GEOS-Chem model output for 2017-2018 CAMMPCAN Aurora Australis voyages
Progress Code: completed Statement: No problems were encountered with data collection. The dataset provides model output from the GEOS-Chem chemical transport model to support the CAMMPCAN and MARCUS 2017-2018 voyages. The model version used was GEOS-Chem v12.8.1, with DOI:10.5281/zenodo.3837666. Th...
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ftands:oai:ands.org.au::2817726 2024-09-15T17:46:01+00:00 GEOS-Chem model output for 2017-2018 CAMMPCAN Aurora Australis voyages 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) Fisher, J., Sebastianelli, P., Schofield, R. (originator) SCHOFIELD, ROBYN (collaborator) SCHOFIELD, ROBYN (hasPrincipalInvestigator) SEBASTIANELLI, PAOLO (collaborator) SEBASTIANELLI, PAOLO (hasPrincipalInvestigator) Spatial: westlimit=62.867; southlimit=-68.576; eastlimit=158.856; northlimit=-42.882 Temporal: From 2017-10-29 to 2018-03-26 https://researchdata.edu.au/geos-chem-model-australis-voyages/2817726 unknown Australian Ocean Data Network https://researchdata.edu.au/geos-chem-model-australis-voyages/2817726 AAS_4431_CAMMPCAN_GEOS_Chem_Model_AA_2017-18 AU/AADC > Australian Antarctic Data Centre, Australia oceans climatologyMeteorologyAtmosphere EARTH SCIENCE > ATMOSPHERE > AIR QUALITY > VOLATILE ORGANIC COMPOUNDS ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > NON-METHANE HYDROCARBONS/VOLATILE ORGANIC COMPOUNDS CAMMPCAN MARCUS ABIOTIC OCEAN EMISSIONS MERRA-2 CHEMICAL TRANSPORT MODEL GEOS-CHEM Computer > Computer MODELS GEOS-Chem > Global 3-D chemical transport model (CTM) for atmospheric composition driven by meteorological input from the Goddard > Earth Observing System (GEOS) of the NASA Global Modeling and Assimilation Office AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN CONTINENT > ANTARCTICA GEOGRAPHIC REGION > POLAR dataset ftands 2024-08-06T01:58:58Z Progress Code: completed Statement: No problems were encountered with data collection. The dataset provides model output from the GEOS-Chem chemical transport model to support the CAMMPCAN and MARCUS 2017-2018 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 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 ... Dataset Antarc* Antarctica aurora australis Southern Ocean Research Data Australia (Australian National Data Service - ANDS) |
institution |
Open Polar |
collection |
Research Data Australia (Australian National Data Service - ANDS) |
op_collection_id |
ftands |
language |
unknown |
topic |
oceans climatologyMeteorologyAtmosphere EARTH SCIENCE > ATMOSPHERE > AIR QUALITY > VOLATILE ORGANIC COMPOUNDS ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > NON-METHANE HYDROCARBONS/VOLATILE ORGANIC COMPOUNDS CAMMPCAN MARCUS ABIOTIC OCEAN EMISSIONS MERRA-2 CHEMICAL TRANSPORT MODEL GEOS-CHEM Computer > Computer MODELS GEOS-Chem > Global 3-D chemical transport model (CTM) for atmospheric composition driven by meteorological input from the Goddard > Earth Observing System (GEOS) of the NASA Global Modeling and Assimilation Office AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN CONTINENT > ANTARCTICA GEOGRAPHIC REGION > POLAR |
spellingShingle |
oceans climatologyMeteorologyAtmosphere EARTH SCIENCE > ATMOSPHERE > AIR QUALITY > VOLATILE ORGANIC COMPOUNDS ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > NON-METHANE HYDROCARBONS/VOLATILE ORGANIC COMPOUNDS CAMMPCAN MARCUS ABIOTIC OCEAN EMISSIONS MERRA-2 CHEMICAL TRANSPORT MODEL GEOS-CHEM Computer > Computer MODELS GEOS-Chem > Global 3-D chemical transport model (CTM) for atmospheric composition driven by meteorological input from the Goddard > Earth Observing System (GEOS) of the NASA Global Modeling and Assimilation Office AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN CONTINENT > ANTARCTICA GEOGRAPHIC REGION > POLAR GEOS-Chem model output for 2017-2018 CAMMPCAN Aurora Australis voyages |
topic_facet |
oceans climatologyMeteorologyAtmosphere EARTH SCIENCE > ATMOSPHERE > AIR QUALITY > VOLATILE ORGANIC COMPOUNDS ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > NON-METHANE HYDROCARBONS/VOLATILE ORGANIC COMPOUNDS CAMMPCAN MARCUS ABIOTIC OCEAN EMISSIONS MERRA-2 CHEMICAL TRANSPORT MODEL GEOS-CHEM Computer > Computer MODELS GEOS-Chem > Global 3-D chemical transport model (CTM) for atmospheric composition driven by meteorological input from the Goddard > Earth Observing System (GEOS) of the NASA Global Modeling and Assimilation Office AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN CONTINENT > ANTARCTICA GEOGRAPHIC REGION > POLAR |
description |
Progress Code: completed Statement: No problems were encountered with data collection. The dataset provides model output from the GEOS-Chem chemical transport model to support the CAMMPCAN and MARCUS 2017-2018 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 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 ... |
author2 |
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) Fisher, J., Sebastianelli, P., Schofield, R. (originator) SCHOFIELD, ROBYN (collaborator) SCHOFIELD, ROBYN (hasPrincipalInvestigator) SEBASTIANELLI, PAOLO (collaborator) SEBASTIANELLI, PAOLO (hasPrincipalInvestigator) |
format |
Dataset |
title |
GEOS-Chem model output for 2017-2018 CAMMPCAN Aurora Australis voyages |
title_short |
GEOS-Chem model output for 2017-2018 CAMMPCAN Aurora Australis voyages |
title_full |
GEOS-Chem model output for 2017-2018 CAMMPCAN Aurora Australis voyages |
title_fullStr |
GEOS-Chem model output for 2017-2018 CAMMPCAN Aurora Australis voyages |
title_full_unstemmed |
GEOS-Chem model output for 2017-2018 CAMMPCAN Aurora Australis voyages |
title_sort |
geos-chem model output for 2017-2018 cammpcan aurora australis voyages |
publisher |
Australian Ocean Data Network |
url |
https://researchdata.edu.au/geos-chem-model-australis-voyages/2817726 |
op_coverage |
Spatial: westlimit=62.867; southlimit=-68.576; eastlimit=158.856; northlimit=-42.882 Temporal: From 2017-10-29 to 2018-03-26 |
genre |
Antarc* Antarctica aurora australis Southern Ocean |
genre_facet |
Antarc* Antarctica aurora australis Southern Ocean |
op_source |
AU/AADC > Australian Antarctic Data Centre, Australia |
op_relation |
https://researchdata.edu.au/geos-chem-model-australis-voyages/2817726 AAS_4431_CAMMPCAN_GEOS_Chem_Model_AA_2017-18 |
_version_ |
1810493959003176960 |