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首页> 外文期刊>Ocean science >Assessment of the spectral downward irradiance at the surface of the Mediterranean Sea using the radiative Ocean-Atmosphere Spectral Irradiance Model (OASIM)
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Assessment of the spectral downward irradiance at the surface of the Mediterranean Sea using the radiative Ocean-Atmosphere Spectral Irradiance Model (OASIM)

机译:利用辐射海洋气氛光谱辐照辐照模型评估地中海表面的光谱向下辐照度(OASIM)

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A multiplatform assessment of the Ocean–Atmosphere Spectral Irradiance Model (OASIM) radiative model focussed on the Mediterranean Sea for the period 2004–2017 is presented. The BOUée pour l'acquiSition d'une Série Optique à Long termE (BOUSSOLE) mooring and biogeochemical Argo (BGC-Argo) float optical sensor observations are combined with model outputs to analyse the spatial and temporal variabilities in the downward planar irradiance at the ocean–atmosphere interface. The correlations between the data and model are always higher than 0.6. With the exception of downward photosynthetic active radiation and the 670?nm channel, correlation values are always higher than 0.8 and, when removing the inter-daily variability, they are higher than 0.9. At the scale of the BOUSSOLE sampling (15?min temporal resolution), the root mean square difference oscillates at approximately 30?%–40?% of the averaged model output and is reduced to approximately 10?% when the variability between days is filtered out. Both BOUSSOLE and BGC-Argo indicate that bias is up to 20?% for the irradiance at 380 and 412?nm and for wavelengths above 670?nm, whereas it decreases to less than 5?% at the other wavelengths. Analysis of atmospheric input data indicates that the model skill is strongly affected by cloud dynamics. High skills are observed during summer when the cloud cover is low.
机译:介绍了2004 - 2017年期间聚焦地中海的海洋气氛光谱辐照模型(OASIM)辐射模型的多平台评估。 Bouéeplel'收购D'UneSérieOptiqueàLeghere(Boussole)系泊和生物地球化学Argo(BGC-Argo)浮动光学传感器观测结合了模型输出,分析了海洋向下平面辐照度的空间和时间变量-AtmoSphere接口。数据和模型之间的相关性始终高于0.6。除了向下光合主动辐射和670·nm通道外,相关值始终高于0.8,并且在去除日常间可变性时,它们高于0.9。在Boussole采样的规模(15?分钟时间分辨率),根部均线差振荡平均模型输出的大约30?% - 40?%,并且当过滤天数之间的可变性时,减少到大约10?%出去。 Boussole和BGC-ARGO都表明,在380和412Ω·Nm处的辐照度和670℃以上的波长,偏差高达20·%。大气输入数据分析表明模型技能受云动态的强烈影响。当云覆盖率低时,夏季期间观察到高技能。

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