2010/02/08 by Igor Esau, Esau, Igor
Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Meteorological Phenomena and Simulations #Urban Heat Island Mitigation #Wind and Air Flow Studies
paper · pdf · doi:10.48550/arxiv.1002.1632
openalex publication_date 2010/02/08 · openalex created_date 2022/08/31 · openalex updated_date 2026/07/28
Micrometeorology, city comfort, land use management and air quality\nmonitoring increasingly become important environmental issues. To serve the\nneeds, meteorology needs to achieve a serious advance in representation and\nforecast on micro-scales (meters to 100 km) called meteorological terra\nincognita. There is a suitable numerical tool, namely, the large-eddy\nsimulation modelling (LES) to support the development. However, at present, the\nLES is of limited utility for applications. The study addresses two problems.\nFirst, the data assimilation problem on micro-scales is investigated as a\npossibility to recover the turbulent fields consistent with the mean\nmeteorological profiles. Second, the methods to incorporate of the unresolved\nsurface structures are investigated in a priopi numerical experiments. The\nnumerical experiments demonstrated that the simplest nudging or Newtonian\nrelaxation technique for the data assimilation is applicable on the turbulence\nscales. It is also shown that the filtering property of the three layers\nartificial neural network (ANN) can be used for formulation of the surface\nstress from the unresolved surface features.\n