Zhu et al. (2025) Parametric Sensitivity Analysis of ENSO ‐Related Shortwave Feedback Simulations by PPE Experiments in CAM6

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: International Journal of Climatology
• Year: 2025
• Date: 2025-12-05
• Authors: Yesheng Zhu, Lin Chen, Haoqian Li, Yuxin Jiang
• DOI: 10.1002/joc.70210

Research Groups

Not specified in the abstract.

Short Summary

This study investigates how deep convection and cloud physics scheme parameters in CAM6 impact the simulation of shortwave feedback during the El Niño‐Southern Oscillation (ENSO) cycle, identifying key parameters that modulate this feedback through ice and liquid water paths.

Objective

• To ascertain the impacts of key parameters within the deep convection scheme and cloud physics scheme of Community Atmosphere Model version 6 (CAM6) on simulating the shortwave feedback (α SW ) during the El Niño‐Southern Oscillation (ENSO) cycle.

Study Configuration

• Spatial Scale: Global (implied by climate model, not explicitly stated in abstract).
• Temporal Scale: Interannual variability associated with the El Niño‐Southern Oscillation (ENSO) cycle (specific simulation duration not stated).

Methodology and Data

• Models used: Community Atmosphere Model version 6 (CAM6)
• Data sources: Model output from a 128-member Perturbed Parameter Ensemble (PPE) experiment; Empirical Orthogonal Function (EOF) analysis applied to model output.

Main Results

• Two dominant modes of α SW simulation biases were identified using EOF analysis.
• The first mode is primarily controlled by cloud ice-related parameters (dcs, eii, ai, and the nonlinear term ai*dcs), influencing α SW through modulating the ice water path (IWP) feedback.
• The second mode is predominantly influenced by convection-related parameters (dmpdz, dmpdz*dmpdz, and tau), acting through the liquid water path (LWP) feedback.
• Physical interpretation revealed how these identified key parameters and their interplay modulate cloud radiative processes, thereby shaping the simulated α SW in CAM6.

Contributions

• Identification of key parameters and their underlying mechanisms that influence shortwave feedback during ENSO in CAM6.
• Provides valuable insights for the development of the widely-used CESM model and other Atmospheric General Circulation Models (AGCMs).

Funding

Not specified in the abstract.

Citation

@article{Zhu2025Parametric,
  author = {Zhu, Yesheng and Chen, Lin and Li, Haoqian and Jiang, Yuxin},
  title = {Parametric Sensitivity Analysis of <scp>ENSO</scp> ‐Related Shortwave Feedback Simulations by <scp>PPE</scp> Experiments in <scp>CAM6</scp>},
  journal = {International Journal of Climatology},
  year = {2025},
  doi = {10.1002/joc.70210},
  url = {https://doi.org/10.1002/joc.70210}
}