A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessible textbook and reference for students and early-career researchers in the climate sciences.

This major new collection combines essays and articles from Tippett's two earlier books--Moving into Aquarius and Music of the Angels with a substantial amount of new material to distill the opinions and experiences of one of the century's most celebrated composers. Published to coincide with the composer's 90th birthday, the pieces focus particularly on the work of other twentieth-century composers as well as Tippett's own, from his early success A Child of Our Time, to the recent opera New Year and the orchestral piece The Rose Lake. Other essays deal with aesthetics, the role of the artist in society, and interpretation and performance, making the book of compelling interest not only to students and scholars, but to performers, conductors, and opera directors as well.