High-resolution meteorological observations, Surface Energy Balance components and miscellaneous data from 10 AWS and one staffed station in Antarctica

The dataset comprises 10 automatic weather stations in Antarctica, deployed and maintained by the Institute for Marine and Atmospheric Research Utrecht (IMAU, https://www.projects.science.uu.nl/iceclimate/aws/index.php, [email protected]), the Netherlands, and data from Neumayer Station (also directly available on PANGAEA from AWI). The dataset is published in Jakobs et al. (in review). The dataset contains observed variables (temperature, wind speed, humidity, pressure, radiation) as well as derived variables (turbulent fluxes, ground heat flux, snow temperature and density, melt rates). The derived variables are calculated with a Surface Energy Balance model, see e.g. Reijmer et al. (1999, doi:10.3189/172756499781821166), Van den Broeke et al. (2005, doi:10.3189/172756405781813168) and Jakobs et al. (2019, doi:10.5194/tc-13-1473-2019)

High-resolution meteorological observations, Surface Energy Balance components and miscellaneous data from AWS IMAU_aws19

The dataset comprises 10 automatic weather stations in Antarctica, deployed and maintained by the Institute for Marine and Atmospheric Research Utrecht (IMAU, https://www.projects.science.uu.nl/iceclimate/aws/index.php, [email protected]), the Netherlands, and data from Neumayer Station (also directly available on PANGAEA from AWI). The dataset is published in Jakobs et al. (in review). The dataset contains observed variables (temperature, wind speed, humidity, pressure, radiation) as well as derived variables (turbulent fluxes, ground heat flux, snow temperature and density, melt rates). The derived variables are calculated with a Surface Energy Balance model, see e.g. Reijmer et al. (1999, doi:10.3189/172756499781821166), Van den Broeke et al. (2005, doi:10.3189/172756405781813168) and Jakobs et al. (2019, doi:10.5194/tc-13-1473-2019)