Published February 9, 2023
| Version v1
Dataset
Open
Forcing, cloud feedbacks, cloud masking, and internal variability in the cloud radiative effect satellite record (Data)
- 1. Princeton University
- 2. NOAA GFDL
- 3. NOAA GFDL/UCAR
Description
README file for ERA5-PRP datasets used in:
Raghuraman et al., 2023, Journal of Climate,
"Forcing, cloud feedbacks, cloud masking, and internal variability in the cloud radiative effect satellite record"
Point of Contact: Shiv Priyam Raghuraman, shivr@alumni.princeton.edu
30 ERA5-PRP files:
2 files: '2000_2020-allsky_small.nc' and '2000_2020-clearsky_small.nc'
- all input quantities varying
2 files: 'clim-allsky-clim-var-all.nc' and 'clim-clearsky-clim-var-all.nc'
- all input quantities at climatology
13 files: 'clim-var'
- Input quantity X at climatology, rest varying
- X = clouds, q, fal, skt, t, ghg, or o3. Fluxes computed in clear-sky and all-sky, apart from clouds which will only have all-sky.
13 files: 'clim-except-var'
- Input quantity X varying, rest at climatology
- X = clouds, q, fal, skt, t, ghg, or o3. Fluxes computed in clear-sky and all-sky, apart from clouds which will only have all-sky.
Other datasets:
GFDL AM4 AMIP and Control
https://doi.org/10.5281/zenodo.4784726
CMIP6 Control, Historical, RFMIP
Downloaded from ESGF
Files
Files
(28.5 GB)
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