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The competition

This workshop focuses on the production of global winds for lidar applications. It addresses problems in the PBL and explores the use of scatterometer data. The workshop also discusses measurements in different atmospheric conditions and the potential of lidar technology.

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The competition

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  1. The competition To produce Global Winds for applications Lidar Workshop 2003 Anon.

  2. Problems in the PBL Anon. 2003

  3. Geostrophic Wind or the scatterometer 1-km wind VG=P / ( f ) Mid- PBL V = P / ( f) - Fviscous Lidar ave. wind in PBL Geostrophic Wind direction 25° (Stable strat.) 18° (neutral stratification) Surface wind 5° (Unstable strat.) -10° to 40° (Thermal Wind Effect) R A B 2003

  4. Taking measurements in the Rolls with Tower & Sondes 1-km Station A 2 - 5 km Lidar shots: Mean winds? Station B RABrown 9/2003

  5. The scatterometers R. A. Brown 2003

  6. R. A. Brown 2003

  7. UW, Patoux ‘03

  8. Scatterometer Products & Revelations Or, just get a sensor up there and let things happen…..

  9. 25th anniversary party is next week in London 1 9 7 8 Scatterometer Products from Space WIND vectors Surface stress vector

  10. 2 0 0 3 Scatterometer Products from Space Marine Surface Pressure Fields WIND vectors Fronts Land Vegetation Storms: Location; Strength Pack Ice location, concentration, thickness Mean PBL temperature Mean PBL stratification Surface stress vector Ship, submarine detection

  11. Scat. Revelations (that suggest what a lidar might do) Anon. 2003

  12. Storms are under-represented in Climatology, weather. Hence fluxes (stress, heat fluxes) are wrong • Surface Pressure Fields of 102 Storms surveyed: 25% good matches but with higher model function wind (+ 3 mb average difference) 70% misplaced by an average - 280 km 5 - 10% missed entirely R. A. Brown ‘03

  13. The Storm wind speeds are too low in the Climatology record • Surface Pressure Fields of Storms average 6 mb too high in GCMs • Scatterometer Model Functions prior to 2000 produce too-low high winds (by 10-50%) with 23 m/s maximum • QuikScat Model Function yields 40 m/s max. • New Model Function option produces 60 m/s winds in storms (Wentz, 2000) R. A. Brown PORSEC2000

  14. Oceanic Fronts Defined: as lines of different sea state --- roughness variation Are:Unexpectedly ubiquitous, persistent; mysterious Indicate: Cyclogenesis; Ocean mixed layer changes; wake effects…… 10/11/99, 2003 rab

  15. Storms & Fronts Analyses

  16. Revelation 4b Proof of Rolls Or, the mathematical solution for the PBL flow that includes coherent structures (OLE) is correct R. A. Brown 2003

  17. CONCLUSIONS The PBL relation with OLE, hence VG(o ) or P(o ), works well. Global P(x,y,t) are available†. • The surface layer relation, hence U10 {u*(o )} works well. Global, smooth U10 (x,y,t) are available†. There is almost no surface truth --- buoy or GCM surface winds with U10 > 25 m/s. The U10 model function can be extrapolated to about 35 m/s. There are indications that o responds to the sea state up to U10 ~ 40 m/s., H-pol ~ 60 m/s? Climatological u* and heat fluxes need to be revised. † http://pbl.atmos.washington.edu R. A. Brown 2003 Lidar

  18. A possible future:Lidar Revelations * There are many unknown waves and instabilities in the troposphere. * The PBL Inversion is ubiquitous, persistent, mysterious. * The Tropopause is stronger than thought, with instabilities and flux events * There are numerous organized vortex flows (coherent structures) previously unknown in the troposphere. 2003 R. A. Brown lidar

  19. For Bob Atlas question: • A Gradient Wind Correction for Surface Pressure Fields Retrieved from Scatterometer Winds, Patoux, J. and R.A. Brown, Jn. Applied Meteor., Vol. 41, No. 2, pp 133-143, 2002 • * Scaling Effects in Remote Sensing Applications and the Case of Organized Large Eddies, Canadian Jn. Remote Sensing, 28, 340-345, 2002. • * A Scheme for Improving Scatterometer Surface Wind Fields, J. Geophys. Res., Patoux, J. and R.A. Brown, 106, No. 20, pg 23,985-23,994, 2002 • * Spectral Analysis of QuikSCAT Surface Winds and Two-Dimensional Turbulence, Patoux, J. and R.A. Brown, J. Geophys. Res., 106, D20, 23,995-24,005, 2002 • Global Surface Pressures from Satellite Scatterometers, Patoux and Brown, in press, Jn. Applied Meteor. • Question about cyclogenesis --- See PhD thesis, Jerome Patoux, UW, 2003.

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