Atmospheric Surface Flux Station #50 measurements (Level 3 Final), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 - September 2020.

• Main Authors: Christopher Cox, Michael Gallagher, Matthew Shupe, Ola Persson, Andrey Grachev, Amy Solomon, Thomas Ayers, David Costa, Jennifer Hutchings, Jesse Leach, Sara Morris, Jackson Osborn, Sergio Pezoa, Taneil Uttal
• Format: Dataset
• Language: unknown
• Published: Arctic Data Center 2023
• Subjects: Surface Energy Budget; Arctic Atmosphere; Radiation; Atmosphere-Ice Interactions; Arctic Climate; Arctic; Osborn; Persson; ice pack; Sea ice
• Online Access: https://doi.org/10.18739/A2XD0R00S

Final, processed (Level 3) measurements and derive parameters from the Atmospheric Surface Flux Station #50 (ASFS50) deployed at various locations during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition drifting with the central Arctic sea ice from October 2019 through September 2020. The ASFS measured all variables of the surface energy budget, air-ice momentum flux, near-surface meteorology, and local position. Measurements high-resolution 3-dimensional winds were observed at a nominal height of 4-m. Measurements of upwelling broadband radiation and meteorology observed from a nominal height of 2-m. The measurements are included in two netCDF files per day. The “1min” mosmet files are comprised of 1-min averages of measured and derived variables, including near-surface meteorology, surface skin temperature, snow depth, radiative fluxes, and position. The “10min” mosseb files are 10-min averages of the same variables as in the 1-min files and also include calculations of turbulent sensible and latent heat fluxes, momentum flux, and other turbulence parameters using both eddy covariance and bulk methodologies, all valid for the 10-min intervals. Both of these file types also contain a “_qc” variable paired with each measurement variable, or family of variables, that is a temporally-matched quality control code: 0 = good data, 1 = caution (data may be suspect), 2 = bad data, 3 = engineering (data was collected for testing purposes and is unsuitable for scientific research), and -1 = missing (no data was collected). Data with associated qc flag = 2 or qc flag = 3 have been removed from the data set as they are not appropriate for scientific use. Data with associated qc flag = 1 are retained in the data set, but should be considered with caution and their removal from analysis is at the discretion of the user. A detailed documentation of the measurement conditions, the processing steps taken to construct this data set, and other caveats and uncertainties are provided in an accompanying published data manuscript (Cox et al. 2023). For the scientific purposes of most users, we recommend use of the Level 3 data files, as these include only the best estimates of essential climate variables. Level 2 data is useful for those that want enhanced turbulence diagnostics parameters and/or to consider the use of some data that has been flagged as unsuitable for research. These data were obtained via a collaboration among the University of Colorado, NOAA Physical Sciences Laboratory, and the NOAA Global Ocean Monitoring and Observing (GOMO) program. Cox, C.J., M. Gallagher, M.D. Shupe, P.O.G. Persson, A. Solomon, C. W. Fairall, T. Ayers, B. Blomquist, I. Brooks, D. Costa, A. Grachev, D. Gottas, J. Hutchings, M. Kutchenreiter, J. Leach, S.M. Morris, V. Morris, J. Osborn, S. Pezoa, A. Preusser, L. Riihimaki, and T. Uttal (2023): Continuous observations of the surface energy budget and meteorology over Arctic sea ice during MOSAiC. Nature Scientific Data.