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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 12, issue 1
Atmos. Meas. Tech., 12, 371-388, 2019
https://doi.org/10.5194/amt-12-371-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 371-388, 2019
https://doi.org/10.5194/amt-12-371-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 18 Jan 2019

Research article | 18 Jan 2019

The Advanced Infra-Red WAter Vapour Estimator (AIRWAVE) version 2: algorithm evolution, dataset description and performance improvements

Elisa Castelli et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Elisa Castelli on behalf of the Authors (11 Oct 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (12 Oct 2018) by Helen Worden
RR by Anonymous Referee #2 (01 Nov 2018)
ED: Publish subject to minor revisions (review by editor) (01 Nov 2018) by Helen Worden
AR by Elisa Castelli on behalf of the Authors (16 Nov 2018)  Author's response    Manuscript
ED: Publish as is (25 Nov 2018) by Helen Worden
Publications Copernicus
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Short summary
The total column water vapour (TCWV) is a key atmospheric variable. The AIRWAVE (Advanced Infra-Red WAter Vapour Estimator) v1 algorithm was developed to retrieve TCWV from satellite measurements. Comparisons with independent TCWV show good agreement with an overall bias of 0.72 kg m−2 due to the polar and coastal regions. Here, we describe the AIRWAVEv2 dataset, which shows significant improvements with a global bias of 0.02 kg m−2. This dataset was used to produce a climatology from 1991 to 2012.
The total column water vapour (TCWV) is a key atmospheric variable. The AIRWAVE (Advanced...
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