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Advances in Science and Research Contributions in Applied Meteorology and Climatology
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Volume 15 | Copyright
Adv. Sci. Res., 15, 81-90, 2018
https://doi.org/10.5194/asr-15-81-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  22 May 2018

22 May 2018

Comparison of radiation parametrizations within the HARMONIE–AROME NWP model

Laura Rontu and Anders V. Lindfors Laura Rontu and Anders V. Lindfors
  • Finnish Meteorological Institute, Helsinki, Finland

Abstract. Downwelling shortwave radiation at the surface (SWDS, global solar radiation flux), given by three different parametrization schemes, was compared to observations in the HARMONIE–AROME numerical weather prediction (NWP) model experiments over Finland in spring 2017. Simulated fluxes agreed well with each other and with the observations in the clear-sky cases. In the cloudy-sky conditions, all schemes tended to underestimate SWDS at the daily level, as compared to the measurements. Large local and temporal differences between the model results and observations were seen, related to the variations and uncertainty of the predicted cloud properties.

The results suggest a possibility to benefit from the use of different radiative transfer parametrizations in a NWP model to obtain perturbations for the fine-resolution ensemble prediction systems. In addition, we recommend usage of the global radiation observations for the standard validation of the NWP models.

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Global radiation forecasts by HARMONIE-AROME numerical weather prediction model were compared to observations over Finland in spring 2017 when convective clouds, rain and snow showers were frequent. In HARMONIE-AROME, three different schemes for parametrization of the atmospheric radiation transfer are available. Differences between the schemes and observations showed up especially as variations in the hourly scale. The results by the schemes were closer to each other than to the observations.
Global radiation forecasts by HARMONIE-AROME numerical weather prediction model were compared to...
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