Intercomparison review of IPWV retrieved from INSAT-3DR sounder, GNSS and CAMS reanalysis data
<p>The spatiotemporal variations of integrated precipitable water vapor (IPWV) are very important in understanding the regional variability of water vapor. Traditional in situ measurements of IPWV in the Indian region are limited, and therefore the performance of satellite and Copernicus Atmos...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2021-07-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/14/4857/2021/amt-14-4857-2021.pdf |
| Summary: | <p>The spatiotemporal variations of integrated precipitable water vapor (IPWV)
are very important in understanding the regional variability of water vapor.
Traditional in situ measurements of IPWV in the Indian region are limited, and
therefore the performance of satellite and Copernicus Atmosphere
Meteorological Service (CAMS) retrievals with the Indian Global Navigation
Satellite System (GNSS) as reference were analyzed. In this study
the CAMS reanalysis data of 1 year (2018) and the Indian GNSS and INSAT-3DR sounder
retrieval data for 1.5 years (January 2017 to June 2018) were
utilized, and statistics were computed. 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
Thiruvananthapuram (0.1), Kanyakumari (0.31) and Karaikal (0.15) during the monsoon season
and Panjim (0.2) during the post-monsoon season. The seasonal CC values between CAMS and GNSS IPWV range from 0.73 to .99 except for Jaipur
(0.16) and Bhubaneswar (0.29) during the pre-monsoon season, Panjim (0.38)
during the monsoon season, Nagpur (0.50) during the post-monsoon season, and Dibrugarh (0.49)
Jaipur (0.58) and Bhubaneswar (0.16) during the winter season. The
root mean square error (RMSE) values are higher under the wet conditions
(pre-monsoon and monsoon season) than under dry conditions (post-monsoon
and winter season), and we found differences in magnitude and sign of bias for
INSAT-3DR and CAMS with respect to GNSS IPWV from station to station and season
to season.</p>
<p>This study will help to improve understanding and utilization of CAMS and
INSAT-3DR data more effectively along with GNSS data over land, coastal and
desert locations in terms of the seasonal flow of IPWV, which is an essential
integrated variable in forecasting applications.</p> |
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| ISSN: | 1867-1381 1867-8548 |