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AN OPEN-SOURCE PYTHON PACKAGE FOR ac-s DATA ACQUISITION AND PROCESSING
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AI
DOI：10.5670/oceanog.2026.e102.png)
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Abstract
En 中文
. In this work we provide pipelines for acquiring and processing Sea-Bird Scientific Spectral Absorption and Attenuation Sensor (ac-s) data through a high-level Python package. The raw streamed and converted instrument output is complex and requires several post-processing steps rooted in optical theory and empirical methods to create base products for algorithms that approximate biogeochemical properties and appeal to a broader oceanographic community. Datasets from the ac-s are becoming more available in public archives and in real time from large oceanographic infrastructure programs, thus it is important to establish uncomplicated software packages and interfaces that support the implementation of best practices and the distribution of accessible and intuitive data. acspype provides means to perform both instrument-intrinsic and human-in-the-loop corrections with flexibility and clear provenance following well-established manufacturer and research community guidelines. Core functions are provided that allow for the acquisition of realtime data and for post-processing archived datasets. As best practices continue to evolve, acspype would benefit from the addition of time-lag correction functions, methods for assessing instrument drift, and improved uncertainty estimation procedures.
Keywords:
PARTICULATE ORGANIC-CARBON
ABSORPTION
PACIFIC