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Francesca Torricella , Vincenzo Levizzani and Miria Celano Satellite Meteorology Group

Applications of a rainfall estimation technique based on PMW and IR satellite data: assessment of reliability of instantaneous rain rate maps in the Mediterranean. Francesca Torricella , Vincenzo Levizzani and Miria Celano Satellite Meteorology Group ISAC-CNR Italy. Case study.

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Francesca Torricella , Vincenzo Levizzani and Miria Celano Satellite Meteorology Group

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  1. Applications of a rainfall estimation technique based on PMW and IR satellite data: assessment of reliability of instantaneous rain rate maps in the Mediterranean Francesca Torricella, Vincenzo Levizzani and Miria Celano Satellite Meteorology Group ISAC-CNR Italy

  2. Case study Major flood event occurred on 9-10 November 2001 over the Algerian coastal zone. Rainfall measured by rain gauges (GPCC daily data 1 x 1 degree spatial resolution) 65 mm day-1 from 15:00 UTC 9 November 47 mm day-1 next 24 hours

  3. Modis RGB composite 10 November 10:45 UTC

  4. Extract space and time coincident locations from IR and MW data Compute RR from PMW and Tb from IR Create statistical relationships RR-Tb Assign RR at every IR pixel The Turk’s hybrid PMW-IR method Update histograms on receipt of new data (PMW or IR)

  5. The hybrid PMW-IR method: the information transfer How much and for how long is microphysical information from past microwave overpasses maintained? t-2 t-1 t0 t+1 etc. time “window” Geostationary-based IR observation Non-equally spaced PMW observation

  6. The hybrid PMW – IR technique: geolocation of TB-RR relationships The RR values are depressed due to the smoothing process: i.e. the TB-RR relationships are averaged on 5 x 5 boxes regions to avoid discontinuities at box boundaries Global grid for geo-locating TB-RR relationships

  7. Validation of rain rate fields produced by means of Turk’s technique Validation of an Operational Global Precipitation Analysis at Short Time Scales F. Joseph Turk, Elizabeth E. Ebert, Hyun-Jong Oh and Byung-Ju Sohn, Vincenzo Levizzani, Eric A. Smith, Ralph Ferraro Rain gauges-RU scatter plots for several time average intervals (1° spatial scale) Gauges from the AWS (Automated Weather Station) network of the KMA (Korean Meteorological Agency)

  8. Validation of rain rate fields produced by means of Turk’s technique 0.5 2 0.5 Gauge averaging time:2 minuteswindow centred about the GMS observation time As expected all parameters improve as either the averaging period is increased or the grid size is coarsened!

  9. 09 November SSM/I rain map 19:19 [mm h-1]

  10. 09 November SSM/I rain map 19:58 [mm h-1]

  11. TB-RR relationships for the 9 boxes (19:58)

  12. 35 0 RU slot 00:30 TRRM/TMI #22741 10 Novemberrain maps mm h-1 RU slot 00:30

  13. 35 0 TRRM/TMI #22742 RU slot 01:30 10 Novemberrain maps mm h-1

  14. 10 November SSM/I rain map 19:05 [mm h-1]

  15. 10 November SSM/I rain map 19:43 [mm h-1]

  16. 35 0 TRRM/TMI #22757 RU slot 01:00 11 Novemberrain maps mm h-1

  17. 11 November SSM/I 06:32 RU slot 07:00 RU slot 06:30

  18. Open items… • Better accounting for parallax effects • Ground validation • Insert the new GPROF v6 PMW algorithm • For event application reduce the grid size dimension (and avoid smoothing?)

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