基于非结构网格全球模式的南极大气数值预报模型及其应用-海洋预报

基于非结构网格全球模式的南极大气数值预报模型及其应用

作者：尹铁男¹ 2 彭炜³ 4 赵一磊³ 4 施东生⁵ 杨炳良⁶ 马宏怡⁶ 张红波⁶

单位：1. 中国华能集团清洁能源技术研究院有限公司, 北京 102209;
2. 国家能源海上风电工程与运行技术研发中心, 北京 102209;
3. 卫星海洋环境监测预警全国重点实验室(国家海洋环境预报中心), 北京 100081;
4. 自然资源部海洋灾害预报技术重点实验室, 北京 100081;
5.

关键词：南极航空气象 MPAS-A 非结构网格数值天气预报系统南极考察

分类号：P456.7

出版年·卷·期（页码）：2026·43·第一期（98-112）

摘要：

基于非结构网格全球模式MPAS-A，研发建立了精细化南极大气数值预报模型。模型采用分辨率为0.25°的NCEP FNL数据作为驱动，可实现南极区域72 h时效、0.1°×0.1°分辨率的逐小时高时空分辨率气象预报。依托中山站全年地面站观测数据和中山冰雪机场夏季地面观测数据，对2023年11月1日起为期一年的数值模拟结果进行检验分析。检验结果表明，该数值预报模式在夏季（12月—次年2月）的模拟效果优于冬季（3—11月），能较好地预报极地高压、绕极气旋等影响系统，具备较高的可信度；但模式对相对湿度的模拟结果偏差较大。此外，结合中山冰雪机场地面保障和气象保障业务工作需求，对模式结果进行释用，开发了一系列针对航空保障的预报产品，并为第 40次、第 41次南极考察期间“雪鹰 601”航空器和中山冰雪机场的运行提供气象保障服务，获得航空作业队的认可。

Based on the global non-hydrostatic Model for Prediction Across Scales-Atmosphere (MPAS-A) with an unstructured grid framework, this study developed a refined atmospheric numerical prediction system for Antarctica. Driven by the NCEP Final (FNL) Operational Global Analysis data at 0.25° resolution, the system achieves 72-hour forecasts over Antarctica with a high spatiotemporal resolution (0.1° × 0.1° grid spacing, hourly). Validation covering a one-year simulation starting from 1 November 2023 was conducted against yearround surface observational data from Zhongshan Station and summertime observational data from Zhongshan Skiway. The model demonstrates superior performance in summer (December-February) compared to winter (March-November). It reliably predicts critical polar meteorological systems with high credibility, including polar high-pressure systems and circumpolar cyclones. Larger biases persist in the simulated relative humidity compared to observations. For operational aviation support at Zhongshan Skiway, this study developed specialized forecasting products based on post-processing model outputs. With operational effectiveness acknowledged by aviation teams, these products have provided critical meteorological support for flight operations of "Snow Eagle 601" aircraft during the 40th and 41st Chinese Antarctic Research Expeditions.

参考文献：

[1] SCREEN J A, BRACEGIRDLE T J, SIMMONDS I. Polar climate change as manifest in atmospheric circulation[J]. Current Climate Change Reports, 2018, 4(4): 383-395.
[2] TURNER J, BINDSCHADLER R, CONVEY P, et al. Antarctic climate change and the environment[M]. Cambridge, Scientific Committee on Antarctic Research, 2009.
[3] 孙启振, 张林, 张占海, 等. 南极中山站夏季下降风数值模拟个例研究[J]. 海洋学报, 2016, 38(3): 71-81. SUN Q Z, ZHANG L, ZHANG Z H, et al. Numerical simulation of summer katabatic wind at Zhongshan Station, Antarctica: a case study[J]. Haiyang Xuebao, 2016, 38(3): 71-81.
[4] 华洋, 王泓, 李煜斌, 等. 南极中山站夏季低层大气风温湿特征研究[J]. 高原气象, 2025, 44(2): 311-322. HUA Y, WANG H, LI Y B, et al. Research on the characteristics of wind, temperature, and humidity in the lower atmosphere at Zhongshan station in Antarctica in summer[J]. Plateau Meteorology, 2025, 44(2): 311-322.
[5] 杨堤益, 丁明虎, 邹小伟. 南极冰盖地表能量平衡的研究进展[J]. 极地研究, 2021, 33(1): 99-114. YANG D Y, DING M H, ZOU X W. Advances in the study of surface energy balance on the Antarctic ice sheet[J]. Chinese Journal of Polar Research, 2021, 33(1): 99-114.
[6] BROMWICH D H, NICOLAS J P, HINES K M, et al. Tropospheric clouds in Antarctica[J]. Reviews of Geophysics, 2012, 50(1): RG1004.
[7] NICOLAS J P, BROMWICH D H. New reconstruction of Antarctic near-surface temperatures: multidecadal trends and reliability of global reanalyses[J]. Journal of Climate, 2014, 27(21): 8070-8093.
[8] 单琰焱, 刘明. 新时期中国与南极门户国家的后勤合作及对策建议[J]. 太平洋学报, 2023, 31(2): 81-94. SHAN Y Y, LIU M. Logistics cooperation between China and Antarctic gateway states in the new era and China's Strategies[J]. Pacific Journal, 2023, 31(2): 81-94.
[9] BUDD L, ISON S. Air transport management[M]. New York: Routledge, 2017.
[10] SCAMBOS T A, BELL R E, ALLEY R B, et al. How much, how fast?: a science review and outlook for research on the instability of Antarctica's Thwaites Glacier in the 21st century[J]. Global and Planetary Change, 2017, 153: 16-34.
[11] RODRIGUE J P. The geography of transport systems[M]. 5th ed. London: Routledge, 2020.
[12] ZHANG L L, YANG J, ZANG J J, et al. Reforming China's polar science and technology system[J]. Interdisciplinary Science Reviews, 2019, 44(3-4): 387-401.
[13] 肖紫寒, 艾松涛, 张汝诚. 南极航空网络现状及展望[J]. 极地研究, 2025, 37(2): 363-375. XIAO Z H, AI S T, ZHANG R C. Current status and prospects of Antarctic aviation network[J]. Chinese Journal of Polar Research, 2025, 37(2): 363-375.
[14] CUI X B, GREENBAUM J S, BEEM L H, et al. The first fixedwing aircraft for Chinese Antarctic expeditions: Airframe, modifications, scientific instrumentation and applications[J]. Journal of Environmental and Engineering Geophysics, 2018, 23(1): 1-13.
[15] 孙波, 唐学远, 肖恩照, 等. 南极机场冰雪跑道工程技术发展现状与展望[J]. 中国工程科学, 2021, 23(2): 161-168. SUN B, TANG X Y, XIAO E Z, et al. Ice and snow runway engineering in the Antarctica: current status and prospect[J]. Strategic Study of Chinese Academy of Engineering, 2021, 23(2): 161-168.
[16] 赵一磊, 魏立新, 刘凯. 中国首次南极航空气象保障工作回顾及展望[J]. 海洋预报, 2024, 41(4): 110-117. ZHAO Y L, WEI L X, LIU K. Review and outlook of the first Chinese Antarctic aviation meteorological service[J]. Marine Forecasts, 2024, 41(4): 110-117.
[17] THUBURN J, RINGLER T D, SKAMAROCK W C, et al. Numerical representation of geostrophic modes on arbitrarily structured C-grids[J]. Journal of Computational Physics, 2009, 228(22): 8321-8335.
[18] RINGLER T D, THUBURN J, KLEMP J B, et al. A unified approach to energy conservation and potential vorticity dynamics for arbitrarily-structured C-grids[J]. Journal of Computational Physics, 2010, 229(9): 3065-3090.
[19] LUI Y S, TSE L K S, TAM C Y, et al. Performance of MPAS-A and WRF in predicting and simulating western North Pacific tropical cyclone tracks and intensities[J]. Theoretical and Applied Climatology, 2021, 143(1): 505-520.
[20] DONKIN P T, ABIODUN B J. Capability and sensitivity of MPAS-A in simulating tropical cyclones over the South-West Indian Ocean[J]. Modeling Earth Systems and Environment, 2023, 9(1): 527-542.
[21] PENG W, ZHANG Y F, WANG Y, et al. A global coupled atmosphere-wave model system based on C-coupler2. Part I: model description[J]. Journal of Physics: Conference Series, 2024, 2718: 012025.
[22] PENG W, LI X, HAO S, et al. A global coupled atmosphere-wave model system based on C-Coupler2. Part Ⅱ: preliminary results [J]. Journal of Physics: Conference Series, 2024, 2718: 012026.
[23] 孙启振, 丁卓铭, 沈辉, 等. 我国极地数值天气预报系统的初步建立与应用[J]. 海洋预报, 2017, 34(4): 1-10. SUN Q Z, DING Z M, SHEN H, et al. Polar numerical weather prediction system: preliminary establishment and application[J]. Marine Forecasts, 2017, 34(4): 1-10.

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