Precipitation Science

This book PDF is perfect for those who love Science genre, written by Silas Michaelides and published by Elsevier which was released on 11 November 2021 with total hardcover pages 871. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Precipitation Science books below.

Precipitation Science
Author : Silas Michaelides
File Size : 47,9 Mb
Publisher : Elsevier
Language : English
Release Date : 11 November 2021
ISBN : 9780128229378
Pages : 871 pages
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Precipitation Science by Silas Michaelides Book PDF Summary

Precipitation Science: Measurement, Remote Sensing, Microphysics and Modeling addresses the latest key concerns for researchers in precipitation science, mainly observing, measuring, modeling and forecasting. Using case studies and global examples, the book demonstrates how researchers are addressing these issues using state-of-the-art methods and models to improve accuracy and output across the field. In the process, it covers such topics as discrepancies between models and observations, precipitation estimations, error assessment, droplet size distributions, and using data in forecasting and simulations. Other sections cover improved standard approaches, novel approaches, and coverage of a variety of topics such as climatology, data records, and more. By providing comprehensive coverage of the most up-to-date approaches to understanding, modeling, and predicting precipitation, this book offers researchers in atmospheric science, hydrology and meteorology with a comprehensive resource for improving outcomes and advancing knowledge. Provides updated and novel approaches to key issues in precipitation research Offers practical knowledge through global examples and case studies Includes full-color visuals to enhance comprehension of key concepts

Precipitation Science

Precipitation Science: Measurement, Remote Sensing, Microphysics and Modeling addresses the latest key concerns for researchers in precipitation science, mainly observing, measuring, modeling and forecasting. Using case studies and global examples, the book demonstrates how researchers are addressing these issues using state-of-the-art methods and models to improve accuracy and output across

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