Monsoon Planet: simulation data to examine monsoon dynamics with idealized topography

DOI

The atmosphere model of the Geophysical Fluid Dynamics Laboratory (GFDL-AM2) is coupled to a slab ocean in order to analyse the monsoon's sensitivity to changes in various forcing parameters on a planet with idealized topography. This monsoon planet design of a water planet with a zonal circumglobal land stripe allows to extract the relevant monsoon behaviour and reduces the influence of topography. Besides the width and location of the land stripe, the atmospheric CO2 concentration, incoming solar radiation, sulfate aerosol concentration and surface albedo are variied. Horizontal grid resolution is 2° latitude x 2.5° longitude. For the vertical grid, a hybrid coordinate grid with 24 vertical levels is implemented. The lowest model level starts about 30 m above the surface and the top level is at about 3 hPa. The vertical resolution is decreasing towards higher altitudes. Advective and physics time steps are 10 minutes and 0.5 hours, for atmopsheric radiation 3 hours time steps are used. Instead of an ocean general circulation model, a mixed-layer slab ocean is used.

Identifier
DOI https://doi.org/10.5880/pik.2022.002
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Related Identifier http://www.gfdl.noaa.gov/fms-slab-ocean-model-technical-documentation
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Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7839
Provenance
Creator Katzenberger, Anja ORCID logo; Levermann, Anders ORCID logo; Petri, Stefan ORCID logo; Feulner, Georg ORCID logo
Publisher GFZ Data Services
Contributor Katzenberger, Anja; Levermann, Anders; Petri, Stefan; Feulner, Georg
Publication Year 2022
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Levermann, Anders (Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany; Institute of Physics and Astronomy, Potsdam University, Potsdam, Germany; LDEO, Columbia University, New York, NY, USA)
Representation
Resource Type Dataset
Discipline Earth System Research
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N)