Analysis of global water vapour trends from satellite measurements in the visible spectral range
International audience Global water vapour total column amounts have been retrieved from spectral data provided by the Global Ozone Monitoring Experiment (GOME) flying on ERS-2, which was launched in April 1995, and the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY...
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ftinsu:oai:HAL:hal-00296430v1 2023-11-12T04:17:59+01:00 Analysis of global water vapour trends from satellite measurements in the visible spectral range Mieruch, S. Noël, S. Bovensmann, H. Burrows, J. P. Institute of Environmental Physics Bremen (IUP) University of Bremen 2008-02-06 https://hal.science/hal-00296430 https://hal.science/hal-00296430/document https://hal.science/hal-00296430/file/acp-8-491-2008.pdf en eng HAL CCSD European Geosciences Union hal-00296430 https://hal.science/hal-00296430 https://hal.science/hal-00296430/document https://hal.science/hal-00296430/file/acp-8-491-2008.pdf info:eu-repo/semantics/OpenAccess ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://hal.science/hal-00296430 Atmospheric Chemistry and Physics, 2008, 8 (3), pp.491-504 [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2008 ftinsu 2023-10-25T16:29:16Z International audience Global water vapour total column amounts have been retrieved from spectral data provided by the Global Ozone Monitoring Experiment (GOME) flying on ERS-2, which was launched in April 1995, and the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) onboard ENVISAT launched in March 2002. For this purpose the Air Mass Corrected Differential Optical Absorption Spectroscopy (AMC-DOAS) approach has been used. The combination of the data from both instruments provides us with a long-term global data set spanning more than 11 years with the potential of extension up to 2020 by GOME-2 data on MetOp. Using linear and non-linear methods from time series analysis and standard statistics the trends of H 2 O columns and their errors have been calculated. In this study, factors affecting the trend such as the length of the time series, the magnitude of the variability of the noise, and the autocorrelation of the noise are investigated. Special emphasis has been placed on the calculation of the statistical significance of the observed trends, which reveal significant local changes from ?5% per year to +5% per year. These significant trends are distributed over the whole globe. Increasing trends have been calculated for Greenland, East Europe, Siberia and Oceania, whereas decreasing trends have been observed for the northwest USA, Central America, Amazonia, Central Africa and the Arabian Peninsular. Article in Journal/Newspaper Greenland Siberia Institut national des sciences de l'Univers: HAL-INSU Greenland |
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Institut national des sciences de l'Univers: HAL-INSU |
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language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
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[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Mieruch, S. Noël, S. Bovensmann, H. Burrows, J. P. Analysis of global water vapour trends from satellite measurements in the visible spectral range |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience Global water vapour total column amounts have been retrieved from spectral data provided by the Global Ozone Monitoring Experiment (GOME) flying on ERS-2, which was launched in April 1995, and the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) onboard ENVISAT launched in March 2002. For this purpose the Air Mass Corrected Differential Optical Absorption Spectroscopy (AMC-DOAS) approach has been used. The combination of the data from both instruments provides us with a long-term global data set spanning more than 11 years with the potential of extension up to 2020 by GOME-2 data on MetOp. Using linear and non-linear methods from time series analysis and standard statistics the trends of H 2 O columns and their errors have been calculated. In this study, factors affecting the trend such as the length of the time series, the magnitude of the variability of the noise, and the autocorrelation of the noise are investigated. Special emphasis has been placed on the calculation of the statistical significance of the observed trends, which reveal significant local changes from ?5% per year to +5% per year. These significant trends are distributed over the whole globe. Increasing trends have been calculated for Greenland, East Europe, Siberia and Oceania, whereas decreasing trends have been observed for the northwest USA, Central America, Amazonia, Central Africa and the Arabian Peninsular. |
author2 |
Institute of Environmental Physics Bremen (IUP) University of Bremen |
format |
Article in Journal/Newspaper |
author |
Mieruch, S. Noël, S. Bovensmann, H. Burrows, J. P. |
author_facet |
Mieruch, S. Noël, S. Bovensmann, H. Burrows, J. P. |
author_sort |
Mieruch, S. |
title |
Analysis of global water vapour trends from satellite measurements in the visible spectral range |
title_short |
Analysis of global water vapour trends from satellite measurements in the visible spectral range |
title_full |
Analysis of global water vapour trends from satellite measurements in the visible spectral range |
title_fullStr |
Analysis of global water vapour trends from satellite measurements in the visible spectral range |
title_full_unstemmed |
Analysis of global water vapour trends from satellite measurements in the visible spectral range |
title_sort |
analysis of global water vapour trends from satellite measurements in the visible spectral range |
publisher |
HAL CCSD |
publishDate |
2008 |
url |
https://hal.science/hal-00296430 https://hal.science/hal-00296430/document https://hal.science/hal-00296430/file/acp-8-491-2008.pdf |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Siberia |
genre_facet |
Greenland Siberia |
op_source |
ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://hal.science/hal-00296430 Atmospheric Chemistry and Physics, 2008, 8 (3), pp.491-504 |
op_relation |
hal-00296430 https://hal.science/hal-00296430 https://hal.science/hal-00296430/document https://hal.science/hal-00296430/file/acp-8-491-2008.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1782334724088266752 |