Abstract

Abstract. The clear-sky radiative effect of aerosol–radiation interactions is of relevance for our understanding of the climate system. The influence of aerosol on the surface energy budget is of high interest for the renewable energy sector. In this study, the radiative effect is investigated in particular with respect to seasonal and regional variations for the region of Germany and the year 2015 at the surface and top of atmosphere using two complementary approaches. First, an ensemble of clear-sky models which explicitly consider aerosols is utilized to retrieve the aerosol optical depth and the surface direct radiative effect of aerosols by means of a clear-sky fitting technique. For this, short-wave broadband irradiance measurements in the absence of clouds are used as a basis. A clear-sky detection algorithm is used to identify cloud-free observations. Considered are measurements of the short-wave broadband global and diffuse horizontal irradiance with shaded and unshaded pyranometers at 25 stations across Germany within the observational network of the German Weather Service (DWD). The clear-sky models used are the Modified MAC model (MMAC), the Meteorological Radiation Model (MRM) v6.1, the Meteorological–Statistical solar radiation model (METSTAT), the European Solar Radiation Atlas (ESRA), Heliosat-1, the Center for Environment and Man solar radiation model (CEM), and the simplified Solis model. The definition of aerosol and atmospheric characteristics of the models are examined in detail for their suitability for this approach. Second, the radiative effect is estimated using explicit radiative transfer simulations with inputs on the meteorological state of the atmosphere, trace gases and aerosol from the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis. The aerosol optical properties (aerosol optical depth, Ångström exponent, single scattering albedo and asymmetry parameter) are first evaluated with AERONET direct sun and inversion products. The largest inconsistency is found for the aerosol absorption, which is overestimated by about 0.03 or about 30 % by the CAMS reanalysis. Compared to the DWD observational network, the simulated global, direct and diffuse irradiances show reasonable agreement within the measurement uncertainty. The radiative kernel method is used to estimate the resulting uncertainty and bias of the simulated direct radiative effect. The uncertainty is estimated to −1.5 ± 7.7 and 0.6 ± 3.5 W m−2 at the surface and top of atmosphere, respectively, while the annual-mean biases at the surface, top of atmosphere and total atmosphere are −10.6, −6.5 and 4.1 W m−2, respectively. The retrieval of the aerosol radiative effect with the clear-sky models shows a high level of agreement with the radiative transfer simulations, with an RMSE of 5.8 W m−2 and a correlation of 0.75. The annual mean of the REari at the surface for the 25 DWD stations shows a value of −12.8 ± 5 W m−2 as the average over the clear-sky models, compared to −11 W m−2 from the radiative transfer simulations. Since all models assume a fixed aerosol characterization, the annual cycle of the aerosol radiation effect cannot be reproduced. Out of this set of clear-sky models, the largest level of agreement is shown by the ESRA and MRM v6.1 models.

Highlights

  • Aerosols influence the earth’s climate through their interaction with atmospheric radiation

  • The results of the following analyses are presented: in Sect. 4.1 the uncertainty of the clear-sky irradiance and resulting from aerosol–radiation interactions (REari) simulated with T–CARS is estimated by an evaluation of the Copernicus Atmosphere Monitoring Service (CAMS) RA aerosol optical properties used as input and a sensitivity analysis using radiative kernels; in Sect. 4.2 the simulations of T–CARS and retrievals with the various clear-sky models (CSMs) are compared with each other and with observations from the DWD station network; Sect. 4.3 provides an overview of the aerosol optical properties and presents the best estimate of REari for Germany and the year 2015 using the T–CARS setup

  • The accuracy of aerosol optical properties (AOD, AE, single scattering albedo (SSA) and asymmetry parameter (ASY)) calculated from this dataset is an important aspect of the accuracy of these simulations and is evaluated in Sect. 4.1.1 by a comparison to reference data based on AERONET observations

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Summary

Introduction

Aerosols influence the earth’s climate through their interaction with atmospheric radiation. A fundamental measure of the strength of this interaction is the radiative effect resulting from aerosol–radiation interactions (REari), which is referred to as the direct radiative effect of aerosols (Boucher et al, 2014). This includes aerosols from natural and anthropogenic sources. Climatological studies are often focused on the REari on the total atmosphere to investigate the heating or cooling by aerosols. While the impact of REari on PV power depends mainly on changes in global irradiance, its effect on concentrating solar power is mainly caused by changes in direct irradiance. Several regional studies clearly show the impact of REari on solar power production (e.g. Gueymard and Jimenez, 2018; Neher et al, 2019), but none of them considers wavelength-dependent aerosol properties

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