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Sea Turtles for Ocean Research and Monitoring: Overview and Initial Results of the STORM Project in the Southwest Indian Ocean

机译:海龟进行海洋研究和监测:概述和印度海南风暴项目的初步结果

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Surface and sub-surface ocean temperature observations collected by sea turtles (ST) during the first phase (Jan-2019 – April 2020) of the Sea Turtle for Ocean Research and Monitoring (STORM) program are compared against in-situ and satellite temperature measurements, and later relied upon to assess the performance of Glo12 ocean model forecasts over the west tropical Indian Ocean. The evaluation of ocean temperature profiles collected by STs against collocated ARGO drifter measurements show good agreement, with imperceptible discrepancies at all sample depths (0-250m). Comparisons against various operational satellite sea surface temperature (SST) products indicate a slight overestimation of ST-borne temperature observations of ~ 0.1° /- 0.6° that is consistent with expected uncertainties on satellite derived SST data. Comparisons of ST-borne surface and subsurface temperature observations against Glo12 operational ocean model forecasts demonstrate the good performance of modelled surface and subsurface (50m), the model is however shown to significantly underestimate ocean temperatures as already noticed from global evaluation scores performed operationally at the basin scale. The distribution of model errors also shows significant spatial and temporal variability in the first 50 m of the ocean, which will be further investigated in the next phases of the STORM project.
机译:海龟(ST)在海龟(2019年4月2020年)的海龟(2019年4月2020)的海龟(2019年4月20日)的表面和亚表面海洋温度观察与原位和卫星温度测量相比然后依靠评估GLO12海洋模型预测在西部热带印度洋的性能。 STS收集的海洋温度分布对由STS收集的抗置型ARGO漂移测量的评估表现出良好的一致性,所有样品深度(0-250米)的难以察觉的差异。针对各种操作卫星海面温度(SST)产品的比较表明,略微高估了ST-antoude温度观察,其与卫星衍生SST数据的预期不确定性一致。 ST-STAILE表面和地下温度观测对GLO12操作海洋模型的比较展示了建模表面和地下(50米)的良好性能,然而,该模型被证明是显着低估的海洋温度,正如已经在操作上进行的全局评估分数所发现的盆地比例。模型误差的分布也显示出在海洋的前50米中显示出显着的空间和时间变异性,这将在暴风雨项目的下一个阶段进一步研究。

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