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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/amt-2020-96
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-96
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 23 Mar 2020

Submitted as: research article | 23 Mar 2020

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This preprint is currently under review for the journal AMT.

Total column water vapor retrieval for GOME-2 visible blue observations

Ka Lok Chan, Pieter Valks, Sander Slijkhuis, Claas Köhler, and Diego Loyola Ka Lok Chan et al.
  • Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany

Abstract. We present a new total column water vapor (TCWV) retrieval algorithm in the visible blue spectral band for the Global Ozone Monitoring Experience 2 (GOME-2) instruments on board the EUMETSAT MetOp satellites. The blue band algorithm allows retrieval of water vapor from sensors which do not cover longer wavelengths, such as Ozone Monitoring Instrument (OMI) and the Copernicus atmospheric composition missions Sentinel-5 Precursor (S5P), Sentinel-4 (S4) and Sentinel-5 (S5). The blue band algorithm uses the differential optical absorption spectroscopic (DOAS) technique to retrieve water vapor slant columns. The measured water vapor slant columns are converted to vertical column using air mass factors (AMFs). The new algorithm has an iterative optimization module to dynamically find the optimal a priori water vapor profile. This makes it better suited for climate studies than usual satellite retrievals with static a priori or vertical profile information from chemistry transport model (CTM). The dynamic a priori algorithm makes use of the fact that the vertical distribution of water vapor is strongly correlated to the total column. The new algorithm is applied to GOME-2A and GOME-2B observations to retrieve TCWV. The data set is validated by comparing to the operational product retrieved in the red spectral band, sun-photometer and radiosonde measurements. Water vapor columns retrieved in the blue band are in good agreement with the other data sets, indicating that the new algorithm derives precise results, and can be used for the current and forthcoming Copernicus Sentinel missions S4 and S5.

Ka Lok Chan et al.

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Status: open (until 18 May 2020)
Status: open (until 18 May 2020)
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  • RC1: 'review', Anonymous Referee #1, 26 Mar 2020 Printer-friendly Version

Ka Lok Chan et al.

Ka Lok Chan et al.

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Short summary
The manuscript presents a new water vapor retrieval algorithm in the blue spectral band for the GOME-2 satellite instruments. The new retrieval is featured with a dynamic a priori optimization module which makes it less dependent on input from chemistry transport model and better suited for climate studies. As the blue wavelength band is available to various satellite, retrieving water vapor in the blue band potentially extends the water vapor climate record.
The manuscript presents a new water vapor retrieval algorithm in the blue spectral band for the...
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