Mesoscale meteorological modeling
kurssikirja Mesometeorology Meteorology e-böcker
Academic Press
2002
2nd ed.
EISBN 9780080491820
Introduction.
Basic set of equations.
Simplification of the basic equations.
Averaging the conservation relations.
Physical and analytical modeling.
Coordinate transformations.
Parameterization-averaged subgrid-scale fluxes.
Averaged radiation flux divergence.
Parameterization of moist thermodynamic processes.
Methods of solution.
Boundary and initial conditions.
Model evaluation.
Examples of mesoscale models.
Appendix A: The solution of eqs. (10-28) and (10-47).
Appendix B: Model summaries.
Appendix C: Summary of several cumulus cloud parameterization schemes.
Appendix D: BATS, LAPS, and LEAF comparison tables.
Appendix E: Summary of datasets (2000).
The second 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.
Basic set of equations.
Simplification of the basic equations.
Averaging the conservation relations.
Physical and analytical modeling.
Coordinate transformations.
Parameterization-averaged subgrid-scale fluxes.
Averaged radiation flux divergence.
Parameterization of moist thermodynamic processes.
Methods of solution.
Boundary and initial conditions.
Model evaluation.
Examples of mesoscale models.
Appendix A: The solution of eqs. (10-28) and (10-47).
Appendix B: Model summaries.
Appendix C: Summary of several cumulus cloud parameterization schemes.
Appendix D: BATS, LAPS, and LEAF comparison tables.
Appendix E: Summary of datasets (2000).
The second 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.
