Consistency in the long-term environmental measurements with NOAA Advanced Very High Resolution Radiometer

Pubu Ciren; Changyong Cao; Jerry Sullivan

doi:10.1117/12.680622

27 September 2006 Consistency in the long-term environmental measurements with NOAA: Advanced Very High Resolution Radiometer

Pubu Ciren, Changyong Cao, Jerry Sullivan

Author Affiliations +

Proceedings Volume 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III; 629810 (2006) https://doi.org/10.1117/12.680622
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

Lone-term satellite observations, such as Advanced Very High Resolution Radiometer (AVHRR), provide an irreplaceable means in monitoring Earth system through a series of satellites. However, to be able to detect the signal related to climate change, one of the critical requirements is the consistency and stability of calibration among the satellites. Applying Simultaneous Nadir Overpass (SNOs) method (Cao et al., 2002)., we fully accessed instrument-related consistency of AVHRR measurements covering all channels (from visible to IR) and time period from 1978 to 2003. It is seen that the inter-satellite biases in visible channels (channel 1 and 2) show larger inconsistency among satellites especially between NOAA-14 and NOAA-12. The inconsistency is shown as both the large bias and trend in the biases, mostly due to the lack of onboard calibration. Comparatively, the biases in IR channels, i.e., channel 4 and 5 are generally smaller, there are within ± 1 k. However, the difference in the magnitude of the biases among satellites and the dependence of biases on the scene temperature may affect the quality of long term trend derived from such dataset. Analyses of bias root causes indicate that the effect from the difference in Spectral Response Function may not be large enough to account for the observed biases.

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Pubu Ciren, Changyong Cao, and Jerry Sullivan "Consistency in the long-term environmental measurements with NOAA: Advanced Very High Resolution Radiometer", Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 629810 (27 September 2006); https://doi.org/10.1117/12.680622

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