Error consistency analysis scheme for infrared ultraspectral sounding retrieval error budget estimation

Authors

Daniel K. Zhou, NASA Langley Research Center, Hampton, VA
Allen M. Larar, NASA Langley Research Center, Hampton, VA
Xu Liu, NASA Langley Research Center, Hampton, VA
William L. Smith, Hampton University
L. Larrabee Strow, University of Maryland–Baltimore County

Date of this Version

2013

Citation

Remote Sensing Letters Vol. 4, No. 3, March 2013, 219–227

Comments

U.S. Government Work

Abstract

Great effort has been devoted towards validating geophysical parameters retrieved from ultraspectral infrared radiances obtained from satellite remote sensors. An error consistency analysis scheme (ECAS), utilizing fast radiative transfer model (RTM) forward and inverse calculations, has been developed to estimate the error budget in terms of mean difference and standard deviation of error in both spectral radiance and retrieval domains. The retrieval error is assessed through ECAS without relying on other independent measurements such as radiosonde data. ECAS establishes a link between the accuracies of radiances and retrieved geophysical parameters. ECAS can be applied to measurements from any ultraspectral instrument and any retrieval scheme with its associated RTM. In this manuscript, ECAS is described and demonstrated with measurements from the MetOp-A satellite Infrared Atmospheric Sounding Interferometer (IASI). This scheme can be used together with other validation methodologies to give a more definitive characterization of the error and/or uncertainty of geophysical parameters retrieved from ultraspectral radiances observed from current and future satellite remote sensors such as IASI, the Atmospheric Infrared Sounder (AIRS), and the Cross-track Infrared Sounder (CrIS).