Notes On Analysis And Severe Storm Forecasting Procedures Of The Military Weather Warning Center
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Notes on Analysis and Severe-storm Forecasting Procedures of the Air Force Global Weather Central
Author | : Robert C. Miller |
Publisher | : |
Total Pages | : 200 |
Release | : 1975 |
Genre | : Thunderstorm forecasting |
ISBN | : |
Application of Meteorological Satellite Data in Analysis and Forecasting
Author | : Ralph K. Anderson |
Publisher | : |
Total Pages | : 356 |
Release | : 1974 |
Genre | : Clouds |
ISBN | : |
The report represents the combined efforts of personnel of the Applications Group, National Environmental Satellite Center (NESC), now the National Environmental Satellite Service (NESS); the NAVAL AIR SYSTEMS COMMAND Project FAMOS; and the Satellite Section, USAF ENVIRONMENTAL TECHNICAL APPLICATIONS CENTER (ETAC). Topics discussed include the following: Satellite cloud atlas and glossary; Synoptic cloud patterns; Application of satellite data to synoptic analysis in the tropics; Local phenomena; Infrared.
Storm and Cloud Dynamics
Author | : William R. Cotton |
Publisher | : Academic Press |
Total Pages | : 897 |
Release | : 1992-10-02 |
Genre | : Science |
ISBN | : 0080959830 |
This book focuses on the dynamics of clouds and of precipitating mesoscale meteorological systems. Clouds and precipitating mesoscale systems represent some of the most important and scientifically exciting weather systems in the world. These are the systems that produce torrential rains, severe winds including downburst and tornadoes, hail, thunder and lightning, and major snow storms. Forecasting such storms represents a major challenge since they are too small to be adequately resolved by conventional observing networks and numerical prediction models.Key Features* Key Highlights of This Text* Provides a complete treatment of clouds integrating the analysis of air motions with cloud structure, microphysics, and precipitation mechanics* Describes and explains the basic types of clouds and cloud systems that occur in the atmosphere-fog, stratus, stratocumulus, altocumulus, altostratus, cirrus, thunderstorms, tornadoes, waterspouts, orographically induced clouds, mesoscale convection complexes, hurricanes, fronts, and extratropical cyclones* Presents a photographic guide, presented in the first chapter, linking the examination of each type of cloud with an image to enhance visual retention and understanding* Summarizes the fundamentals, both observational and theoretical, of atmospheric dynamics, thermodynamics, cloud microphysics, and radar meteorology, allowing each type of cloud to be examined in depth* Integrates the latest field observations, numerical model simulations, and theory* Supplies a theoretical treatment suitable for the advanced undergraduate or graduate level
Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis
Author | : Gupta, Rajeev Kumar |
Publisher | : IGI Global |
Total Pages | : 277 |
Release | : 2022-06-10 |
Genre | : Computers |
ISBN | : 1668439832 |
Weather forecasting and climate behavioral analysis have traditionally been done using complicated physics models and accompanying atmospheric variables. However, the traditional approaches lack common tools, which can lead to incomplete information about the weather and climate conditions, in turn affecting the prediction accuracy rate. To address these problems, the advanced technological aspects through the spectrum of artificial intelligence of things (AIoT) models serve as a budding solution. Further study on artificial intelligence of things and how it can be utilized to improve weather forecasting and climatic behavioral analysis is crucial to appropriately employ the technology. Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis discusses practical applications of artificial intelligence of things for interpretation of weather patterns and how weather information can be used to make critical decisions about harvesting, aviation, etc. This book also considers artificial intelligence of things issues such as managing natural disasters that impact the lives of millions. Covering topics such as deep learning, remote sensing, and meteorological applications, this reference work is ideal for data scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.