Publications by authors named "Andrei Chuprin"

Article Synopsis
  • * Generating a comprehensive ocean colour time series is complex, involving the selection of suitable algorithms, merging data from different satellite sensors, and correcting for inter-sensor biases to ensure a consistent dataset.
  • * Validation against ground-based observations and quantifying uncertainties on a pixel-by-pixel level are crucial for ensuring data quality and supporting accurate climate studies.
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Spectrally resolved water-leaving radiances (ocean colour) and inferred chlorophyll concentration are key to studying phytoplankton dynamics at seasonal and interannual scales, for a better understanding of the role of phytoplankton in marine biogeochemistry; the global carbon cycle; and the response of marine ecosystems to climate variability, change and feedback processes. Ocean colour data also have a critical role in operational observation systems monitoring coastal eutrophication, harmful algal blooms, and sediment plumes. The contiguous ocean-colour record reached 21 years in 2018; however, it is comprised of a number of one-off missions such that creating a consistent time-series of ocean-colour data requires merging of the individual sensors (including MERIS, Aqua-MODIS, SeaWiFS, VIIRS, and OLCI) with differing sensor characteristics, without introducing artefacts.

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