Meteorological observations at Bayelva Station in 2021 (level 1)

• Main Authors: Boike, Julia, Grünberg, Inge, Miesner, Frederieke, Bornemann, Niko, Cable, William L, Lange, Stephan
• Format: Dataset
• Language: English
• Published: PANGAEA 2022
• Subjects: air temperature; AWI_Perma; AWIPEV; AWIPEV_based; Bayelva; Bayelva_Station; DATE/TIME; Humidity; relative; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; Net radiation; Ny-Ålesund; Spitsbergen; Permafrost; Permafrost Research; Permittivity; precipitation; Quality flag; relative humidity; short-wave downward (GLOBAL) radiation; short-wave upward (REFLEX) radiation; snow height; wind direction; wind speed; radiation; Arctic; Svalbard; Ny Ålesund; permafrost
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.948950; https://doi.org/10.1594/PANGAEA.948950

Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for more than the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth, snow dielectric number, snow temperature, liquid precipitation, air temperature, relative humidity, wind speed and direction and radiation fluxes. They are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.