Datasets and Python Notebooks for: Marine Cloud Brightening and Precipitation Responses in the Tropical Pacific Ocean

This repository contains datasets and Jupyter notebooks used for the analyses presented in the manuscript: "Marine Cloud Brightening and Precipitation Responses in the Tropical Pacific Ocean" submitted to AGU Earth's Future in May 2026.Contents include:- Processed datasets used in the study- Python notebooks for (preprocessing) bias-correction workflows- Python notebooks for data analysis and figure generationSome preprocessing notebooks rely on external datasets associated with previously published work: Hirasawa, H., M. Henry, A. M. Mason, P. J. Rasch, S. J. Doherty, R. Wood, J. Haywood, & K. Von Salzen (2026a). Forcing susceptibility and climate sensitivity to midlatitude Marine Cloud Brightening. Journal of Climate, 39, 769-784. https://doi.org/10.1175/JCLI-D-25-0337.1 These external datasets, i.e., Earth system model outputs for CESM2, E3SMv2, and UKESM1, are not redistributed in this repository and are available from the original authors upon reasonable request. repository/├── data_NarenpitakEtAl2026_forRepository.tar.gz│ ├── era5│ ├── MCB_patch/cesm2/biascorrection│ ├── MCB_patch/e3smv2/biascorrection│ ├── MCB_patch/ukesm1/biascorrection│ └── World_Countries_Shapefiles├── analysis_notebooks/│ ├── NarenpitakEtAl2026 - Fig1_dTmap_region - Fig11_dT_dP_NH-SH_region.ipynb│ ├── NarenpitakEtAl2026 - Fig2-5_Zonal_Means.ipynb│ ├── NarenpitakEtAl2026 - Fig6-8_Meridional_Means.ipynb│ ├── NarenpitakEtAl2026 - Fig9_Composites_dT_dP - SI_FigS5-S18.ipynb│ └── NarenpitakEtAl2026 - Fig10_ScatterPlot_IndexVsP.ipynb├── preprocessing_notebooks/│ ├── biascorrection_MCBruns_T_1_compute_dT.ipynb│ └── biascorrection_MCBruns_T_2_compute_new_T.ipynb│ ├── biascorrection_MCBruns_P_1_compute_dP.ipynb│ └── biascorrection_MCBruns_P_2_compute_new_P.ipynb├── README.md└── NarenpitakEtAl2026_supporting_information.pdf To run the preprocessing_notebooks, Earth system model outputs for CESM2, E3SMv2, and UKESM1 are required. The original outputs are not redistributed in this repository and are available from the original authors upon reasonable request. These scripts ├── biascorrection_MCBruns_T_1_compute_dT.ipynb ├── biascorrection_MCBruns_P_1_compute_dP.ipynbregrid the original ESM outputs to 0.5 x 0.5 degrees resolution and compute factors for biascorrecting near-surface temperature (T), near-surface specific humidity (Q), and precipitation (P) for CESM2, E3SMv2, and UKESM1, between 40 degrees S and 40 degrees N. The files can be found in data_NarenpitakEtAl2026_forRepository/├── MCB_patch/├──├── cesm2/├──├──├── biascorrection/dP_era5_cesm_CTL_2015-2024_P_0.5deg.nc├──├──├── biascorrection/dQ_era5_cesm_CTL_2015-2024_Q_0.5deg.nc├──├──├── biascorrection/dT_era5_cesm_CTL_2015-2024_T_0.5deg.nc├──├── e3smv2/└──└── ukesm1/ These scripts └── biascorrection_MCBruns_T_2_compute_new_T.ipynb └── biascorrection_MCBruns_P_2_compute_new_P.ipynbuse the original ESM outputs and the biascorrecting factors, and produce the biascorrected ESM outputs. The biascorrected ESM outputs (bc_*nc) and can be found in the following directory: data_NarenpitakEtAl2026_forRepository/├── MCB_patch/cesm2/biascorrection/├── MCB_patch/e3smv2/biascorrection/├── MCB_patch/UKESM1/biascorrection/ and are used in the analysis in the analysis_notebooks. This research was funded by the Degrees Initiative through the Degrees Modelling Fund (DMF) and the DMF Continuation Grant (Grant Number: RGA-DMF-THA-01-25-C1).