Quantifying model capability (uncertainty) by a detailed evaluation of the assumptions of parameterization and error propagation, this title features an expansion of the concepts of parameterization and parameterization methodology. It is suitable for researchers and practitioners in the field of meteorological modeling at the mesoscale.
The 3rd edition of Mesoscale Meteorological Modeling is a fully revised resource for researchers and practitioners in the growing field of meteorological modeling at the mesoscale. Pielke has enhanced the new edition by quantifying model capability (uncertainty) by a detailed evaluation of the assumptions of parameterization and error propagation. Mesoscale models are applied in a wide variety of studies, including weather prediction, regional and local climate assessments, and air pollution investigations.
