3S Technology Applications in Meteorology
Observations, Methods, and Modelling
1st Edition
Published on 19. October 2023
439 pages
978-1-000-96672-5 (ISBN)
Description
Spatial information technology and its integration, such as remote sensing, geographic information systems (GIS), and global navigation satellite systems (GNSS), known as 3S technology, have been extensively utilized in managing and monitoring natural disasters. This book illustrates the 3S integrated applications in the field of meteorology and promotes the role of 3S in developing precise and intelligent meteorology. It presents the principles of 3S technology and the methods for monitoring different meteorological disasters and hazards as well as their application progress. The case studies from the United States, Japan, China, and Europe were conducted to help all countries understand the 3S technology functions in handling and monitoring severe meteorological hazards.
FEATURES
Presents integral observations from GNSS, GIS, and remote sensing in estimating and understanding meteorological changes
Explains how to monitor and retrieve atmospheric parameter changes using GNSS and remote sensing
Shows three-dimensional modelling and evaluations of meteorological variation processing based on GIS
Helps meteorologists develop and use space-air-ground integrated observations for meteorological applications
Illustrates the practices in monitoring meteorological hazards using space information techniques and case studies
This book is intended for academics, researchers, and postgraduate students who specialize in geomatics, atmospheric science, and meteorology, as well as scientists who work in remote sensing and meteorology, and professionals who deal with meteorological hazards.
FEATURES
Presents integral observations from GNSS, GIS, and remote sensing in estimating and understanding meteorological changes
Explains how to monitor and retrieve atmospheric parameter changes using GNSS and remote sensing
Shows three-dimensional modelling and evaluations of meteorological variation processing based on GIS
Helps meteorologists develop and use space-air-ground integrated observations for meteorological applications
Illustrates the practices in monitoring meteorological hazards using space information techniques and case studies
This book is intended for academics, researchers, and postgraduate students who specialize in geomatics, atmospheric science, and meteorology, as well as scientists who work in remote sensing and meteorology, and professionals who deal with meteorological hazards.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Product notice
Reflowable
Illustrations
56 Tables, black and white; 178 Line drawings, color; 37 Line drawings, black and white; 24 Halftones, color; 202 Illustrations, color; 37 Illustrations, black and white
ISBN-13
978-1-000-96672-5 (9781000966725)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
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07/2025
1st Edition
CRC Press
€121.70
Shipment within 10-20 days
Book
10/2023
1st Edition
CRC Press
€273.40
Shipment within 10-20 days
Person
Shuanggen Jin, PhD, is Vice-President and Professor at Henan Polytechnic University, Jiaozuo, China; Professor at Shanghai Astronomical Observatory, CAS, Shanghai, China; and Professor at Nanjing University of Information Science and Technology, Nanjing, China. He earned a BS in geodesy at Wuhan University, China, in 1999; and a PhD in geodesy at University of Chinese Academy of Sciences, China, in 2003. He has worked on satellite navigation, remote sensing, and space/planetary exploration with significant original contributions in the theory, methods, and applications of GNSS remote sensing. He has published over 500 peer-reviewed papers and 12 books/ monographs with more than 12,000 citations and H-index >55, as well as more than 20 patents/software copyrights and over 100 invited talks. He has led over 30 projects from Europe's ESA, China-Germany (NSFC-DFG), and China's National Key R&D Program and NSFC. He has supervised over 30 PhD and 50 MSc candidates as well as 20 postdocs.
Professor Jin has been Chair of the IUGG Union Commission on Planetary Sciences, President of International Association of Planetary Sciences (IAPS), President of the International Association of CPGPS, Editor-in-Chief of International Journal of Geosciences, Editor-in-Chief of Journal of Environmental and Earth Sciences, Editor of Geoscience Letters, Associate Editor of IEEE Transactions on Geoscience and Remote Sensing and Journal of Navigation, Editorial Board member of Remote Sensing, GPS Solutions, and Journal of Geodynamics.
He received First Prize of Satellite Navigation and Positioning Progress Award, First Prize of China Overseas Chinese Contribution Award, 100-Talent Program of CAS, World Class Professor of Ministry of Education and Cultures, Indonesia, Chief Scientist of National Key R&D Program, China, Elsevier China Highly Cited Scholar, World's Top 2% Scientists, Fellow of the Electromagnetics Academy, Fellow of the International Union of Geodesy and Geophysics (IUGG), Fellow of the International Association of Geodesy (IAG), Fellow of the African Academy of Sciences, Member of the European Academy of Sciences, Member of the Russian Academy of Natural Sciences, Member of the Turkish Academy of Sciences, and Member of Academia Europaea.
Professor Jin has been Chair of the IUGG Union Commission on Planetary Sciences, President of International Association of Planetary Sciences (IAPS), President of the International Association of CPGPS, Editor-in-Chief of International Journal of Geosciences, Editor-in-Chief of Journal of Environmental and Earth Sciences, Editor of Geoscience Letters, Associate Editor of IEEE Transactions on Geoscience and Remote Sensing and Journal of Navigation, Editorial Board member of Remote Sensing, GPS Solutions, and Journal of Geodynamics.
He received First Prize of Satellite Navigation and Positioning Progress Award, First Prize of China Overseas Chinese Contribution Award, 100-Talent Program of CAS, World Class Professor of Ministry of Education and Cultures, Indonesia, Chief Scientist of National Key R&D Program, China, Elsevier China Highly Cited Scholar, World's Top 2% Scientists, Fellow of the Electromagnetics Academy, Fellow of the International Union of Geodesy and Geophysics (IUGG), Fellow of the International Association of Geodesy (IAG), Fellow of the African Academy of Sciences, Member of the European Academy of Sciences, Member of the Russian Academy of Natural Sciences, Member of the Turkish Academy of Sciences, and Member of Academia Europaea.
Content
1. A Review of 3S Technology and Its Applications in Meteorology. 2. Multi-GNSS Near-Real-Time Tropospheric Parameter Estimation and Meteorological Applications. 3. Spatial-Temporal Variation of GNSS ZTD and Its Responses to ENSO Events. 4. Exploration of Cloud and Microphysics Properties from Active and Passive Remote Sensing. 5. Remote Sensing of Cloud Properties Using Passive Spectral Observations. 6. Cloud Detection and Aerosol Optical Depth Retrieval from MODIS Satellite Imagery. 7. Tropical Belt Widening Observation and Implication from GNSS Radio Occultation Measurements. 8. Upper Atmospheric Mass Density Variations and Space Weather Responses from GNSS Precise Orbits. 9. Estimation and Variations of Surface Energy Balance from Ground, Satellite, and Reanalysis Data. 10. Aboveground Carbon Dynamics from SMOS L-Band Vegetation Optical Depth. 11. Sea Ice Thickness Estimation from Spaceborne GNSS-R. 12. Global Soil Moisture Retrieval from Spaceborne GNSS-R Based on Machine Learning Method. 13. Drought Monitoring and Evaluation in Major African Basins from Satellite Gravimetry. 14. Flood Disaster Monitoring and Extraction Based on SAR Data and Optical Data. 15. Flood Hydrological Simulation and Risk Assessment Based on GIS. 16. Numerical Weather Forecast and Multi-Meteorological Data Fusion Based on Artificial Intelligence.
