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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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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 and IR satellite data: assessment of reliability of instantaneous rain rate maps in the Mediterranean

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


Modis RGB composite 10 November 10:45 UTC and IR satellite data: assessment of reliability of instantaneous rain rate maps in the Mediterranean


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)


The hybrid PMW-IR method: the information transfer data

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


The hybrid PMW – IR technique: geolocation data

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


Validation of rain rate fields produced data

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)


Validation of rain rate fields produced data

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!





35 data

0

RU slot 00:30

TRRM/TMI #22741

10 Novemberrain maps mm h-1

RU slot 00:30


35 data

0

TRRM/TMI #22742

RU slot 01:30

10 Novemberrain maps mm h-1




35 data

0

TRRM/TMI #22757

RU slot 01:00

11 Novemberrain maps mm h-1


11 November data

SSM/I 06:32

RU slot 07:00

RU slot 06:30


Open items… data

  • 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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