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Comparison of Liquid Water Path from AMSU (NN) and AVHRR (KLAROS) Heike Hauschildt Institute of Marine Research Kiel CLIWA-NET Meeting, Madrid, 16.-19 . December 2002 WP 3200: Description of work LWP algorithm for AMSU LWP retrieval over

  1. Comparison of Liquid Water Path from AMSU (NN) and AVHRR (KLAROS) Heike Hauschildt Institute of Marine Research Kiel CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  2. WP 3200: Description of work LWP algorithm for AMSU LWP retrieval over sea from AMSU data LWP retrieval over sea and land from AVHRR data Synergetic algorithm for AVHRR and ground based observations over land Synergetic algorithm for AVHRR and AMSU over sea areas Combining results over sea and land to get LWP fields for the Baltic modelling area and the Netherlands Retrieval of an optimized algorithm from combined ground based and satellite measurements during BBC and reprocessing EOP1+2. CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  3. KLAROS Data on the web CNN 2 : Overpasses near noon NOAA-14: April North: ok South: missing May North: missing South: missing NOAA-16: April North: ok South: ok May North: ok South: ok BBC : Overpasses near noon NOAA-14 partly NOAA-16 ok CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  4. Radiosonde dataset Radiosonde ascents Input data Pressure < 300 hPa 5 hPa level Synop - data Offshore winds N = 7388 (< 500g/m 2 ) CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  5. NN Training Data Ships plus coastal stations N=7388 TB TB TB TB 31.4 GHz 23.8 GHz 50.3 GHz 89.0 GHz < 10 g/m 2 LWP WV CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  6. Neural Network Ships + Coast N=7388 CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  7. KLAROS LWP 14.04.2001 CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  8. AVHRR - AMSU 14.04.2001 AVHRR AMSU CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  9. Neural Network 14.04.2001 CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  10. Neural Network CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  11. Temperature vs Viewing Angle Red: RS- data Blue: 70S - 70N Light blue: N. Atlantic Black: 20N- 70N, 20W-20E CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  12. MWMOD distribution CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

  13. Conclusion Cloud fields can be reproduced by NN- retrieval Overestimation for high LWP (> 300 g/m 2 ) Underestimation for low LWP (< 200 g/m 2 ) Sub-FOV variability complicates the LWP retrieval Validation of LWP derived from AVHRR by the use of AMSU retrievals does not work CLIWA-NET Meeting, Madrid, 16.-19 . December 2002

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