Journal of Geophysical Research: Atmospheres

Correction to “Overview and characterization of retrievals of temperature, pressure, and atmospheric constituents from High Resolution Dynamics Limb Sounder (HIRDLS) measurements”

Authors

  • Rashid Khosravi,

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  • Alyn Lambert,

  • Hyunah Lee,

  • John Gille,

  • John Barnett,

  • Gene Francis,

  • David Edwards,

  • Chris Halvorson,

  • Steve Massie,

  • Cheryl Craig,

  • Charles Krinsky,

  • Joe McInerney,

  • Ken Stone,

  • Thomas Eden,

  • Bruno Nardi,

  • Christopher Hepplewhite,

  • William Mankin,

  • Michael Coffey

Errata

This article corrects:

  1. Overview and characterization of retrievals of temperature, pressure, and atmospheric constituents from the High Resolution Dynamics Limb Sounder (HIRDLS) measurements Volume 114, Issue D20, Article first published online: 23 October 2009

[1] In the paper “Overview and characterization of retrievals of temperature, pressure, and atmospheric constituents from High Resolution Dynamics Limb Sounder (HIRDLS) measurements” by R. Khosravi et al. (Journal of Geophysical Research, 114, D20304, doi:10.1029/2009JD011937), errors were introduced in the HTML version during the production process prior to publication. In equation (1) and Table 3, occurrences of matrix Sa were incorrectly printed as image The correct versions of equation (1) and Table 3 are provided here.

equation image
Table 3. Construction of Covariance Matrices for the Error Sources in the HIRDLS Retrieval Algorithm V004a
Error CovarianceDiagonal ElementsOff-Diagonal Elements
  • a

    For Sa, the diagonal elements represent the variances of the a priori data (square of the standard deviations). For pressure, trace gases, and aerosol extinction, the a priori errors are constructed so as to give the stated standard deviations relative to the a priori data. For example, for an a priori ozone mixing ratio of 6 ppmv, the corresponding error is constructed to be 18 ppmv, yielding a standard deviation of 3 (300%). Large values are selected for the diagonal elements to allow the retrieval ample freedom to arrive at a solution dominated by the observed radiances. For the off-diagonal elements, l is the covariance length, taken to be 5 km for T and trace gases and 1 km for aerosol extinction. Detector noise is based on calibration data (T. Eden Jr. et al., Radiometric calibration of the HIRDLS flight instrument from pre-launch calibration data, submitted to IEEE Transactions on Geoscience and RemoteSensing, 2009), scaled by the unobstructed area of the aperture.

a priori (Sa)(20K)2 … temperatureequation imageexp(−∣zizj∣/l)
(0.75)2 … pressure
(3)2 … trace gases
(10)2 … aerosol extinction
Forward Model (Sf′)(0.3% * Forward Model Rad)20
Measurement (Sy)(Radiometric Detector Noise)2 + (Pointing Jitter Noise)20

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