Найти книгу: "Numerical Weather Prediction and Data Assimilation"

This book has as main aim to be an introductory textbook of applied knowledge in Numerical Weather Prediction (NWP), which is a method of weather forecasting that employs: A set of equations that describe the flow of fluids translated into computer code, combined with parameterizations of other processes, applied on a specific domain and integrated in the basis of initial and domain boundary conditions. Current weather observations serve as input to the numerical computer models through a process called data assimilation to produce atmospheric properties in the future (e.g. temperature, precipitation, and a lot of other meteorological parameters). Various case studies will be also presented and analyzed through this book.

Полный вариант заголовка: «Les predictions de Jean Gorani, citoyen francais, sur la Revolution de France».

A comprehensive history of the evolution of technical analysis from ancient times to the Internet age Whether driven by mass psychology, fear or greed of investors, the forces of supply and demand, or a combination, technical analysis has flourished for thousands of years on the outskirts of the financial establishment. In The Evolution of Technical Analysis: Financial Prediction from Babylonian Tablets to Bloomberg Terminals, MIT's Andrew W. Lo details how the charting of past stock prices for the purpose of identifying trends, patterns, strength, and cycles within market data has allowed traders to make informed investment decisions based in logic, rather than on luck. The book Reveals the origins of technical analysis Compares and contrasts the Eastern practices of China and Japan to Western methods Details the contributions of pioneers such as Charles Dow, Munehisa Homma, Humphrey B. Neill, and William D. Gann The Evolution of Technical Analysis explores the fascinating history of technical analysis, tracing where technical analysts failed, how they succeeded, and what it all means for today's traders and investors.