GEOS-5 Nature Run data
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资源简介:
This specific GEOS-5 model configuration used to perform a two-year global,
non-hydrostatic mesoscale simulation for the period 2005-2007 at 7-km (3.5-km in the future) horizontal resolution.
Because this simulation is intended to serve as a reference Nature Run for Observing System
Simulation Experiments (OSSEs, e.g., Errico et al., 2012) it will be referred to as the 7-km GEOS-5
Nature Run or 7-km G5NR. This simulation has been performed with the Ganymed version of GEOS-
5, more specifically with CVS Tag wmp-Ganymed-4_0_BETA8.
In addition to standard meteorological parameters (wind, temperature, moisture, surface pressure),
this simulation includes 15 aerosol tracers (dust, sea-salt, sulfate, black and organic carbon), O3, CO
and CO2. This model simulation is driven by prescribed sea-surface temperature and sea-ice, as well
as surface emissions and uptake of aerosols and trace gases, including daily volcanic and biomass
burning emissions, biogenic sources and sinks of CO2, and high-resolution inventories of
anthropogenic sources.The simulation is performed at a horizontal resolution of 7 km using a cubed-sphere horizontal
grid with 72 vertical levels, extending up to to 0.01 hPa (~ 80 km). For user convenience, all data
products are generated on two logically rectangular longitude-latitude grids: a full-resolution
0.0625o grid that approximately matches the native cubed-sphere resolution, and another 0.5o
reduced-resolution grid. The majority of the full-resolution data products are instantaneous with
some fields being time-averaged. The reduced-resolution datasets are mostly time-averaged, with
some fields being instantaneous. Hourly data intervals are used for the reduced-resolution datasets,
while 30-minute intervals are used for the full-resolution products. All full-resolution output is on
the model’s native 72-layer hybrid sigma-pressure vertical grid, while the reduced-resolution
output is given on native vertical levels and on 48 pressure surfaces extending up to 0.02 hPa.
Section 4 presents additional details on horizontal and vertical grids.
提供机构:
NCCS



