Inter-comparison of retrievals of Integrated Precipitable Water Vapour IPWV) made by INSAT-3DR satellite-borne Infrared Radiometer Sounding and CAMS reanalysis data with ground-based Indian GNSS data

Ramashray Yadav, R. Giri, V. Singh
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Abstract

Abstract. The spatiotemporal variations of integrated precipitable water vapor (IPWV) are very important to understand the regional variability of water vapour. Traditional in-situ measurements of IPWV in Indian region are limited and therefore the performance of satellite and Copernicus Atmosphere Meteorological Service (CAMS) retrievals with Indian Global Navigation Satellite System (GNSS) taking as reference has been analyzed. In this study the CAMS reanalysis retrieval one year (2018), Indian GNSS and INSAT-3DR sounder retrievals data for one & half years (January-2017 to June-2018) has been utilized and computed statistics. It is noticed that seasonal correlation coefficient (CC) values between INSAT-3DR and Indian GNSS data mainly lie within the range of 0.50 to 0.98 for all the selected 19 stations except Thiruvanathpuram (0.1), Kanyakumari (0.31), Karaikal (0.15) during monsoon and Panjim (0.2) during post monsoon season respectively. The seasonal CC values between CAMS and INSAT-3DR IPWV are ranges 0.73 to .99 except Jaipur (0.16) & Bhubneshwar (0.29) during pre-monsoon season, Panjim (0.38) during monsoon, Nagpur (0.50) during post-monsoon and Dibrugarh (0.49) Jaipur (0.58) & Bhubneshwar (0.16) during winter season respectively .The root mean square error (RMSE) values are higher under the wet conditions (Pre Monsoon & Monsoon season) than under dry conditions (Post Monsoon & Winter season) and found differences in magnitude and sign of bias of INSAT-3DR, CAMS with respect to GNSS IPWV from station to station and season to season. This study will help to improve understanding and utilization of CASMS and INSAT-3DR data more effectively along with GNSS data over land, coastal and desert locations in term of seasonal flow of IPWV which is an essential integrated variable in forecasting applications.
INSAT-3DR星载红外辐射计探测和CAMS再分析数据反演综合可降水量IPWV与印度地面GNSS数据的比对
摘要综合可降水量(IPWV)的时空变化对认识水汽的区域变率具有重要意义。针对印度地区传统的IPWV原位测量的局限性,分析了以印度全球导航卫星系统(GNSS)为参照,卫星和CAMS反演IPWV的性能。本研究利用CAMS再分析检索一年(2018年)、印度GNSS和INSAT-3DR测深仪检索一年半(2017年1月至2018年6月)的数据进行统计计算。结果表明,除Thiruvanathpuram(0.1)、Kanyakumari(0.31)、Karaikal(0.15)和Panjim(0.2)外,所选19个站点INSAT-3DR与印度GNSS数据的季节相关系数(CC)值主要在0.50 ~ 0.98之间。CAMS和INSAT-3DR IPWV之间的季节CC值在0.73 ~ 0.99之间,除了斋浦尔(0.16)和布布内什瓦尔(0.29)在季风季节,潘吉姆(0.38)在季风季节。雨季后的那格浦尔(0.50)和冬季的迪布鲁加尔(0.49)、斋浦尔(0.58)和布布内什瓦尔(0.16)。雨季条件下(季风前和季风季节)的均方根误差(RMSE)值高于干旱条件下(季风后和冬季)的均方根误差(RMSE)值,并发现INSAT-3DR、CAMS相对于GNSS IPWV在不同站点和季节之间的大小和偏差迹象存在差异。该研究将有助于更有效地了解和利用CASMS和INSAT-3DR数据以及陆地、沿海和沙漠位置的GNSS数据,以了解IPWV的季节性流动,IPWV是预测应用中必不可少的综合变量。
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