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Air quality modelling requires accurate and detailed meteorological modelling, depending on the scale of the problem. As a consequence, comparison of meteorological modelling results against both surface and aloft meteorological observations is highly recommended. In this work, a CALMET diagnostic model (at three different horizontal resolutions) is nested to WRF model simulations (3 km horizontal resolution) over a complex terrain and coastal domain at NW of Spain. Both CALMET and WRF results are compared to upper-air measurements, showing that PBL depth CALMET results are better than WRF results. About surface comparison, four different CALMET input datasets are tested, showing that the lowest RMSE is obtained by CALMET using WRF results and surface measurements as input dataset. [ABSTRACT FROM AUTHOR]

The marching cubes (MC) algorithm is widely used as a means to convert volume data into surface data. However, it will be shown that the conversion does not preserve volume. With our previous work [13] we described an algorithm to preserve the volume in such a conversion. But it is applicable only to objects of uniform material such as plastic toys. The new algorithm presented in this paper will be applicable to general data such as medical CT (Computer Tomography). In addition, an algorithm for 2D cases is described. It will be shown that the resulting surface with this algorithm is much more similar to the original surface than that with MC. © 2000 Scripta Technica, Syst Comp Jpn, 31(12): 43–51, 2000 [ABSTRACT FROM AUTHOR]