TTO1c (previous task team for wind profilers)

(Saïd-Campistron-Sokolov)

• Data processing and data providing to the data bank

• Scientific concerns : - water vapor content profiles (Saïd)

- VHF network (Campistron)- Pianottoli UHF (Sokolov)- UHF network (Saïd)

DATA PROCESSING

High mode, processed and sent to the data-bank for SOP1 + monthly and IOP’s quick-looks. No bird-filtering: 5 French UHFs + 3 VHFs. Except Oct 15-Nov 5 in Pianottoli. Spanish UHFs and miniVHF require specific computation. Will not be provided through the DB. High mode, bird-filtered. Provided for AROME assimilation. Will be sent to the DB in early June (1 file/30 min/radar) Low mode : some issues in Pianottoli: the (new) radar revealed not to be powerful enough (limited range : 1-1;5 km, outside rainy episods). EOP data until dec 2013: not sent to the DB yet but most data sets have been recovered . 3 VHFs have been totally processed (13 months), Marignane and Perpignan (on going processing).

Expected end of processing : september

WATER VAPOR CONTENT

Nothing done since Cassis (poster presentation)

Needs further work to know why it sometimes perfectly works and sometimes not.One Corean colleague, presently in our lab, tried the method on Corean wind profilers: same conclusions up to now.

The method is not autonomous: requires additionnal parameters . The aim is to improve the time resolution retrieving of the humidity profiles, using for instance radiosounding profiles at a poor time resolution.

Analysis of the semidiurnal atmospheric tide based on the observations of a three VHF wind profiler

synoptic network B. Campistron1, F. Saïd1, and K.E. Kim2

14th International Workshop on Technical and Scientific Aspects of MST Radar. May 25 - 31 , 2014 - INPE - São José dos Campos/SP – Brazil

Fig. 10. Time-height composite day for the semidiurnal tide at the network centroid of the horizontal pressure gradient

A network of VHF wind profilers is very efficient to extract from the wind field and accurately retrieve the tiny signature of the thermal atmospheric tides from 2 km up to 15 km altitude. The oscillation in the low stratosphere of upward and downward motions, each lasting six hours, can modulate the generation or dissipation of upper clouds and so can modify the radiative global atmospheric budget.

PIANOTTOLI UHF in CORSICA

A. Sokolov is presently improving the statistical method he presented in Cassis. His multi-scale technique based on spatial and temporal correlations helps him to define regions and scales influenced or not by local meteorology. He would like a larger dataset at Pianottoli than had been initially provided, and is waiting for additional processed data. He expects to enlarge his studies using data at other locations (Candillargues, Levant, Marignane, Perpignan).

14th Workshop on Technical and Scientific Aspects of MST Radar (MST14/iMST1), Sao José dos Campos, May 25-31 2014 

Wind field conditions in the north-western Mediterranean basin monitored by a network of

wind profiler radars. F. Saïd* (1), B. Campistron (1), D. Lambert (1), H. Delbarre (2), M. Abadie (1), J.A. Aranda (3) , E. Bargain (1), F. Besson (4), Y. Bezombes (1), J.L. Boichard (5), J.L. Bourrian (6), O. Bousquet (7), G. Canut (7), G. Cherel (7), S. Derrien (1), A. Doerenbecher (7), J.M. Donier (7), T. Douffet (7), P. Durand (1), J.B. Estrampes (1), A. Ezcurra (8), A. Frappier (7), J.A. Garcia-Moya (9) , O. Garrouste (7), J.A. Guijarro (10), R. Guillot (7), C. Hervier (11), J.L. Jouve (4), J. Lovichi (12), M. Macaigne (1), M. M. Maruri (3)(8), B. Piguet(7), E. Pique (1), Y. Pointin (11), S. Prieur (1), E. Richard (1), C. Ruffin-Soler (2), A. Sokolov (2), D. Subra (7), J. Torres (3) and M. Turp (13)

Assuming that space and time variations are linear, at the scale of the networks, we retrieve U, V, and W components of the wind, at time ti and location (xi,yi,zi) using:

f(ti+dt; xi+dx; yi+dy; zi+dz) = f(ti; xi; yi; zi)+ ∂f/ ∂t dt + ∂f/ ∂x dx + ∂f/ ∂y dy + ∂f/ ∂z dz.

The choice of dT and dZ is very important since these parameters control the time and space resolution and help filtering local disturbances or spurious data. Here dT=3h and dZ=500m

Validation done with- Aircraft data on horizontal, stabilized legs- Constant volume balloons for the low layers (trajectories or back trajectories)

LEG 1 RESULTS LEG 2 RESULTS

# yymmddcentred

time and

duration

A level (m)

R level

(m)Leg 1

length (km)A_w

windspeedR_w

windspeedA_w - R_w A_d wind direction

R_d wind direction A_d - R_d

Leg 2 length (km)

A_w windspeed

R_w windspeedA_w - R_w A_d wind

directionR_d wind direction A_d - R_d

39 23091214h30

(11mn)

3500 3500 29 12,2±0,8 13,0 -0,8 239 246 -7 31 11,3±0,3 14,9 -3,6 244 251 -8

40 260912 7h00 (1h15) 3700 3400 209 21,0±1,5 18,8 2,2 209 232 -23 139 22,1±1,1 18,9 3,2 207 234 -27

41 28091215h30 (36mn) 2500 2500 90 7,6±2,2 5,2 2,4 196 207 -11 106 7,0±1,8 4,7 2,2 182 187 -5

41 280912 20h (23mn) 2500 2500 61 12,0±1,3 6,7 5,3 162 187 -25 77 7,4±2,3 6,2 1,2 173 191 -18

43 111012 6h30 (18min) 2500 2500 57 6,4±1,5 6,5 -0,2 270 278 -7 58 5,7±1,3 6,9 -1,2 269 285 -16

43 111012 9h30 (35mn) 2500 2500 104 12,0±3 3,4 8,6 261 271 -10 108 5,8±1,8 5,9 -0,1 267 265 2

44 121012 1h45 (42mn) 4000 4000 153 10,3±1,8 10,9 -0,6 284 281 3 155 10,0±2,4 12,1 -2,1 286 283 4

45 121012 6h30 (50mn) 3700 3700 155 8,4±1,7 12,1 -3,7 288 302 -14 155 8,6±2,1 10,2 -1,6 293 287 6

46 141012 9h00 (56mn) 5200 4400 145 12,9±2,1 11,5 1,4 247 245 2 174 15,7±3,1 13,8 1,8 256 261 -4

47 141012 13h45 (19mn) 5200 4700 74 17,7±2,1 19,4 -1,8 255 272 -17 68 17,6±1,3 18,5 -0,9 256 266 -10

47 141012 15h15 (14mn) 2400 2400 43 13,6±3,8 12,3 1,3 242 246 -4 45 11,4±1,5 11,7 -0,3 272 252 21

48 151012 5h45 (48mn) 3600 3600 178 12,4±3,7 13,7 -1,3 271 262 9 174 17,2±3,4 21,5 -4,2 227 237 -10

50 121015 13h15 (58mn) 3600 3600 186 11,6±5,2 15,7 -4,1 240 312 -72 175 17,6±4,1 14,4 3,2 310 314 -4

54 25101219h30 (13mn) 3700 3700 40 10,3±1,7 6,6 3,7 208 224 -16 38 12,8±0,9 6,8 6,0 225 240 -15

56 261012 9h00 (23mn) 2300 2300 61 14,2±1,6 18,5 -4,3 291 292 -1 62 12,6±1,3 14,4 -1,8 297 299 -3

59 311012 4h45 (55mn) 2400 2400 180 9,2±3,1 16,5 -7,3 137 121 16 196 15,7±3,3 12,0 3,6 125 115 9

SMALL NETWORK / AIRCRAFT COMPARISON NICE!

LEG 1 RESULTS LEG 2 RESULTS

# yymmdd

centred time

and

duration

A level (m)

R level

(m)Leg 1 length

(km)A_w

windspeedR_w

windspeed A_w - R_w A_d wind direction

R_d wind direction A_d - R_d

Leg 2 length (km)

A_w windspeed

R_w windspeed A_w - R_w A_d wind

directionR_d wind direction A_d - R_d

39 23091214h30

(11mn)

3500 3500 29 12,2±0,8 12,0 0,2 239 242 -3 31 11,3±0,3 13,2 -1,9 244 245 -1

40 260912 7h00 (1h15) 3700 3400 209 21,0±1,5 16,4 4,6 209 220 -12 139 22,1±1,1 15,7 6,3 207 219 -13

41 28091215h30

(36mn)

2500 2500 90 7,6±2,2 5,1 2,5 196 202 -6 106 7±1,8 5,9 1,0 182 169 13

41 280912 20h (23mn) 2500 2500 61 12,0±1,3 7,9 4,0 162 184 -22 77 7,4±2,3 6,7 0,7 173 183 -10

43 1110126h30

(18min)

2500 2500 57 6,4±1,5 6,3 0,0 270 278 -8 58 5,7±1,3 7,7 -2,1 269 284 -15

43 111012 9h30 (35mn) 2500 2500 104 12,0±3,0 10,4 1,6 261 277 -16 108 5,8±1,8 8,0 -2,2 267 270 -3

44 121012 1h45 (42mn) 4000 4000 153 10,3±1,8 11,1 -0,8 284 279 5 155 10±2,4 16,0 -6,0 286 275 11

45 121012 6h30 (50mn) 3700 3700 155 8,4±1,7 15,6 -7,2 288 278 10 155 8,6±2,1 11,4 -2,8 293 276 17

46 141012 9h00 (56mn) 5200 4400 145 12,9±2,1 13,0 -0,1 247 249 -2 174 15,7±3,1 15,1 0,6 256 263 -7

47 14101213h45 (19mn) 5200 4700 74 17,7±2,1 13,9 3,7 255 265 -10 68 17,6±1,3 14,8 2,8 256 261 -4

47 14101215h15 (14mn) 2400 2400 43 13,6±3,8 11,6 2,0 242 255 -13 45 11,4±1,5 11,5 -0,1 272 255 17

48 151012 5h45 (48mn) 3600 3600 178 12,4±3,7 13,7 -1,4 271 264 7 174 17,2±3,4 19,3 -2,1 227 240 -13

LARGE NETWORK / AIRCRAFT COMPARISON NICE !

More deceiving results at low level even if the trajectories (or back trajectories) can be considered as the strictest test since it accumulates the discrepancies during hours (here : 11h for the 2nd fig.).

Question: will it be the same during IOP 2, when the winds are faster and are blowing offshore?

PRELIMINARY STUDY OF IOP13: 14-16 October 2012: HPE’s on Corsica and northern Italy

On Oct. 14 a moderate cold front, associated with a trough, is extending from Algeria to Corsica and northern Italy, and shifts towards southeastern Italy. Warm, moist, unstable air is advected across the Golfe du Lion, impinges the Corsica island during the Oct. 15 night and northern Italy on Oct. 16 morning.

Fig. 6 :. Geopotential at 500 hPa on a) Oct 14, 18:00UTC, b) Oct 15, 0.00UTC (with wind above 10m/s at 300hPa) and c) Oct 15, 12h from the ARPEGE (from the HYMEX website: http://sop.hymex.org).

0ct 14- 13.00UTC

0ct 15- 06.00UTC0ct 15- 02.00UTC0ct 15- 00.00UTC

0ct 14- 19.00UTC 0ct 14- 20.15UTC 0ct 14- 22.00UTC

0ct 14- 15.45UTC 0ct 14- 18.00UTC

Radar echoes on mountain ridges Pattern slowly shifts to the East (cyclonic motion, not shown here)

Southern pattern twists and lines up with the eastern Spanish mountains

… and slowly moves to the East, with some cells growing ahead the front line, fed by the conditionnally unstable and moistened air over the sea

The eastener cells reach CorsicaViolent storm in Corsica. The backside of the front line is no more in the radar range

Comparison of the R2 network wind fields at 3500m against the MesoNH- 2.5 km wind fields: some differencies between both wind fields but the shift of the cyclone to the East and the strengthening of the wind velocity is obvious on both fields.

Mean bias between both fields during 24h hours: the MNH variability for U and V quantified by the RMS is shown with thin lines along biases for U, V and the wind velocity. The nearly constant phase shift between U and V denotes discrepancies in the vorticity wind field, that could be easily checked .

Plenty of other things to do:

• Better analyse the dynamical evolution and try to explain the bias• Check with the other observations (radars, MSF images, surface rainfall …) • Analyse horizontal divergence and vertical vorticity evolutions in the mid-troposphere• Look at back trajectories• Check the conditions at higher level with the VHF network (which shows some tropopause folding during the period)• Write a paper on the profiler network…

2.5 km3.5 km4.5 km