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

IF 1.7 3区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Operational Oceanography Pub Date : 2018-12-09 DOI:10.1080/1755876X.2018.1552358
Bertrand Saulquin, F. Gohin, O. Fanton d'Andon
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引用次数: 19

Abstract

ABSTRACT 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.
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在欧洲哥白尼-海洋环境监测服务框架下,全球和欧洲尺度上卫星衍生的多算法叶绿素-a估计值的插值场
本文介绍了哥白尼海洋环境服务免费提供的新的4级每日叶绿素-a插值产品,旨在提供两种不同分辨率(全球4*4公里和欧洲1*1公里)卫星衍生叶绿素-a地表浓度的每日连续场(无云)。多传感器每日分析,通过填充浑浊像素,提供叶绿素-a的高频检索,有助于更好地监测浮游植物生物量。从方法学的角度来看,我们的方法是将叶绿素-a估算的水型合并和基于克里格方法的最佳插值与区域各向异性协方差模型相结合。这些分析产品的设计是为了满足最终用户的期望,考虑到多云条件下典型的缺乏观测,以及案例1(少营养)和案例2(浑浊)水分类所涉及的可用算法的历史多样性。这些产品收集了MODIS(中分辨率成像光谱仪),MERIS(中分辨率成像光谱仪),SeaWiFS(海上观察宽视场传感器),VIIRS(可见红外成像辐射计套件)和OLCI(海洋和陆地颜色仪器)从1997年到现在的日常观测数据。为每个像素提供总产品不确定度,即插值和产品误差的组合。
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来源期刊
CiteScore
7.50
自引率
9.70%
发文量
8
审稿时长
>12 weeks
期刊介绍: The Journal of Operational Oceanography will publish papers which examine the role of oceanography in contributing to the fields of: Numerical Weather Prediction; Development of Climatologies; Implications of Ocean Change; Ocean and Climate Forecasting; Ocean Observing Technologies; Eutrophication; Climate Assessment; Shoreline Change; Marine and Sea State Prediction; Model Development and Validation; Coastal Flooding; Reducing Public Health Risks; Short-Range Ocean Forecasting; Forces on Structures; Ocean Policy; Protecting and Restoring Ecosystem health; Controlling and Mitigating Natural Hazards; Safe and Efficient Marine Operations
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