Data processing pipeline for a time-sampled imaging Fourier transform spectrometer

2004 ◽  
Author(s):  
David A. Naylor ◽  
Trevor R. Fulton ◽  
Peter W. Davis ◽  
Ian M. Chapman ◽  
Brad G. Gom ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Data Processing ◽  
Fourier Transform Spectrometer ◽  
Processing Pipeline

scholarly journals The data processing pipeline for the Herschel/SPIRE imaging Fourier Transform Spectrometer

2008 ◽  
Author(s):  
Trevor R. Fulton ◽  
David A. Naylor ◽  
Jean-Paul Baluteau ◽  
Matt Griffin ◽  
Peter Davis-Imhof ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Data Processing ◽  
Fourier Transform Spectrometer ◽  
Processing Pipeline

scholarly journals The data processing pipeline for theHerschelSPIRE Fourier Transform Spectrometer

2016 ◽  
Vol 458 (2) ◽  
pp. 1977-1989 ◽  
Author(s):  
T. Fulton ◽  
D. A. Naylor ◽  
E. T. Polehampton ◽  
I. Valtchanov ◽  
R. Hopwood ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Data Processing ◽  
Fourier Transform Spectrometer ◽  
Processing Pipeline

scholarly journals The data processing pipelines for the Herschel/SPIRE imaging Fourier transform spectrometer

2010 ◽  
Author(s):  
Trevor R. Fulton ◽  
Jean-Paul Baluteau ◽  
George Bendo ◽  
Dominique Benielli ◽  
Rene Gastaud ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Data Processing ◽  
Fourier Transform Spectrometer

scholarly journals Fourier transform spectrometer measurements of column CO<sub>2</sub> at Sodankylä, Finland

2016 ◽  
Vol 5 (2) ◽  
pp. 271-279 ◽  
Author(s):  
Rigel Kivi ◽  
Pauli Heikkinen
Keyword(s):  
Time Series ◽  
Fourier Transform ◽  
Data Processing ◽  
Greenhouse Gases ◽  
Growing Season ◽  
Total Carbon ◽  
Fourier Transform Spectrometer ◽  
Annual Variability ◽  
Time Period ◽  
First Time

Abstract. Fourier transform spectrometer (FTS) observations at Sodankylä, Finland (67.4° N, 26.6° E) have been performed since early 2009. The FTS instrument is participating in the Total Carbon Column Observing Network (TCCON) and has been optimized to measure abundances of the key greenhouse gases in the atmosphere. Sodankylä is the only TCCON station in the Fennoscandia region. Here we report the measured CO2 time series over a 7-year period (2009–2015) and provide a description of the FTS system and data processing at Sodankylä. We find the lowest monthly column CO2 values in August and the highest monthly values during the February–May season. Inter-annual variability is the highest in the June–September period, which correlates with the growing season. During the time period of FTS measurements from 2009 to 2015, we have observed a 2.2 ± 0.2 ppm increase per year in column CO2. The monthly mean column CO2 values have exceeded 400 ppm level for the first time in February 2014.

scholarly journals FTS measurements of column CO<sub>2</sub> at Sodankylä

2016 ◽  
Author(s):  
R. Kivi ◽  
P. Heikkinen
Keyword(s):  
Time Series ◽  
Fourier Transform ◽  
Data Processing ◽  
Greenhouse Gases ◽  
Growing Season ◽  
Total Carbon ◽  
Fourier Transform Spectrometer ◽  
Time Period ◽  
First Time ◽  
Ppm Level

Abstract. Fourier Transform Spectrometer (FTS) observations at Sodankylä have been per formed since early 2009. The FTS instrument is participating in the Total Carbon Column Observing Network (TCCON) and has been optimized to measure abundances of the key greenhouse gases in the atmosphere. Here we report the measured CO2 time series over a six year period (2009–2014) and provide a description of the FTS system and data processing at Sodankylä. We find the lowest monthly column CO2 values in August and the highest monthly values during the February to May season. Inter-annual variability is the highest in June–September period, which correlates with the growing season. During the time period of FTS measurements from 2009 until 2014 we have observed a 2.4 &amp;pm; 0.3 ppm increase per year in column CO2. The monthly mean column CO2 values have exceeded 400 ppm level for the first time in February 2014.

scholarly journals Level 0 to 1 processing of the imaging Fourier transform spectrometer GLORIA: generation of radiometrically and spectrally calibrated spectra

2014 ◽  
Vol 7 (12) ◽  
pp. 4167-4184 ◽  
Author(s):  
A. Kleinert ◽  
F. Friedl-Vallon ◽  
T. Guggenmoser ◽  
M. Höpfner ◽  
T. Neubert ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Data Processing ◽  
Infrared Detector ◽  
Michelson Interferometer ◽  
Infrared Camera ◽  
Fourier Transform Spectrometer ◽  
Radiometric Calibration ◽  
Infrared Spectral ◽  
Research Aircraft ◽  
Intelligent Optimisation

Abstract. The Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) is an imaging Fourier transform spectrometer that is capable of operating on various high-altitude research aircraft. It measures the atmospheric emission in the thermal infrared spectral region in limb and nadir geometry. GLORIA consists of a classical Michelson interferometer combined with an infrared camera. The infrared detector has a usable area of 128 × 128 pixels, measuring up to 16 384 interferograms simultaneously. Imaging Fourier transform spectrometers impose a number of challenges with respect to instrument calibration and algorithm development. The optical setup with extremely high optical throughput requires the development of new methods and algorithms for spectral and radiometric calibration. Due to the vast amount of data there is a high demand for scientifically intelligent optimisation of the data processing. This paper outlines the characterisation and processing steps required for the generation of radiometrically and spectrally calibrated spectra. Methods for performance optimisation of the processing algorithm are presented. The performance of the data processing and the quality of the calibrated spectra are demonstrated for measurements collected during the first deployments of GLORIA on aircraft.

scholarly journals Level 0 to 1 processing of the imaging Fourier transform spectrometer GLORIA: generation of radiometrically and spectrally calibrated spectra

2014 ◽  
Vol 7 (3) ◽  
pp. 2827-2878 ◽  
Author(s):  
A. Kleinert ◽  
F. Friedl-Vallon ◽  
T. Guggenmoser ◽  
M. Höpfner ◽  
T. Neubert ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Data Processing ◽  
Infrared Detector ◽  
Michelson Interferometer ◽  
Infrared Camera ◽  
Fourier Transform Spectrometer ◽  
Radiometric Calibration ◽  
Infrared Spectral ◽  
Research Aircraft ◽  
Intelligent Optimisation

Abstract. The Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) is an imaging Fourier transform spectrometer that is capable of operating on various high altitude research aircraft. It measures the atmospheric emission in the thermal infrared spectral region in limb and nadir geometry. GLORIA consists of a classical Michelson interferometer combined with an infrared camera. The infrared detector has a usable range of 128 × 128 pixels, measuring up to 16 384 interferograms simultaneously. Imaging Fourier transform spectrometers impose a number of challenges with respect to instrument calibration and algorithm development. The innovative optical setup with extremely high optical throughput requires the development of new methods and algorithms for spectral and radiometric calibration. Due to the vast amount of data there is a high demand for scientifically intelligent optimisation of the data processing. This paper outlines the characterisation and processing steps required for the generation of radiometrically and spectrally calibrated spectra. Methods for performance optimisation of the processing algorithm are presented. The performance of the data processing and the quality of the calibrated spectra are demonstrated for measurements collected during the first deployments of GLORIA on aircraft.

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