SO2 injection matrix simulations
d651026
The SO2 injection matrix simulations were performed to perform a system identification of the Whole Atmosphere Community Climate Model (WACCM), to identify the aerosol optical depth and climate response of stratospheric SO2 injections for different locations and amount. The WACCM model is a fully interactive Earth System Model, that includes interactive chemistry, radiation, dynamics and a whole atmosphere modal aerosol microphysical scheme, and is coupled to land, sea-ice and ocean (Mills et al., 2017). One simulations has been performed with prescribed chemistry (as indicated). Most of the matrix simulations were performed for 10 years (between 2040 and 2049), and some have been extended up to 20 year (as indicated). These simulations are described in Tilmes et al. (2017) and Richter et al., (2017).
dataset
https://rda.ucar.edu/datasets/d651026/
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applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://rda.ucar.edu/datasets/d651026/dataaccess/
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applicationProfile: browser
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climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
CESM > NCAR Community Earth System Model
revision
2024-11-27
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > LIQUID PRECIPITATION > RAIN
revision
2024-12-04
2040-01-01
2049-12-31
publication
2024-12-16
notPlanned
Creative Commons Attribution 4.0 International License
None
UCAR/NCAR - Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
7605182193
303-497-1291
pointOfContact
NCAR Research Data Archive
National Center for Atmospheric Research
CISL/DECS
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 Engineering and Curation Section (DECS) 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.
function: downlaod
pointOfContact
2024-12-16T22:05:01Z