10-day backward trajectories from ECMWF analysis data along the ship track of the Antarctic Circumnavigation Expedition in austral summer 2016/2017.

• Main Authors: Thurnherr, Iris, Wernli, Heini, Aemisegger, Franziska
• Format: Other/Unknown Material
• Language: English
• Published: Zenodo 2020
• Subjects: ECWMF; Southern Ocean; Antarctic Circumnavigation Expedition; ACE; Lagrangian trajectories; Antarc*; Antarctic; Swiss Polar Institute
• Online Access: https://doi.org/10.5281/zenodo.4031705

Dataset abstract This dataset contains 10-day backward trajectories along the ship track of the Antarctic Circumnavigation Expedition from Nov 2016 – April 2017 calculated with the Lagrangian analysis tool LAGRANTO using the 3D-wind fields from the European Centre for Medium Range Weather Forecasts (ECMWF) operational analysis data. The trajectories were started from up to 56 vertical levels between 0 and 500 hPa a.s.l. and various variables were interpolated along the trajectories. Dataset contents trajs_ACE.zip: lsl_${year}${month}${day}_${hour}, trajectory files (containing all trajectories starting at ${year}${month}${day} ${hour}UTC at the ACE track from different vertical levels), comma-separated values fig_map.zip: map_long10_${year}${month}${day}_${hour}.png, map plots of all trajectories starting at ${year}${month}${day} ${hour}UTC coloured by pressure, portable network graphics fig_cross.zip: cross10_q_${year}${month}${day}_${hour}.png, cross-section plots of all trajectories starting at ${year}${month}${day} ${hour}UTC coloured by specific humidity, portable network graphics data_file_header.txt, metadata for lsl-files, text README.txt, metadata, text Dataset license This 10-day backward trajectory dataset from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/ The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. The authors acknowledge MeteoSwiss and ECMWF for the access to the ECMWF operational analyses and forecasts.