- Uses authentic examples to give readers the ability to utilize real world data
- Covers boundary layer meteorology without requiring knowledge of advanced mathematics
- Provides a set of tools that can be used by the reader to better understand land-air interactions
- Provides specific applications for a wide spectrum of environmental systems
1. What is the Boundary Layer 2. Flux 3. Convective Boundary Layers 4. Nocturnal Boundary Layer 5. Spatial Patterns and Scales 6. Measurement Techniques 7. Hydrology and the Boundary Layer 8. The Carbon Cycle and the Boundary Layer 9. Vegetative Environments 10. Flow in Complex Environments 11. Urban Boundary Layer 12. Transport and Tracking 13. Energy 14. Climate Change
April Hiscox is an associate professor of geography at the University of South Carolina. She has been working in boundary layer meteorology, remote sensing and air pollution for 15 years. Her research specialization is in stable boundary layers, with a particular focus on forest and agricultural applications. Her work is at the forefront of new measurement techniques, particularly in the realm of deriving quantitative information from lidar measurements. She has been teaching micrometeorology courses for 8 years at both the undergraduate and graduate levels.
McCombs, Alexandria G.
Alexandria G. McCombs is a postdoctoral researcher of geography at the University of South Carolina. She studies processes for linking mesoscale and microscale agricultural and forested environments using satellite remote sensing and surface observations. Her specialization is in quantitative methods for synthesizing of boundary layer observations from satellite, surface, and flux footprints to micro- to meso- spatial and temporal scales. She spent 7 years as a quality assurance meteorologist for an operational mesoscale observing network, which allowed her to gain significant experience in the practical implications of understanding the land air interface. She teaches courses in meteorology, physical geography, and human-environment interactions.