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R. A. Brown 2007 Snowmass Lidar. R. A. Brown 2003 U. Concepci Ó n.

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Presentation on theme: "R. A. Brown 2007 Snowmass Lidar. R. A. Brown 2003 U. Concepci Ó n."— Presentation transcript:

1 R. A. Brown 2007 Snowmass Lidar

2 R. A. Brown 2003 U. Concepci Ó n

3 ASCAT on MetOp 2007 - 2019

4 R. A. Brown 2007

5 Dashed: ECMWF J. Patoux & R. A. Brown

6 Raw scatterometer winds UW Pressure field smoothed JPL Project Local GCM nudge smoothed = Dirth (with ECMWF fields) (JPL) R. A. Brown 2007

7 NCEP real time forecasts use PBL model Even the best NCEP analysis, used as the first guess in the real time forecasts, is improved with the QuikScat surface pressure analyses. (Yes, this includes hurricanes.) R. A. Brown 2007 Snowmass Lidar

8 OPC Sfc Analysis and IR Satellite Image 10 Jan 2005 0600 UTCUWPBL 10 Jan 2005 0600 UTC ab cd QuikSCAT 10 Jan 2005 0709 UTC 991 982 996 999 984 This example is from 10 January 2005 0600UTC. Numerical guidance from the 0600UTC GFS model run (a) indicated a 999 hPa low at 43N, 162E. QuikScat winds (b) suggested strong lows --- OPC analysis uses 996. UW-PBL analysis indicates 982. GFS Sfc Analysis 10 Jan 2005 0600 UTC

9 Observations from Senate hearings, 7-11-07 * NPOESS was/is a mess. Senators’ comments: “A hydra headed monster” “Can’t decide anything” “Is the administration serious about getting this information?” A senator or congressman can speak more freely than a government scientist A Univ. Professor can speak more freely…. A parrot can…… Bill Porenza was right! (Q.E.D. above.) Mike Freilich now wears a NASA hat The ‘Follow-on’ awaits new money + 5-years. (+ A new administration.) Thus Quikscat must last until 2013, the earliest date for a NASA follow-on R. A. Brown 2007 Snowmass Lidar

10 R. A. Brown 2007 RIP (USA)

11 SeaSat 1978 ERS -1 1991-95 ERS-2 1995-2001 NSCAT 1996-97 QuickScat 1999 - SeaWinds1 1998-1998 SeaWinds2 2002 - 2002 ASCAT 2007- R. A. Brown 2003 U. Concepci Ó n ERS-2 1995-2001; 2003 -

12 Someone who makes money off Oil? I first suggested this conspiracy as fiction in a novel, then as a 'far-out' idea to the working groups. Since then so many things have fit, and so much positive feedback has arisen, supporting a conspiracy campaign that I'm beginning to believe it is true. One of the most believable aspects involves the hypothesized decision by the energy moguls in 1978 to fight global warming science and all alternate energy solutions. They were immediately successful in 1980 when Reagan removed the solar panels on the white house installed by Carter and subsequently eliminated all subsidies to alternate energies. This alone set the US back 20-years.Two more decades of control and trillions of dollars more to the conspirators. With the advent of the current president, and the right-wing conservative majorities in the house, senate, executive and judicial branches, the conspirators clearly accomplished their goal. See: PBL.atmos.washington.edu; new papers R. A. Brown 2007 Snowmass Lidar

13 Definition of Follow-on: It happens at some unspecified time after the original dies R. A. Brown 2007 Snowmass Lidar

14 A rotating, multi-freequency, SAR- scatterometer-radiometer plus lidar

15 Or

16 On the Positive side Big plans: a dual frequency scatterometer, high resolution, high and low winds, rotating coverage; possibly integrated SAR Support from a new administration in 2008 (Hence Freilich’s 2013) Don Quixote believes a lidar is coming. I’m retiring (to 1%, for lidar). You are still members of the dominant species on this hunk of dirt! (Panzaic Plea) R. A. Brown 2007 Snowmass Lidar

17 Station B 2 - 5 km Taking measurements in the Rolls with Tower, Sondes & Lidar from space Station A 1-km RABrown 9/2001 Lidar

18 Programs and Fields available on http://pbl.atmos.washington.edu Questions to rabrown, Ralph or jerome @atmos.washington.edu Direct PBL model: PBL_LIB. (’75 -’05) An analytic solution for the PBL flow with rolls, U(z) = f(  P,  T o,  T a, ) The Inverse PBL model: Takes U 10 field and calculates surface pressure field  P (U 10,  T o,  T a, ) (1986 - 2005) Pressure fields directly from the PMF:  P (  o ) along all swaths (exclude 0 -  5° lat.?) (2001) (dropped in favor of I-PBL) Global swath pressure fields for QuikScat swaths (with global I- PBL model) (2005) Surface stress fields from PBL_LIB corrected for stratification effects along all swaths (2006) R. A. Brown 2007

19 U V OLE    Hodograph from center zone Station B Z/  Lateral Motion of OLE 1-2 m/s near neutral 0 convective R.A. Brown 2000

20 U V    Hodograph from convergent zone Station A 1 km OLE 1- 3 km Counter-rotating Helical Roll Vortices R.A. Brown 2000

21 ECMWF analysis QuikScat analysis Surface Pressures J. Patoux & R. A. Brown

22 R. A. Brown 2007 Snowmass Lidar They like to study global warming, strong hurricanes, tornados, new events

23 SLP from Surface Winds UW PBL similarity model joins two layers: Use “inverse” PBL model to estimate from satellite. Get non-divergent field U G N. Use Least-Square optimization to find best fit SLP to swaths There is extensive verification from ERS-1/2, NSCAT, QuikSCAT (U G N ) UGUG R. A. Brown 2006 AMS


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