Editorial Type:
Article
Article Type:
Research Article

A Modified Interpolation Method for Surface Total Nitrogen in the Bohai Sea

Yongzhi Liu Physical Oceanography Laboratory, Ocean University of China, Qingdao, China

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Jie Yu Physical Oceanography Laboratory, Ocean University of China, Qingdao, and Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction Technologies, College of Ocean and Meteorology, Guangdong Ocean University, Guangzhou, China

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Youli Shen Physical Oceanography Laboratory, Ocean University of China, Qingdao, and Beihai Marine Environmental Monitoring Center Station, State Oceanic Administration, BeiHai, China

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Xianqing Lv Physical Oceanography Laboratory, Ocean University of China, Qingdao, China

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Print Publication:
01 Jul 2016
DOI:
https://doi.org/10.1175/JTECH-D-15-0250.1
Page(s):
1509–1517
Restricted access

Abstract

A modified Cressman interpolation method (MCIM) is presented for the routine monitoring data of total nitrogen (TN) in the Bohai Sea to reduce interpolation errors by decreasing the influence radius and introducing background value. In twin experiments, two prescribed distributions are successfully estimated by MCIM with lower interpolation errors than the traditional Cressman interpolation method (TCIM) and the kriging method. In practical experiments, cross validation is applied to evaluate the interpolation results for four quarters in 2009 and 2010. Practical experimental results show that the interpolation results obtained with MCIM are greatly improved and can describe the spatial distribution characteristics of TN in the Bohai Sea with lower mean absolute error than the kriging method.

Corresponding author address: Xianqing Lv, Physical Oceanography Laboratory, Ocean University of China, 238 Songling Road, Qingdao 266003, China. E-mail: xqinglv@ouc.edu.cn

Abstract

A modified Cressman interpolation method (MCIM) is presented for the routine monitoring data of total nitrogen (TN) in the Bohai Sea to reduce interpolation errors by decreasing the influence radius and introducing background value. In twin experiments, two prescribed distributions are successfully estimated by MCIM with lower interpolation errors than the traditional Cressman interpolation method (TCIM) and the kriging method. In practical experiments, cross validation is applied to evaluate the interpolation results for four quarters in 2009 and 2010. Practical experimental results show that the interpolation results obtained with MCIM are greatly improved and can describe the spatial distribution characteristics of TN in the Bohai Sea with lower mean absolute error than the kriging method.

Corresponding author address: Xianqing Lv, Physical Oceanography Laboratory, Ocean University of China, 238 Songling Road, Qingdao 266003, China. E-mail: xqinglv@ouc.edu.cn
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