Estimation of Atmospheric Water Vapor from Anfis Technique and its Validation with GPS Data

Suparta, Wayan and Alhasa, Kemal Maulana (2019) Estimation of Atmospheric Water Vapor from Anfis Technique and its Validation with GPS Data. JURNAL INFOTEL Informatics - Telecommunication - Electronics, 11 (1). pp. 8-14. ISSN 2460-0997

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Abstract

Adaptive neuro-fuzzy inference system (ANFIS) is a prospective approach in modeling weather parameters based on learning from historical data used. This study presented the comparison of tropospheric precipitable water vapor (PWV) between ANFIS and Global Positioning System (GPS) for areas in Pekan, Pahang, Malaysia. The PWV value was estimated with the ANFIS model with the surface meteorological data as inputs. The accuracy of PWV from ANFIS has been validated with PWV from GPS measurements for the period of 2010. The result showed that the ANFIS PWV has a similar trend with the GPS PWV (r = 0.999 at the 99% confidence level) and found a difference of 0.024%. The PWV from ANFIS was calculated 0.035% higher compared to GPS PWV and found a similar character in two seasonal monsoons. This indicates that the PWV obtained with ANFIS model agreed very well with GPS measurements and it can be implemented to monitor atmospheric variability as well as climate change studies in the absence of GPS data.

Item Type:	Artikel
Uncontrolled Keywords:	estimation and validation, ANFIS PWV, GPS PWV, weather forecast
Subjects:	A General Works > AC Collections. Series. Collected works
Divisions:	Universitas Pembangunan Jaya
Depositing User:	Alexandro Andika
Date Deposited:	03 May 2023 03:24
Last Modified:	03 May 2023 03:24
URI:	http://eprints.upj.ac.id/id/eprint/4944

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