Approach for obtaining best estimates of spectral optical depths and calibration intercepts from solar radiometer data corrupted by temporal variations

Wayne H. Erxleben; John A. Reagan

Approach for obtaining best estimates of spectral optical depths and calibration intercepts from solar radiometer data corrupted by temporal variations

Wayne H. Erxleben, John A. Reagan

Electrical and Computer Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

Calibration of solar radiometers is generally accomplished by the Langley plot method; however, slight temporal variations in optical depth can significantly bias zero-airmass intercepts thus derived. This paper presents signal processing techniques for improving the Langley analysis under temporally varying conditions, as well as better characterizing the variability itself. These techniques include spectral analysis of the data to identify systematic atmospheric variations and distinguish them from measurement noise, and exploitation of the correlation between measurements at different wavelengths and on different days. The processing is applied to data from an automated 10-channel radiometer.

Original language	English (US)
Pages	1014-1016
Number of pages	3
State	Published - 1996
Event	Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) - Lincoln, NE, USA Duration: May 28 1996 → May 31 1996

Other

Other	Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4)
City	Lincoln, NE, USA
Period	5/28/96 → 5/31/96

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Cite this

Approach for obtaining best estimates of spectral optical depths and calibration intercepts from solar radiometer data corrupted by temporal variations. / Erxleben, Wayne H.; Reagan, John A.
1996. 1014-1016 Paper presented at Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4), Lincoln, NE, USA.

Research output: Contribution to conference › Paper › peer-review

@conference{d5d43d9bcf064c9ba7873767e8b255b0,

title = "Approach for obtaining best estimates of spectral optical depths and calibration intercepts from solar radiometer data corrupted by temporal variations",

abstract = "Calibration of solar radiometers is generally accomplished by the Langley plot method; however, slight temporal variations in optical depth can significantly bias zero-airmass intercepts thus derived. This paper presents signal processing techniques for improving the Langley analysis under temporally varying conditions, as well as better characterizing the variability itself. These techniques include spectral analysis of the data to identify systematic atmospheric variations and distinguish them from measurement noise, and exploitation of the correlation between measurements at different wavelengths and on different days. The processing is applied to data from an automated 10-channel radiometer.",

author = "Erxleben, {Wayne H.} and Reagan, {John A.}",

year = "1996",

language = "English (US)",

pages = "1014--1016",

note = "Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) ; Conference date: 28-05-1996 Through 31-05-1996",

}

TY - CONF

T1 - Approach for obtaining best estimates of spectral optical depths and calibration intercepts from solar radiometer data corrupted by temporal variations

AU - Erxleben, Wayne H.

AU - Reagan, John A.

PY - 1996

Y1 - 1996

N2 - Calibration of solar radiometers is generally accomplished by the Langley plot method; however, slight temporal variations in optical depth can significantly bias zero-airmass intercepts thus derived. This paper presents signal processing techniques for improving the Langley analysis under temporally varying conditions, as well as better characterizing the variability itself. These techniques include spectral analysis of the data to identify systematic atmospheric variations and distinguish them from measurement noise, and exploitation of the correlation between measurements at different wavelengths and on different days. The processing is applied to data from an automated 10-channel radiometer.

AB - Calibration of solar radiometers is generally accomplished by the Langley plot method; however, slight temporal variations in optical depth can significantly bias zero-airmass intercepts thus derived. This paper presents signal processing techniques for improving the Langley analysis under temporally varying conditions, as well as better characterizing the variability itself. These techniques include spectral analysis of the data to identify systematic atmospheric variations and distinguish them from measurement noise, and exploitation of the correlation between measurements at different wavelengths and on different days. The processing is applied to data from an automated 10-channel radiometer.

UR - http://www.scopus.com/inward/record.url?scp=0029724238&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029724238&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0029724238

SP - 1014

EP - 1016

T2 - Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4)

Y2 - 28 May 1996 through 31 May 1996

ER -

Approach for obtaining best estimates of spectral optical depths and calibration intercepts from solar radiometer data corrupted by temporal variations

Abstract

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this