Estimating the Sea State Bias of Jason-2 Altimeter From Crossover Differences by Using a Three-Dimensional Nonparametric Model
文献类型：期刊论文
| 作者 | Jiang, Maofei; Xu, Ke; Liu, Yalong; Wang, Lei |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2016 |
| 卷号 | 9期号:11页码:5023-5043 |
| 关键词 | Crossover differences mean wave period (MWP) radar altimeter sea state bias (SSB) three-dimensional (3-D) nonparametric (NP) model |
| ISSN号 | 1939-1404 |
| 通讯作者 | Jiang, MF (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China. |
| 英文摘要 | With a standard deviation as large as 2 cm, the sea state bias (SSB) has become the dominant source of error in satellite altimetry. The operational SSB correction models are two-dimensional (2-D) empirical (parametric or nonparametric) models based on the altimeter-measured wind speed (U) and significant wave height (SWH). However, these 2-D SSB models cannot entirely parameterize the range bias variability. The SSB uncertainty may be lowered through improved SSB models including additional measurable or predictable correlatives. This paper presents a method to estimate the SSB from crossover differences by using a three-dimensional (3-D) nonparametric model. The model is based on U, SWH from Jason-2 altimeter ocean observations, and the mean wave period from the European Centre for Medium-Range Weather Forecasts reanalysis project ERA-Interim (The SSB model developed with the method presented in this paper is called "3-D SSB model" and the SSB estimated with the 3-D SSB model is called "3-D SSB estimate"). Simulations indicate that the wave period can greatly affect the SSB. Evaluated by the separate annual datasets from 2009 to 2011, the 3-D SSB estimates can increase the explained variance by 1.32 cm(2), or 1.15-cm RMS relative to the traditional 2-D SSB estimates based on U and SWH. Spatial evaluation of improvement shows that the 3-D SSB estimates are better than the traditional 2-D SSB estimates at all latitudes. The enhancement from 2-D to 3-D SSB estimates is of great significance to improve the precision of the altimeter product.[COMP]: Please set math TYPE gin the sentence below (40) as per the authors PDF. |
| 收录类别 | SCI |
| 语种 | 英语 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/5669]  |
| 专题 | 国家空间科学中心_微波遥感部 |
| 推荐引用方式 GB/T 7714 | Jiang, Maofei,Xu, Ke,Liu, Yalong,et al. Estimating the Sea State Bias of Jason-2 Altimeter From Crossover Differences by Using a Three-Dimensional Nonparametric Model[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2016,9(11):5023-5043. |
| APA | Jiang, Maofei,Xu, Ke,Liu, Yalong,&Wang, Lei.(2016).Estimating the Sea State Bias of Jason-2 Altimeter From Crossover Differences by Using a Three-Dimensional Nonparametric Model.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,9(11),5023-5043. |
| MLA | Jiang, Maofei,et al."Estimating the Sea State Bias of Jason-2 Altimeter From Crossover Differences by Using a Three-Dimensional Nonparametric Model".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 9.11(2016):5023-5043. |
入库方式： OAI收割
来源：国家空间科学中心
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