Reconstruction of sea-surface temperature using AMSR data

Author

Gao, Guoxing ; Chen, Biao ; Zhu, Chuangang ; Wang, Zhenzhan ; Lu, Hao

Author_Institution

Navy Submarine of Acad., Qingdao, China

fYear

2011

fDate

24-26 June 2011

Firstpage

5206

Lastpage

5209

Abstract

This paper presents a model of the Data Interpolating Empirical Orthogonal Functions technique (DINEOF) which allow to reconstruct the sea-surface temperature using AMSR-E data. Simulating results of the model by Monte-Carlo, we analyze the error of reconstruct result, and then choose the reasonable EOF modes and the number of iteration. Considering the correlation of the spatial position of sea-surface temperature (SST), we complete the reconstruction of SST for the region of West-North Pacific Ocean using different modes and different iterative counts, and an example is given correspondingly. This reconstructing method is useful for the fusion of the multi-instrument or multi-time-state data, and which is important for the research and application of the oceanography.

Keywords

Monte Carlo methods; iterative methods; ocean temperature; AMSR data; Monte Carlo method; West-North Pacific Ocean; data interpolating empirical orthogonal functions technique; iterative count; oceanography; sea-surface temperature; Correlation; Meteorology; Monte Carlo methods; Ocean temperature; Satellites; Temperature distribution; AMSR; Reconstruction; Sea-surface temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9172-8

Type

conf

DOI

10.1109/RSETE.2011.5965487

Filename

5965487