CESM WACCM Runs Under Different Solar Conditions

d651051
 
Abstract:

Fundamental understanding of the climate responses to solar variability is obscured by the large and complex climate variability. This long-standing issue is addressed here by examining climate responses under an extreme quiet sun (EQS) scenario, obtained by making the sun void of all magnetic fields. It is used to drive a coupled climate model with whole atmosphere and ocean components. The simulations reveal significant responses, and elucidate aspects of the responses to changes of troposphere/surface forcing and stratospheric forcing that are similar and those that are different. Planetary waves (PWs) play a key role in both regional-scale responses and the mean circulation changes. Intermediate scale stationary waves and regional climate respond to solar forcing changes in the troposphere and stratosphere in a similar way, due to similar subtropical wind changes in the upper troposphere. The patterns of these changes are similar to those found in a warming climate, but with opposite signs. Responses of the largest scale PW during NH and SH winters differ, leading to hemispheric differences in the interplay between dynamical and radiative processes. The analysis exposes remarkable general similarities between climate responses in EQS simulations and those under nominal solar minimum conditions, even though the latter may not always appear to be statistically significant.

We have made five sets of CESM WACCM climate simulations to study climate responses to extremely quiet solar conditions. The five sets are under nominal solar maximum conditions, nominal solar minimal conditions, extreme quiet solar conditions, and two mixed forcing conditions (extreme low UV, extreme low visible and IR). Each set is 200 years long.

Temporal Range:
2000-01 to 2199-12
Variables:
Rain
Data Types:
Grid
Data Contributors:
UCAR/NCAR/CGD
Climate and Global Dynamics Division, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Total Volume:
10.19 TB (Entire dataset) Volume details by dataset product
Data Formats:
Metadata Record:
Data License:
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