In this section
@article{Russell,
author = {Russell, J and Brindley, H and Bantges, R and Bodas-Salcedo, A},
journal = {Earth System Science Data},
title = {The GERB Obs4MIPs: a dataset for evaluating diurnal and monthly variation in top of atmosphere radiative fluxes in climate models},
}
TY - JOUR
AB - A newly available 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 outgoing longwave (OLR) and reflected shortwave (RSW) fluxes on a regular 1 degree latitude/longitude grid approximately covering 60N-60S and 60E-60W. 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 V1.1 filled 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 relative to GC3.1 although notable differences remain. The V1.1 filled 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/10.5285/57821b58804945de
AU - Russell,J
AU - Brindley,H
AU - Bantges,R
AU - Bodas-Salcedo,A
SN - 1866-3508
TI - The GERB Obs4MIPs: a dataset for evaluating diurnal and monthly variation in top of atmosphere radiative fluxes in climate models
T2 - Earth System Science Data
ER -