Modeling of Tropospheric Delays Using ANFIS

  • Wayan Suparta
  • Kemal Maulana Alhasa

Part of the SpringerBriefs in Meteorology book series (BRIEFSMETEOR)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Wayan Suparta, Kemal Maulana Alhasa
    Pages 1-4
  3. Wayan Suparta, Kemal Maulana Alhasa
    Pages 5-18
  4. Wayan Suparta
    Pages 19-52
  5. Wayan Suparta, Kemal Maulana Alhasa
    Pages 53-84
  6. Wayan Suparta, Kemal Maulana Alhasa
    Pages 85-107
  7. Back Matter
    Pages 109-109

About this book


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.


Adaptive Neuro Fuzzy Inference System GPS Numerical Modeling Predictive Model Zenith Total Delay (ZTD)

Authors and affiliations

  • Wayan Suparta
    • 1
  • Kemal Maulana Alhasa
    • 2
  1. 1.Space Science Centre (ANGKASA)Universiti Kebangsaan MalaysiaBangiMalaysia
  2. 2.Space Science Centre (ANGKASA)Universiti Kebangsaan MalaysiaBangiMalaysia

Bibliographic information

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