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Instrument Accuracy Analysis

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Presentation on theme: "Instrument Accuracy Analysis"— Presentation transcript:

1 Instrument Accuracy Analysis
OC 3570 NPS, Summer 2009 LT R.G. Ingersoll

2 Context & Motivation J.C. Stennis Rockwater II

3 Matlab Data Matrix for SST Vectors: Data points = 01- 91

4 SST Vectors Data points 01-91: Blk=Mrad, Grn=Hrad, Red=Intk, Blue=Boom

5 SST Vectors 1-91: Red=Intk, Blue=Boom

6 Curve Fitting Method – Matlab Tools, “Linear”

7 SST Vectors 1-91: Scatter: Intk, Boom

8 SST Vectors 1-91: Red=Intk, Blue=Boom

9 SST Vectors Data points 01-91: Blk=Mrad, Grn=Hrad, Red=Intk, Blue=Boom

10 SST Vectors 1-91: Red=Hrad, Blue=Boom

11 SST Vectors 1-91: Scatter: Hrad, Boom

12 SST Vectors Data points 01-91: Blk=Mrad, Grn=Hrad, Red=Intk, Blue=Boom

13 SST Vectors 1-91: Red=Mrad, Blue=Boom

14 SST Vectors 1-91: Scatter: Mrad, Boom

15 SST Vectors 1-91: Red=MradTrans, Blue=Boom

16 Considerations about cloud cover
PDT SkyCon

17 SST Vectors 1-91: Red=MradTrans, Blue=Boom
Mrad less than Boom in each case 25/00Z 27/00Z 28/00Z

18 SST Vectors 1-91: Red=Intk, Blue=Boom, Grn=Mrad-sky
25/00Z 27/00Z 28/00Z

19 Heat Flux Trends 25/00Z 27/00Z 28/00Z

20 Correction for IR radiometer sensors

21 SST Vectors Data points 01-91: Blk=Mrad, Grn=Hrad, Red=Intk, Blue=Boom
Hrad too erratic for use

22 Conclusions Human error effects Sensor specific vulnerabilities
Corrections possible (Y/N?)


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