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

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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





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 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




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