CESM2.2 CAM-chem as Boundary Conditions
ds313.8
We have saved CAM-chem simulation output that is intended to be used as boundary conditions for regional modeling. We used CAM-chem at 0.9 degree by 1.25 degree horizontal resolution simulation with 32 vertical levels. Temperatures, and winds are adjusted to MERRA2 reanalysis fields with a 12 hour relaxation (10%). Data is saved as instantaneous fields every 6 hours into daily files. Chemistry is the MOZART-T1 mechanism. Descriptions of all simulated species are available online. We use the MAM4-VBS scheme to model aerosols. Anthropogenic emissions are from CAMS V5.1. Biogenic emissions are from online MEGAN2.1. The fire emissions are from QFED CO2 fields combined with emission factors collated for the FINN inventory to create all the emissions necessary for the CAM-chem simulation. Online ocean DMS emissions are used.
dataset
https://rda.ucar.edu/datasets/ds313.8/
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https://rda.ucar.edu/datasets/ds313.8/#!access
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climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
CAM-chem > Community Atmosphere Model with Chemistry
revision
2022-12-01
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > UPPER LEVEL WINDS
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > UPPER AIR TEMPERATURE
revision
2022-11-18
2001-01-01T00:00:00Z
2021-01-01T00:00:00Z
publication
2022-10-07
irregular
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UCAR/NCAR - Research Data Archive
National Center for Atmospheric Research
CISL/DSS
P.O. Box 3000
Boulder
80307
U.S.A.
(303)-497-1833
303-497-1291
pointOfContact
NCAR Research Data Archive
National Center for Atmospheric Research
CISL/DSS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
name: NCAR Research Data Archive
description: The Research Data Archive (RDA), managed by the Data Support Section (DSS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.
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pointOfContact
2022-12-04T12:05:02-07:00