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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