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6. Progress of International Meridian Circle Program

Author

WANG Chi, BLANC Michel, ZHANG Shunrong, DENARDINI Clezio Marcos, LIU William, SHEN Xuhui, WU Jian, XU Jiyao, LI Hui, ZHANG Qinghe, REN Liwen, ZHU Yajun, LI Guozhu, DING Zonghua, LIU Zhengkuan, and YANG Fang

Subjects
Chinese Meridian Project (CMP), International Meridian Circle Program (IMCP), China-Brazil Joint Laboratory for Space Weather, North Pole and Southeast Asia networks, Astronomy, QB1-991
Abstract

In 2024, the Chinese Meridian Project (CMP) completed its construction, deploying 282 instruments across 31 stations. This achievement not only provides a robust foundation but also serves as a reference template for the International Meridian Circle Program (IMCP). The IMCP aims to integrate and establish a comprehensive network of ground-based monitoring stations designed to track the propagation of space weather events from the Sun to Earth. Additionally, it monitors various disturbances generated within the Earth system that impact geospace. Over the past two years, significant progress has been made on the IMCP. In particular, the second phase of construction for the China-Brazil Joint Laboratory for Space Weather has been completed, and the North Pole and Southeast Asia networks are under active construction. The 2024 IMCP joint observation campaign was successfully conducted. To facilitate these developments, the scientific program committee of IMCP was established, following the success of 2023 IMCP workshop and the space weather school, which was co-hosted with the Asia-Pacific Space Cooperation Organization (APSCO) and sponsored by Chinese Academy of Sciences (CAS) and Scientific Committee on Solar-Terrestrial Physics (SCOSTEP). Preparations are now underway for the 2024 workshop in collaboration with the National Institute for Space Research (INPE) in Brazil.

Published
2024
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8. Phase-resolved ocean wave forecast with simultaneous current estimation through data assimilation

Author

Wang, Guangyao, Zhang, Jinfeng, Ma, Yuxiang, Zhang, Qinghe, Li, Zhilin, and Pan, Yulin

Subjects
Physics - Fluid Dynamics
Abstract

In Wang & Pan (J. Fluid Mech., vol. 918, A19, 2021), the authors developed the first ensemble-based data assimilation (DA) capability for the reconstruction and forecast of ocean surface waves, namely the EnKF-HOS method coupling an ensemble Kalman filter (EnKF) and the high-order spectral (HOS) method. In this work, we continue to enrich the method by allowing it to simultaneously estimate the ocean current field, which is in general not known a priori and can (slowly) vary in both space and time. To achieve this goal, we incorporate the effect of ocean current (as unknown parameters) on waves to build the HOS-C method as the forward prediction model, and obtain a simultaneous estimation of (current) parameters and (wave) states via an iterative EnKF (IEnKF) method that is necessary to handle the complexity in this DA problem. The new algorithm, named IEnKF-HOS-C method, is first tested in synthetic problems with various forms (steady/unsteady, uniform/non-uniform) of current. It is shown that the IEnKF-HOS-C method is able to not only estimate the current field accurately, but also boost the prediction accuracy of the wave field (even) relative to the state-of-the-art EnKF-HOS method. Finally, using real data from a shipborne radar, we show that the IEnKF-HOS-C method successfully recovers the current speed that matches the in situ measurement by a floating buoy.

Published
2022
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