The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H<sub>2</sub>O columns from GOME, SCIAMACHY, and GOME-2

We present time series of the global distribution of water vapor columns over more than 2 decades based on measurements from the satellite instruments GOME, SCIAMACHY, and GOME-2 in the red spectral range. A particular focus is the consistency amongst the different sensors to avoid jumps from on...

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Main Authors: S. Beirle, J. Lampel, Y. Wang, K. Mies, S. Dörner, M. Grossi, D. Loyola, A. Dehn, A. Danielczok, M. Schröder, T. Wagner
Format: Article
Language:English
Published: Copernicus Publications 2018-03-01
Series:Earth System Science Data
Online Access:https://www.earth-syst-sci-data.net/10/449/2018/essd-10-449-2018.pdf
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author S. Beirle
J. Lampel
J. Lampel
Y. Wang
K. Mies
S. Dörner
M. Grossi
D. Loyola
A. Dehn
A. Danielczok
M. Schröder
T. Wagner
author_facet S. Beirle
J. Lampel
J. Lampel
Y. Wang
K. Mies
S. Dörner
M. Grossi
D. Loyola
A. Dehn
A. Danielczok
M. Schröder
T. Wagner
author_sort S. Beirle
collection DOAJ
description We present time series of the global distribution of water vapor columns over more than 2 decades based on measurements from the satellite instruments GOME, SCIAMACHY, and GOME-2 in the red spectral range. A particular focus is the consistency amongst the different sensors to avoid jumps from one instrument to another. This is reached by applying robust and simple retrieval settings consistently. Potentially systematic effects due to differences in ground pixel size are avoided by merging SCIAMACHY and GOME-2 observations to GOME spatial resolution, which also allows for a consistent treatment of cloud effects. In addition, the GOME-2 swath is reduced to that of GOME and SCIAMACHY to have consistent viewing geometries.<br><br>Remaining systematic differences between the different sensors are investigated during overlap periods and are corrected for in the homogenized time series. The resulting <q>Climate</q> product v2.2 (<a href="https://doi.org/10.1594/WDCC/GOME-EVL_water_vapor_clim_v2.2" target="_blank">https://doi.org/10.1594/WDCC/GOME-EVL_water_vapor_clim_v2.2</a>) allows the study of the temporal evolution of water vapor over the last 20 years on a global scale.
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spelling doaj.art-7d3302c1743c44ce9763d9762ef22f1e2022-12-21T19:11:14ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162018-03-011044946810.5194/essd-10-449-2018The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H<sub>2</sub>O columns from GOME, SCIAMACHY, and GOME-2S. Beirle0J. Lampel1J. Lampel2Y. Wang3K. Mies4S. Dörner5M. Grossi6D. Loyola7A. Dehn8A. Danielczok9M. Schröder10T. Wagner11Max-Planck-Institut für Chemie (MPI-C), Mainz, GermanyMax-Planck-Institut für Chemie (MPI-C), Mainz, Germanynow at: Institut für Umweltphysik (IUP), Universität Heidelberg, Heidelberg, GermanyMax-Planck-Institut für Chemie (MPI-C), Mainz, GermanyMax-Planck-Institut für Chemie (MPI-C), Mainz, GermanyMax-Planck-Institut für Chemie (MPI-C), Mainz, GermanyGerman Aerospace Centre (DLR), Remote Sensing Technology Institute, Oberpfaffenhofen, GermanyGerman Aerospace Centre (DLR), Remote Sensing Technology Institute, Oberpfaffenhofen, GermanyEuropean Space Agency (ESA), ESRIN, Frascati, ItalyDeutscher Wetterdienst (DWD), Offenbach, GermanyDeutscher Wetterdienst (DWD), Offenbach, GermanyMax-Planck-Institut für Chemie (MPI-C), Mainz, GermanyWe present time series of the global distribution of water vapor columns over more than 2 decades based on measurements from the satellite instruments GOME, SCIAMACHY, and GOME-2 in the red spectral range. A particular focus is the consistency amongst the different sensors to avoid jumps from one instrument to another. This is reached by applying robust and simple retrieval settings consistently. Potentially systematic effects due to differences in ground pixel size are avoided by merging SCIAMACHY and GOME-2 observations to GOME spatial resolution, which also allows for a consistent treatment of cloud effects. In addition, the GOME-2 swath is reduced to that of GOME and SCIAMACHY to have consistent viewing geometries.<br><br>Remaining systematic differences between the different sensors are investigated during overlap periods and are corrected for in the homogenized time series. The resulting <q>Climate</q> product v2.2 (<a href="https://doi.org/10.1594/WDCC/GOME-EVL_water_vapor_clim_v2.2" target="_blank">https://doi.org/10.1594/WDCC/GOME-EVL_water_vapor_clim_v2.2</a>) allows the study of the temporal evolution of water vapor over the last 20 years on a global scale.https://www.earth-syst-sci-data.net/10/449/2018/essd-10-449-2018.pdf
spellingShingle S. Beirle
J. Lampel
J. Lampel
Y. Wang
K. Mies
S. Dörner
M. Grossi
D. Loyola
A. Dehn
A. Danielczok
M. Schröder
T. Wagner
The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H<sub>2</sub>O columns from GOME, SCIAMACHY, and GOME-2
Earth System Science Data
title The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H<sub>2</sub>O columns from GOME, SCIAMACHY, and GOME-2
title_full The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H<sub>2</sub>O columns from GOME, SCIAMACHY, and GOME-2
title_fullStr The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H<sub>2</sub>O columns from GOME, SCIAMACHY, and GOME-2
title_full_unstemmed The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H<sub>2</sub>O columns from GOME, SCIAMACHY, and GOME-2
title_short The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H<sub>2</sub>O columns from GOME, SCIAMACHY, and GOME-2
title_sort esa gome evolution climate water vapor product a homogenized time series of h sub 2 sub o columns from gome sciamachy and gome 2
url https://www.earth-syst-sci-data.net/10/449/2018/essd-10-449-2018.pdf
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