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.

This dataset of 2023 is a continuation of a data record, which was published in Boike et al. (2018), doi:10.5194/essd-10-355-2018. If you use this dataset, please cite this publication.