An Iterative Method for Calculation of Wind Profiles at the Mesoscale and Microscale

• Published in: Boundary-layer meteorology Vol. 183; no. 3; pp. 423 - 445
• Main Authors: Adamiec-Wójcik, Iwona, Brzozowska, Lucyna, Drąg, Łukasz, Wojciech, Stanisław
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.06.2022; Springer; Springer Nature B.V
• Subjects: Algorithms; Analysis; Approximation; Atmospheric Protection/Air Quality Control/Air Pollution; Atmospheric Sciences; Boundary conditions; Complexity; Data assimilation; Diagnostic systems; Domains; Earth and Environmental Science; Earth Sciences; Fluid dynamics; Grid refinement (mathematics); Iterative methods; Kinematics; landscapes; Mathematical models; Meteorology; Methods; Modelling; Numerical analysis; Numerical simulations; Pollutants; Pollution dispersion; Procedures; prognosis; Research Article; Terrain; Thermodynamics; Time dependence; Weather stations; wind; Wind fields; Wind profiles; Pollutant dispersion; Wind field; Conformal variables; Variational diagnostic model
• ISSN: 0006-8314; 1573-1472; 1573-1472
• DOI: 10.1007/s10546-022-00690-0

This paper presents the variational diagnostic model and iterative procedure, which enables the wind field in subdomains to be adjusted. Diagnostic models are not time dependent. Consideration of more complex features of the thermodynamic structure requires models with high resolution, which require large calculation times. The model presented applies the variational approach and enables topographical complexity of the terrain to be considered. The problem of adjusting the wind field is solved in two steps. The first step adjusts the initial wind field by means of experimental measurements or a prognosis in the larger domain, which includes smaller domains. Then the results obtained are used as the initial wind field when the grid refinement in the smaller domain is performed. This allows more precise mapping of the terrain and its architecture. Nevertheless the algorithm proposed ensures a considerable reduction in calculation time. This approach also allows us to eliminate the problem of the lack of initial data when the number of meteorological stations in the smaller domain is insufficient. The algorithm is described and validated, and numerical simulations for pollutant dispersion for a chosen town are described, followed by discussion of the iterative procedure.