многомерного стабилизируемого объекта, подвергнутого действию управляющих, контролируемых и неконтролируемых при экспериментах стохастических возмущающих воздействий. Рассмотрены общий и основные частные случаи задачи идентификации. Приведены математические алгоритмы их решений. Запропоновано метод, задачу й алгоритм структурної ідентифікації моделей динаміки багатовимірного стабілізованого об’єкта, підданого дії управляючих, контрольованих і неконтрольованих при експериментах стохастичних збурюючих впливів. Поставлено загальний і основні окремі випадки задачі ідентифікації. Розглянуто математичні алгоритми їхніх розв’язань

From California’s Extreme Drought to Major Flooding Evaluating and Synthesizing: Experimental Seasonal and Subseasonal Forecasts of Landfalling Atmospheric Rivers and Extreme Precipitation during Winter 2022/23

California experienced a historic run of nine consecutive landfalling atmospheric rivers (ARs) in three weeks’ time during winter 2022/23. Following three years of drought from 2020 to 2022, intense landfalling ARs across California in December 2022–January 2023 were responsible for bringing reservoirs back to historical averages and producing damaging floods and debris flows. In recent years, the Center for Western Weather and Water Extremes and collaborating institu-; tions have developed and routinely provided to end users peer-reviewed experimental seasonal (1–6 month lead time) and subseasonal (2–6 week lead time) prediction tools for western U.S. ARs, circulation regimes, and precipitation. Here, we evaluate the performance of experimental seasonal precipitation forecasts for winter 2022/23, along with experimental subseasonal AR activity and circulation forecasts during the December 2022 regime shift from dry conditions to persistent troughing and record AR-driven wetness over the western United States. Experimental seasonal precipitation forecasts were too dry across Southern California (likely due to their over-reliance on La Niña), and the observed above-normal precipitation across Northern and Central California was underpredicted. However, experimental subseasonal forecasts skillfully captured the regime shift from dry to wet conditions in late December 2022 at 2–3 week lead time. During this time, an active MJO shift from phases 4 and 5 to 6 and 7 occurred, which historically tilts the odds toward increased AR activity over California. New experimental seasonal and subseasonal synthesis forecast products, designed to aggregate information across institutions and methods, are introduced in the context of this historic winter to provide situational awareness guidance to western U.S. water managers. © 2024 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).6 month embargo; first published 08 January 2024This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]