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Rainfall measurement comparison between two types of disdrometers

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HAL Id: hal-00869297

https://hal-enpc.archives-ouvertes.fr/hal-00869297

Submitted on 2 Oct 2013

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Rainfall measurement comparison between two types of disdrometers

Samuel Fillon, Auguste Gires, Ioulia Tchiguirinskaia, D Schertzer, S. Lovejoy

To cite this version:

Samuel Fillon, Auguste Gires, Ioulia Tchiguirinskaia, D Schertzer, S. Lovejoy. Rainfall measurement

comparison between two types of disdrometers. International Precipitation Conference 11, Jun 2013,

Wageningen, Netherlands. �hal-00869297�

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Rainfall measurement comparison between two types of disdrometers

S. Fillon (1), A. Gires (1), I. Tchiguirinskaia (1), D. Schertzer (1), S. Lovejoy (2)

(1) U. Paris-Est, École des Ponts ParisTech, LEESU, Marne-la-Vallée, France (auguste.gires@leesu.enpc.fr), (2) McGill U., Physics dept., Montreal, PQ, Canada

Introduction

Rainfall point measurements:

- Tipping bucket rain gauges (usually 0.2 mm tips)

-Disdrometers (binned size and velocity)

The quantification of the uncertainty associated with these devices is still an open question.

Preliminary results of a comparison campaign between two disdrometers types (Parsivel OTT and Campbell Scientific PWS100) are presented here.

Campbell Scientific PWS100

Comparison of 4 events

Size/Velocity maps

Multifractal analysis

Estimating statistics across scales Definition of the fractal dimension DF

Quantifying the scaling variability

In the framework of universal multifractals :

Only three parameters (based on the behavior of the average field)

- H: degree of non-conservation (K(1)=H) - C1: mean intermittency (K’(1)=C1+H) -α: multifractaility index (K’’(1)=α.C1)

Straightforward consequences on the extremes - Large αand C1strong extremes

Estimation of the three exponents with the help of the double trace moment technique (DTM)

scale n observatio

scale outer l resolution L

_

= _

=

=λ

) ( ) (

)

Pr( λ γ γ

λ

λ λ

λ

c q K q

R R

>≈

<

If multifractal:

Scaling moment function

Codimension function

rain with pixels of

number =λDF





= +

≠ +

− −

=

1 ln

1 ) 1( ) (

1 1

α α α α

Hq q q C

Hq q C q q K

 =







+

= +

1 1 exp

1 1 ) '

(

1 1

'

1 1

γ α α α α γ γ

α

C C

C C H c

(1)

(3)

(2)

(4) (1): 15th May 2013 3h15 Light rain / long duration (2): 16th May 2013 10h18 Very light rain / Average duration (3): 29th May 2013 21h18 Intense rain / short duration (4): 9th June 2013 4h43 Average intensity rain / long duration

- Along standard V(D) curves

- Heavier rainfall event wider distribution - For (3) and (4) a spot for small D (effect of the building?)

Temporal evolution of N(D)

Conclusion

References

Ellis, R.A. et al., 2006. New laser technology to determine present weather parameters. Measurement Science & Technology, 17(7): 1715-1722.

Gires et al., 2013. Influence of small scale rainfall variability on standard comparison tools between radar and rain gauge data. Submitted to Atm. Res.

Schertzer D., Lovejoy S., 2008: Turbulence, raindrops and the I1/2number density law. New Journal of Physics 10

19 June 2013, 17h20-17h50, a 10 year return period event !! Multifractal analysis and microphysics

(3)

(4) (2)

(1)

- Position of the peak similar for all curves - Greater values for heavier event - Wider tails for heavier event Raindrop diameter distribution

Chair “Hydrology for Resilient Cities”

(sponsored by Véolia)

Rain rate

Multifractal analysis on a 3 month mean for rain rate

R ρl n

α 1,61 1,59 1,34

C1 0,10 0,14 0,10

β 1.98 2.00 1.82

H 0.58 0.62 0.49

Multifractal analysis tools applied to rain rate (R), liquid water content (ρl) and number density (n).

Size-Velocity map (# drop per bin / (∆D ∆v), in log)

Temp. evo. rain rate (Total depth ~ 30 mm)

Temporal evolution of N(D)

Avg N(D) (m-3mm-1)

(in log)

ββββ= 2.66

=

max

min

)

D

(

D

N D dD n

= max

min

) 3

6 (

D w D

l ρ π N D DdD

ρ

Temperature and relative humidity

probe

Transmitter Detector A

Detector B

Digital processor

The transmitter generates four parallel laser sheets and the detectors measure the light refracted by the hydrometor (liquid drop) falling through the sampling area : - Optical properties of refraction the vertical detector receives signal slightly before horizontal one estimation of the size of the drop

- 4 II sheets periodic received signal estimation of the velocity of the drop

(see Ellis et al., 2006)

Refraction towards the vertical detector

Refraction towards the horizontal detector

= ∆

j j

j i i i eff

i v

n t D D D S

N ,

) ( ) 1 (

= i

i i i

ivD DdD

D N R 6π104 ( )( ) 3

=

j

i eff i

i j i

D S

D n R t

, 3 ,

) ( 6

π

RPWS100

(Blue)

(Red)

(Black) (1)

(3)

(2)

(4)

(1)

(3)

(2)

(4)

D (mm) N(D)(mm-1.m-3)

30 s

32 min

General features

Multifractal analysis on R

Dur.

(min) I max (mm/h)

T * (Year)

30 min 57 8.9

15 min 72 6.1

5 min 154 10.3

* Estimated using a Frechet law and the data from a rain gauge located 10 km away

- Some standard values of α(1.6-1.7), C1(0.1-0.2) and H(0.5-0.6) during a rainfall event

- Multifractal tools can be used on disdrometers data to give an insight into the microphysical processes

- Only preliminary results, the two OTT parsivel still need to be installed…!

ααα α= 1.69 C1= 0.17 H = 0.66

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