Ocean biomass distribution has a growing importance in the world economy as a global strategic reserve, due to environmental and industrial applications and its variability related to climate change. Satellite imagery allows multi-resolution methodologies to obtain estimation, and hopefully classification, of biomass content over sea surface. This information is largely used in numerical simulations and nowadays represents an important contribute to future projections. Nevertheless, satellite, models and classical in situ monitoring resolution/accuracy sometimes cannot provide data at the finer spatial scales needed to describe the complex three-dimensional water column system. On the other hand, glider surveys allow scientists to collect observations of ocean phenomena at very high resolution along the water column, to assess numerical simulations reliability and, eventually, to assimilate these data into ocean models. In this study, we present a quantitative comparison between the glider observations collected in the Algerian Basin (Western Mediterranean Sea) during the ABACUS surveys from 2014 to 2018, and the daily outputs of two co-located CMEMS model products (i.e., GLB and IBI). The achieved results point out that model products are well correlated with glider potential temperature measurements but they still need improvements to provide a correct representation of the chlorophyll concentration variability in the study area. Generally, IBI daily simulations present higher linear correlation with concurrent glider in situ data than GLB ones. IBI products also reproduce better the pattern of the local maxima of chlorophyll concentration across the Algerian Basin. Nevertheless, they largely underestimate glider chlorophyll measurements and present significant differences that limit their capability to reproduce its upper ocean concentration that is needed for accomplishing advanced ecological studies.

由于环境和工业应用及其与气候变化相关的可变性，海洋生物量分布作为全球战略储备在世界经济中的重要性日益增加。卫星图像允许使用多分辨率方法来估计海面生物量含量，并希望对其进行分类。这些信息主要用于数值模拟，现在代表了对未来预测的重要贡献。然而，卫星、模型和经典的原位监测分辨率/准确度有时无法提供描述复杂三维水柱系统所需的更精细空间尺度的数据。另一方面，滑翔机调查使科学家能够沿水柱以非常高的分辨率收集海洋现象的观察结果，评估数值模拟的可靠性，并最终将这些数据同化到海洋模型中。在本研究中，我们对 2014 年至 2018 年 ABACUS 调查期间在阿尔及利亚盆地（西地中海）收集的滑翔机观测数据与两个并置的 CMEMS 模型产品（即 GLB 和 IBI）的每日输出进行了定量比较。 ）。取得的结果指出，模型产品与滑翔机潜在温度测量值密切相关，但它们仍需要改进以提供研究区域叶绿素浓度变化的正确表示。通常，与 GLB 相比，IBI 日常模拟与并发滑翔机现场数据的线性相关性更高。IBI 产品还可以更好地再现整个阿尔及利亚盆地叶绿素浓度局部最大值的模式。然而，他们在很大程度上低估了滑翔机叶绿素测量值，并且存在显着差异，限制了他们再现完成高级生态研究所需的上层海洋浓度的能力。