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Mitra, A. K.
- Identification of Weather Events from INSAT-3D RGB Scheme using RAPID Tool
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PDF Views:82
Authors
Affiliations
1 National Satellite Meteorological Centre, India Meteorological Department, New Delhi 110 003, IN
2 Banaras Hindu University, Varanasi 221 005, IN
1 National Satellite Meteorological Centre, India Meteorological Department, New Delhi 110 003, IN
2 Banaras Hindu University, Varanasi 221 005, IN
Source
Current Science, Vol 115, No 7 (2018), Pagination: 1358-1366Abstract
Real-time analysis of products and information dissemination (RAPID), a web-based quick visualization and analysis tool for INSAT satellite data has been presented for identification of weather events. The combination of channels using red-green-blue (RGB) composites of INSAT-3D satellite and its physical significant value content is presented. The solar reflectance and brightness temperatures are the major components of this scheme. The shortwave thermal infrared (1.6 μm), visible (0.5 μm) and thermal IR channels (10.8 μm) representing cloud microstructure is known as Day Microphysics (DMP) and the brightness temperature (BT) differences between 10.8, 12.0 and 3.9 μm is referred to as Night Microphysics (NMP). The thresholds technique have been developed separately for both the RGB products of two years (2015-17 of December to February) of data for the identification of fog, snow and low clouds. The validation of these thresholds has been carried out against in situ visibility data from IMD observatories. The RGBs, i.e. DMP and NMP have a reasonable good agreement with ground-based observations and Moderate Resolution Imaging Spectroradiometer (MODIS) data. This threshold technique yields a very good probability of fog detection more than 94% and 85% with acceptable false alarm conditions less than 8% and 10% for DMP and NMP respectively. The technique has significantly minimized the misclassification between low clouds, snow, and fog and found useful for day-to-day weather forecast.Keywords
INSAT-3D, RAPID, DMP, NMP, RGB.References
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- INSAT-3DR-Rapid Scan Operations for Weather Monitoring Over India
Abstract Views :272 |
PDF Views:99
Authors
M. Mohapatra
1,
A. K. Mitra
1,
Virendra Singh
1,
S. K. Mukherjee
1,
Kavita Navria
2,
Vikram Prashar
1,
Ashish Tyagi
1,
Atul Kumar Verma
1,
Sunitha Devi
1,
V. S. Prasad
3,
Mudumba Ramesh
4,
Raj Kumar
5
Affiliations
1 National Meteorological Satellite Centre, India Meteorological Department, New Delhi 110 003, IN
2 National Meteorological Satellite Centre, India Meteorological Department, New Delhi 110 003ii
3 National Centre for Medium Range Weather Forecasting, Noida 201 309, IN
4 Master Control Facility, Indian Space Research Organisation, Hassan 573 201, IN
5 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
1 National Meteorological Satellite Centre, India Meteorological Department, New Delhi 110 003, IN
2 National Meteorological Satellite Centre, India Meteorological Department, New Delhi 110 003ii
3 National Centre for Medium Range Weather Forecasting, Noida 201 309, IN
4 Master Control Facility, Indian Space Research Organisation, Hassan 573 201, IN
5 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
Source
Current Science, Vol 120, No 6 (2021), Pagination: 1026-1034Abstract
In order to observe severe weather conditions during cyclones, thunderstorms, etc., IMAGER instruments on-board INSAT3D/3DR have been built with a flexible scanning feature known as ‘rapid scan mode’. Using this feature, the number of scan lines over a given coverage region and the number of repetitions of the selected region can be programmed for scanning. Therefore, to understand the physical processes involved in convective clouds associated with severe weather phenomena, rapid scan of INSAT3DR mode is attempted. It has very high temporal resolution of approximately 4 min and 30 sec. The present study will help in better understanding of the physical processes of severe weather phenomena and in nowcasting. It will also help to improve the accuracy in the NWP model forecast through assimilation of radiances and atmospheric motion wind determined using rapid scan mode.Keywords
Nowcasting, Physical Processes, Rapid Scan Operations, Severe Weather Conditions, Weather Monitoring.References
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