Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Met Office Unified Model data and associated Cloudnet outputs (UM_RA2T_Cloudnet) ...

• Main Authors: McCusker, Gillian, Vuellers, Jutta
• Format: Dataset
• Language: English
• Published: NERC EDS Centre for Environmental Data Analysis 2023
• Subjects: Atmospheric sciences and Earth Observation Imagery; Arctic
• Online Access: https://dx.doi.org/10.5285/180f1c51a22f4fc48c947d33f6c0815e; https://catalogue.ceda.ac.uk/uuid/180f1c51a22f4fc48c947d33f6c0815e

Met Office Unified Model single-site (Oden) output during MOCCHA. These model and observation data are used in McCusker et al.: Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System, Atmospheric Chemistry and Physics, 2023. Model data from the Met Office Unified Model are in directory 'um_model_data/'. Data are hourly data taken from grid box closest to ship location. Where the ship covers more than one grid box within an hour period, data are averaged from all grid boxes crossed. All data files are in a netCDF format, with one file per day. Rose suite ID: u-cc568. Model options include: Cloud microphysics: Both the global model and LAM use the PC2 (Wilson et al., 2008) cloud scheme (i_cld_vn = 2); specifically, the LAM uses the RA2T_CON configuration. Also set l_subgrid_qcl_mp to .true. to allow for turbulent production of mixed-phase cloud. Extended boundary layer diagnostic list. U and V wind components interpolated on to common vertical grid. Model data from directory ...