Modeling of Tropospheric Delays Using ANFIS

Nonfiction, Science & Nature, Science, Other Sciences, Meteorology, Computers, Internet
Cover of the book Modeling of Tropospheric Delays Using ANFIS by Wayan Suparta, Kemal Maulana Alhasa, Springer International Publishing
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Author: Wayan Suparta, Kemal Maulana Alhasa ISBN: 9783319284378
Publisher: Springer International Publishing Publication: December 22, 2015
Imprint: Springer Language: English
Author: Wayan Suparta, Kemal Maulana Alhasa
ISBN: 9783319284378
Publisher: Springer International Publishing
Publication: December 22, 2015
Imprint: Springer
Language: English

This book investigates tropospheric delays, one of the main error sources in Global Navigation Satellite Systems (GNSS), and its impact plays a crucial role in near real-time weather forecasting. Accessibility and accurate estimation of this parameter are essential for weather and climate research. Advances in GNNS application has allowed the measurements of Zenith Tropospheric Delay (ZTD) in all weather conditions and on a global scale with fine temporal and spatial resolution. However, GPS data are not always available for a full 24-hour period. Using a soft computing technique such as Adaptive Neuro-Fuzzy Inference System (ANFIS) as a new alternative, the ZTD can be determined by using the surface meteorological data as inputs. The estimation and prediction of ZTD value are presented in this book.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book investigates tropospheric delays, one of the main error sources in Global Navigation Satellite Systems (GNSS), and its impact plays a crucial role in near real-time weather forecasting. Accessibility and accurate estimation of this parameter are essential for weather and climate research. Advances in GNNS application has allowed the measurements of Zenith Tropospheric Delay (ZTD) in all weather conditions and on a global scale with fine temporal and spatial resolution. However, GPS data are not always available for a full 24-hour period. Using a soft computing technique such as Adaptive Neuro-Fuzzy Inference System (ANFIS) as a new alternative, the ZTD can be determined by using the surface meteorological data as inputs. The estimation and prediction of ZTD value are presented in this book.

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