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R. A. Brown 2003 U. ConcepciÓn. UW; Patoux, ‘03 R. A. Brown 2003 U. Concepci Ó n.

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Presentation on theme: "R. A. Brown 2003 U. ConcepciÓn. UW; Patoux, ‘03 R. A. Brown 2003 U. Concepci Ó n."— Presentation transcript:

1 R. A. Brown 2003 U. ConcepciÓn

2 UW; Patoux, ‘03 R. A. Brown 2003 U. Concepci Ó n

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5  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 backscatter should rise and fall sinusoidally as look direction is up, down, or across the wind. The microwave backscatter can be expected to vary with: Wind stress, hence Surface wind speed Incidence angle Angle between radar look and wind forcing R.A. Brown, 11/99 R. A. Brown 2003 U. ConcepciÓn

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7 Go to scatterometer profile file

8 SeaSat 1978 ERS -1 1991-95 ERS-2 1995-2001 NSCAT 1996-97 QuickScat 1999 - SeaWinds 2002 - ASCAT 2004 R. A. Brown 2003 U. Concepci Ó n ERS-2 1995-2001; 2003 -

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10 Active Microwave Radar Basics appraisal Data: 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  U 10 (u*) land 7  U 10 (u*) ocean 5  PBL (similarity) 7  Scatterometer Model Function u* (  o ) 4 U 10 (  o ) 8  P (  o ) 7 Note: There’s room for new phenomena R. A. Brown 2003 U. Concepci Ó n

11 Chronology of Wind Speeds Date Scatterometer Project UW 1978 Seasat 0<U 10 <22PBL model – no limit 1991ERS1–2 0<U 10 <20Data Up to 30 m/s? but saturation expected 1996NSCAT 0<U 10 <22; 0<U 10 <35 (1998) 0<U 10 <23 (data); 35 (1998) 0<U 10 <45 model function 2001SeaWinds/QuikSCAT 0<U 10 <23 0<U 10 <45 data (pressure gradients) 2002 2003 SeaWinds/QuikSCAT 0<U 10 <45; 0<U 10 <55 QuikScat & SeaWinds 0<U 10 <55 data & model function R. A. Brown 2003 U. Concepci Ó n

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. Concepci Ó n

13 The surface layer relation, hence U 10 {u*(  o ) }works well There is almost no surface truth buoy or GCM surface winds with U 10 > 25 m/s The U 10 model function can be extrapolated to about 40 m/s There are indications that  o responds to the sea state for U 10 >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) CONCLUSIONS R. A. Brown 2003 U. Concepci Ó n

14 The PBL relation V G {U 10 [u*(  o )] } works well Scatterometer derived pressure fields can be used to choose the best direction ambiguity, substitute an average U 10 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 CONCLUSIONS R. A. Brown 2003 U. Concepci Ó n

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

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

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22 Storms & Fronts Analyses R. A. Brown 2003 U. Concepci Ó n

23 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 The Gradient Wind Correction 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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