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Articles

Retrieval and application of high-resolution low-level visible winds from INSAT-3DR imager

ORCID Icon, , &
Pages 4726-4741 | Received 26 Feb 2019, Accepted 30 Oct 2019, Published online: 01 Mar 2020
 

ABSTRACT

Atmospheric motion vectors (AMVs) are estimated by selecting and tracking the cloud and water vapour features from geostationary satellite images. Satellite-derived AMVs are extremely helpful in understanding synoptic-scale atmospheric dynamics, circulations, and also potential input parameters of the numerical weather prediction (NWP) models. In India, till now, operational derivation of low-level visible (VIS) AMVs are retrieved using a coarser spatial resolution (4 km) images from INSAT-3D and INSAT-3DR satellites. In this study, high-resolution (HR) low-level visible AMVs are derived from INSAT-3DR HR (1 km) images. The operational VIS AMVs retrieval technique, with some fine-tuning in the algorithm for the use of HR images, is followed for HR VIS wind derivation. The accuracy of the new HR VIS winds is improved significantly compared with corresponding coarser resolution operational VIS winds against numerical model analysed winds. The statistical comparison has been carried out by calculating root mean square vector difference (RMSVD), speed bias, and percentage improvement. These newly retrieved high- and operationally available coarse-resolution VIS winds are further assimilated in the numerical model to assess their impact on short-range weather forecast during 1 to 15 July 2017. Assimilation of HR VIS winds has improved the forecast, especially at upper levels.

Acknowledgements

The authors thank anonymous reviewers for critical and insightful comments/valuable suggestions, which were helpful in substantially improving the content and quality of presentation of this manuscript. The authors are thankful to the Director, Space Applications Centre (SAC), Indian Space Research Organization, Deputy Director Earth Ocean Atmosphere and Planetary Sciences Applications Area (EPSA), SAC/ISRO and Division Head, Atmospheric Sciences Division (ASD), EPSA/SAC/ISRO ASD for their encouragement. The authors would like to thank National Centers for Environmental Prediction (NCEP) for providing GFS Model forecast data and National Centre for Medium-Range Weather Forecast (NCMRWF) for providing NCMRWF analysis/forecast wind data. The INSAT-3DR data and operational INSAT-3DR VIS AMVs were sourced from MOSDAC (https://mosdac.gov.in).

Disclosure statement

No potential conflict of interest was reported by the authors.

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