Retrieval and analysis of sea surface air temperature and relative humidity
文献类型：CNKI期刊论文
| 作者 | Wu YM(伍玉梅); He Yijun; Shen Hui |
| 发表日期 | 2015-03-15 |
| 出处 | High Technology Letters
 |
| 关键词 | sea surface air temperature relative humidity(RH) artificial neural network(ANN) empirical orthogonal function(EOF) |
| 英文摘要 | Air temperature and relative humidity have been the main parameters of meteorology study.In the past data could be obtained from in-situ observations,but the observations are local and sparse,especially over ocean.Now we can get them from satellites,yet it is hard to estimate them from satellites directly so far.This paper presents a new method to retrieve monthly averaged sea air temperature(SAT) and relative humidity(RH) near sea surface from satellite data with artificial neural networks(ANN).Compared with the observations in Pacific and Atlantic,the root mean square(RMS) and the correlation between the estimated SAT and the observations are about 0.911 and0.99,respectively.The RMS and the correlation of RH are about 3.73%and 0.65,respectively.Compared with the multiple regression mediod,the ANN methodology is more powerful in building nonlinear relations in this research.Thus the global monthly average SAT and RH are retrieved from the fixed ANN network from July 1987 to May 2004.In general the annual average SAT shows the increasing trend in recent 18 years.The abnormality of SAT is decomposed with the empirical orthogonal function(EOF).The leading three EOFs could explain 84%of the total variation.EOF1(76.1%) presents the seasonal change of the SAT abnormality.EOF2(4.6%) is mainly related with ENSO.EOF3(3.3%) shows some new interesting phenomena appearing in the three main currents in Pacific,Atlantic and Indian Ocean. |
| 文献子类 | CNKI期刊论文 |
| 资助机构 | Supported by The National Key Technology R&D Program(No.2013BAD13B01) ; the National High Technology Research and Development Program of China(No.2001AA633060) |
| 卷 | v.21期:01页:104-110 |
| 语种 | 英文; |
| 分类号 | P732 |
| ISSN号 | 1006-6748 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/190116]  |
| 专题 | 中国科学院海洋研究所 |
| 作者单位 | 1.KeyLaboratoryofEastChinaSea&OceanicFisheryResourcesExploitationandUtilization,MinistryofAgriculture,EastChinaSeaFisheriesResearchInstitute,ChineseAcademyofFisherySciences 2.InstituteofOceanology,ChineseAcademyofSciences 3.NanjingUniversityofInformationScience&Technology |
| 推荐引用方式 GB/T 7714 | Wu YM,He Yijun,Shen Hui. Retrieval and analysis of sea surface air temperature and relative humidity. 2015. |
入库方式： OAI收割
来源：海洋研究所
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