Ground-Space-Sky Observing System Experiment during Tropical Cyclone Mulan in August 2022

Chan, P. W.; Han, Wei; Mak, Betty; Qin, Xiangjing; Liu, Yongzhu; Yin, Ruoying; Wang, Jincheng

doi:10.1007/s00376-022-2267-z

Cited by 8 publications

(2 citation statements)

References 30 publications

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“…The dropsonde wind data, which is used for intercomparison against the derived OCWVs, comes from a set of collaborative observing experiments of TC Mulan (2022) from 8 to 10 August 2022 over the South China Sea (SCS). The experiment is conducted with a collaborative effort between the Chinese Meteorology Agency (CMA), the Institute of Atmospheric Physics of the Chinese Academy of Science, Fudan University and the Hong Kong Observatory (HKO; Chan et al, 2022). The observation obtains wind measurements at a frequency of four times per second using Global Positioning System (GPS) technology.…”

Section: Winds Observation and Reanalysis A Dropsonde Observationmentioning

confidence: 99%

Deriving overlapped cloud motion vectors based on geostationary satellite and its application on monitoring Typhoon Mulan

Liu

Han

Zhang

et al. 2023

Preprint

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We present a novel Overlapped Cloud Motion Vectors (OCMVs) deriving algorithm using the Himawari-8 satellite. A multi-layer Cloud Top Heights (CTHs) retrieving model based on multi-spectral observed radiances is constructed using neural networks to reduce the substantial uncertainty of CMVs over multi-layer clouds. The retrieved CTHs are assigned to upper ice and lower water cloud layers, then they are used as respective tracers for deriving OCMVs based on an optical flow algorithm. OCMVs reveal the asymmetric kinematic structure of Typhoon Mulan, particularly in the typhoon’s inner-core. The vortex center of lower water CMVs is significantly closer to the typhoon center than that of the upper ice CMVs. Additionally, the direction of CMVs in the lower inner-core show excellent agreement with dropsonde observations. This marks the first time that a geostationary satellite successfully captured the lower layer CMVs of typhoons, providing a valuable reference for the typhoon center identification.

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Section: Winds Observation and Reanalysis A Dropsonde Observationmentioning

confidence: 99%

Deriving overlapped cloud motion vectors based on geostationary satellite and its application on monitoring Typhoon Mulan

Liu

Han

Zhang

et al. 2023

Preprint

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show abstract

“…CNOP extends the concept of SV to nonlinear systems, focusing on identifying the initial perturbation that exhibits most rapid growth in the forecast. Targeted observation based on CNOP has demonstrated its wide applicability in high-impact weather events prediction and air-sea coupling events prediction Duan and Hu, 2015;Duan and Mu, 2018;Chan et al, 2022;Liu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Enhancing ocean environment prediction in Yellow Sea through targeted observation using ocean acoustic tomography

Baolong,

Jingyi,

Wuhong

et al. 2023

Front. Mar. Sci.

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Ocean Acoustic Tomography (OAT) is an efficient and economical marine acoustic observation technique. Targeted observation is an appealing procedure to reduce the uncertainty of ocean environment prediction through additional observation. This study aimed to assess the validity of OAT as an observation method for targeted observation. OAT based on Niche Genetic Algorithm was employed to extract sound speed and temperature profiles from acoustic transmission time, utilizing data from the 2019 Yellow Sea experiment. The inversion results were compared with measurement data, which are found to be accurate and reliable. To further evaluate OAT as targeted observation method, the vertical bias structure of OAT was added on synchronous measurement data in the sensitive area of targeted observation to simulate OAT observation in sensitive area. This simulated data was then incorporated into a 3D-Var assimilation system to improve the short-term prediction of the target region. Comparing the predictions derived with the measurement data at the verification time, it shows that the simulated OAT observation improved the quality of target region prediction, indicating that OAT can be an effective observation method for targeted observation. An Observing System Simulation Experiment was conducted to assess the impact of OAT characteristics on prediction improvement. The results show that both adding observation nodes and extending the observation duration have positive effects, while extending the observation duration performs better.

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Applications of Conditional Nonlinear Optimal Perturbations to Targeting Observation of Tropical Cyclones

Qin,

Mu,

Zhou

et al. 2023

Springer Atmospheric Sciences

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Ground-Space-Sky Observing System Experiment during Tropical Cyclone Mulan in August 2022

Cited by 8 publications

References 30 publications

Deriving overlapped cloud motion vectors based on geostationary satellite and its application on monitoring Typhoon Mulan

Deriving overlapped cloud motion vectors based on geostationary satellite and its application on monitoring Typhoon Mulan

Enhancing ocean environment prediction in Yellow Sea through targeted observation using ocean acoustic tomography

Applications of Conditional Nonlinear Optimal Perturbations to Targeting Observation of Tropical Cyclones

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