Article Type:
Research Article

Estimation of Atmospheric Motion Vectors from Kalpana-1 Imagers

C. M. Kishtawal Atmospheric Sciences Division, Meteorology and Oceanography Group, Remote Sensing Applications Area, Space Applications Centre, ISRO, Ahmedabad, India

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S. K. Deb Atmospheric Sciences Division, Meteorology and Oceanography Group, Remote Sensing Applications Area, Space Applications Centre, ISRO, Ahmedabad, India

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P. K. Pal Atmospheric Sciences Division, Meteorology and Oceanography Group, Remote Sensing Applications Area, Space Applications Centre, ISRO, Ahmedabad, India

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P. C. Joshi Atmospheric Sciences Division, Meteorology and Oceanography Group, Remote Sensing Applications Area, Space Applications Centre, ISRO, Ahmedabad, India

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Print Publication:
01 Nov 2009
DOI:
https://doi.org/10.1175/2009JAMC2159.1
Page(s):
2410–2421
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Abstract

The estimation of atmospheric motion vectors from infrared and water vapor channels on the geostationary operational Indian National Satellite System Kalpana-1 has been attempted here. An empirical height assignment technique based on a genetic algorithm is used to determine the height of cloud and water vapor tracers. The cloud-motion-vector (CMV) winds at high and midlevels and water vapor winds (WVW) derived from Kalpana-1 show a very close resemblance to the corresponding Meteosat-7 winds derived at the European Organisation for the Exploitation of Meteorological Satellites when both are compared separately with radiosonde data. The 3-month mean vector difference (MVD) of high- and midlevel CMV and WVW winds derived from Kalpana-1 is very close to that of Meteosat-7 winds, when both are compared with radiosonde. When comparing with radiosonde, the low-level CMVs from Kalpana-1 have a higher MVD value than that of Meteosat-7. This may be due to the difference in spatial resolutions of Kalpana-1 and Meteosat-7.

Corresponding author address: Dr. S. K. Deb, Atmospheric Sciences Division, Meteorology and Oceanography Group, Remote Sensing Applications Area, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380015, India. Email: sanjib_deb@rediffmail.com

Abstract

The estimation of atmospheric motion vectors from infrared and water vapor channels on the geostationary operational Indian National Satellite System Kalpana-1 has been attempted here. An empirical height assignment technique based on a genetic algorithm is used to determine the height of cloud and water vapor tracers. The cloud-motion-vector (CMV) winds at high and midlevels and water vapor winds (WVW) derived from Kalpana-1 show a very close resemblance to the corresponding Meteosat-7 winds derived at the European Organisation for the Exploitation of Meteorological Satellites when both are compared separately with radiosonde data. The 3-month mean vector difference (MVD) of high- and midlevel CMV and WVW winds derived from Kalpana-1 is very close to that of Meteosat-7 winds, when both are compared with radiosonde. When comparing with radiosonde, the low-level CMVs from Kalpana-1 have a higher MVD value than that of Meteosat-7. This may be due to the difference in spatial resolutions of Kalpana-1 and Meteosat-7.

Corresponding author address: Dr. S. K. Deb, Atmospheric Sciences Division, Meteorology and Oceanography Group, Remote Sensing Applications Area, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380015, India. Email: sanjib_deb@rediffmail.com

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