Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program

• Main Authors: Juhls, Bennet, Morgenstern, Anne, Hölemann, Jens, Eulenburg, Antje, Heim, Birgit, Miesner, Frederieke, Grotheer, Hendrik, Mollenhauer, Gesine, Meyer, Hanno, Erkens, Ephraim, Gehde, Felica Yara, Antonova, Sofia, Chalov, Sergey, Tereshina, Maria, Erina, Oxana, Fingert, Evgeniya, Abramova, Ekaterina, Sanders, Tina, Lebedeva, Liudmila, Torgovkin, Nikolai, Maksimov, Georgii, Povazhnyi, Vasily, Gonçalves-Araujo, Rafael, Wünsch, Urban, Chetverova, Antonina, Opfergelt, Sophie, Overduin, Pier Paul
• Format: Text
• Language: English
• Published: 2024
• Subjects: Arctic Ocean; lena river; permafrost
• Online Access: https://doi.org/10.5194/essd-2024-290; https://essd.copernicus.org/preprints/essd-2024-290/

The Siberian Arctic is warming rapidly, causing permafrost to thaw and altering the biogeochemistry of aquatic environments, with cascading effects on the coastal and shelf ecosystems of the Arctic Ocean. The Lena River, one of the largest Arctic rivers, drains a catchment dominated by permafrost. Baseline discharge biogeochemistry data is necessary to understand present and future changes in land-to-ocean fluxes. Here, we present a high-frequency, 4.5-year-long dataset from a sampling program of the Lena River’s biogeochemistry, spanning April 2018 to August 2022. The dataset comprises 587 sampling events and measurements of various parameters, including water temperature, electrical conductivity, stable oxygen and hydrogen isotopes, dissolved organic carbon concentration and 14 C, coloured and fluorescent dissolved organic matter, dissolved inorganic and total nutrients, and dissolved elemental and ion concentrations. Sampling consistency and continuity and data quality were ensured through simple sampling protocols, real-time communication, and collaboration with local and international partners. The data is available as a collection of datasets separated by parameter groups and periods at https://doi.org/10.1594/PANGAEA.913197 (Juhls et al., 2020b). To our knowledge, this dataset provides an unprecedented temporal resolution of an Arctic river’s biogeochemistry. This makes it a unique baseline on which future environmental changes, including changes in river hydrology, at temporal scales from precipitation event to seasonal to interannual, can be detected.