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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
A Refinement and Cross-Validation of the Special Sensor Microwave Imager Calibration-Validation Brightness Temperature Algorithm

A Refinement and Cross-Validation of the Special Sensor Microwave Imager Calibration-Validation Brightness Temperature Algorithm

Adair, Mark R.

Paperback

Technology & EngineeringGeneral Education

ISBN10: 1249842018
ISBN13: 9781249842019
Publisher: Biblioscholar
Published: Oct 17 2012
Pages: 98
Weight: 0.33
Height: 0.20 Width: 6.14 Depth: 9.21
Language: English

The Air Force Weather Agency (AFWA) currently uses an algorithm to calculate surface temperatures from microwave observations taken by the Special Sensor Microwave Imager (SSM/I) aboard the orbiting platforms of the Defense Meteorological Satellite Program (DMSP). This algorithm, called the Calibration-Validation (CV) algorithm, uses multiple linear regression to calculate coefficients relating microwave brightness temperatures and land surface temperatures. Because the coefficients in this algorithm do not take into account the identity of the individual satellite, the question arose whether this assumption was valid. This thesis used multiple linear regression, stepwise linear regression, and qualitative regression on 3700 data sets from October of 1996 and September of 1997, including microwave brightness temperatures from three satellites. This data was analyzed to determine if satellite identity had a significant impact on CV regression coefficients. Analysis indicated that satellite identity does not have a significant impact on regression coefficients for five of the eight CV land types investigated.

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