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Interpolated fields of satellite-derived multi-algorithm chlorophyll-a estimates at global and European scales in the frame of the European Copernicus-Marine Environment Monitoring Service
Journal of Operational Oceanography ( IF 3.1 ) Pub Date : 2018-12-09 , DOI: 10.1080/1755876x.2018.1552358
Bertrand Saulquin 1 , Francis Gohin 2 , Odile Fanton d’Andon 1
Affiliation  

The new level-4 daily chlorophyll-a interpolated products described in this paper and freely available in the Copernicus-Marine Environment Service, aim at providing daily continuous fields (cloud-free) of satellite-derived chlorophyll-a surface concentration at two different resolutions: 4*4 km over the world and 1*1 km resolution over Europe. The multi-sensor daily analyses, by filling the cloudy pixels, provide high-frequency retrievals of chlorophyll-a which can contribute to a better monitoring of the phytoplankton biomass. From a methodological point of view our approach is a combination of a water-typed merge of chlorophyll-a estimates and an optimal interpolation based on the kriging method with regional anisotropic covariance models. These analysed products have been designed to meet the expectations of the end users, by considering both the typical lack of observations during cloudy conditions and the historical multiplicity of available algorithms involved by case 1 (oligotrophic) and case 2 (turbid) water classifications. These products gather MODIS (Moderate Resolution Imaging Spectroradiometer), MERIS (MEdium Resolution Imaging Spectrometer), SeaWiFS (Sea-viewing Wide Field-of-view Sensor), VIIRS (Visible Infrared Imaging Radiometer Suite) and OLCI (Ocean and Land Colour Instrument) daily observations from 1997 to the present. A total product uncertainty, i.e. a combination of the interpolation and the product error, is provided for each pixel.



中文翻译:

在欧洲哥白尼-海洋环境监测局的框架下,在全球和欧洲范围内,卫星衍生的多算法叶绿素-a的内插域估计

本文介绍了新的4级日常叶绿素a插值产品,可在哥白尼海洋环境服务中免费获得,目的是提供两种不同分辨率的卫星衍生叶绿素a表面浓度的每日连续场(无云) :全球4 * 4公里,欧洲1 * 1公里。多传感器每日分析通过填充浑浊像素来提供叶绿素a的高频检索,这有助于更好地监测浮游植物生物量。从方法论的角度来看,我们的方法是将水型叶绿素-a估计值合并在一起,并将基于克里金法和区域各向异性协方差模型的最优插值结合在一起。这些经过分析的产品旨在满足最终用户的期望,通过考虑在多云条件下通常缺乏观测值以及案例1(贫营养)和案例2(浑浊)的水分类所涉及的可用算法的历史多样性。这些产品聚集了MODIS(中分辨率成像光谱仪),MERIS(中分辨率成像光谱仪),SeaWiFS(海景宽视场传感器),VIIRS(可见红外成像辐射仪套件)和OLCI(海洋和陆地颜色仪器)从1997年至今的每日观察。为每个像素提供总乘积不确定性,即内插和乘积误差的组合。这些产品聚集了MODIS(中分辨率成像光谱仪),MERIS(中分辨率成像光谱仪),SeaWiFS(海景宽视场传感器),VIIRS(可见红外成像辐射仪套件)和OLCI(海洋和陆地颜色仪器)从1997年至今的每日观察。为每个像素提供总乘积不确定性,即内插和乘积误差的组合。这些产品聚集了MODIS(中分辨率成像光谱仪),MERIS(中分辨率成像光谱仪),SeaWiFS(海景宽视场传感器),VIIRS(可见红外成像辐射仪套件)和OLCI(海洋和陆地颜色仪器)从1997年至今的每日观察。为每个像素提供总乘积不确定性,即内插和乘积误差的组合。

更新日期:2018-12-09
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