Objective analysis for merging multisensory chlorophyll <i>a</i> data

Shi Yingni; Zhang Tinglu; Shi Lijian; Hu Xiaohua; Nan Mingxing

doi:10.3969/j.issn.0253-4193.2016.03.008

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Shi Yingni, Zhang Tinglu, Shi Lijian, Hu Xiaohua, Nan Mingxing. Objective analysis for merging multisensory chlorophyll a data[J]. Haiyang Xuebao, 2016, 38(3): 82-87. doi: 10.3969/j.issn.0253-4193.2016.03.008

Citation:

Shi Yingni, Zhang Tinglu, Shi Lijian, Hu Xiaohua, Nan Mingxing. Objective analysis for merging multisensory chlorophyll a data[J]. Haiyang Xuebao, 2016, 38(3): 82-87. doi: 10.3969/j.issn.0253-4193.2016.03.008

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Objective analysis for merging multisensory chlorophyll a data

doi: 10.3969/j.issn.0253-4193.2016.03.008

1.
College of Information Science & Engineering, Ocean University of China, Qingdao 266100, China;Mailbox NO 5111, Beijing 100094, China
2.
College of Information Science & Engineering, Ocean University of China, Qingdao 266100, China
3.
National Satellite Ocean Application Service, Beijing 100081, China;Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration, Beijing 100081, China
4.
Mailbox NO 5111, Beijing 100094, China
5.
Mailbox NO 2433, Beijing 100081, China

Received Date: 2015-04-01
Rev Recd Date: 2015-07-15

Abstract

Abstract

In this paper,the objective analysis method is studied to merge the daily chlorophyll a concentration products over the northwest Pacific from three ocean color sensors:Moderate Resolution Imaging Spectroradiometer (MODIS) on the Aqua platform,MODIS on the Terra platform and the Medium Resolution Imaging Spectrometer(MERIS) on the ENVISAT platform. The objective analysis method is evaluated from the spatial coverage ratio and the accuracy of the merged result. The evaluation result showed that the spatial coverage of objective analysis method products is much larger than that of the single sensor products and the GSM merged products. Through validation with the in-situ data during periods from 2002 to 2012,the matched data of the GSM merged data and the Objective Analysis method merged data is 578 and 1 432,respectively. The correlation coefficient and the root mean square error (RMSE) of the GSM merged data are -0.20 mg/m³ and 0.37 mg/m³. The same evaluation parameters of objective analysis are -0.21 mg/m³ and 0.36 mg/m³. The results show that the objective analysis is an effective method for merging chlorophyll a data and the product of this method has the similar accuracy with other products and higher spatial coverage ratio.
- objective analysis method,
- data merge,
- chlorophyll a concentration,
- spatial coverage,
- validation

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References(17)

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