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Total column water vapor retrieval for Global Ozone Monitoring Experience-2 (GOME-2) visible blue observations

Chan, Ka Lok and Valks, P. and Slijkhuis, S. and Köhler, C. and Loyola, D. (2020) Total column water vapor retrieval for Global Ozone Monitoring Experience-2 (GOME-2) visible blue observations. Atmospheric Measurement Techniques (AMT), 13 (8), pp. 4169-4193. Copernicus Publications. doi: 10.5194/amt-13-4169-2020. ISSN 1867-1381.

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Official URL: https://amt.copernicus.org/articles/13/4169/2020/


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 European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Metop satellites. The blue band algorithm allows the retrieval of water vapor from sensors which do not cover longer wavelengths, such as the 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 columns 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 the 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 it 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.

Item URL in elib:https://elib.dlr.de/136285/
Document Type:Article
Title:Total column water vapor retrieval for Global Ozone Monitoring Experience-2 (GOME-2) visible blue observations
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Chan, Ka LokKa.Chan (at) dlr.deUNSPECIFIED
Valks, P.pieter.valks (at) dlr.deUNSPECIFIED
Slijkhuis, S.Sander.Slijkhuis (at) dlr.deUNSPECIFIED
Köhler, C.Claas.Koehler (at) dlr.deUNSPECIFIED
Loyola, D.Diego.Loyola (at) dlr.deUNSPECIFIED
Date:7 August 2020
Journal or Publication Title:Atmospheric Measurement Techniques (AMT)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.5194/amt-13-4169-2020
Page Range:pp. 4169-4193
Publisher:Copernicus Publications
Keywords:water vapor. GOME2, blue band
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):Vorhaben Spectroscopic Methods in Remote Sensing (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Remote Sensing Technology Institute > Experimental Methods
Deposited By: Chan, Ka Lok
Deposited On:09 Oct 2020 09:05
Last Modified:15 Jul 2021 16:26

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