Estimation water vapor content using the mixing ratio method and validated with the ANFIS PWV model

Wayan Suparta, K. M. Alhasa, Mandeep Singh Jit Singh

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This study reported the comparison between water vapor content, the surface meteorological data (pressure, temperature, and relative humidity), and precipitable water vapor (PWV) produced by PWV from adaptive neuro fuzzy inference system (ANFIS) for areas in the Universiti Kebangsaan Malaysia Bangi (UKMB) station. The water vapor content value was estimated with mixing ratio method and the surface meteorological data as the parameter inputs. The accuracy of water vapor content was validated with PWV from ANFIS PWV model for the period of 20-23 December 2016. The result showed that the water vapor content has a similar trend with the PWV which produced by ANFIS PWV model (r = 0.975 at the 99% confidence level). This indicates that the water vapor content that obtained with mixing ratio agreed very well with the ANFIS PWV model. In addition, this study also found, the pattern of water vapor content and PWV have more influenced by the relative humidity.

Original languageEnglish
Article number012041
JournalJournal of Physics: Conference Series
Volume852
Issue number1
DOIs
Publication statusPublished - 6 Jun 2017

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mixing ratios
inference
water vapor
humidity
Malaysia
confidence
stations

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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Estimation water vapor content using the mixing ratio method and validated with the ANFIS PWV model. / Suparta, Wayan; Alhasa, K. M.; Jit Singh, Mandeep Singh.

In: Journal of Physics: Conference Series, Vol. 852, No. 1, 012041, 06.06.2017.

Research output: Contribution to journalArticle

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