A global eddy-resolving ocean forecast system in China – LICOM Forecast System (LFS)

IF 1.7 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
Hailong Liu, P. Lin, Weipeng Zheng, Y. Luan, Jinfeng Ma, M. Ding, H. Mo, L. Wan, Tiejun Ling
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引用次数: 10

Abstract

ABSTRACT A global eddy-resolving forecast system LFS is developed based on a primitive ocean general circulation model. The system's configuration, forecast experiments, and a preliminary evaluation of the preoperational system are shown. In the preoperational stage, since the full data assimilation has not yet been set up for LFS, the initial state is obtained by nudging the ocean temperature and salinity from an ocean analysis dataset. Despite this, the LFS demonstrates a generally good performance in short-term oceanography forecasting, except for sea level anomaly (SLA). The median values of the 1-day forecast leading root mean square error (RMSE) for the sea surface temperature (SST), SLA, upper 2000 m temperature, and salinity are approximately 0.52°C, 0.10 m, 0.57°C and 0.13 psu, respectively. Although there are slight warm biases in the forecasted SST, the forecasts of temperature and salinity in the thermocline by the LFS are comparable with the results of operational oceanography systems under the framework of the Intercomparison and Validation Task Team. However, the forecast SLA has a relatively large RMSE related to the absence of direct observational constraints in the initial state. Further investigations are needed to improve the performance of LFS.
中国全球涡旋分辨海洋预报系统——LICOM预报系统(LFS)
基于原始海洋环流模式,建立了全球涡旋分辨预报系统LFS。给出了系统的结构、预测实验和预操作系统的初步评估。在预操作阶段,由于LFS尚未建立完整的数据同化,因此通过从海洋分析数据集中推动海洋温度和盐度来获得初始状态。尽管如此,除了海平面异常(SLA)外,LFS在短期海洋学预报中总体表现良好。海表温度(SST)、海平面高度(SLA)、上层2000 m温度和盐度的1天预报均方根误差(RMSE)中值分别约为0.52°C、0.10 m、0.57°C和0.13 psu。虽然预测的海表温度存在轻微的偏暖,但LFS对温跃层温度和盐度的预测与业务海洋学系统在比对和验证任务小组框架下的结果具有可比性。然而,预报SLA的RMSE相对较大,这与初始状态没有直接观测约束有关。需要进一步的研究来提高LFS的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.50
自引率
9.70%
发文量
8
审稿时长
>12 weeks
期刊介绍: The Journal of Operational Oceanography will publish papers which examine the role of oceanography in contributing to the fields of: Numerical Weather Prediction; Development of Climatologies; Implications of Ocean Change; Ocean and Climate Forecasting; Ocean Observing Technologies; Eutrophication; Climate Assessment; Shoreline Change; Marine and Sea State Prediction; Model Development and Validation; Coastal Flooding; Reducing Public Health Risks; Short-Range Ocean Forecasting; Forces on Structures; Ocean Policy; Protecting and Restoring Ecosystem health; Controlling and Mitigating Natural Hazards; Safe and Efficient Marine Operations
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