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首页> 外文期刊>Journal of atmospheric and solar-terrestrial physics >Water vapor study using MODIS and GPS data at 64 continuous GPS stations (2002-2017) in indian subcontinent
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Water vapor study using MODIS and GPS data at 64 continuous GPS stations (2002-2017) in indian subcontinent

机译:在印度次大陆的64个连续GPS站(2002-2017)时使用MODIS和GPS数据进行水蒸气研究

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摘要

Precipitable Water Vapor (PWV) is estimated using MODIS (Moderate Resolution Imaging Spectro-radio-meter) Terra level 3 data with daily resolution i. e MOD08_D3 at 64 cGPS (continuous Global Positioning System) stations spatially spread over Indian subcontinent between geodetic latitude 5 degrees to 35 degrees N and geodetic longitude of 70 degrees to 96 degrees E. MODIS-PWV is compared with GPS-PWV estimated at these cGPS stations to check the validity of water vapor retrieved from MODIS data in Indian subcontinent. Correlation coefficient (R-2) between daily values of MODIS and GPS water vapor is above 0.9 with RMSE (root mean square error) of 2-5 mm for 22 cGPS in peninsular India, above 0.9 with RMSE of 3-6 mm for 5 cGPS in northeast India and above 0.8 with RMSE of 1-9 mm for 26 cGPS in Himalayas. PWV time series at all the cGPS stations indicated distinct seasonal cycle for both MODIS and GPS PWV with high RMSE (similar to 6 nun) in wet months and low RMSE (similar to 3 mm) during dry months. Taking advantage of broad spatial spread of stations and long span of data, model for spatial variability of GPS-PWV for Indian subcontinent is proposed. Inter-annual and seasonal variability of GPS-PWV is discussed in detail for peninsular India, northeast India and Himalayas.
机译:使用MODIS(适度分辨率成像光谱-rower)Terra等级3数据估计可降水水蒸气(PWV),每日分辨率i。 E Mod08_D3在64个CGPS(连续全球定位系统)站在地理位置纬度5度到35度N和70度之间的印度次大陆的站点划分为70度至96度E. Modis-PWV与这些CGPS的GPS-PWV进行了比较检查在印度次大陆的MODIS数据中检索水蒸气的有效性。 Modis和GPS水蒸气日的每日值之间的相关系数(R-2)高于0.9,RMSE(均方误差)2-5mm的半岛印度,高于0.9,RMSE为3-6 mm在东北印度的CGPS高于0.8,在喜马拉雅山的26个CGPS的RMSE为1-9毫米。在所有CGPS站的PWV时间序列表明,在干燥的月份,潮湿的月份和低RMSE(类似于6个NUN)和低RMSE(类似于3毫米)的GPS PWV都表明了不同的季节循环。提出了利用电台的广泛空间传播和长期的数据,印度次大陆GPS-PWV的空间变异模型。对于半岛印度,东北印度和喜马拉雅山脉,详细讨论了GPS-PWV的年度和季节变异性。

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