4.7 Article

Technical note: Seamless gas measurements across the land-ocean aquatic continuum - corrections and evaluation of sensor data for CO2, CH4 and O2 from field deployments in contrasting environments

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BIOGEOSCIENCES
卷 18, 期 4, 页码 1351-1373

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COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/bg-18-1351-2021

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  1. CCASCADES - European Union [643052]
  2. Digital Earth

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The ocean and inland waters have significant differences in greenhouse gas concentrations, leading to challenges in understanding the global carbon system. The study highlights the need for increased spatiotemporal monitoring and a way to homogenize methods and data streams in ocean and limnic realms.
The ocean and inland waters are two separate regimes, with concentrations in greenhouse gases differing on orders of magnitude between them. Together, they create the land-ocean aquatic continuum (LOAC), which comprises itself largely of areas with little to no data with regards to understanding the global carbon system. Reasons for this include remote and inaccessible sample locations, often tedious methods that require collection of water samples and subsequent analysis in the lab, and the complex interplay of biological, physical and chemical processes. This has led to large inconsistencies, increasing errors and has inevitably lead to potentially false upscaling. A set-up of multiple pre-existing oceanographic sensors allowing for highly detailed and accurate measurements was successfully deployed in oceanic to remote inland regions over extreme concentration ranges. The set-up consists of four sensors simultaneously measuring pCO(2), pCH(4) (both flow-through, membrane-based non-dispersive infrared (NDIR) or tunable diode laser absorption spectroscopy (TDLAS) sensors), O-2 and a thermosalinograph at high resolution from the same water source. The flexibility of the system allowed for deployment from freshwater to open ocean conditions on varying vessel sizes, where we managed to capture day-night cycles, repeat transects and also delineate small-scale variability. Our work demonstrates the need for increased spatiotemporal monitoring and shows a way of homogenizing methods and data streams in the ocean and limnic realms.

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