"Encyclopedia of Atmospheric Sciences, 2nd Edition"is an authoritative resource covering all aspects of atmospheric sciences, including both theory and applications. With more than 320 articles and 1,600 figures and photographs, this revised version of the award-winning first edition offers comprehensive coverage of this important field. The six volumes in this set contain broad-ranging articles on topics such as atmospheric chemistry, biogeochemical cycles, boundary layers, clouds, general circulation, global change, mesoscale meteorology, ozone, radar, satellite remote sensing, and weather prediction.

The "Encyclopedia" is an ideal resource for academia, government, and industry in the fields of atmospheric, ocean, and environmental sciences. It is written at a level that allows undergraduate students to understand the material, while providing active researchers with the latest information in the field.
Covers all aspects of atmospheric sciences-including both theory and applicationsPresents more than 320 articles and more than 1,600 figures and photographsBroad-ranging articles include topics such as atmospheric chemistry, biogeochemical cycles, boundary layers, clouds, general circulation, global change, mesoscale meteorology, ozone, radar, satellite remote sensing, and weather predictionAn ideal resource for academia, government, and industry in the fields of atmospheric, ocean, and environmental sciences"

Through methodology unique for tropical cyclones in peer-reviewed literature and through examination of two tropical cyclone events, this study uses ensemble forecasts, sensitivity analysis, and ensemble data assimilation to explore the dynamics and predictability of tropical cyclone formation with state-of-the-art cloud-resolving mesoscale models. In both of these cases, high convective available potential energy and mid-level moisture were found to benefit genesis. The strong sensitivity to initial condition differences in both cases exemplifies the inherent uncertainties in hurricane intensity prediction where moist convection is the key that limits predictability. The success of using an ensemble Kalman filter in assimilating Doppler radar radial velocity observations of a hurricane demonstrates that, even in cases of extreme uncertainty in a tropical cyclone, advanced data assimilation and subsequent event-dependent probabilistic forecasts can offer significant benefits.