Abstract
The Clouds and the Earth’s Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Edition 4.1 data product provides global surface irradiances. Uncertainties in the global and regional monthly and annual mean all-sky net shortwave, longwave, and shortwave plus longwave (total) irradiances are estimated using ground-based observations. Error covariance is derived from surface irradiance sensitivity to surface, atmospheric, cloud and aerosol property perturbations. Uncertainties in global annual mean net shortwave, longwave, and total irradiances at the surface are, respectively, 5.7 Wm−2, 6.7 Wm−2, and 9.7 Wm−2. In addition, the uncertainty in surface downward irradiance monthly anomalies and their trends are estimated based on the difference derived from EBAF surface irradiances and observations. The uncertainty in the decadal trend suggests that when differences of decadal global mean downward shortwave and longwave irradiances are, respectively, greater than 0.45 Wm−2 and 0.52 Wm−2, the difference is larger than 1σ uncertainties. However, surface irradiance observation sites are located predominately over tropical oceans and the northern hemisphere mid-latitude. As a consequence, the effect of a discontinuity introduced by using multiple geostationary satellites in deriving cloud properties is likely to be excluded from these trend and decadal change uncertainty estimates. Nevertheless, the monthly anomaly timeseries of radiative cooling in the atmosphere (multiplied by −1) agrees reasonably well with the anomaly time series of diabatic heating derived from global mean precipitation and sensible heat flux with a correlation coefficient of 0.46.
Highlights
Earth radiation budget observations by Clouds and the Earth’s Radiant Energy System (CERES) instruments started in March 2000
Because top-of atmosphere irradiances are derived from radiance observations directly using scene-dependent angular distribution models [3], uncertainty in top-of-atmosphere TOA monthly mean irradiances is primarily driven by the calibration of CERES instruments [4]
Cloud and aerosol properties are derived from Moderate Resolution Imaging Spectroradiometer (MODIS) and geostationary satellites in producing surface irradiances included in CERES data products (e.g., SYN1deg, [5]), computed irradiances do not use CERES observations as inputs
Summary
Earth radiation budget observations by Clouds and the Earth’s Radiant Energy System (CERES) instruments started in March 2000. Cloud and aerosol properties are derived from Moderate Resolution Imaging Spectroradiometer (MODIS) and geostationary satellites in producing surface irradiances included in CERES data products (e.g., SYN1deg, [5]), computed irradiances do not use CERES observations as inputs. CERES-derived TOA irradiances are used in the final process to adjust atmosphere, cloud and aerosol properties that are used for the initial computations of surface irradiances [6]. Even though the uncertainty can be quantified, we demonstrate the difficulty in quantifying the effect of combining multiple instruments on the surface irradiance anomaly time series, show the limitations of surface observations used as validation of satellite data products, and describe the various issues encountered when building a long-term surface radiation budget climate data record with multiple satellite observations.
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