The ARM-type Lagrangian trajectory-based large-scale forcing data product (ARMLAGTRAJ) is developed to address data needs for ship-based field campaigns. Scientists can use ARMLAGTRAJ to drive single-column models, cloud-resolving models, and large-eddy simulation models in a Lagrangian framework, as well as to compare their simulation results of clouds and radiation with observations.
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ARMLAGTRAJ was developed by applying the lagtraj algorithm (Boeing et al. 2020) and generating Lagrangian forcings based on European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis version 5 (ERA5) data using a fully automated framework. The trajectory of the forcing domain follows the movements of the ship-based observational platforms.
A unique feature of ARMLAGTRAJ is the inclusion of the variables from the available ARM measurements (e.g., column precipitable water, liquid water path, and surface downwelling and upwelling shortwave and longwave fluxes), which allows for direct comparison between the ERA5 and ARM observations.
ARMLAGTRAJ provides monthly data files in netCDF format, with a time resolution of 60 minutes and a vertical resolution of 25 hPa.
Reference: Boeing S, L Denby, PN Blossey, R Neggers, Z Cui, R Burton, and L Saffin. 2020. “Sensitivity of EUREC4A/ATOMIC LES to large-scale tendencies.” Presented at the 2020 American Geophysical Union (AGU) Fall Meeting, virtual.