Preprints
https://doi.org/10.5194/essd-2024-4
https://doi.org/10.5194/essd-2024-4
23 Feb 2024
 | 23 Feb 2024
Status: a revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

The GERB Obs4MIPs Radiative Flux Dataset: A new tool for climate model evaluation

Jacqueline Elizabeth Russell, Richard John Bantges, Helen Elizabeth Brindley, and Alejandro Bodas-Salcedo

Abstract. A new radiative flux dataset, specifically designed to enable the evaluation of the diurnal cycle in top of the atmosphere fluxes, as captured by climate and Earth-system models is presented. Observations over the period 2007–2012 made by the Geostationary Earth Radiation Budget (GERB) instrument are used to derive monthly hourly mean reflected shortwave (RSW) and outgoing longwave fluxes (OLR) on a regular 1°x1° latitude-longitude grid covering 60° N–60° S and 60° E–60° W. The impact of missing data is evaluated in detail, and a data-filling solution is implemented using estimates of the broadband fluxes from the Spinning Enhanced Visible and Infrared Imager, flying on the same Meteosat platform, scaled to the GERB observations. This relatively simple approach is shown to deliver an approximate factor of ten improvement in both the bias caused by missing data and the associated variability in the error. To demonstrate the utility of this GERB ‘obs4MIPs’ dataset, comparisons are made to radiative fluxes from two climate configurations of the Hadley Centre Global Environmental model: HadGEM3-GC3.1 and HadGEM3-GC5.0. Focusing on marine stratocumulus and deep convective cloud regimes, diurnally resolved comparisons between the model and observations highlight discrepancies between the model configurations in terms of their ability to capture the diurnal amplitude and phase of the top of atmosphere fluxes: details that cannot be diagnosed by comparisons at lower temporal resolution. For these cloud regimes the GC5.0 configuration shows improved fidelity with the observations although notable differences remain. The GERB Obs4MIPs monthly hourly TOA fluxes are available from the Centre for Environmental Data Analysis with the OLR fluxes accessible at https://doi.org/10.5285/90148d9b1f1c40f1ac40152957e25467 (Bantges et al. 2023a) and the RSW fluxes at  https://doi.org/10.5285/57821b58804945deaf4cdde278563ec2 (Bantges et al. 2023b).

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Jacqueline Elizabeth Russell, Richard John Bantges, Helen Elizabeth Brindley, and Alejandro Bodas-Salcedo

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2024-4', Richard Allan, 04 Mar 2024
  • RC2: 'Comment on essd-2024-4', Ruben Urraca, 07 May 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2024-4', Richard Allan, 04 Mar 2024
  • RC2: 'Comment on essd-2024-4', Ruben Urraca, 07 May 2024
Jacqueline Elizabeth Russell, Richard John Bantges, Helen Elizabeth Brindley, and Alejandro Bodas-Salcedo

Data sets

Monthly-mean diurnal cycle of top of atmosphere outgoing longwave radiation from the GERB instrument (GERB-HR-ED01-1-1 rlut 1hrCM), v20231221 R. J. Bantges, J. E. Russell, and H. E. Brindley https://dx.doi.org/10.5285/90148d9b1f1c40f1ac40152957e25467

Monthly-mean diurnal cycle of top of atmosphere outgoing shortwave radiation from the GERB instrument (GERB-HR-ED01-1-1 rsut 1hrCM), v20231221 R. J. Bantges, J. E. Russell, and H. E. Brindley https://dx.doi.org/10.5285/57821b58804945deaf4cdde278563ec2

Jacqueline Elizabeth Russell, Richard John Bantges, Helen Elizabeth Brindley, and Alejandro Bodas-Salcedo

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Short summary
We present a dataset of top of atmosphere diurnally resolved reflected solar and emitted thermal energy for Earth-system model evaluation. The multi-year, monthly hourly dataset, derived from observations made by the Geostationary Earth Radiation Budget instrument, covers the range 60° N–60° S, 60° E–60° W at one degree resolution. Comparison with two versions of the Hadley Centre Global Environmental model highlight how the data can be used to assess updates to key model parameterisations.
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