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Data Analyses and Parallel Optimization of the Tropical-Cyclone Coupled Numerical Model

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Data Science (ICPCSEE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1628))

Abstract

Tropical cyclones (TCs) are one of the most feared and deadly weather systems in the world. An air-sea coupled numerical model offers a more accurate description of physical processes between atmospheric-ocean fluids. An operational ocean-atmosphere-wave coupled modeling system is employed to improve the prediction accuracy of tropical cyclones in the National Marine Environmental Forecasting Center (NMEFC). Due to the urgent need for operational timeliness, the parallel performance of the operational forecasting system has been analyzed. The parallel algorithm, parallel partitioning grids, and other optimizations were tested after system deployment on the Lenovo cluster of the NMEFC. After optimization, a well-balanced performance of the system is obtained, and computing resources are reasonably utilized, thus laying the foundation for real-time tropical cyclone forecasting.

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Acknowledgments

We thank Dr. Yunfei Zhang and Dr. Xiang Li from the National Marine Environmental Forecasting Center for setting up the coupling modeling system and their valuable suggestions on this work. This research is supported by the National Natural Science Foundation of China (41976200) and the project of Guangdong Ocean University (060302032106). We acknowledge the comments of three anonymous reviewers.

Author information

Authors and Affiliations

  1. National Marine Environmental Forecasting Center, Beijing, 100081, China

    Yanqiang Wang, Sai Hao, Chenqi Wang & Bo Lin

  2. College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China

    Yanqiang Wang

  3. Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang, 54008, China

    Tianyu Zhang

  4. Baidu Inc., Beijing, 10105, China

    Zhaohui Yin

Authors
  1. Yanqiang Wang
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  2. Tianyu Zhang
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  3. Zhaohui Yin
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  4. Sai Hao
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  5. Chenqi Wang
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  6. Bo Lin
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Corresponding author

Correspondence to Tianyu Zhang .

Editor information

Editors and Affiliations

  1. Southwest Petroleum University, Chengdu, China

    Yang Wang

  2. University of Electronic Science and Technology of China, Chengdu, China

    Guobin Zhu

  3. Harbin Engineering University, Harbin, China

    Qilong Han

  4. Harbin Institute of Technology, Harbin, China

    Hongzhi Wang

  5. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  6. National Academy of Guo Ding Institute of Data Sciences, Beijing, China

    Zeguang Lu

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Wang, Y., Zhang, T., Yin, Z., Hao, S., Wang, C., Lin, B. (2022). Data Analyses and Parallel Optimization of the Tropical-Cyclone Coupled Numerical Model. In: Wang, Y., Zhu, G., Han, Q., Wang, H., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2022. Communications in Computer and Information Science, vol 1628. Springer, Singapore. https://doi.org/10.1007/978-981-19-5194-7_2

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  • DOI: https://doi.org/10.1007/978-981-19-5194-7_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-5193-0

  • Online ISBN: 978-981-19-5194-7

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