Work

Basic physics predicts stronger high cloud radiative heating with warming

Year: 2024

Type: article

Abstract: Gasparini-etal-2024-GRL-CRH-revised Scripts and data used in the Gasparini et al., 2024 revised manuscript in review for GRL I. Scripts 1. The template script used for processing the RCEMIP data is in:/scripts/postprocessing/regridding_averaging_merging_saving_RCEMIP.ipynb 2. Plotting scripts used in the main part of the paper and in the supplement are in:/scripts/scripts_plotting/ II. Data 1. Observations & Satellite retrievals (used in Figures 4, S6, S8, S9):Processed SST and CIRS-ML radiative heating, cloud fraction, and emissivity data is available in:/data/observations/ 2. RCEMIP postprocessed data (used in Figures 4 and 5, Figures S5 and S7):/data/RCEMIP_processed/ 3. Radiative transfer model data (used in Figure 1, Figure S1, Supplemental Data Table 1):/data/radiative-transfer-model/ 4. Radiative transfer model data settings and namelist parameters/data/radiative-transfer-model/model_settings/ 5. SAM model data (used in Figures 2, 3, S2,S3)/data/SAM/ 6. SAM model data settings and namelist parameters/data/SAM/model_settings/ III. FiguresThe figures used in the manuscript are in folders/figures/main/ and/figures/supplement/

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13951360

Authors: Gasparini, Blaž, Mandorli, Giulio, Stubenrauch, Claudia, Voigt, Aiko

Institution: University of Vienna

Language: English

Topic: Atmospheric aerosols and clouds

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

Funder: European Commission