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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Copernicus Publications
2018-03-01
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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. |
first_indexed | 2024-12-21T07:43:58Z |
format | Article |
id | doaj.art-7d3302c1743c44ce9763d9762ef22f1e |
institution | Directory Open Access Journal |
issn | 1866-3508 1866-3516 |
language | English |
last_indexed | 2024-12-21T07:43:58Z |
publishDate | 2018-03-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Earth System Science Data |
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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