Analysis on Characteristics of Radiosonde Bias Using GPS Precipitable Water Vapor

Park, Chang-Geun; Baek, Ji-Hye; Cho, Jungho

doi:10.5140/jass.2010.27.3.213

Cited by 9 publications

(7 citation statements)

References 20 publications

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“…For the assessment of the GNSS-PWV values converted from the RT-ZTD time series, the Hong Kong Stonecutters Island (HKSC) station was selected for the test because it is the station that is closest to the RS station (the distance and height difference between them are about 3 km and 43 m, respectively) in the Hong Kong region, thus they can be considered co-located. PWV derived from RS data (i.e., RS-PWVs) was used as the reference for the GNSS-PWV since they are more precise than GNSS-PWVs [36,37]. These data are updated twice a day at 08:00 (UTC 00:00) and 20:00 (UTC 12:00).…”

Section: Accuracy Of Pwvmentioning

confidence: 99%

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Real-Time GNSS-Derived PWV for Typhoon Characterizations: A Case Study for Super Typhoon Mangkhut in Hong Kong

Zhang

et al. 2019

Remote Sensing

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Typhoons can be serious natural disasters for the sustainability and development of society. The development of a typhoon usually involves a pre-existing weather disturbance, warm tropical oceans, and a large amount of moisture. This implies that a large variation in the atmospheric water vapor over the path of a typhoon can be used to study the characteristics of the typhoon. This is the reason that the variation in precipitable water vapor (PWV) is often used to capture the signature of a typhoon in meteorology. This study investigates the usability of real-time PWV retrieved from global navigation satellite systems (GNSS) for typhoons’ characterizations, and especially, the following aspects were investigated: (1) The correlation between PWV and atmospheric parameters including pressure, temperature, precipitation, and wind speed; (2) water vapor transportation during a typhoon period; and (3) the correlation between the movement of a typhoon and the transportation of water vapor. The case study selected for this research was Super Typhoon Mangkhut that occurred in mid-September 2018 in Hong Kong. The PWV time series were obtained from a conversion of GNSS-derived zenith total delays (ZTDs) using observations at 10 stations selected from the Hong Kong GNSS continuously operating reference stations (CORS) network, which are also located along the path of the typhoon. The Bernese GNSS Software (ver. 5.2) was used to obtain the ZTDs; and the root mean square (RMS) of the differences between the GNSS-ZTDs and International GNSS Service post-processed ZTDs time series was less than 8 mm. The RMS of the differences between the GNSS-PWVs (i.e., the ZTDs converted PWVs) and radiosonde-derived PWVs (RS-PWVs) time series was less than 2 mm. The changes in PWV reflect the variation in wind speed during the typhoon period to a certain degree, and their correlation coefficient was 0.76, meaning a significant positive correlation. In addition, a new approach was proposed to estimate the direction and speed of a typhoon’s movement using the time difference of PWV arrival at different sites. The direction and speed estimated agreed well with the ones published by the China Meteorological Administration. These results suggest that GNSS-derived PWV has a great potential for the monitoring and even prediction of typhoon events, especially for near real-time warnings.

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Section: Accuracy Of Pwvmentioning

confidence: 99%

“…RS data (i.e., RS-PWVs) was used as the reference for the GNSS-PWV since they are more precise than GNSS-PWVs [36,37]. These data are updated twice a day at 08:00 (UTC 00:00) and 20:00 (UTC 12:00).…”

Section: Accuracy Of Pwvmentioning

confidence: 99%

Real-Time GNSS-Derived PWV for Typhoon Characterizations: A Case Study for Super Typhoon Mangkhut in Hong Kong

Zhang

et al. 2019

Remote Sensing

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“…In addition, according to Park et al (2010), the average dry-bias was represented as the level of about 2 mm and the standard deviation was represented as the level of 3-5 mm in observation data of radiosonde and the values measured by GPS in Sokcho and as GPS PWV increases, the dry-deviation is strengthened. The protecting film of scanning reflector is made of rubber material of about 1 cm, so it plays the role of protecting the receiving reflector from precipitation or outer environment.…”

Section: Analysis Of Characteristics By Seasonmentioning

confidence: 99%

Comparison of the Characteristics of Precipitable Water Vapor Measured by Global Positioning System and Microwave Radiometer

Sohn¹,

Park²,

Won³

et al. 2012

Journal of Astronomy and Space Sciences

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In this study, global positioning system (GPS)-derived precipitable water vapor (PWV) and microwave radiometer (MWR)-measured integrated water vapor (IWV) were compared and their characteristics were analyzed. Comparing those two quantities for two years from August 2009, we found that GPS PWV estimates were larger than MWR IWV. The average differ ence over the entire test period was 1.1 mm and the standard deviation was 1.2 mm. When the discrepancies between GPS PWV and MWR IWV were analyzed depending on season, the average difference was 0.7 mm and 1.9 mm in the winter and summer months, respectively. Thus, the average difference was about 2.5 times larger in summer than that in winter. However, MWR IWV measurements in the winter months were over-estimated than those in the summer months as the water vapor content got larger. The results of the diurnal analysis showed that MWR IWV was underestimated in the daytime, showing a difference of 0.8 mm. In the early morning hours, MWR IWV has a tendency to be over-estimated, with a difference of 1.3 mm with respect to GPS PWV.

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“…This is primarily due to the two monsoons that cause a change in precipitation which are known as the southwest (SW) monsoon and from late May to September and the northeast (NE) monsoon from November to March. The western Philippines has a clear summer monsoonal rainfall regime with low rainfall from late November to April and peak rainfall from mid-June to mid-September [21].…”

Section: Methodsmentioning

confidence: 99%

Multi-year Precipitable Water Vapor Observations in East Manila, Philippines using Radiosonde and Global Navigation Satellite System

Domingo

Macalalad

2020

E3S Web Conf.

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Precipitable water vapor (PWV) is a parameter that used to describe the water vapor content in the atmosphere has the potential to become a precipitation. Thus, it is important to measure PWV and investigate its trends and variability for potential forecasting precipitation. This study presents the variation of PWV at Tanay Upper Station (14°34’52.8”N, 121°22’08.9”E) from radiosonde operated by the Philippine Atmospheric, Geophysical and Astronomical Services Administration and at PIMO station (14°38’08.5”N, 121°04’39.4”E) using Global Navigation Satellite System (GNSS) operated by NASAJet Propulsion Laboratory under the International GNSS Service (IGS) network from 2015-2017. Moreover, there is no significant difference (p-values < 0.05) among PWV radiosonde, GNSS-PWV and rainfall as a function of year of observation. Monthly mean variation conforms to the Coronas climate classification, Climate Type I, in terms of the amount of precipitation. It is shown that PWV is high during wet months and least during dry months (November to April). Further, monthly mean variation is moderate correlated with surface temperature from radiosonde (R = +0.589). Evaporation rate depends on the surface temperature, which contributes in forming water vapor. The results showed that PWV from radiosonde gave reasonable values to be considered during wet and dry season as well as the seasonal variation of rainfall.

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Analysis on Characteristics of Radiosonde Bias Using GPS Precipitable Water Vapor

Cited by 9 publications

References 20 publications

Real-Time GNSS-Derived PWV for Typhoon Characterizations: A Case Study for Super Typhoon Mangkhut in Hong Kong

Real-Time GNSS-Derived PWV for Typhoon Characterizations: A Case Study for Super Typhoon Mangkhut in Hong Kong

Comparison of the Characteristics of Precipitable Water Vapor Measured by Global Positioning System and Microwave Radiometer

Multi-year Precipitable Water Vapor Observations in East Manila, Philippines using Radiosonde and Global Navigation Satellite System

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