NPP ATMS sensor model using fractional Brownian motion and thermal vacuum data

Author

Leslie, R. Vincent ; Blackwell, William J. ; DiLiberto, Michael ; Tolman, Mark

Author_Institution

Lincoln Lab., Massachusetts Inst. of Technol., Lexington, MA, USA

fYear

2011

fDate

24-29 July 2011

Firstpage

2237

Lastpage

2240

Abstract

Radiometric digital count data are required to test the operational software of the Advanced Technology Microwave Sounder (ATMS) prior to its launch in 2011 to verify effective calibration procedures and optimize performance. These data, however, do not exist prior to launch, thus necessitating a method to build a model of the ATMS that synthesizes realistic data as though the sensor were space-borne. A method to build such a model is described in this paper. The procedure and application are specific to the ATMS but could be applied to other passive microwave radiometers as well.

Keywords

Brownian motion; calibration; geophysical equipment; radiometers; AD 2011; Advanced Technology Microwave Sounder; NPP ATMS sensor model; calibration procedures; fractional Brownian motion; passive microwave radiometers; radiometric digital count data; thermal vacuum data; Asynchronous transfer mode; Brightness temperature; Calibration; Data models; Noise; Radiometers; Temperature measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049614

Filename

6049614