This guide to forecasting adverse weather in the tropics combines theoretical foundations with practical methods for short-range forecasting in Northeast Brazil. It uses synoptic analysis, satellite data, and numerical models, making it essential for students and professionals.
Climate Change and Water-Related Challenges in Pakistan
Pakistan is one of the countries most affected by climate change, facing crises in water and food security. This collection by leading academics examines the burden of the problem and presents feasible, affordable solutions to inspire discourse and accelerated action.
This book explores the ecological aspects of climate change using the ecological footprint model. Featuring case studies from the Danube River and data from a research station north of the Polar Circle, it is of interest to students, teachers, and scientists.
This book presents up-to-date research on climate and land use change impacts on water resources. Illustrated with case studies and mathematical modelling, it provides a concise overview for graduate students, engineers, and researchers in the environmental sciences.
This book summarizes the latest research on applying nature-inspired metaheuristic algorithms with artificial neural networks (ANNs) to solve real-world hydrology problems. Discover novel models for rainfall prediction, water level forecasting, and imputing missing data.
Reflecting on our Changing Climate, from Fear to Facts
This book reflects on how “climate change” has become a euphemism for “carbon dioxide emissions.” Focusing solely on CO2 overlooks other complex factors contributing to extreme weather. It argues for a broader view, useful for students, researchers and policy makers.
This book deepens the theoretical understanding of mesoscale dynamics with new research results. By integrating theory with practice, it introduces forecast methods for rainstorms and other disastrous weathers. For operational forecasters, researchers, and students.