CAJ | 학술논문

利用成都地区5个测站地基GPS2007年9月-2008年2月的观测数据,解算出1 min间隔的天顶总延迟,结合自动气象站资料计算出30 min间隔的大气可降水量(GPS-PWV).对月平均的GPS-PWV分析表明:秋、冬季变化趋势从9月开始下降,1月达到最小值,2月又逐渐上升.在大气环流相同的情况下,地理位置相近的站,海拔高的地区大气中的水汽量比海拔低的地区要少,且变化较大;海拔高度相近的站,大气中的水汽含量由南向北减少.日合成分析显示:在静稳天气下,日变化特征显著,具有双峰型特征:白天峰值与气温的最大值相对应;夜间峰值与降水量的峰值相对应;GPS-PWV与地面空气相对湿度白天呈负相关,夜间呈正相关.
이용성도지구5개측참지기GPS2007년9월-2008년2월적관측수거,해산출1 min간격적천정총연지,결합자동기상참자료계산출30 min간격적대기가강수량(GPS-PWV).대월평균적GPS-PWV분석표명:추、동계변화추세종9월개시하강,1월체도최소치,2월우축점상승.재대기배류상동적정황하,지리위치상근적참,해발고적지구대기중적수기량비해발저적지구요소,차변화교대;해발고도상근적참,대기중적수기함량유남향북감소.일합성분석현시:재정은천기하,일변화특정현저,구유쌍봉형특정:백천봉치여기온적최대치상대응;야간봉치여강수량적봉치상대응;GPS-PWV여지면공기상대습도백천정부상관,야간정정상관.
The estimates of total zenith delay are available based on GPS data per 1min from the ground-based GPS network in Chengdu plain during the period of September 2007 to February 2008. The estimates of every 30 min precipitable water vapor (PWV) derived from GPS are obtained by combining meteorological data from automatic weather stations. By analyzing monthly GPS-PWV of five stations in Chengdu plain it shows that the monthly GPS-PWV ascend after first descending, namely it starts to descend from September, to reach minimum in January, then to ascend in February. While the stations are close and in the same circulation, the monthly value of GPS-PWV with high altitude is lower than the low altitude; the variation of GPS-PWV is more evident at the high altitude. When the altitude is similar, GPS-PWV reduces from south to north. The diurnal variations of GPS-PWV and some surface meteorological elements are composite during the cold season at Chengdu station. The feature of diurnal variation of GPS-PWV at Chengdu station is obvious: it is a bimodal curve. The peak value of GPS-PWV in the daytime is corresponding to the maximum value of temperature and it is relative to the peak of precipitation in the night. Though the relationship between GPS-PWV and relative humidity of surface atmosphere in the daytime is negative correlation, it is positive correlation in the night.