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Tropopause Estimation from GPS-RO Space-based by Using Covariance Linear Regression Technique

Rohaniza M. Zali and Mandeep J. S.
1. Sharad Institute of Technology College of Engineering, Ichalkaranji, Maharashtra, India
2. Department of Electrical, Electronic & System, Faculty of Engineering & Built Environment, UKM, Malaysia

Abstract—The variation of tropopause height was shown can be lead to changes in weather conditions and also be used as among indicators for climate change activities. Therefore, there are various study was conducted a way to estimate the tropopause location for these purposes through atmospheric profiling from the data collection by various satellite missions. Thus, the recent year shows that the importance of Radio Occultation (RO) data collected by GPS-LEO satellite which has high accuracy data for atmospheric profiling measurement. Furthermore, the RO sounding which are processes from the bending angle profiling using Abel Transform that also correlated with the refractivity profile from the atmosphere layer structure. Due to the sensitivity of RO data towards the atmosphere condition and the different refractivity of atmosphere layer due to the water vapor content, so these studies has been conducted to determine the tropopause location by using the refractivity profile from the space-based station. The vertical resolution data used in this study was collected from 2016 to 2019 from the GRACE and METOPA satellite mission. The tropopause determination using the refractivity profile then has been validated with the current method used such CPT and LRT which define by WMO. The average value of the tropopause distribution has been measured by the latitude zone for both hemisphere and it shows that the good correlation of refractivity profile for tropopause determination with the standard deviation of 0.07951. Thus, from the whole research analysis conducted, the high precision of measurement for tropopause height location at the lower latitude and mid latitude while lower precision measurement in a high latitude >60⁰ due to the double tropopause layer.
Index Terms—GPS-RO, tropopause, refractivity, linear regression

Cite: Rohaniza M. Zali and Mandeep J. S., "Tropopause Estimation from GPS-RO Space-based by Using Covariance Linear Regression Technique," Journal of Communications vol. 17, no. 2, pp. 150-155, February 2022. Doi: 10.12720/jcm.17.2.150-155

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