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The Scatterometer Basic Concepts

The Scatterometer Basic Concepts. R. A. Brown 2003 U. Concepci Ó n. R. A. Brown 2003 U. Concepci Ó n. UW; Patoux, ‘03. R. A. Brown 2003 U. Concepci Ó n. There is no theory for the wind generation of water waves. or for the wind correlation with backscatter.

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The Scatterometer Basic Concepts

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  1. The Scatterometer Basic Concepts R. A. Brown 2003 U. ConcepciÓn

  2. R. A. Brown 2003 U. ConcepciÓn UW; Patoux, ‘03

  3. R. A. Brown 2003 U. ConcepciÓn

  4. There is no theory for the wind generation of water waves or for the wind correlation with backscatter R. A. Brown 2003 U. ConcepciÓn

  5. The microwave backscatter can be expected to vary with: • Wind stress, hence Surface wind speed • Incidence angle • Angle between radar look and wind forcing  A Measure of the Success of a wind vector Model Function is the recognizable periodic response of backscatter in a global data set.  This will appear if data are binned in small increments of wind speed and incidence angle, and backscatter vs look angle are plotted.  The backscattershould rise and fall sinusoidally as look direction is up, down, or across the wind. R.A. Brown, 11/99 R. A. Brown 2003 U. ConcepciÓn

  6. The Scatterometer R. A. Brown 2003 U. ConcepciÓn

  7. Go to scatterometer profile file

  8. Scatterometers in Space SeaSat 1978 ERS -1 1991-95 ERS-2 1995-2001 ERS-2 1995-2001; 2003 - NSCAT 1996-97 QuickScat 1999 - SeaWinds 2002 - ASCAT 2004 R. A. Brown 2003 U. ConcepciÓn

  9. Does the Scatterometer Work? R. A. Brown 2003 U. ConcepciÓn

  10. Active Microwave Radar Basics appraisalData: cm-scale, average density in a footprint. 50km  25km  7km  100m (SAR)Theory:State: 1-10, poor to excellent  Wind generation of water waves 1  % energy into short/long waves 2  Wave-wave interaction 3  PBL wind (log layer, Ekman layer) 8 Parameterizations  U10 (u*) land 7  U10 (u*) ocean 5  PBL (similarity) 7  Scatterometer Model Function  u* (o) 4  U10 (o) 8 P (o) 7 • Note: There’s room for new phenomena R. A. Brown 2003 U. ConcepciÓn

  11. Chronology of Wind Speeds R. A. Brown 2003 U. ConcepciÓn

  12. The Scatterometers have Arrived • In 1978 Seasat flew with SASS1 • In 1984 NSCAT was conceived and soon built for launch • 1985 - 1988: Launch rockets delayed, cancelled. (Refurbish battleships, Gulf wars, Admiral’s perqs) • 1991 Europeans launch ERS-1; ERS-2 (1995) turn off ERS-1. • Japan puts NSCAT on ADEOS --- an EOS deal 1996 Launches, works well --- 9 months only • Quikscat conceived, built from SeaWinds parts, launched 1998, working – 2003 • ERS=2 resurrected - 2003 • 2003 SeaWinds on ADEOS 2; working 9/03. R. A. Brown 2003 U. ConcepciÓn

  13. CONCLUSIONS • The surface layer relation, hence U10 {u*(o ) }works well • 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 40 m/s • There are indications that o responds to the sea state for U10>40 m/s. (H-pol > 60?) • Winds > 30 m/s need an asterisk indicating a kluge • The JPL Model function still misses very high winds (Wentz model doesn’t) R. A. Brown 2003 U. ConcepciÓn

  14. CONCLUSIONS • The PBL relation VG{U10 [u*(o )] } works well • Scatterometer derived pressure fields can be used to choose the best direction ambiguity, substitute an average U10 or a high wind. • Similarly, the pressure fields can be used to correct (smooth) o single or small area (rainy) anomalies • GCM PBL models still have wrong physics, too-low winds, too low pressure gradients R. A. Brown 2003 U. ConcepciÓn

  15. Products R. A. Brown 2003 U. ConcepciÓn

  16. 1 9 7 8 Scatterometer Products from Space WIND vectors Surface stress vector R. A. Brown 2003 U. ConcepciÓn

  17. 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

  18. R. A. Brown 2003 U. ConcepciÓn

  19. R. A. Brown 2003 U. ConcepciÓn

  20. R. A. Brown 2003 U. ConcepciÓn

  21. R. A. Brown 2003 U. ConcepciÓn

  22. Storms & Fronts Analyses R. A. Brown 2003 U. ConcepciÓn

  23. The Gradient Wind Correction The gradient wind correction is described in Patoux and Brown (2002) and uses the simple balance of forces in natural coordinates shown in the figure R. A. Brown 2003 U. ConcepciÓn

  24. On the right, the gradient wind correction has been included. The obtained pressure field is very similar to the uncorrected one, except for the center of the anticyclone, where the radius of curvature is smaller, and the effect of the correction bigger. The pressure gradients are weaker and the central area of the high is flatter, which seems in better agreement with ECMWF. R. A. Brown 2003 U. ConcepciÓn

  25. The low is deeper, and the pressure gradients are stronger, especially where the winds are strong and where the streamlines are curved the most. This can be appreciated on the western flank of the low. The whole structure of the pressure field is affected by the gradient wind correction: it is more asymmetric, as well as deeper. Note that the uncorrected low is shallower than indicated by ECMWF, but that the corrected low is deeper than indicated by ECMWF. R. A. Brown 2003 U. ConcepciÓn

  26. In the first case, the system is decaying and the cold front is moving ahead of the low (note the correspondance between the convergence line and the frontal cloud band). R. A. Brown 2003 U. ConcepciÓn

  27. In the second case, the system is decaying but a secondary low is developing behind the remnants of the cold front. Note also the correspondance between convergence and clouds. R. A. Brown 2003 U. ConcepciÓn

  28. Go to scatterometer profile file

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