Author:
Publisher:
ISBN:
Category : Numerical weather forecasting
Languages : en
Pages : 526
Book Description
Conference on Numerical Weather Prediction
Author:
Publisher:
ISBN:
Category : Numerical weather forecasting
Languages : en
Pages : 526
Book Description
Publisher:
ISBN:
Category : Numerical weather forecasting
Languages : en
Pages : 526
Book Description
13th Conference on Weather Analysis and Forecasting Including Symposium on Flash Floods
The Modernized End-to-end Forecast Process for Quantitative Precipitation Information
Numerical Weather and Climate Prediction
Author: Thomas Tomkins Warner
Publisher: Cambridge University Press
ISBN: 9780521513890
Category : Science
Languages : en
Pages : 550
Book Description
This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics.
Publisher: Cambridge University Press
ISBN: 9780521513890
Category : Science
Languages : en
Pages : 550
Book Description
This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics.
Predictability of Weather and Climate
Author: Tim Palmer
Publisher: Cambridge University Press
ISBN: 1139458205
Category : Science
Languages : en
Pages : 693
Book Description
With contributions by leading experts, including an unpublished paper by Ed Lorenz, this book, first published in 2006, covers many topics in weather and climate predictability. It will interest those in the fields of environmental science and weather and climate forecasting, from graduate students to researchers, by examining theoretical and practical aspects of predictability.
Publisher: Cambridge University Press
ISBN: 1139458205
Category : Science
Languages : en
Pages : 693
Book Description
With contributions by leading experts, including an unpublished paper by Ed Lorenz, this book, first published in 2006, covers many topics in weather and climate predictability. It will interest those in the fields of environmental science and weather and climate forecasting, from graduate students to researchers, by examining theoretical and practical aspects of predictability.
Third Conference on Mountain Meteorology
Author:
Publisher:
ISBN:
Category : Boundary layer (Meteorology)
Languages : en
Pages : 262
Book Description
Publisher:
ISBN:
Category : Boundary layer (Meteorology)
Languages : en
Pages : 262
Book Description
Publications Abstracts
Author: Environmental Research Laboratories (U.S.)
Publisher:
ISBN:
Category : Environmental policy
Languages : en
Pages : 234
Book Description
Publisher:
ISBN:
Category : Environmental policy
Languages : en
Pages : 234
Book Description
FSL in Review
Author: Forecast Systems Laboratory (U.S.)
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages : 148
Book Description
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages : 148
Book Description
Big Data Analytics for Smart Transport and Healthcare Systems
Author: Saeid Pourroostaei Ardakani
Publisher: Springer Nature
ISBN: 9819966205
Category : Computers
Languages : en
Pages : 197
Book Description
This book aims to introduce big data solutions in urban sustainability applications—mainly smart transportation and healthcare systems. It focuses on machine learning techniques and data processing approaches which have the capacity to handle/process huge, live, and complex datasets in real-time transportation and healthcare applications. For this, several state-of-the-art data processing approaches including data pre-processing, classification, regression, and clustering are introduced, tested, and evaluated to highlight their benefits and constraints where data is sensitive, real-time, and/or semi-structured.
Publisher: Springer Nature
ISBN: 9819966205
Category : Computers
Languages : en
Pages : 197
Book Description
This book aims to introduce big data solutions in urban sustainability applications—mainly smart transportation and healthcare systems. It focuses on machine learning techniques and data processing approaches which have the capacity to handle/process huge, live, and complex datasets in real-time transportation and healthcare applications. For this, several state-of-the-art data processing approaches including data pre-processing, classification, regression, and clustering are introduced, tested, and evaluated to highlight their benefits and constraints where data is sensitive, real-time, and/or semi-structured.