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| Argo大洋观测资料的同化及其在短期气候预测和海洋分析中的应用 | |
| 引用本文： | 张人禾,朱江,许建平,刘益民,李清泉,牛涛.Argo大洋观测资料的同化及其在短期气候预测和海洋分析中的应用[J].大气科学,2013,37(2):411-424. |
| 作者姓名： | 张人禾 朱江 许建平 刘益民 李清泉 牛涛 |
| 作者单位： | 1. 中国气象科学研究院灾害天气国家重点实验室,北京,100081 2. 中国科学院大气物理研究所国际气候与环境科学中心,北京,100029 3. 国家海洋局第二海洋研究所卫星海洋环境动力学国家重点实验室,杭州,310012 4. 国家气候中心,北京,100081 |
| 基金项目： | 国家重点基础研究发展计划项目2012CB417404,国家科技基础性工作专项2012FY112300,国家自然科学基金项目41221064、41075064 |
| 摘 要： | 国际Argo(Array for Real-time Geostrophic Oceanography)计划的实施,提供了前所未有的全球深海大洋0～2000 m水深范围内的海水温度和盐度观测资料,在大气和海洋科研业务中应用这一全新的资料,是深入认识大气和海洋变异、提高我国气候预测、海洋监测分析和预报能力的一个关键所在.通过开发非线性温—盐协调同化方案和利用同化高度计资料来调整模式的温度和盐度场,建立了可同化包括Argo等多种海洋观测资料的全球海洋资料变分同化系统,提高了对全球海洋的监测分析能力.实现了海洋资料同化系统与全球海气耦合模式的耦合,显著提高了短期气候预测水平.利用Argo资料改进了海洋动力模式中的物理过程参数化方案,有效提高了海洋模式对真实大洋的模拟能力和对厄尔尼诺/拉尼娜的预测能力.开发了利用Argo浮标漂流轨迹推算全球海洋表层和中层流的方法,提高了推算的全球表层流、中层流资料质量,有效弥补了洋流观测的匮乏. |
| 关 键 词： | Argo大洋观测资料 资料同化 短期气候预测 海洋物理过程参数化 海流估算 |
| 收稿时间： | 2012/10/9 0:00:00 |
| 修稿时间： | 2012/11/5 0:00:00 |
Argo Global Ocean Data Assimilation and Its Applications in Short-Term Climate Prediction and Oceanic Analysis |
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| ZHANG Renhe,ZHU Jiang,XU Jianping,LIU Yimin,Li Qingquan and NIU Tao.Argo Global Ocean Data Assimilation and Its Applications in Short-Term Climate Prediction and Oceanic Analysis[J].Chinese Journal of Atmospheric Sciences,2013,37(2):411-424. | |
| Authors: | ZHANG Renhe ZHU Jiang XU Jianping LIU Yimin Li Qingquan and NIU Tao |
| Institution: | State Key Laboratory of Severe Weather (LaSW), Chinese Academy of Meteorological Sciences, Beijing 100081;International Center for Climate and Environment Sciences (ICCES), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;State Key Laboratory of Satellite Ocean Environment Dynamics (SOED), the Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012;State Key Laboratory of Severe Weather (LaSW), Chinese Academy of Meteorological Sciences, Beijing 100081;National Climate Center, Beijing 100081;State Key Laboratory of Severe Weather (LaSW), Chinese Academy of Meteorological Sciences, Beijing 100081 |
| Abstract: | The implementation of the international Array for Real-time Geostrophic Oceanography (Argo) Project facilitates unprecedented global ocean observations of sea-water temperature and salinity from the sea surface to a depth of 2000 m. Application of these new oceanic data in atmospheric and oceanic research and operation is essential for understanding the atmospheric and oceanic variability and increasing the accuracy of climate prediction and oceanic monitoring and analysis. The global ocean data assimilation systems are set up by developing a nonlinear temperature- salinity coordinated assimilation scheme and adjusting the temperature and salinity on the basis of altimetry data, which enhances the monitoring and analyzing capability for the global ocean. The global ocean data assimilation systems are integrated with coupled atmosphere-ocean models, which increases the forecast skills for short-term climate prediction. Argo data are applied for improving physical parameterization schemes in oceanic models, and the model capability of describing the real oceans and forecasting El Niño/Southern Oscillation is increased. A novel method has been developed for estimating surface and mid-layer ocean currents on the basis of the trajectories of Argo float drifting, which improves the accuracy of estimation of global surface and mid-layer ocean currents and makes up the insufficiency in observed ocean currents. |
| Keywords: | Argo global ocean observations Data assimilation Short-term climate prediction Physical ocean process parameterization Ocean-current estimation |
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