Seasonal-to-MultiYear Large Ensemble-Marine Cloud Brightening (SMYLE MCB) is an ensemble of MCB perturbed initialized prediction experiments using CESM2. SMYLE MCB consists of fully coupled simulations preceding three historical ENSO events: (1) 2020-2021 La Nina to approximate the forcing and responses from the 2019-2020 Australian wildfires presented in Fasullo et al. (2023) (20 members) and the (2) 2015-2016 (10 members) and (3) 1997-1998 El Nino events (10 members) to test MCB's efficacy in weakening some of the most extreme El Nino events of the 21st century. Simulations are initialized on the first of November for (1) and May for (2-3) and run forward for two-years on a 1-degree horizontal resolution. MCB is represented by nudging the cloud droplet number concentration within the target region for each experiment. These simulations are set up following the CESM2 SMYLE experiments (Yeager et al., 2022), which are the reference simulations to SMYLE MCB to compute the climate responses of MCB.
Temporal Range:
1997 to 2021
Variables:
Latent Heat Flux
Rain
Sea Level Pressure
Specific Humidity
Surface Temperature
U/V Wind Components
Upper Air Temperature
Vertical Wind Velocity/Speed
Data Types:
Grid
Data Contributors:
UCAR/NCAR/CGD
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research
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