Derived precipitable water vapour from GNSS and radiosonde data using time series and spatial least-square

نویسندگان

چکیده

Precipitable water vapour (PWV) plays an important role in rain prediction; up to now, lots of different measuring methods and devices are developed observe PWV. In this paper, radiosonde techniques used compute PWV’s spatial temporal variations GNSS (Global Navigation Satellite Systems) using only. data (GPS GLONASS) from eight Egyptian stations were processed for the year 2014. Five period 2005 2016 used. Time series is constructed daily surface measurements stations. The linear trend estimated by straight line fit over 12 years seasonally adjusted PWV time series. Egypt has a positive at more than five sites with rate 0.3 mm/year. monthly cycle near sine curve stochastic errors 0% 5.4% years. comparison between PPP approach each station 2014 was done station. nearest two stations, “MTRH” “62,306”, get bias 0.66 mm. Three common interpolation (Inverse Distance Weighting, Kriging, Minimum Curve) biases three 1.65 mm, 1.96 mm 0.61 respectively. statistical Curve found superior other mean error Mersa-Matrouh, Aswan Al-Arish reaching 0.1 1.0 0.30 minimum technique recommended prediction amount.Abbreviations: PWV: precipitable vapour; PPP: precise point positioning; GNSS: global navigation satellite system; ZPD: tropospheric zenith path delay; ZWD: wet IDW: inverse distance weighting; MC: curvature; IGS: International service.

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ژورنال

عنوان ژورنال: NRIAG Journal of Astronomy and Geophysics

سال: 2022

ISSN: ['2090-9985', '2090-9977']

DOI: https://doi.org/10.1080/20909977.2021.2000267