Dall'Olmo Giorgio, Bhaskar Tvs Udaya, Bittig Henry, Boss Emmanuel, Brewster Jodi, Claustre Hervé, Donnelly Matt, Maurer Tanya, Nicholson David, Paba Violetta, Plant Josh, Poteau Antoine, Sauzède Raphaëlle, Schallenberg Christina, Schmechtig Catherine, Schmid Claudia, Xing Xiaogang
Sezione di Oceanografia, Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Borgo Grotta Gigante, Trieste, 34010, Italy.
Plymouth Marine Laboratory, Plymouth, PL1 3DH, UK.
Open Res Eur. 2023 May 30;2:118. doi: 10.12688/openreseurope.15047.2. eCollection 2022.
Biogeochemical-Argo floats are collecting an unprecedented number of profiles of optical backscattering measurements in the global ocean. Backscattering (BBP) data are crucial to understanding ocean particle dynamics and the biological carbon pump. Yet, so far, no procedures have been agreed upon to quality control BBP data in real time.
Here, we present a new suite of real-time quality-control tests and apply them to the current global BBP Argo dataset. The tests were developed by expert BBP users and Argo data managers and have been implemented on a snapshot of the entire Argo dataset.
The new tests are able to automatically flag most of the "bad" BBP profiles from the raw dataset.
The proposed tests have been approved by the Biogeochemical-Argo Data Management Team and will be implemented by the Argo Data Assembly Centres to deliver real-time quality-controlled profiles of optical backscattering. Provided they reach a pressure of about 1000 dbar, these tests could also be applied to BBP profiles collected by other platforms.
生物地球化学Argo浮标正在全球海洋收集数量空前的光学后向散射测量剖面数据。后向散射（BBP）数据对于理解海洋颗粒动力学和生物碳泵至关重要。然而，到目前为止，尚未就实时质量控制BBP数据的程序达成一致。
在此，我们提出了一套新的实时质量控制测试，并将其应用于当前全球BBP Argo数据集。这些测试由BBP专业用户和Argo数据管理人员开发，并已在整个Argo数据集的一个快照上实施。
新测试能够自动标记原始数据集中的大多数“不良”BBP剖面。
所提议的测试已得到生物地球化学Argo数据管理团队的批准，并将由Argo数据组装中心实施，以提供光学后向散射的实时质量控制剖面。如果能达到约1000 dbar的压力，这些测试也可应用于其他平台收集的BBP剖面。
