Campaign data for parameterization tests: Examples from MAP‘99 VERTIKATOR’02, AWIATOR‘03 Hans Volkert, Thorsten Fehr, Christoph Kiemle, Oliver Reitebuch,

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Presentation transcript:

Campaign data for parameterization tests: Examples from MAP‘99 VERTIKATOR’02, AWIATOR‘03 Hans Volkert, Thorsten Fehr, Christoph Kiemle, Oliver Reitebuch, Arnold Tafferner and Martin Weißmann DLR Oberpfaffenhofen, D Institut für Physik der Atmosphäre Evelyne Richard Laboratoire d‘Aérologie, CNRS & Université Paul Sabatier Toulouse, F

“Whenever possible, parameterizations should … be quantitatively validated against observations“ (Peixoto & Oort 1991) Textbook knowledge: High resolution … … simulation models need special data, e.g from dedicated field campaigns here:wind,boundary layer, precipitation microphysics Which variables and processes?

The campaigns MAP-SOP 1999Mesoscale Alpine Programme Special Observing Period „Weather and Alps“7 Sept. – 15 Nov 1999 cf.Bougeault et al. 2001, BAMS 82, 433–462 wind QJ, Jan B (No. 588), 129, VERTIKATOR-02Vertikaler Austausch, Trans- port und Orographie „Alpine Pumping“July 2002, north of the Alps wind & precipitation AWIATOR-03Wake Vortices at airports „Wake Vortex“Aug. 2003, north of Pyrénées wind

MAP-SOP 1999 IOP-15 8 Nov. north Föhn with waves

Rhone Aosta (model) orography (  x=1 km) 1.67–2.00 km aircraft triptych: B-A-C-D, 8 Nov. 1999

L North Föhn 8 Nov ARPEGE ana. 12 UT 500 hPa: flow (max. 30 m/s) geopot. (  =40 gpm) model: Meso-NH with four nests (32, 8, 2, 0.5 km)

Drop-sounding: uniform wind direction ffddTrh  dry moist

Three drop-sondes in 2mins.: reproducibility

vertical velocity: trans-Alpine sections RhoneAostaRhoneValtellina obs + sim (--) F C E legs4 legs10 legs

vertical velocity: 2 & 1/2 km simulation 2 km ½ km RhoneValtellinaRhoneAosta F C E +2 -2

water vapour triptych: lidar-obs. vs. simulation w (C130) mean diff. backs retrieval (s.p.=0.7) sim. obs. 100 ppmv 200

VERTIKATOR , 9, 19 July Alpine pumping & generation of thunderstorms

10 µm-System WIND DLR/CNRS/CNES/Meteo-France vert. res. 250 m hor. res km accuracy m/s 2 µm-System DLR/CTI-MAG1 100 m km m/s Airborne Doppler Lidar at DLR

Flight Track Falcon 8 July : :34 LT Data processing with averaging 3 scanner revolutions: km

east-west gradient in speed (> 4 km) southwest northerly winds along the Alps up to 2.3 km WIND July 8, 2002, 14: :27 LT Track Bodensee  Chiemsee wind speed below 4 m/s (< 2.5 km)

MM5 by L. Gantner, Uni München WIND and MM5 on July 8, 2002 Track Bodensee  Chiemsee WIND: top, 14: :27 LT; MM5: bottom, 14:00 LT

19 July: 2 µm Lidar and vertical velocity

shallow medium steep 40 km 9 July: Bistatic Doppler and polarimetric radar

steepshallow medium 12 min later...

shallow medium steep

12:30 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

13:00 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

13:30 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

14:00 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

14:30 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

15:00 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

15:30 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

16:00 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

16:30 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

17:00 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

17:30 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

18:00 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

18:30 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

19:00 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

19:30 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

20:00 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

20:30 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

21:00 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

21:30 UT Meso-NH 2 km res. surf. wind, all hydromet., accum. precip. storm gene- Alps

AWIATOR August Diurnal cycle of surface profiles RASS vs. LM & MM5

Tarbes Airport Airport Tarbes Pau The Pyrenees LM forecast domain (DWD) MM5 forecast domain m/s LM MM5 Wake Predictor P2P MM5 vertical grid Modelling chain: LM–MM5–P2P

00 UT virt. temperaturewind speed

01 UT virt. temperaturewind speed

02 UT virt. temperaturewind speed

03 UT virt. temperaturewind speed

04 UT virt. temperaturewind speed

05 UT virt. temperaturewind speed

06 UT virt. temperaturewind speed

07 UT virt. temperaturewind speed

08 UT virt. temperaturewind speed

09 UT virt. temperaturewind speed

10 UT virt. temperaturewind speed

11 UT virt. temperaturewind speed

12 UT virt. temperaturewind speed

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14 UT virt. temperaturewind speed

15 UT virt. temperaturewind speed

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17 UT virt. temperaturewind speed

18 UT virt. temperaturewind speed

19 UT virt. temperaturewind speed

20 UT virt. temperaturewind speed

21 UT virt. temperaturewind speed

22 UT virt. temperaturewind speed

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24 UT virt. temperaturewind speed

Concluding messages Potentially useful, non-standard data are available for parameterization test of high-resolution models; here: remotely sensed wind and precipitation A suitable number of case-studies may be more revealing than standard statistics Modelling and measuring camps have to come closer together DANKE for listening to me !!!