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Satellite User Readiness Navigator (SATURN)

Preparing for the next generation of meteorological satellites

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INSAT-3D: Data products and Applications

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Data Products: Following tables  show the list of data products from INSAT-3DR Imager and Sounder. These products may be updated from time to time based on user requirement and new products generated.

                  Products from  INSAT-3D Imager

S.No. Data Product Processing Level Code Format Remarks
Standard Products
1 Standard Product Full Disk L1B STD HDF Per Pixel Lat & Lon as viewed by Satellite
2 Standard Sector Product L1C Sector mnemonic HDF Map Projected
Geo-Physical Parameters (Per Pixel)
1 Outgoing long wave radiations L2B OLR HDF Per Pixel
2 Rainfall using Hydro Estimator L2B HEM HDF Per Pixel
3 Quantitative Precipitation Index (IMSRA Method) Improved L2B IMC HDF Per Pixel
4 Sea Surface Temperature L2B SST HDF Per Pixel
5 Upper Troposphere Humidity L2B UTH HDF Per Pixel
6 Cloud Mask L2B CMK HDF Per Pixel
Geo-Physical Parameters (Map Projected)
1 FOG L2C FOG HDF Map Projected
2 SNOW L2C SNW HDF Map Projected
3 INSOLATION L2C INS HDF Map Projected
Geo-Physical Parameters (Point)
1 FIRE L2P FIR KML Point
2 SMOKE L2P SMK KML Point
3 Visible Winds L2P VSW HDF Point
4 IR Winds L2P IRW HDF Point
5 MIR Winds L2P MRW HDF Point
6 WV Winds L2P WVW HDF Point
Geo-Physical Parameters (Gridded)
1 Quantitative Precipitation Estimate (GPI) L2G GPI HDF 1 deg x 1 deg
2 Aerosol Optical Depth L2G AOD HDF 0.1 deg x 0.1 deg
3 Quantitative Precipitation Index (IMSRA) L2G IMR HDF 0.25 deg x 0.25 deg
Binned Geo-Physical Parameters (Temporally Binned)
1 Outgoing long wave radiations L3B OLR HDF Daily, Weekly, Monthly and Yearly

Per Pixel
2  Rainfall using Hydro Estimator L3B HEM HDF Daily, Weekly, Monthly and Yearly

(Per Pixel)
4 Upper Troposphere Humidity L3B UTH HDF Daily, Weekly, Monthly and Yearly

(Per Pixel)
5 Sea Surface Temperature L3B SST HDF Daily, Weekly, Monthly and Yearly
6 Quantitative Precipitation Index (IMSRA Method) L3G IMR HDF Daily, Weekly, Monthly and Yearly

0.25 deg x 0.25 deg
7 Quantitative Precipitation Index (GPI Method) L3G GPI HDF Daily, Weekly, Monthly and Yearly

(1 deg x 1 deg)
8 Insolation L3C INS HDF Daily, Weekly, Monthly and Yearly (Map Projected)
9. Potential Evapo-Transpiration L3C PET HDF Daily, Weekly, Monthly and Yearly (Map Projected)

 

Products from INSAT-3D Sounder

S.No. Data Product Processing Level Code For-mat Remarks
Standard Products
1 Standard Product L1B STD HDF Per Pixel Lat & Lon as viewed by Satellite
Geo-Physical Parameters
1 Vertical Profiles

·         Temperature Profiles (Regression and Physical Retrieval)

·         WV Profiles (Regression and Physical Retrieval)

·         Ozone Profile (Regression and Physical Retrieval)

·         Surface Skin Temperature (Regression and Physical Retrieval)

·         Total Ozone (Regression and Physical Retrieval)

 

Derived products

·         Geo Potential Height (40 levels)

·         Total Precipitable Water

·         Layer-1 (1000-900 hPa) Precipitable Water

·         Layer-2 (900-700 hPa) Precipitable Water

·         Layer-1 (700-300 hPa) Precipitable Water

·         Lifted Index Wind Index

·         Dry Microburst Index

·         Maximum Vertical Theta-e

 L2B PFL HDF Profile on 3×3  Pixels (Average)

Apart from these geophysical parameters the clear-sky radiances and cloud-cleared radiances from both the Imager and Sounder will be available for direct use in the radiance assimilation in NWP models.

Applications: Following is a list of the applications that is expected to benefit from the INSAT-3DR observations:

  • Numerical weather prediction
  • Assimilation – Radiance/Geophysical parameters
  • Nowcasting – severe weather/thunderstorm/cloud-burst
  • Monsoon – monitoring and assessment
  • Cyclone track and intensity prediction
  • Ocean State forecast
  • Agricultural monitoring and forecast
  • Fire monitoring
  • Pollution (Dust/Haze) monitoring
  • Aviation
  • Ozone monitoring
  • Climate applications

 

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INSAT-3D: Software Tools and Test Data

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Prior to the launch of the INSAT-3D satellite in 2013, the test data was generated using in-house developed methodology to generate proxy radiances for both Imager and Sounder from hyperspectral observation available through polar-orbiting operational satellites, such as Metop-IASI, Aqua-AIRS, and simulated radiance using NWP model analysis as input to the radiative transfer models. However, for INSAT-3DR and 3DS the situation is easier as the actual observations from INSAT-3D Imager and Sounder could work as test data as the instrument characteristic are similar and the same will be applied as the day-1 algorithm.

The software tools that were developed for INSAT-3D will work for 3DR as well as 3DS with improved features based on past few years’ experience with INSAT-3D. These software tools are integrated with the INSAT Meteorological Data Processing System (IMDPS) installed at SAC, Ahmedabad (Bopal Campus) as well as IMD, New Delhi. The processed data is archived and disseminated through Meteorological and Oceanographic Satellite Data Archival Centre (MOSDAC) at SAC.

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