Wow! eBook
Rainfall: Behavior, Forecasting and Distribution (Environmental Science, Engineering and Technology)
by: Olga E. Martin (Editor), Tricia M. Roberts (Editor)
Publisher: Nova Science Pub Inc
Edition: UK ed.
Publication Date: 2013-01-01
Language: English
Print Length: 193 pages
ISBN-10: 1620815516
ISBN-13: 9781620815519
Book Description
In this book, the authors present topical research in the study of the behaviour, forecasting and distribution of rainfall variability. Topics discussed in this compilation include coping strategies in relation to local rainfall variability in Tanzania; rainfall variability and changes in Bangladesh; non-parametric methods for forecasting time series from cumulative monthly rainfall; long term and interannual rainfall variability in the Argentinean Chaco plain region; study of wet scavenging of atmospheric aerosols using decay products in rainwater; spatial variability of rain and its erosivity in a tropical semi-arid area in Kenya; potential of the piezoelectric transducer for direct rainfall kinetic energy measurement and erosivity evaluation; climatology and rainfall in north-east Brazil; and the Kalman Filtering approach in the calibration of radar rainfall data.
Editorial Reviews
In this book, the authors present topical research in the study of the behaviour, forecasting and distribution of rainfall variability. Topics discussed in this compilation include coping strategies in relation to local rainfall variability in Tanzania; rainfall variability and changes in Bangladesh; non-parametric methods for forecasting time series from cumulative monthly rainfall; long term and interannual rainfall variability in the Argentinean Chaco plain region; study of wet scavenging of atmospheric aerosols using decay products in rainwater; spatial variability of rain and its erosivity in a tropical semi-arid area in Kenya; potential of the piezoelectric transducer for direct rainfall kinetic energy measurement and erosivity evaluation; climatology and rainfall in north-east Brazil; and the Kalman Filtering approach in the calibration of radar rainfall data.
