大气科学2013，Vol.37Issue(2)：411-424,14.DOI:10.3878/j.issn.1006-9895.2012.12308
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
Argo Global Ocean Data Assimilation and Its Applications in Short-Term Climate Prediction and Oceanic Analysis
摘要
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 Nino/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.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Key words
Argo global ocean observations/ Data assimilation/ Short-term climate prediction/ Physical ocean process parameterization/ Ocean-current estimation分类
天文与地球科学引用本文复制引用
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):411-424,14.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 （）
