Ultraspectral sounding retrieval error budget and estimation

Daniel K. Zhou; Allen M. Larar; Xu Liu; William L. Smith; Larrabee L. Strow; Ping Yang

doi:10.1117/12.897559

26 October 2011 Ultraspectral sounding retrieval error budget and estimation

Daniel K. Zhou, Allen M. Larar, Xu Liu, William L. Smith, Larrabee L. Strow, Ping Yang

Proceedings Volume 8177, Remote Sensing of Clouds and the Atmosphere XVI; 81770C (2011) https://doi.org/10.1117/12.897559
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

The ultraspectral infrared radiances obtained from satellite observations provide atmospheric, surface, and/or cloud information. The intent of the measurement of the thermodynamic state is the initialization of weather and climate models. Great effort has been given to retrieving and validating these atmospheric, surface, and/or cloud properties. Error Consistency Analysis Scheme (ECAS), through fast radiative transfer model (RTM) forward and inverse calculations, has been developed to estimate the error budget in terms of absolute and standard deviation of differences in both spectral radiance and retrieved geophysical parameter domains. The retrieval error is assessed through ECAS without assistance of other independent measurements such as radiosonde data. ECAS re-evaluates instrument random noise, and establishes the link between radiometric accuracy and retrieved geophysical parameter accuracy. ECAS can be applied to measurements of any ultraspectral instrument and any retrieval scheme with associated RTM. In this paper, ECAS is described and demonstration is made with the measurements of the METOP-A satellite Infrared Atmospheric Sounding Interferometer (IASI).

Citation Download Citation

Daniel K. Zhou, Allen M. Larar, Xu Liu, William L. Smith, Larrabee L. Strow, and Ping Yang "Ultraspectral sounding retrieval error budget and estimation", Proc. SPIE 8177, Remote Sensing of Clouds and the Atmosphere XVI, 81770C (26 October 2011); https://doi.org/10.1117/12.897559

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KEYWORDS

Error analysis

Satellites

Clouds

Infrared radiation

Atmospheric modeling

Calibration

Statistical analysis

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