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- W1947510190 abstract "Abstract Many applications of risk assessment and Environmental Impact Assessments (EIA) require information about the local mesoscale climate at a very fine spatial scale. Current regional climate models (RCMs) with grid resolutions that normally range between 10 and 50 km cannot resolve the local physiographic features that influence the small‐scale features of local climate. This article presents a local climate model (LCM) system with an ultrahigh resolution and demonstrates its application to study the local climatology in a coastal zone where details of orography and coastline are important influences on the climate. The LCM has been developed from the Met Office Unified Model (MetUM) based on the concept of very high‐resolution numerical weather prediction. The ultrahigh‐resolution regional climate modelling is achieved through operating multiple nesting from a spatial resolution of 12 km down to ∼500 m. In this pilot study of the LCM, RCMs were run at 12, 4, 1.5 and 0.5 km grid resolutions to simulate the mesoscale climate of Weymouth Bay and Portland Harbour along the south coast of the United Kingdom. The period simulated was July‐August of the years 1993 to 2002, with model results validated against meteorological station time series. The results demonstrated the added value of the 500 m resolution model compared with the 1.5 km resolution model in modelling very fine local mesoscale climate patterns over the inner domain, including diurnal variations of temperature and winds, such as southwesterly flows, and the effect of wind channelling between the Isle of Portland and the mainland. Lower mean wind speeds are also found along the south‐facing coast to the east and in the shelter of Portland in the 500 m resolution model, particularly showing a sheltering zone between Portland and Weymouth Bay." @default.
- W1947510190 created "2016-06-24" @default.
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- W1947510190 date "2013-01-17" @default.
- W1947510190 modified "2023-10-09" @default.
- W1947510190 title "Using an ultrahigh-resolution regional climate model to predict local climatology" @default.
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- W1947510190 doi "https://doi.org/10.1002/qj.2081" @default.
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