India Meteorological Department is receiving and archiving satellite meteorological data from insat series since 1982

India Meteorological Department is receiving and archiving satellite meteorological data from INSAT series since 1982.

• India Meteorological Department is receiving and archiving satellite meteorological data from INSAT series since 1982.

• Data is already archived on DLTs and resolutions of these data are 2.75 km/2km in visible, 11km/8km in infrared channels for INSAT-1/INSAT-2 series respectively.

• The normalized calibration technique is attempted in order to re-calibrate the Kalpana-1 Infrared data and remove the effect of the temporal non-linearity of sensor response due to degradation of the sensor based on ISCCP (International satellite cloud climatology project) procedure over the Indian Ocean.

• Table- KALPANA-1 Satellite Specification

Study Covers the months MAY, JUNE, JULY, OCTOBER, NOVEMBER and DECEMBER of 2009.

• Study Covers the months MAY, JUNE, JULY, OCTOBER, NOVEMBER and DECEMBER of 2009.

• Taking 8-10 passes of NOAA of each month.

• Four automated steps to satellite Inter-calibration ::

• Data collection:

• Study period: MAY, JUNE, JULY, OCTOBER, NOVEMBER, DECEMBER 2009.

• Study region: ± 10º NS latitude of the equator; 64º-84º longitude east

• Primary data for inter-calibration :: kalpana-1 Geostationary satellite VHRR Infrared brightness temperatures
• Polar Orbiting Satellite used :: NOAA-19 AVHRR channel-4 brightness temperatures, data accessed through INCOIS, Hyderabad and its collection based on
• currently operational satellite series
• status of imager AVHRR
• ISCCP survey on data availability

The impact of spectral differences between the IR win channels is important to consider when comparing brightness temperatures to those from AVHRR.

• The impact of spectral differences between the IR win channels is important to consider when comparing brightness temperatures to those from AVHRR.
• a) b)

• Fig a) Shows the spectral response function of NOAA-AVHRR channel-4 and b) Kalpana-1 Infrared respectively.

• Study area of interest :
• The strategy is to find the measurements by the polar orbiting satellite that are concurrent and collocated with those from a geostationary satellite.
• The near-simultaneous nadir observations with homogeneous scenes from NOAA and Kalpana-1 imagers are spatially collocated.

Domain of the earth for the study ::: ±10º NS latitude of the equator, 64º- 84º longitude east

• Domain of the earth for the study ::: ±10º NS latitude of the equator, 64º- 84º longitude east
• Time differences between observations should
• be less than 30min.
• Collocation Criteria ::
• Study Region selected for inter-calibration
• process
• .

Scatterplot of Kalpana-1infrared brightness temperatures versus NOAA AVHRR channel-4 brightness temperatures for whole defined region;

• Scatterplot of Kalpana-1infrared brightness temperatures versus NOAA AVHRR channel-4 brightness temperatures for whole defined region;

• MAY JUNE

• JULY OCTOBER

• NOVEMBER DECEMBER

Scatterplot Kalpana-1 infrared brightness temperatures versus NOAA AVHRR channel-4 brightness temperatures for CLOUDY REGION [ for those brightness temperatures of Kalpana-1 Infrared less than 273.15 K ] ;

• Scatterplot Kalpana-1 infrared brightness temperatures versus NOAA AVHRR channel-4 brightness temperatures for CLOUDY REGION [ for those brightness temperatures of Kalpana-1 Infrared less than 273.15 K ] ;

• MAY JUNE

• JULY OCTOBER

• NOVEMBER DECEMBER

Scatterplot Kalpana-1infrared brightness temperatures versus NOAA AVHRR channel-4 brightness temperatures for CLEAR SKY [ for those brightness temperatures of Kalpana-1 Infrared greater than 273.15 K ] ;

• Scatterplot Kalpana-1infrared brightness temperatures versus NOAA AVHRR channel-4 brightness temperatures for CLEAR SKY [ for those brightness temperatures of Kalpana-1 Infrared greater than 273.15 K ] ;

• MAY JUNE

• JULY OCTOBER

• NOVEMBER DECEMBER

1.Inter-calibration of passive INSAT imager observations from time-series of geostationary satellites (IOGEO)

• 1.Inter-calibration of passive INSAT imager observations from time-series of geostationary satellites (IOGEO)

• 2.IMD has become part of the SCM-06 IOGEO project team.

Area : 60E to 90E

• Area : 60E to 90E

• -10S to 50N

• Time Difference: 10 minute

• Crieria: Co-located

• Observations/Passes: 0600 to 0900 UTC

From the above drawn analysis we can conclude that INSAT 3D channels ( MIR and TIR1 Channel) predicts the brightness temperature colder as compared to NOAA/ METOP channels. In addition, INSAT 3D TIR1 channel has an average of 2.5K BIAS in the month of FEB 2015 as compared to NOAA / METOP in the passes from 0600UTC to 0900UTC.

• From the above drawn analysis we can conclude that INSAT 3D channels ( MIR and TIR1 Channel) predicts the brightness temperature colder as compared to NOAA/ METOP channels. In addition, INSAT 3D TIR1 channel has an average of 2.5K BIAS in the month of FEB 2015 as compared to NOAA / METOP in the passes from 0600UTC to 0900UTC.

• The brightness temperatures of MIR channels of INSAT 3D and NOAA /METOP satellites for the passes from 0600UTC to 0900UTC in the month of FEB2015 gives an average BIAS of 1.9K.

• Furthermore warmer places (having temperature 295K and above) show more deviations in temperatures as compared to colder places.

• THANK YOU FOR YOUR KIND ATTENTION

• A.K.SHARMA