| Description |
1 online resource (308 pages) |
| Contents |
Front Cover; The GOES-R Series: A New Generation of Geostationary Environmental Satellites; Copyright; Contents; Contributors; Preface; Acknowledgments; Abbreviations and Acronyms; Chapter 1 GOES-R Series Introduction; Acknowledgments; References; Chapter 2 History of Geostationary Weather Satellites; 2.1 The Early Days; 2.2 Other Nations Join In; 2.3 Evolving GOES; 2.3.1 The GOES Sounder; 2.4 Advanced Geo Imagers; 2.5 High Spectral Resolution Geo Sounders; 2.6 The Future; Acknowledgments; References; Further Reading; Chapter 3 GOES-R Series Spacecraft and Instruments |
|
3.1 GOES-R Mission History and Overview3.2 GOES-R Series Space Segment Overview; 3.3 Advanced Baseline Imager; 3.4 Geostationary Lightning Mapper; 3.5 Extreme Ultraviolet and X-ray Irradiance Sensors; 3.6 Solar Ultraviolet Imager; 3.7 Space Environment In Situ Suite; 3.8 Magnetometer; 3.9 Communications Payloads; Acknowledgments; References; Chapter 4 ABI Imagery from the GOES-R Series; 4.1 Introduction; 4.2 Imagery; 4.2.1 Visible Spectral Bands; 4.2.2 Near-IR Spectral Bands; 4.2.3 IR Spectral Bands; 4.3 Future Enhancements; 4.4 Summary; Acknowledgments; References; Further Reading |
|
Chapter 5 Red-Green-Blue Composites from the GOES-R Series ABI5.1 Introduction; 5.2 Scaling and Simple RGBs; 5.3 Advanced RGBs; 5.4 Summary; Acknowledgments; References; Further Reading; Chapter 6 ABI Cloud Products from the GOES-R Series; 6.1 Introduction; 6.2 Products and Their Physical Basis; 6.2.1 Cloud Detection; 6.2.2 Applications: Radiance Assimilation for NWP; 6.2.3 Cloud Height; 6.2.4 Application: Generation of Target Heights for Cloud-Drift Winds; 6.2.5 Daytime Cloud Optical Properties; 6.2.6 Applications: Solar Energy Estimation; 6.3 Future Enhancements |
|
6.3.1 Use of Native Resolution to Detect Partly Cloudy 2-km Pixels6.3.2 Use of Native Resolution for Cloud Detection; 6.4 Fog Detection and Characterization; 6.5 Summary; Acknowledgments; References; Further Reading; Chapter 7 ABI Legacy Atmospheric Profiles and Derived Products from the GOES-R Series; 7.1 Introduction; 7.2 LAP Algorithm; 7.2.1 The Generalized Least Squares Regression; 7.2.2 The Physical Retrieval Algorithm; 7.2.3 Derived Products; 7.3 Product Validation; 7.3.1 Legacy Vertical Temperature/Moisture Profiles; 7.3.2 Total Precipitable Water; 7.3.3 Derived Instability Indices |
|
7.4 Applications to Weather Forecasting7.4.1 A North Dakota/Minnesota storm case on June 21, 2017; 7.4.2 A Nebraska/Iowa Storm Case on June 29, 2017; 7.4.3 An Illinois Storm Case on July 10, 2017; 7.5 Future Enhancements; 7.6 Summary; Acknowledgments; References; Further Reading; Chapter 8 Winds from ABI on the GOES-R Series; 8.1 Introduction; 8.2 GOES-R ABI Winds Algorithm; 8.2.1 Target Selection; 8.2.2 Feature Tracking; 8.2.3 Height Assignment; 8.2.4 Quality Control; 8.3 ABI Winds Product; 8.4 Validation and Evaluation of GOES-16 Winds; 8.5 Future Enhancements and Applications; 8.6 Summary |
| Notes |
Acknowledgments |
|
Print version record |
| Subject |
GOES (Meteorological satellite)
|
| SUBJECT |
GOES (Meteorological satellite) fast |
| Subject |
Geostationary satellites.
|
|
Geostationary satellites
|
| Form |
Electronic book
|
| Author |
Goodman, S. (Steven)
|
|
Schmit, Timothy J
|
|
Daniels, Jaime M
|
|
Redmond, Robert J
|
| ISBN |
0128143282 |
|
9780128143285 |
|
