The GOES-R Series - 1st Edition - ISBN: 9780128143278

The GOES-R Series

1st Edition

A New Generation of Geostationary Environmental Satellites

Editors: Steven Goodman Timothy Schmit Jaime Daniels Robert Redmon
Paperback ISBN: 9780128143278
Imprint: Elsevier
Published Date: 7th October 2019
Page Count: 306
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Description

The GOES-R Series: A New Generation of Geostationary Environmental Satellites introduces the reader to the most significant advance in weather technology in a generation. The world’s new constellation of geostationary operational environmental satellites (GOES) are in the midst of a drastic revolution with their greatly improved capabilities that provide orders of magnitude improvements in spatial, temporal and spectral resolution. Never before have routine observations been possible over such a wide area. Imagine satellite images over the full disk every 10 or 15 minutes and monitoring of severe storms, cyclones, fires and volcanic eruptions on the scale of minutes.

Key Features

  • Introduces the GOES-R Series, with chapters on each of its new products
  • Provides an overview of how to read new satellite images
  • Includes full-color images and online animations that demonstrate the power of this new technology

Readership

Scientists in the field of satellite meteorology as well as graduate students and post-docs in the field of remote sensing, satellite and satellite applications

Table of Contents

Ch. 1: GOES-R Series Introduction
Ch. 2: History of Geostationary Weather Satellites
Ch. 3: GOES-R Series Spacecraft and Instruments
Ch. 4: ABI Imagery from the GOES-R Series
Ch. 5: Red-Green-Blue Composites from the GOES-R Series ABI
Ch. 6: ABI Cloud Products from the GOES-R Series
Ch. 7: ABI Legacy Atmospheric Profiles and Derived Products from the GOES-R Series
Ch. 8: Winds from ABI on the GOES-R Series
Ch. 9: GOES-R Series Applications to Hurricane Monitoring
Ch. 10: Remote Sensing of Volcanic Ash with the GOES-R Series
Ch. 11: Rainfall Rates from the GOES-R Series
Ch. 12: Land Surface Temperature Product from the GOES-R Series
Ch. 13: Monitoring Fires with the GOES-R Series
Ch. 14: Snow and Ice Products from ABI on the GOES-R Series
Ch. 15: Shortwave Radiation from ABI on the GOES-R Series
Ch. 16: Lightning Detection: GOES-R Series Geostationary Lightning Mapper
Ch. 17: Air Quality Applications of ABI Aerosol Products from the GOES-R Series
Ch. 18: GOES-R Series Solar Dynamics
Ch. 19: GOES-R Series Solar X-Ray and Ultraviolet Irradiance
Ch. 20: The GOES-R Series Space Environment In-Situ Suite (SEISS): Measurement of Energetic Particles in Geospace
Ch. 21: Magnetic Field Observations from the GOES-R Series
Ch. 22: GOES-R Series Data Access and Dissemination
Ch. 23: GOES-R Series Summary and Look Ahead

Details

No. of pages:
306
Language:
English
Copyright:
© Elsevier 2020
Published:
7th October 2019
Imprint:
Elsevier
Paperback ISBN:
9780128143278

About the Editor

Steven Goodman

Dr. Steven Goodman, now retired from NOAA, was the Senior Program Scientist for the GOES-R Program from 2007-2017. During that time, he served as the primary science authority for the nation’s next generation geostationary environmental satellite program, a joint agency development managed by NOAA and NASA. His research interests include the global distribution and variability of thunderstorms, lightning and precipitation physics, and the application of space-based remote sensing to improve the short-range forecasting of severe storms. Following a 20-year career with NASA and prior to joining the GOES-R Program Office, he served as the Deputy Director of the NESDIS Office for Satellite Research and Applications and as the Acting Deputy Director for the Joint Center for Satellite Data Assimilation. He is a past recipient of the NASA Medal for Exceptional Scientific Achievement for his research on severe storms and a Fellow of the American Meteorological Society.

Affiliations and Expertise

Senior Advisor, GOES-R Program, Thunderbolt Global Analytics, USA

Timothy Schmit

Tim Schmit is at the Advanced Satellite Products Branch within NOAA's NESDIS Center for SaTellite Applications and Research (STAR) located in Madison, WI (the “birthplace of satellite meteorology”). Tim received his Bachelors and Masters degrees from the University of Wisconsin-Madison. Tim supports both the current GOES (sounder and imager) and the GOES-R (mostly the next generation advanced imager, and to a lesser extent advanced geostationary sounders). Tim's experience with satellite data and processing covers a number of areas, including calibration, visualization, simulations and algorithms for processing satellite data into meteorological/environmental information and user readiness and training. Tim has extensive experience with data and deriving products from the current GOES imager and sounder data, including the check-out of GOES-8 through 15. When Tim began working on the ABI in 1999, it only had 8 spectral bands, yet a long list of requirements. It now has 16 bands. Tim’s claim to fame is that he has been working on GOES-R longer than any other current NOAA employee. Tim is the co-chair of both the Imagery and Soundings Algorithm Working Group (AWG) teams and has long been communicating the benefits of the ABI. Tim received the Department of Commerce Gold medal for ‘outstanding efforts in orchestrating the use of retired geostationary weather satellites for improved coverage of South America’. In 2011, he won the T. Theodore Fujita Research Achievement Award from the National Weather Association (NWA) for ‘excellence in promoting and extending the use of satellite data within the operational community currently and in the future.’ Tim was a 2018 finalist for the Samuel J. Heyman Service to America Award and was recently elected a Fellow of the American Meteorological Society.

Affiliations and Expertise

Advanced Satellite Products Branch, NESDIS Center, National Oceanic and Atmospheric Administration, USA

Jaime Daniels

Jaime Daniels currently serves as the Program Manager for the GOES-R Algorithm Working Group (AWG) and is the lead of the GOES-R AWG Winds Application Team responsible for the development of the GOES-R ABI derived motion wind and hurricane intensity product algorithms. Over his 30 years at NESDIS/STAR, he led, coordinated, and conducted research to develop, demonstrate, and validate new and/or improved level-2 product algorithms for a number of domestic and international geostationary and polar satellite systems. Between 2008 and 2016 he served as a co-chair of the International Winds Working Group (IWWG) which is one of four international science working groups belonging to the World Meteorological Organization (WMO)’s Coordination Group for Meteorological Satellites (CGMS). He currently serves as the CGMS Rapporteur to the IWWG.

Affiliations and Expertise

Program Manager, GOES-R Algorithm Working Group (AWG) and Lead, GOES-R AWG Winds Application Team, NESDIS/STAR, USA

Robert Redmon

Robert J. Redmon received a D.B.S. in Electrical Engineering and Computational Mathematics from the University of California, Riverside in 1998, a M.S. in Electrical Engineering from the University of Notre Dame in 2000 and a PhD in Aerospace Engineering Sciences from the University of Colorado, Boulder in 2012. His activities within NOAA’s National Centers for Environmental Information (NCEI) Solar and Terrestrial Physics section have included developing radar systems; studying auroral processes, and magnetic fields; calibrating space-borne magnetometers; and investigating satellite anomalies. He recently published a paper exploring space weather impacts during the 2017 hurricane season.

Affiliations and Expertise

Solar & Terrestrial Physics (STP) section lead, National Centers for Environmental Information (NCEI), National Oceanic and Atmospheric Administration, USA

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