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Open AccessArticle

Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System

Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Met Éireann, 65/67 Glasnevin Hill, Dublin 9, D09 Y921, Ireland
Agencia Estatal de Meteorologia, C/Leonardo Prieto Castro, 8, Ciudad Universitaria, 28071 Madrid, Spain
Danish Meteorological Institute, Lyngbyvej 100, DK-2100 Copenhagen, Denmark
Institute of Physics, University of Tartu, Tartu, W. Ostwaldi Str 1, 50411 Tartu, Estonia
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(2), 205;
Received: 15 January 2020 / Revised: 4 February 2020 / Accepted: 7 February 2020 / Published: 14 February 2020
(This article belongs to the Special Issue Aerosol Radiative Effects)
The direct radiative effect of aerosols is taken into account in many limited-area numerical weather prediction models using wavelength-dependent aerosol optical depths of a range of aerosol species. We studied the impact of aerosol distribution and optical properties on radiative transfer, based on climatological and more realistic near real-time aerosol data. Sensitivity tests were carried out using the single-column version of the ALADIN-HIRLAM numerical weather prediction system, set up to use the HLRADIA simple broadband radiation scheme. The tests were restricted to clear-sky cases to avoid the complication of cloud–radiation–aerosol interactions. The largest differences in radiative fluxes and heating rates were found to be due to different aerosol loads. When the loads are large, the radiative fluxes and heating rates are sensitive to the aerosol inherent optical properties and the vertical distribution of the aerosol species. In such cases, regional weather models should use external real-time aerosol data for radiation parametrizations. Impacts of aerosols on shortwave radiation dominate longwave impacts. Sensitivity experiments indicated the important effects of highly absorbing black carbon aerosols and strongly scattering desert dust. View Full-Text
Keywords: aerosols; CAMS; NWP; ALADIN-HIRLAM; MUSC; direct radiative effect aerosols; CAMS; NWP; ALADIN-HIRLAM; MUSC; direct radiative effect
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Rontu, L.; Gleeson, E.; Martin Perez, D.; Pagh Nielsen, K.; Toll, V. Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System. Atmosphere 2020, 11, 205.

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