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Quality of the Governing Temperature Variables in WRF in Relation to Simulation of Primary Biological Aerosols

Skjøth, C. and Werner, Malgorzata and Kryza, M. and Adams-Groom, Beverley and Wakeham, Alison and Lewis, Mary and Kennedy, Roy (2015) Quality of the Governing Temperature Variables in WRF in Relation to Simulation of Primary Biological Aerosols. Advances in Meteorology (412658). pp. 1-15. ISSN 1687-9309

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Abstract

We have evaluated three prognostic variables in Weather Research and Forecasting (WRF) model, mean daily temperature, daily maximum temperature, and daily minimum temperature using 9 months of model simulations at 36 and 12 km resolution, and compared the results with 1182 observational sites in north and central Europe. The quality of the results is then determined in the context of the governing variables used in crop science, forestry, and aerobiological models. We use the results to simulate the peak of the birch pollen season (aerobiology), growth of barley (crop science), and development of the invasive plant pathogen Hymenoscyphus pseudoalbidus (the cause of ash-dieback). The results show that the crop and aerobiological models are particularly sensitive to grid resolution and much higher quality is obtained from the 12 km simulations compared to 36 km. The results also show that the summer months have a bias, in particular for maximum and minimum temperatures, and that the low/high bias is clustered in two areas: continental and coastal influenced areas. It is suggested that the use of results from meteorological models as an input into biological models needs particular attention in the quality of the modelled surface data as well as the applied land surface modules.

Item Type: Article
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Originally deposited as National Pollen and Aerobiology Research Unit (NPARU)

Uncontrolled Keywords: Weather Research and Forecasting, WRF, meteorological models, primary biological aerosols, temperature variables
Subjects: Q Science > Q Science (General)
Divisions: Academic Departments > Institute of Science and the Environment
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Copyright Info: Creative Commons Attribution License
Depositing User: Carsten Skjoth
Date Deposited: 18 Sep 2015 13:19
Last Modified: 18 Feb 2016 15:59
URI: https://eprints.worc.ac.uk/id/eprint/3983

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