Sub-km scale numerical weather prediction model simulations of radiation fog

Smith, Daniel, Renfrew, Ian, Dorling, Stephen, Price, Jeremy D. and Boutle, Ian A. (2020) Sub-km scale numerical weather prediction model simulations of radiation fog. Quarterly Journal of the Royal Meteorological Society. ISSN 0035-9009

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Abstract

The numerical weather prediction (NWP) of fog remains a challenge with accurate forecasts relying on the representation of many interacting physical processes. The recent local and non‐local fog experiment (LANFEX) has generated a detailed observational dataset creating a unique opportunity to assess the NWP of fog events. We evaluate the performance of operational and research configurations of the Met Office Unified Model (MetUM) with three horizontal grid‐lengths, 1.5 km, 333 m and 100 m, in simulating four LANFEX case studies. In general, the sub‐km scale versions of the MetUM are in better agreement with the observations, however there are a number of systematic model deficiencies. The MetUM produces valleys that are too warm and hills that are too cold, leading to valleys that do not have enough fog and hills that have too much. A large sensitivity to soil temperature was identified from a set of parametrisation sensitivity experiments. In all the case studies, the model erroneously transfers heat too readily through the soil to the surface preventing fog formation. Sensitivity tests show that the specification of the soil thermal conductivity parametrisation can lead to up to a 5‐hour change in fog onset time. Overall the sub‐km models demonstrate promise but they have a high sensitivity to surface properties.

Item Type: Article
Uncontrolled Keywords: nwp,boundary-layer,radiation fog,soil thermal conductivity,atmospheric science ,/dk/atira/pure/subjectarea/asjc/1900/1902
Faculty \ School: Faculty of Science > School of Environmental Sciences
Faculty of Science
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Depositing User: LivePure Connector
Date Deposited: 12 Nov 2020 01:12
Last Modified: 18 Feb 2021 01:04
URI: https://ueaeprints.uea.ac.uk/id/eprint/77662
DOI: 10.1002/qj.3943

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