Delayed-mode quality control of oxygen, nitrate and pH data on SOCCOM biogeochemical profiling floats
| Autor: | Kenneth S. Johnson, Joshua N. Plant, Tanya L. Maurer |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Ocean observations Float (project management) 010504 meteorology & atmospheric sciences Science media_common.quotation_subject ocean observation Ocean Engineering profiling float QH1-199.5 Aquatic Science Oceanography 01 natural sciences 03 medical and health sciences ARGO Software Calibration Quality (business) 14. Life underwater Argo 0105 earth and related environmental sciences Water Science and Technology Remote sensing media_common 030304 developmental biology validation Profiling (computer programming) Global and Planetary Change 0303 health sciences business.industry 010604 marine biology & hydrobiology General. Including nature conservation geographical distribution calibration Visual inspection Environmental science business oxygen |
| Zdroj: | Frontiers in Marine Science, Vol 8 (2021) |
| DOI: | 10.1002/essoar.10506241.1 |
| Popis: | The Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project has deployed 194 profiling floats equipped with biogeochemical (BGC) sensors, making it one of the largest contributors to global BGC-Argo. Post-deployment quality control (QC) of float-based oxygen, nitrate, and pH data is a crucial step in the processing and dissemination of such data, as in situ chemical sensors remain in early stages of development. In situ calibration of chemical sensors on profiling floats using atmospheric reanalysis and empirical algorithms can bring accuracy to within 3 μmol O2 kg–1, 0.5 μmol NO3– kg–1, and 0.007 pH units. Routine QC efforts utilizing these methods can be conducted manually through visual inspection of data to assess sensor drifts and offsets, but more automated processes are preferred to support the growing number of BGC floats and reduce subjectivity among delayed-mode operators. Here we present a methodology and accompanying software designed to easily visualize float data against select reference datasets and assess QC adjustments within a quantitative framework. The software is intended for global use and has been used successfully in the post-deployment calibration and QC of over 250 BGC floats, including all floats within the SOCCOM array. Results from validation of the proposed methodology are also presented which help to verify the quality of the data adjustments through time. |
| Databáze: | OpenAIRE |
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