The use of SMILES data to study ozone loss in the Arctic winter 2009/2010 and comparison with Odin/SMR data using assimilation techniques

The Superconducting Submillimeter-Wave Limb-Emission Sounder (SMILES) on board the International Space Station observed ozone in the stratosphere with high precision from October 2009 to April 2010. Although SMILES measurements only cover latitudes from 38° S to 65° N, the combination of data assimi...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Sagi, Kazutoshi, Murtagh, Donal, Urban, Joachim, Sagawa, Hideo, Kasai, Y.
Language:unknown
Published: 2014
Subjects:
Online Access:https://doi.org/10.5194/acp-14-12855-2014
https://research.chalmers.se/en/publication/198454
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author Sagi, Kazutoshi
Murtagh, Donal
Urban, Joachim
Sagawa, Hideo
Kasai, Y.
author_facet Sagi, Kazutoshi
Murtagh, Donal
Urban, Joachim
Sagawa, Hideo
Kasai, Y.
author_sort Sagi, Kazutoshi
collection Unknown
container_issue 23
container_start_page 12855
container_title Atmospheric Chemistry and Physics
container_volume 14
description The Superconducting Submillimeter-Wave Limb-Emission Sounder (SMILES) on board the International Space Station observed ozone in the stratosphere with high precision from October 2009 to April 2010. Although SMILES measurements only cover latitudes from 38° S to 65° N, the combination of data assimilation methods and an isentropic advection model allows us to quantify the ozone depletion in the 2009/2010 Arctic polar winter by making use of the instability of the polar vortex in the northern hemisphere. Ozone data from both SMILES and Odin/SMR (Sub-Millimetre Radiometer) for the winter were assimilated into the Dynamical Isentropic Assimilation Model for OdiN Data (DIAMOND). DIAMOND is an off-line wind-driven transport model on isentropic surfaces. Wind data from the operational analyses of the European Centre for Medium- Range Weather Forecasts (ECMWF) were used to drive the model. In this study, particular attention is paid to the cross isentropic transport of the tracer in order to accurately assess the ozone loss. The assimilated SMILES ozone fields agree well with the limitation of noise induced variability within the SMR fields despite the limited latitude coverage of the SMILES observations. Ozone depletion has been derived by comparing the ozone field acquired by sequential assimilation with a passively transported ozone field initialized on 1 December 2009. Significant ozone loss was found in different periods and altitudes from using both SMILES and SMR data: The initial depletion occurred at the end of January below 550 K with an accumulated loss of 0.6–1.0 ppmv (approximately 20%) by 1 April. The ensuing loss started from the end of February between 575 K and 650 K. Our estimation shows that 0.8–1.3 ppmv (20–25 %) of O3 has been removed at the 600 K isentropic level by 1 April in volume mixing ratio (VMR).
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op_doi https://doi.org/10.5194/acp-14-12855-2014
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spelling ftchalmersuniv:oai:research.chalmers.se:198454 2025-06-15T14:21:10+00:00 The use of SMILES data to study ozone loss in the Arctic winter 2009/2010 and comparison with Odin/SMR data using assimilation techniques Sagi, Kazutoshi Murtagh, Donal Urban, Joachim Sagawa, Hideo Kasai, Y. 2014 text https://doi.org/10.5194/acp-14-12855-2014 https://research.chalmers.se/en/publication/198454 unknown https://research.chalmers.se/en/publication/198454 Meteorology and Atmospheric Sciences 2014 ftchalmersuniv https://doi.org/10.5194/acp-14-12855-2014 2025-05-19T04:26:12Z The Superconducting Submillimeter-Wave Limb-Emission Sounder (SMILES) on board the International Space Station observed ozone in the stratosphere with high precision from October 2009 to April 2010. Although SMILES measurements only cover latitudes from 38° S to 65° N, the combination of data assimilation methods and an isentropic advection model allows us to quantify the ozone depletion in the 2009/2010 Arctic polar winter by making use of the instability of the polar vortex in the northern hemisphere. Ozone data from both SMILES and Odin/SMR (Sub-Millimetre Radiometer) for the winter were assimilated into the Dynamical Isentropic Assimilation Model for OdiN Data (DIAMOND). DIAMOND is an off-line wind-driven transport model on isentropic surfaces. Wind data from the operational analyses of the European Centre for Medium- Range Weather Forecasts (ECMWF) were used to drive the model. In this study, particular attention is paid to the cross isentropic transport of the tracer in order to accurately assess the ozone loss. The assimilated SMILES ozone fields agree well with the limitation of noise induced variability within the SMR fields despite the limited latitude coverage of the SMILES observations. Ozone depletion has been derived by comparing the ozone field acquired by sequential assimilation with a passively transported ozone field initialized on 1 December 2009. Significant ozone loss was found in different periods and altitudes from using both SMILES and SMR data: The initial depletion occurred at the end of January below 550 K with an accumulated loss of 0.6–1.0 ppmv (approximately 20%) by 1 April. The ensuing loss started from the end of February between 575 K and 650 K. Our estimation shows that 0.8–1.3 ppmv (20–25 %) of O3 has been removed at the 600 K isentropic level by 1 April in volume mixing ratio (VMR). Other/Unknown Material Arctic Unknown Arctic Atmospheric Chemistry and Physics 14 23 12855 12869
spellingShingle Meteorology and Atmospheric Sciences
Sagi, Kazutoshi
Murtagh, Donal
Urban, Joachim
Sagawa, Hideo
Kasai, Y.
The use of SMILES data to study ozone loss in the Arctic winter 2009/2010 and comparison with Odin/SMR data using assimilation techniques
title The use of SMILES data to study ozone loss in the Arctic winter 2009/2010 and comparison with Odin/SMR data using assimilation techniques
title_full The use of SMILES data to study ozone loss in the Arctic winter 2009/2010 and comparison with Odin/SMR data using assimilation techniques
title_fullStr The use of SMILES data to study ozone loss in the Arctic winter 2009/2010 and comparison with Odin/SMR data using assimilation techniques
title_full_unstemmed The use of SMILES data to study ozone loss in the Arctic winter 2009/2010 and comparison with Odin/SMR data using assimilation techniques
title_short The use of SMILES data to study ozone loss in the Arctic winter 2009/2010 and comparison with Odin/SMR data using assimilation techniques
title_sort use of smiles data to study ozone loss in the arctic winter 2009/2010 and comparison with odin/smr data using assimilation techniques
topic Meteorology and Atmospheric Sciences
topic_facet Meteorology and Atmospheric Sciences
url https://doi.org/10.5194/acp-14-12855-2014
https://research.chalmers.se/en/publication/198454