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Numerical Weather and Climate Prediction
This textbook provides prehensive, yet accessible, treatment of weather and climate
prediction, for graduate students, researchers, and professionals. It teaches the strengths,
weaknesses, and best practices for the use of atmospheric models, and is ideal for the
many scientists who use such models across a wide variety of applications. The book
describes different numerical methods, data assimilation, ensemble methods, predictabil-
ity, land-surface modeling, climate modeling and downscaling, computational fluid-
dynamics models, experimental designs in model-based research, verification methods,
operational prediction, and special applications such as air-quality modeling and flood
prediction. The book is based on a course that the author has taught for over 30 years at the
Pennsylvania State University and the University of Colorado, Boulder, and also benefits
from his wide practical modeling experience at the US National Center for Atmospheric
Research.
This volume will satisfy everyone who needs to know about atmospheric modeling for
use in research or operations. It is ideal both as a textbook for a course on weather and cli-
mate prediction and as a reference text for researchers and professionals from a range of
backgrounds: atmospheric science, meteorology, climatology, environmental science,
geography, and geophysical fluid mechanics/dynamics.
Tom Warner was a Professor in the Department of Meteorology at the Pennsylvania State
University before accepting his current joint appointment with the National Center for
Atmospheric Research and the University of Colorado at Boulder. His career has involved
teaching and research in numerical weather prediction and mesoscale meteorological pro-
cesses. He has published on these and other subjects in numerous professional journals.
His recent research and teaching has focussed on atmospheric processes, operational
weath