Eddy-covariance and meteorological measurements of large pond and polygonal tundra in Lena River Delta, Siberia (summer 2019)

• Main Authors: Beckebanze, Lutz, Rehder, Zoé, Norman, Rüggen, Holl, David, Mirbach, Charlotta, Wille, Christian, Kutzbach, Lars
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2021
• Subjects: carbon dioxide; carbon fluxes; Eddy covariance; Lena Delta; Methane; permafrost; pond; DATE/TIME; Carbon dioxide, flux; Quality flag; Methane, flux; Wind speed; Wind direction; Friction velocity; Carbon dioxide, flux, in mass carbon; Carbon dioxide, flux, standard deviation; Eddy covariance footprint, contribution of surface class; Temperature, air; Air temperature at 2 m height; Humidity, relative; Long-wave downward radiation; Long-wave upward radiation; Short-wave downward GLOBAL radiation; Short-wave upward REFLEX radiation; Flux tower; Licor 7200; Licor 7700; 3D sonic anemometer Gill Windmaster Pro, Hampshire, UK; Thermometer/Hygrometer, Vaisala, HMP155; Net radiometer; RU-Land_2019_Lena; AWI Arctic Land Expedition; Carbon in Permafrost / Kohlenstoff im Permafrost KoPF; Cluster of Excellence Climate, Climatic Change, and Society CLICCS; Arctic; lena delta; lena river; Tundra; Siberia
• Online Access: https://dx.doi.org/10.1594/pangaea.937594; https://doi.pangaea.de/10.1594/PANGAEA.937594

To compare the carbon fluxes between semi-terrestrial tundra and ponds, which cover a significant fraction of northern peatlands, we installed a temporary Eddy Covariance tower next to a merged polygonal pond in the Lena River Delta. The resulting dataset includes the sensible heat flux, latent heat flux, CO2 flux, and CH4 flux. Additionally, the dataset contains meteorological observations, an estimate of the footprint coverage, and estimated CO2 fluxes from the merged polygonal pond and the semi-terrestrial polygonal tundra, respectively. The dataset was recorded between 11 July and 10 September 2019. Further information on the dataset can be found in https://doi.org/10.5194/bg-2021-212