Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/6206
Determination of the best optimal estimation parameters for validation of infrared hyperspectral sounding retrievals
Título : Determination of the best optimal estimation parameters for validation of infrared hyperspectral sounding retrievals
Autor : Calbet, Xavier
Palabras clave : Remote sensing; Observing satellites; Atmospheric profiles; IASI sensor; Hyperspectral infrared sounders; Sensor IASI; Observación de satélite; Teledetección
Fecha de publicación : 2012
Versión del editor: http://arxiv.org/abs/1205.3012v1
Resumen : The availability of hyperspectral infrared remote sensing instruments, like AIRS and IASI, on board of Earth observing satellites opens the possibility of obtaining high vertical resolution atmospheric profiles. We present an objective and simple technique to derive the parameters used in the optimal estimation method that retrieve atmospheric states from the spectra. The retrievals obtained in this way are optimal in the sense of providing the best possible validation statistics obtained from the difference between retrievals and a chosen calibration/validation dataset of atmospheric states. This is demonstrated analytically. To illustrate this result several real world examples using IASI retrievals fine tuned to ECMWF analyses are shown. The analytical equations obtained give further insight into the various contributions to the biases and errors of the retrievals and the consequences of using other types of fine tuning. Retrievals using IASI show an error of 0.9 to 1.9 K in temperature and below 6.5 K in humidity dew point temperature in the troposphere on the vertical radiative transfer model pressure grid (RTIASI-4.1), which has a vertical spacing between 300 and 400 m. The more accurately the calibration dataset represents the true state of the atmosphere, the better the retrievals will be when compared to the true states.
URI : http://hdl.handle.net/20.500.11765/6206
Colecciones: Artículos científicos 2010-2014


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