scholarly journals A comparative analysis of UV nadir-backscatter and infrared limb-emission ozone data assimilation

2016 ◽  
Vol 16 (13) ◽  
pp. 8539-8557 ◽  
Author(s):  
Rossana Dragani
Keyword(s):  
Data Assimilation ◽  
Control Experiment ◽  
Stratospheric Ozone ◽  
Michelson Interferometer ◽  
European Space Agency ◽  
Total Column Ozone ◽  
Ozone Distribution ◽  
Ozone Data ◽  
Instrument Type ◽  
Ozone Profile

Abstract. This paper presents a comparative assessment of ultraviolet nadir-backscatter and infrared limb-emission ozone profile assimilation. The Meteorological Operational Satellite A (MetOp-A) Global Ozone Monitoring Experiment 2 (GOME-2) nadir and the ENVISAT Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) limb profiles, generated by the ozone consortium of the European Space Agency Climate Change Initiative (ESA O3-CCI), were individually added to a reference set of ozone observations and assimilated in the European Centre for Medium-Range Weather Forecasts (ECMWF) data assimilation system (DAS). The two sets of resulting analyses were compared with that from a control experiment, only constrained by the reference dataset, and independent, unassimilated observations. Comparisons with independent observations show that both datasets improve the stratospheric ozone distribution. The changes inferred by the limb-based observations are more localized and, in places, more important than those implied by the nadir profiles, albeit they have a much lower number of observations. A small degradation (up to 0.25 mg kg−1 for GOME-2 and 0.5 mg kg−1 for MIPAS in the mass mixing ratio) is found in the tropics between 20 and 30 hPa. In the lowermost troposphere below its vertical coverage, the limb data are found to be able to modify the ozone distribution with changes as large as 60 %. Comparisons of the ozone analyses with sonde data show that at those levels the assimilation of GOME-2 leads to about 1 Dobson Unit (DU) smaller root mean square error (RMSE) than that of MIPAS. However, the assimilation of MIPAS can still improve the quality of the ozone analyses and – with a reduction in the RMSE of up to about 2 DU – outperform the control experiment thanks to its synergistic assimilation with total-column ozone data within the DAS. High vertical resolution ozone profile observations are essential to accurately monitor and forecast ozone concentrations in a DAS. This study demonstrates the potential and limitations of each dataset and instrument type, as well as the need for a balanced future availability of nadir and limb sensors and long-term plans for limb-viewing instruments.

scholarly journals A comparative analysis of UV nadir-backscatter and infrared limb-emission ozone data assimilation

2016 ◽  
Author(s):  
Rossana Dragani
Keyword(s):  
Data Assimilation ◽  
Control Experiment ◽  
Stratospheric Ozone ◽  
Michelson Interferometer ◽  
European Space Agency ◽  
Ultra Violet ◽  
Total Column Ozone ◽  
Ozone Distribution ◽  
Ozone Data ◽  
Ozone Profile

Abstract. This paper presents a comparative assessment of ultra violet nadir-backscatter and infrared limb-emission ozone profile assimilation. The Meteorological Operational Satellite A (MetOp-A) Global Ozone Monitoring Experiment 2 (GOME-2) nadir and the ENVISAT Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) limb profiles, generated as part of the European Space Agency Climate Change Initiative, were individually added to a reference set of ozone observations and assimilated in the European Centre for Medium-Range Weather Forecasts (ECMWF) data assimilation system (DAS). The two sets of resulting analyses were compared with that from a control experiment, only constrained by the reference dataset, and independent, unassimilated observations. Comparisons with independent observations show that both datasets improve the stratospheric ozone distribution. The changes inferred by the limb-based observations are more localized and, in places, more important than those implied by the nadir profiles, albeit they have a much lower number of observations. A small degradation (up to 0.25 mg/kg for GOME-2 and 0.5 mg/kg for MIPAS) is found in the tropics between 20 and 30 hPa. In the lowermost troposphere below its vertical coverage, the limb data is found able to modify the ozone distribution with changes as large as 60 %. Comparisons of the ozone analyses with sonde data show that at those levels the assimilation of GOME-2 leads to about 1 Dobson Unit (DU) smaller root mean square error (RMSE) than that of MIPAS. However, the assimilation of MIPAS can still improve the quality of the ozone analyses, and – with a reduction in the RMSE up to about 2 DU – outperform the control experiment thanks to its synergistic assimilation with total column ozone data within the DAS. High vertical resolution ozone profile observations are essential to accurately monitor and forecast ozone concentrations in a DAS. This study demonstrates the potential and limitations of each dataset and instrument type, as well as the need for a balanced future availability of nadir and limb sensors, and long-term plans for limb-viewing instruments.

scholarly journals 4D-Var assimilation of MIPAS chemical observations: ozone and nitrogen dioxide analyses

2008 ◽  
Vol 8 (20) ◽  
pp. 6169-6187 ◽  
Author(s):  
Q. Errera ◽  
F. Daerden ◽  
S. Chabrillat ◽  
J. C. Lambert ◽  
W. A. Lahoz ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Nitrogen Dioxide ◽  
Transport Model ◽  
Stratospheric Ozone ◽  
Michelson Interferometer ◽  
European Space Agency ◽  
Horizontal Resolution ◽  
Space Agency ◽  
Estimated Error ◽  
Assimilation System

Abstract. This paper discusses the global analyses of stratospheric ozone (O3) and nitrogen dioxide (NO2) obtained by the Belgian Assimilation System for Chemical Observations from Envisat (BASCOE). Based on a chemistry transport model (CTM) and the 4-dimensional variational (4D-Var) method, BASCOE has assimilated chemical observations of O3, NO2, HNO3, N2O, CH4 and H2O, made between July 2002 and March 2004 by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) onboard the European Space Agency (ESA) Environment Satellite (ENVISAT). This corresponds to the entire period during which MIPAS was operating at its nominal resolution. Our analyses are evaluated against assimilated MIPAS data and independent HALOE (HALogen Occultation Experiment) and POAM-III (Polar Ozone and Aerosol Measurement) satellite data. A good agreement is generally found between the analyses and these datasets, in both cases within the estimated error bars of the observations. The benefit of data assimilation is also evaluated by comparing a BASCOE free model run with MIPAS observations. For O3, the gain from the assimilation is significant during ozone hole conditions, and in the lower stratosphere. Elsewhere, the assimilation does not provide significant improvement. For NO2, the gain from the assimilation is realized through most of the stratosphere. Using the BASCOE analyses, we estimate the differences between MIPAS data and independent data from HALOE and POAM-III, and find results close to those obtained by classical validation methods involving only direct measurement-to-measurement comparisons. Our results extend and reinforce previous MIPAS data validation efforts by taking into account a much larger variety of atmospheric states and measurement conditions. This study discusses possible further developments of the BASCOE data assimilation system; these concern the horizontal resolution, a better filtering of NO2 observations, and the photolysis calculation near the lid of the model. The ozone analyses are part of the PROMOTE project and are publicly available via the BASCOE website (http://www.bascoe.oma.be/promote/).

scholarly journals 4D-Var Assimilation of MIPAS chemical observations: ozone and nitrogen dioxide analyses

2008 ◽  
Vol 8 (2) ◽  
pp. 8009-8057 ◽  
Author(s):  
Q. Errera ◽  
F. Daerden ◽  
S. Chabrillat ◽  
J. C. Lambert ◽  
W. A. Lahoz ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Nitrogen Dioxide ◽  
Transport Model ◽  
Stratospheric Ozone ◽  
Michelson Interferometer ◽  
European Space Agency ◽  
Horizontal Resolution ◽  
Space Agency ◽  
Free Model ◽  
Assimilation System

Abstract. This paper discusses the global analyses of stratospheric ozone (O3) and nitrogen dioxide (NO2) obtained by the Belgian Assimilation System for Chemical Observations from Envisat (BASCOE). Based on a chemistry transport model (CTM) and the 4-dimensional variational (4D-Var) method, BASCOE has assimilated chemical observations of O3, NO2, HNO3, N2O, CH4 and H2O, made between July 2002 and March 2004 by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) onboard the European Space Agency (ESA) Environment Satellite (ENVISAT). This corresponds to the entire period during which MIPAS was operating at its nominal resolution. Our analyses are evaluated against assimilated MIPAS data and independent HALOE (HALogen Occultation Experiment) and POAM-III (Polar Ozone and Aerosol Measurement) satellite data. A good agreement is generally found between the analyses and these datasets, in both cases within the estimated error bars of the observations. The benefit of data assimilation is also evaluated using a BASCOE free model run. For O3, the gain from the assimilation is significant during ozone hole conditions, and in the lower stratosphere. Elsewhere, the free model run is within the MIPAS uncertainties and the assimilation does not provide significant improvement. For NO2, the gain from the assimilation is realized through most of the stratosphere. Using the BASCOE analyses, we estimate the differences between MIPAS data and independent data from HALOE and POAM-III, and find results close to those obtained by classical validation methods involving only direct measurement-to-measurement comparisons. Our results extend and reinforce previous MIPAS data validation efforts by taking account of a much larger variety of atmospheric states and measurement conditions. This study discusses possible further developments of the BASCOE data assimilation system; these concern the horizontal resolution, a better filtering of NO2 observations, and the photolysis calculation near the lid of the model. The ozone analyses are publicly available via the PROMOTE project http://www.gse-promote.org).

scholarly journals Role of the stratospheric chemistry-climate interactions in the hot climate conditions of the Eocene

2018 ◽  
Author(s):  
Sophie Szopa ◽  
Rémi Thiéblemont ◽  
Slimane Bekki ◽  
Svetlana Botsyun ◽  
Pierre Sepulchre
Keyword(s):  
Thermal Structure ◽  
Stratospheric Ozone ◽  
Ozone Layer ◽  
Atmospheric Composition ◽  
Total Column Ozone ◽  
Climate Conditions ◽  
Ozone Distribution ◽  
Hot Climate ◽  
Ozone Column

Abstract. The stratospheric ozone layer plays a key role in atmospheric thermal structure and circulation. Although stratospheric ozone distribution is sensitive to changes in composition and climate, the modifications of stratospheric ozone are not usually considered in climate studies at geological time scales. Here, we evaluate with a chemical-climate model the potential role of stratospheric ozone chemistry in the case of the Eocene hot conditions. We show that the structure of the ozone layer is significantly different under these conditions (4×CO2 climate and high concentrations of tropospheric N2O and CH4). While at mid and high latitudes, the total column ozone is found to be enhanced, the tropical ozone column remains more or less unchanged. These ozone changes are related to the stratospheric cooling and an acceleration of stratospheric Brewer-Dobson circulation simulated under Eocene climate. The meridional distribution of the total ozone column appears also to be strongly modified, showing particularly pronounced mid-latitudes maxima and steeper negative poleward gradient from these maxima. These anomalies are consistent with changes in the seasonal evolution of the polar vortex during the winter, especially in the Northern Hemisphere. Compared to a pre-industrial atmospheric composition, the changes in local ozone concentration reach up to 40 % for zonal annual mean and affect temperature by a few Kelvins in the middle stratosphere. As inter-model differences in simulating the deep past temperatures are quite high, the consideration of atmospheric chemistry, which is computationally demanding in Earth system models, may seem superfluous. However, our results suggest that using stratospheric ozone calculated by the model (and hence more physically consistent with Eocene conditions) instead of the commonly specified preindustrial ozone distribution can change the simulated global surface air temperature by 14 %. This error is of the same order as the effect of non-CO2 boundary conditions (topography, bathymetry, solar constant & vegetation). Moreover, the results highlight the sensitivity of stratospheric ozone to hot climate conditions. Since the climate sensitivity to stratospheric ozone feedback largely differs between models, it must be better constrained not only for deep past conditions but also for future climates.

scholarly journals Merged SAGE II, Ozone_cci and OMPS ozone profile dataset and evaluation of ozone trends in the stratosphere

2017 ◽  
Vol 17 (20) ◽  
pp. 12533-12552 ◽  
Author(s):  
Viktoria F. Sofieva ◽  
Erkki Kyrölä ◽  
Marko Laine ◽  
Johanna Tamminen ◽  
Doug Degenstein ◽  
...  
Keyword(s):  
Climate Change ◽  
Stratospheric Ozone ◽  
European Space Agency ◽  
Space Agency ◽  
Ozone Profile ◽  
Ozone Trends ◽  
Stratospheric Cooling ◽  
The Individual ◽  
Good Agreement

Abstract. In this paper, we present a merged dataset of ozone profiles from several satellite instruments: SAGE II on ERBS, GOMOS, SCIAMACHY and MIPAS on Envisat, OSIRIS on Odin, ACE-FTS on SCISAT, and OMPS on Suomi-NPP. The merged dataset is created in the framework of the European Space Agency Climate Change Initiative (Ozone_cci) with the aim of analyzing stratospheric ozone trends. For the merged dataset, we used the latest versions of the original ozone datasets. The datasets from the individual instruments have been extensively validated and intercompared; only those datasets which are in good agreement, and do not exhibit significant drifts with respect to collocated ground-based observations and with respect to each other, are used for merging. The long-term SAGE–CCI–OMPS dataset is created by computation and merging of deseasonalized anomalies from individual instruments. The merged SAGE–CCI–OMPS dataset consists of deseasonalized anomalies of ozone in 10° latitude bands from 90° S to 90° N and from 10 to 50 km in steps of 1 km covering the period from October 1984 to July 2016. This newly created dataset is used for evaluating ozone trends in the stratosphere through multiple linear regression. Negative ozone trends in the upper stratosphere are observed before 1997 and positive trends are found after 1997. The upper stratospheric trends are statistically significant at midlatitudes and indicate ozone recovery, as expected from the decrease of stratospheric halogens that started in the middle of the 1990s and stratospheric cooling.

scholarly journals Estimating uncertainties in the SBUV Version 8.6 merged profile ozone data set

2017 ◽  
Vol 17 (23) ◽  
pp. 14695-14707 ◽  
Author(s):  
Stacey M. Frith ◽  
Richard S. Stolarski ◽  
Natalya A. Kramarova ◽  
Richard D. McPeters
Keyword(s):  
Total Ozone ◽  
Climate Models ◽  
Pressure Level ◽  
Profile Data ◽  
Data Set ◽  
Ozone Data ◽  
Instrument Type ◽  
Ozone Profile ◽  
Ozone Trend ◽  
Single Instrument

Abstract. The combined record of total and profile ozone measurements from the solar backscatter ultraviolet (SBUV) and SBUV/2 series of instruments, known as the SBUV Merged Ozone Data (MOD) product, constitutes the longest satellite-based ozone time series from a single instrument type and as such plays a key role in ozone trend analyses.Following the approach documented in Frith et al. (2014) to analyze the merging uncertainties in the MOD total ozone record, we use Monte Carlo simulations to estimate the potential for uncertainties in the calibration and drift of individual instruments in the profile ozone merged data set. We focus our discussion on the trends and associated merging uncertainty since 2001 in an effort to verify the start of ozone recovery as predicted by chemistry climate models. We find that merging uncertainty dominates the overall estimated uncertainty when considering only the 15 years of data since 2001. We derive trends versus pressure level for the MOD data set that are positive in the upper stratosphere as expected for ozone recovery. These trends appear to be significant when only statistical uncertainties are included but become not significant at the 2σ level when instrument uncertainties are accounted for. However, when we use the entire data set from 1979 through 2015 and fit to the EESC (equivalent effective stratospheric chlorine) we find statistically significant fits throughout the upper stratosphere at all latitudes. This implies that the ozone profile data remain consistent with our expectation that chlorine is the dominant ozone forcing term.

scholarly journals A multimodel comparison of stratospheric ozone data assimilation based on an ensemble Kalman filter approach

2013 ◽  
Vol 118 (9) ◽  
pp. 3848-3868 ◽  
Author(s):  
T. Nakamura ◽  
H. Akiyoshi ◽  
M. Deushi ◽  
K. Miyazaki ◽  
C. Kobayashi ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Data Assimilation ◽  
Ensemble Kalman Filter ◽  
Stratospheric Ozone ◽  
Ozone Data ◽  
Filter Approach

scholarly journals Improved ozone profile retrievals from GOME data with degradation correction in reflectance

2007 ◽  
Vol 7 (6) ◽  
pp. 1575-1583 ◽  
Author(s):  
X. Liu ◽  
K. Chance ◽  
T. P. Kurosu
Keyword(s):  
Zenith Angle ◽  
Stratospheric Ozone ◽  
Retrieval Algorithm ◽  
Simple Method ◽  
Total Column Ozone ◽  
Ozone Profile ◽  
Average Reflectance ◽  
Ozone Monitoring ◽  
Column Ozone ◽  
Total Column

Abstract. We present a simple method to perform degradation correction to Global Ozone Monitoring Experiment (GOME) reflectance spectra by comparing the average reflectance for 60° N–60° S with that at the beginning of GOME observations (July–December 1995) after removing the dependences on solar zenith angle and seasonal variation. The results indicate positive biases of up to ~15–25% in the wavelength range 289–370 nm during 2000–2002; the degradation also exhibits significant dependence on wavelength and viewing zenith angle. These results are consistent with previous studies using radiative transfer models and ozone observations. The degradation causes retrieval biases of up to ~3% (10 DU, 1 DU=2.69×1016 molecules cm−2), 30% (10 DU), 10%, and 40% in total column ozone, tropospheric column ozone, stratospheric ozone and tropospheric ozone, respectively, from our GOME ozone profile retrieval algorithm. In addition, retrieval biases due to degradation vary significantly with latitude. The application of this degradation correction improves the retrievals relative to Dobson and ozonesonde measurements at Hohenpeißenberg station during 2000–2003 and improves the spatiotemporal consistency of retrieval quality during 1996–2003. However, because this method assumes that the deseasonalized globally-averaged reflectance does not change much with time, retrievals with this correction may be inadequate for trend analysis. In addition, it does not correct for instrument biases that have occurred since launch.

scholarly journals Measurement report: Regional trends of stratospheric ozone evaluated using the MErged GRIdded Dataset of Ozone Profiles (MEGRIDOP)

2020 ◽  
Author(s):  
Viktoria F. Sofieva ◽  
Monika Szelag ◽  
Johanna Tamminen ◽  
Erkki Kyrölä ◽  
Doug Degenstein ◽  
...  
Keyword(s):  
Stratospheric Ozone ◽  
European Space Agency ◽  
Polar Vortex ◽  
Polar Regions ◽  
High Latitudes ◽  
Longitudinal Structure ◽  
Gridded Dataset ◽  
Space Agency ◽  
Ozone Profile ◽  
Ozone Trends

Abstract. In this paper, we present the MErged GRIdded Dataset of Ozone Profiles (MEGRIDOP) in the stratosphere with a resolved longitudinal structure, which is derived from data by six limb and occultation satellite instruments: GOMOS, SCIAMACHY and MIPAS on Envisat, OSIRIS on Odin, OMPS on Suomi-NPP, and MLS on Aura. The merged dataset was generated as a contribution to the European Space Agency Climate Change Initiative Ozone project (Ozone_cci). The period of this merged time series of ozone profiles is from late 2001 until the end of 2018. The monthly mean gridded ozone profile dataset is provided in the altitude range from 10 to 50 km in bins of 10° latitude × 20° longitude. The merging is performed using deseasonalized anomalies. The created MEGRIDOP dataset can be used for analyses, which probe our understanding of stratospheric chemistry and dynamics. To illustrate some possible areas of applications, we created the climatology of ozone profiles with resolved longitudinal structure. We found zonal asymmetry/structures in the climatological ozone profiles at middle and high latitudes associated with the polar vortex. At Northern high latitudes, the amplitude of the seasonal cycle also has a longitudinal dependence. The MEGRIDOP dataset has been also used to evaluate regional vertically-resolved ozone trends in the stratosphere, including polar regions. It is found that stratospheric ozone trends exhibit longitudinal structures at Northern Hemisphere middle and high latitudes, with enhanced trends over Scandinavia and Atlantic region. This agrees well with previous analyses and might be due to changes in dynamic processed related to the Brewer-Dobson circulation.

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