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151222s2016 sz | s |||| 0|eng d |
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|a 9783319284378
|9 978-3-319-28437-8
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|a 10.1007/978-3-319-28437-8
|2 doi
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|a QC851-999
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|a RBP
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|a SCI042000
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|a RBP
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|a 551.5
|2 23
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|a Suparta, Wayan.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Modeling of Tropospheric Delays Using ANFIS
|h [electronic resource] /
|c by Wayan Suparta, Kemal Maulana Alhasa.
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|a 1st ed. 2016.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a XVI, 109 p. 51 illus., 23 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Meteorology,
|x 2199-9120
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|a Introduction -- Adaptive Neuro Fuzzy Inference System -- Tropospheric Delay Modeling from GPS -- Estimation of ZTD Using ANFIS -- Prediction of ZTD Based on ANFIS Model.
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|a 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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|a Atmospheric science.
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|a Climatology.
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|a Computer science.
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|a System theory.
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|a Mathematical physics.
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|a Atmospheric Science.
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|a Climate Sciences.
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|a Models of Computation.
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|a Complex Systems.
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|a Theoretical, Mathematical and Computational Physics.
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|a Alhasa, Kemal Maulana.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319284354
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|i Printed edition:
|z 9783319284361
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830 |
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|a SpringerBriefs in Meteorology,
|x 2199-9120
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-319-28437-8
|z Texto Completo
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|a ZDB-2-EES
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|a ZDB-2-SXEE
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|a Earth and Environmental Science (SpringerNature-11646)
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|a Earth and Environmental Science (R0) (SpringerNature-43711)
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