GEOS-Chem model output for 2018-2019 CAMMPCAN Aurora Australis voyages

Progress Code: completed The dataset provides model output from the GEOS-Chem chemical transport model to support the CAMMPCAN and MARCUS 2018-2019 voyages. The model version used was GEOS-Chem v12.8.1, with DOI:10.5281/zenodo.3837666. The DOI should be cited when using this dataset. Modifications w...

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Bibliographic Details
Other Authors: AADC (owner), AADC, DATA OFFICER (distributor), AADC, DATA OFFICER (custodian), AU/AADC > Australian Antarctic Data Centre, Australia (hasAssociationWith), Australian Antarctic Data Centre (publisher), Australian Antarctic Division (sponsor), FISHER, JENNY (collaborator), FISHER, JENNY (hasPrincipalInvestigator), FISHER, JENNY (author), SCHOFIELD, ROBYN (collaborator), SCHOFIELD, ROBYN (hasPrincipalInvestigator), SEBASTIANELLI, PAOLO (collaborator), SEBASTIANELLI, PAOLO (hasPrincipalInvestigator), Sebastianelli, P., Fisher, J. and Schofield, R. (originator)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
AMD
Online Access:https://researchdata.edu.au/geos-chem-model-australis-voyages/2820891
Description
Summary:Progress Code: completed The dataset provides model output from the GEOS-Chem chemical transport model to support the CAMMPCAN and MARCUS 2018-2019 voyages. The model version used was GEOS-Chem v12.8.1, with DOI:10.5281/zenodo.3837666. The DOI should be cited when using this dataset. Modifications were made to the standard v12.8.1 to include abiotic ocean emissions of volatile organic compounds as implemented in Travis et al. (2020). The model was running using MERRA-2 meteorology at 2°x2.5° (latitude x longitude) horizontal resolution with 47 vertical levels throughout the entire period of the voyages. These model runs were preceded by the model runs for the 2017-2018 voyages, in turn preceded a 6-month spin-up at 4°x5° beginning 1 May 2017. The following output types are included (for variable names, see below): 1. Output along the shiptrack Filenames: mrg20m_SS_ss_YYYYMMDD.txt The model has been sampled to directly match the location of the ship at every minute during the voyages. The output is then averaged to ensure there is only one data point for each unique model gridbox-timestep combination. The resulting dataset is 1-dimensional, with values for latitude, longitude, and time along with the data variables. These are text files (with space as separator character). 2. Global monthly means Filenames: GEOSChem.{DATA_TYPE}.{YYYYMM}01_monmean.nc4 {DATA_TYPE} can be any of SpeciesConc, StateMet, Aerosols, AerosolMass (see below). {YYYYMM} is the year and month for the data included in the file. The model output has been averaged on a monthly timescale and is provided for all model gridboxes globally. The resulting dataset is 3-dimensional (longitude, latitude, level). These are netcdf files. 3. Regional daily means Filenames: GEOSChem.{DATA_TYPE}.{YYYYMM}01_regional.nc4 {DATA_TYPE} can be any of SpeciesConc, StateMet, Aerosols, AerosolMass (see below). {YYYYMM} is the year and month for the data included in the file. The model output has been averaged on a daily timescale and is provided for all gridboxes in ...