• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1635-1639
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• 2010

기후변화가 수자원에 미치는 영향을 파악하기 위해서는 물 순환 및 물 수지의 변화 경향 파악이 필수적이며, 대기 중의 가강수량 파악은 가뭄 호우 등에 대한 기본 조사로서 수자원 연구에 필요하다. 본 연구에서는 MODIS 위성자료로부터 가강수량을 산출하여 검증하고, 전구 및 동아시아의 분포 특성 및 변화 경향을 분석하였다. MODIS 위성자료는 NASA의 홈페이지로부터 입수하여 가강수량을 산출하였고, 산출한 가강수량은 NCEP Reanalysis2 자료를 이용하여 검증하였다. MODIS 위성자료를 이용하여 전구 가강수량의 경년변화 및 분포 분석을 실시한 결과 가강수량의 분포는 ITCZ의 움직임과 잘 일치하였고, 6월에 가장 많은 가강수량을 나타내며 10월에 가장 적은 가강수량을 나타냈다. 경년변화는 2000년대 중반까지는 증가하는 경향을 보이고 있었지만 최근 3년 정도는 감소하는 추세를 보이고 있다. MODIS 위성자료를 이용하여 동아시아 지역 가강수량의 경년변화 및 분포 분석을 실시한 결과 가강수량의 분포는 계절적인 특징을 잘 나타내고 있으며, 7월에 가장 많은 가강수량을 나타내고 있으며 11월에 가장 적은 가강수량을 나타내고 있고, 경년변화는 큰 변화는 보이지 않았다. MODIS 위성으로부터 산출한 가강수량과 표면온도를 비교한 결과 가강수량은 계절적인 특징은 거의 비슷한 변화를 가지고 있으며 년 변화에서는 동아시아 가을의 변화가 통계적으로 유의한 양의 상관관계를 가지고 있었으며, 동아시아 가을의 가강수량은 표면온도와 함께 증가하는 경향을 나타내고 있다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.6
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• pp.471-484
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• 2017

GNSS PWV (Precipitable Water Vapor) is recognized as an important factor for weather forecasts of typhoons and heavy rainfall. Domestic and foreign research have been published that improve weather forecasts using GNSS PWV as initial input data to NWP (Numerical Weather Prediction) model. For rainfall-related weather forecasts, PWV should be provided in real time or NRT (Near-Real Time) and the accuracy and integrity should be maintained. In this paper, the development process of NRT GNSS PWV system using PPP (Precise Point Positioning). To this end, we optimized the variables related to tropospheric delay estimation of PPP. For the analysis of the PPP NRT PWV system, we compared the PWV precision of RP (Relative Positioning) and PPP. As a result, the accuracy of PPP was lower than that of RP, but good results were obtained in the PWV data integrity. Future research is needed to improve the precision of PWV in the PPP method.

• Bulletin of the Korean Space Science Society
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• 2009.10a
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• pp.41.3-41.3
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• 2009

우주측지 정밀도 향상을 위해 대류층 지연오차의 정확한 산출은 필수적이다. 한국천문연구원은 GPS 자료를 이용하여 대류층 지연오차 요인인 대기 중의 수증기량을 정확히 산출하는 연구를 수행하고 있다. 또한, 1999년부터 GPS 관측을 시작한 이래로 10년 이상의 연속 관측자료를 보유하고 있다. 이 연구에서는2000년부터 2008년까지 한국천문연구원의 GPS 상시관측소 5곳(서울, 대전, 목포, 밀양, 속초)의 GPS 가강수량을 산출하고 이들의 다년간 변화경향을 분석하였다. 산출된 GPS 가강수량을 라디오존데 관측값과 비교하여 신뢰도 검증하였다. 선형회귀방법을 통하여 GPS 가강수량에 대한 경향을 분석하면 관측 지역마다 기울기의 차는 있으나 전체적으로 시간이 지날수록 GPS 가강수량이 증가하는 경향을 보였다. 해당 기간동안 GPS 가강수량의 연간 변화량은 평균 0.20mm 증가하였고 목포의 경우 0.25mm로 가장 큰 변화량을 보였으며 서울이 0.16mm로 가장 작은 변화량을 보였다. 여름철 연간 변화량은 평균 0.32mm 증가하였고 겨울철은 평균 0.08mm 감소하였다. 일반적으로 기온이 상승하면 상대습도가 내려가 수증기의 증발이 활발해져 대기중의 수증기량이 증가한다. 최근 10년간 기상청의 기온은 매해 평균 $0.16^{\circ}C$씩 증가하였으며 대기 중의 수증기량과 직접적으로 연관되어 있는 GPS 가강수량의 변화 경향과 유사함을 확인하였다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.1
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• pp.97-104
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• 2012

In this paper, the GPS precipitable water vapor was retrieved by estimating of GPS signal delay in the troposphere during the progress of heavy snowfall on the Gangwon Province, 2011. For this period, the time series analysis between GPS precipitable water vapor and fresh snow depth was accomplished. The time series and the comparison with the GPS precipitable water vapor and the fresh snow depth indicates that the temporal change of two variations is closely related to the progress of the heavy snowfall. Also, the periodicity of GPS precipitable water vapor using the wavelet transform method was showed a similar cycle of saturated water vapor pressure as the limitation of this study span. The result shows that the decrement of GPS precipitable water vapor was conflicted with the increment of fresh snow depth at two sites, Gangneung and Uljin. The correlation between the GPS precipitable water vapor and the saturated water vapor pressure for the event was showed a positive correlation, compare with the non-heavy snowfall periods.

• Bulletin of the Korean Space Science Society
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• 2010.04a
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• pp.36.3-36.3
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• 2010

대기 수증기량의 정확한 추정은 우주측지 정밀도 향상에 필수적이다. 대류층 지연오차의 주요 원인인 대기 수증기량을 추정하는 대표적인 시스템으로는 라디오존데, 라디오미터, GPS 등이 있다. 한국천문연구원은 GPS 가강수량의 상시 비교검증을 위해 2009년 7월부터 라디오미터를 도입하여 비교관측을 수행하고 있다. 라디오미터는 대기복사의 밝기온도를 측정하여 가강수량을 산출하는 시스템으로써, 24시간 연속관측이 가능하고 실시간으로 관측결과를 확인할 수 있으나, 강수시 불안정하다. 2009년 7월부터 최근까지 GPS와 라디오미터 가강수량 결과간 비교로부터 0.1mm, 1.8mm의 편향과 표준편차, 0.98의 상관관계계수를 산출하였다. 현재 두 시스템의 가강수량을 10분 간격으로 비교하고 있으며, 그 결과를 웹으로 표출하는 시스템을 구축하여 운영하고 있다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6D
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• pp.1033-1041
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• 2006

In this study, we calculated a space-time variation of GPS precipitable water vapor using GPS meteorology technique during a progress of the typhoon EWINIAR had made an effect on Korean peninsular at 10 July, 2006. We estimated tropospheric dry delay and wet delay for one hourly using 22 GPS permanent stations and precipitable water vapor was conversed by using surface meteorological data. The Korean weighted mean temperature and air-pressure of versa-reduction to the mean sea level have been used for an accuracy improvement of GPS precipitable water vapor estimation. Finally, we compared MTSAT water vapor image, radar image and precipitable water vapor map during a passage of the typhoon EWINIAR.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.93-102
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• 2019

In this study, in order to analyze the possibility of observing a typhoon track based on the Global Navigation Satellite System(GNSS), Typhoon NARI, the 11th typhoon of 2007, was analyzed in terms of the typhoon track as well as the local variation of perceptible water over time. The perceptible water was estimated using data obtained from observatories located on the typhoon track from Jeju to the southern coast of Korea for a total of 18 days from September 7(DOY 250) to September 24(DOY 267), 2007, including the period when the observatories were affected by the typhoon at full-scale, as well as one previous week and one following week. The results show that the trend of the variation of perceptible water was similar between the observatories near the typhoon track. Variation of perceptible water over time depending on the development and landing of the typhoon was distinctively observed. Several hours after the daily maximum of perceptible water was found at the JEJU Observatory, the first struck by the typhoon on the typhoon track, the maximum value was found at other observatories located on the southern coast. In the observation period, the time point at which the maximum perceptible water was recorded in each location was almost the same as the time point at which the typhoon landed at the location. To analyze the accuracy of the GNSS-based perceptible water measurement, the data were compared with radiosonde-based perceptible water data. The mean error was 0.0cm, and the root mean square error and the standard deviation were both 0.3cm, indicating that the GNSS-based perceptible water data were highly accurate and precise. The results of the this study show that the GNSS-based perceptible water data may be used as highly accurate information for the analysis of typhoon tracks over time.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.4
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• pp.233-242
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• 2019

ZHD (Zenith Hydrostatic Delay) model is important parameter in estimating of GNSS (Global Navigation Satellite System) PWV (Precipitable Water Vapor) along with weighted mean temperature. The ZWD (Zenith Wet Delay) is tend to accumulate the ZHD error, so that biases from ZHD will be affected on the precision of GNSS PWV. In this paper, we compared the accuracy of GNSS PWV with radiosonde PWV using three ZHD models, such as Saastamoinen, Hopfield, and Black. Also, we adopted the KWMT (Korean Weighted Mean Temperature) model and the mean temperature which was observed by radiosonde on the retrieval processing of GNSS PWV. To this end, GNSS observation data during one year were processed to produce PWVs from a total of 5 GNSS permanent stations in Korea, and the GNSS PWVs were compared with radiosonde PWVs for the evaluating of biases. The PWV biases using mean temperature estimated by the KWMT model are smaller than radiosonde mean temperature. Also, we could confirm the result that the Saastamoinen ZHD which is most used in the GNSS meteorology is not valid in South Korea, because it cannot be exclude the possibility of biases by latitude or height of GNSS station.

• Journal of Astronomy and Space Sciences
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• v.26 no.4
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• pp.547-554
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• 2009

The Atmospheric Infrared Sounder (AIRS) aboard the Aqua satellite, which is one of the Earth Observing System satellites managed by National Aeronautics and Space Administration, provides global measurements of the water vapor in the atmosphere using infrared (IR) channels. In this paper, we restored precipitable water vapor (PWV) over a permanent GPS station in Incheon using the IR measurements of AIRS and compared the result with GPS-based PWV estimates. As a result, AIRS PWV had similar trends with GPS PWV; the bias of AIRS PWV against GPS PWV is 0.3 cm and root mean square error (RMSE) 0.7 cm. In addition, the correlation coefficient between AIRS PWV and GPS PWV was 0.89. Thus we conclude that the AIRS PWV reflects local characteristics of the water vapor content.

• Journal of Astronomy and Space Sciences
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• v.26 no.4
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• pp.555-566
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• 2009

Precipitable water vapor (PWV) derived from a numerical weather prediction (NWP) model were compared to observations derived from ground-based Global Positioning System (GPS) receivers. The model data compared were from the Weather Research and Forecasting (WRF) model short-range forecasts on nested grids. The numerical experimets were performed by selecting the cloud microphysics schemes and for the comparisons, the Changma period of 2008 was selected. The observational data were derived from GPS measurements at 9-sites in South Korea over a 1-month period, in the middle of June-July 2008. In general, the WRF model demonstrated considerable skill in reproducing the temporal and spatial evolution of the PWV as depicted by the GPS estimations. The correlation between forecasts and GPS estimates of PWV depreciated slowly with increasing forecast times. Comparing simulations with a resolution of 18 km and 6 km showed no obvious PWV dependence on resolution. Besides, GPS and the model PWV data were found to be in quite good agreement with data derived from radiosondes. These results indicated that the GPS-derived PWV data, with high temporal and spatial resolution, are very useful for meteorological applications.