Textbook in PDF format

After nearly 50 years of sustained research and 30 years of operational deployment, research in weather radars has witnessed tremendous growth over the past decade and is now spilling over to novel applications and geographies. This book provides a systematic and thorough review of advances in research, developments, and technologies in the field.A truly comprehensive collection in 3 volumes, Advances in Weather Radar has been developed by three expert editors and written by senior researchers from academia, research laboratories, and national weather agencies. Every chapter has been reviewed by the editors and an external reviewer to ensure quality and accuracy.The key elements for understanding weather radar are covered, from the fundamental science and engineering to signal processing, electromagnetics, and applications. Special attention is given to dual-polarization radar because of its important applications in rainfall measurement, in elucidating details of cloud physical processes, classification of meteorological and non-meteorological echo types, the validation and evaluation of bulk microphysical schemes that predict number density and mixing ratio, and radar hydrology among other more recent applications.Volume 2: Precipitation science, scattering, and processing algorithms considers theoretical milestones achieved in microphysics, electromagnetics, and signal processing of radar meteorology.
Phased array weather radar developed in Japan
Weather radar data calibration and monitoring
Scattering by snow particles
Radar and hail: advances in scattering, detection, and sizing
Understanding the role of rain drop shapes and fall velocities in rainfall estimation from polarimetric weather radars
The raindrop size distribution - the unknown that holds everything together
Fusion of radar polarimetry and atmospheric modeling
End-to-end simulations of dual-polarization tornado debris signatures
Satellite combined radar-radiometer algorithms
Weather radar measurements in Antarctica
Radar advances related to severe weather
Deep-learning-aided rainfall estimation from communications satellite links