| The Application of ARGO Data to the Global Ocean Data Assimilation Operational System of NCC |
| |
| 作者姓名： | LIU Yimin ZHANG Renhe YIN Yonghong NIU Tao |
| |
| 作者单位： | National Climate Center of China，Chinese Academy of Meteorological Sciences，Chinese Academy of Meteorological Sciences，Chinese Academy of Meteorological Sciences Beijing 100081，Beijing 100081，Beijing 100081，Beijing 100081 |
| |
| 基金项目： | Supported by the National Natural Science Foundation of China under Grant No. 40231014. |
| |
| 摘 要： | 1. Introduction It is well-known that the state of ocean plays very important role in the climate change. But there is a paucity of the ocean observation data. The data distri- bution in the space, time and different components is very inhomogeneous, even in some areas, there are no any observation data. Hence, it brings some diffcul- ties to the scientists to study many problems relevant to ocean. This situation has been being changed since ARGO (Array for Real-time Geostrophic Oceanogra-…
|
| 收稿时间： | 2003/11/2 0:00:00 |
| 修稿时间： | 2004/9/16 0:00:00 |
The Application of ARGO Data to the Global Ocean Data Assimilation Operational System of NCC |
| |
| LIU Yimin,ZHANG Renhe,YIN Yonghong,NIU Tao.The Application of ARGO Data to the Global Ocean Data Assimilation Operational System of NCC[J].Acta Meteorologica Sinica,2005,19(3):355-365. |
| |
| Authors: | LIU Yimin ZHANG Renhe YIN Yonghong NIU Tao |
| |
| Institution: | National Climate Center of China, Beijing 100081 Chinese Academy of Meteorological Sciences, Beijing 100081 Chinese Academy of Meteorological Sciences, Beijing 100081 Chinese Academy of Meteorological Sciences, Beijing 100081 |
| |
| Abstract: | In this paper, we have preliminarily studied the application of ARGO (Array for Real-time Geostrophic Oceanography) data to the Global Ocean Data Assimilation System of National Climate Center of China (NCC-GODAS), which mainly contains 4 sub-systems such as data preprocessing, real-time wind stress calculating, variational analysis and interpolating, and ocean dynamic model. For the sake of using ARGO data, the relevant adjustment and improvement have been made at the corresponding aspects in the sub- systems. Using the observation data from 1981 to 2003 including the ARGO data of 2001 to July. 2003, we have performed a series of numerical experiments on this system. Comparing with the corresponding results of NCEP, It is illustrated that using ARGO data can improve the results of NCC-GODAS in the region of the Middle Pacific, for instance SST, SSTA (SST anomalies), Nino index, sea sub-surface temperature, etc. Furthermore, it is obtained that NCC-GODAS benefits from ARGO data in the other regions such as Atlantic Ocean, Indian Ocean, and extratropical Pacific Ocean much more than in the tropical Pacific. |
| |
| Keywords: | ARGO (Array for Real-time Geostrophic Oceanography) data ocean data assimilation dy- namical ocean model 3-dimensional variation SST (sea suface temperature) Nino index |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《Acta Meteorologica Sinica》浏览原始摘要信息 |
| 点击此处可从《Acta Meteorologica Sinica》下载免费的PDF全文 |
