Retrieval of MetOp-A/IASI CO profiles and validation with MOZAIC data

Wachter, E. De; Barret, Brice; Flochmoën, É. Le; Pavelin, Ed; Matricardi, Marco; Clerbaux, Cathy; Hadji‐Lazaro, Juliette; George, Maya; Hurtmans, Daniel; Coheur, Pierre‐François; Nedelec, P.; Cammas, Jean‐Pierre

doi:10.5194/amt-5-2843-2012

Cited by 53 publications

(62 citation statements)

References 39 publications

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“…Previous validation studies using ground-based, aircraft and satellite data have shown that CO total columns from MOPITT and IASI are retrieved with an error generally below 10-15 % at mid and tropical latitudes, but can have larger errors in polar regions (MOPITT: Deeter et al, 2012Deeter et al, , 2013Emmons et al, 2004Emmons et al, , 2009IASI: George et al, 2009;Pommier et al, 2010;De Wachter et al, 2012;Kerzenmacher et al, 2012). The profiles are only weakly resolved, with < 1 to ∼ 2.5 independent pieces of information, depending mostly on the thermal state of the atmosphere.…”

Section: Retrieved Co Productsmentioning

confidence: 99%

An examination of the long-term CO records from MOPITT and IASI: comparison of retrieval methodology

et al. 2015

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Abstract. Carbon monoxide (CO) is a key atmospheric compound that can be remotely sensed by satellite on the global scale. Fifteen years of continuous observations are now available from the MOPITT/Terra mission (2000 to present). Another 15 and more years of observations will be provided by the IASI/MetOp instrument series (2007-2023 >). In order to study long-term variability and trends, a homogeneous record is required, which is not straightforward as the retrieved quantities are instrument and processing dependent. The present study aims at evaluating the consistency between the CO products derived from the MOPITT and IASI missions, both for total columns and vertical profiles, during a 6-year overlap period (2008)(2009)(2010)(2011)(2012)(2013). The analysis is performed by first comparing the available 2013 versions of the retrieval algorithms (v5T for MOPITT and v20100815 for IASI), and second using a dedicated reprocessing of MO-PITT CO profiles and columns using the same a priori information as the IASI product. MOPITT total columns are generally slightly higher over land (bias ranging from 0 to 13 %) than IASI data. When IASI and MOPITT data are retrieved with the same a priori constraints, correlation coefficients are slightly improved. Large discrepancies (total column bias over 15 %) observed in the Northern Hemisphere during the winter months are reduced by a factor of 2 to 2.5. The detailed analysis of retrieved vertical profiles compared with collocated aircraft data from the MOZAIC-IAGOS network, illustrates the advantages and disadvantages of a constant vs. a variable a priori. On one hand, MOPITT agrees better with the aircraft profiles for observations with persisting high levels of CO throughout the year due to pollution or seasonal fire activity (because the climatology-based a priori is supposed to be closer to the real atmospheric state). On the other hand, IASI performs better when unexpected events leading to high levels of CO occur, due to a larger variability associated with the a priori.

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Section: Retrieved Co Productsmentioning

confidence: 99%

An examination of the long-term CO records from MOPITT and IASI: comparison of retrieval methodology

et al. 2015

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“…The spectra are processed in near-real time, and the CO profiles are distributed with error covariance, averaging kernels and quality flags information (www.pole-ether.fr). The IASI CO product was validated against ground-based observations (Kerzenmacher et al, 2012), aircraft data (De Wachter et al, 2012), and satellite measurements ). The FORLI-CO column (v20100815) values used here are daytime data.…”

Section: Iasi Atmospheric Columnsmentioning

confidence: 99%

On the wintertime low bias of Northern Hemisphere carbon monoxide found in global model simulations

Stein¹,

Schultz²,

et al. 2014

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Abstract. Despite the developments in the global modelling of chemistry and of the parameterization of the physical processes, carbon monoxide (CO) concentrations remain underestimated during Northern Hemisphere (NH) winter by most state-of-the-art chemistry transport models. The consequential model bias can in principle originate from either an underestimation of CO sources or an overestimation of its sinks. We address both the role of surface sources and sinks with a series of MOZART (Model for Ozone And Related Tracers) model sensitivity studies for the year 2008 and compare our results to observational data from ground-based stations, satellite observations, and vertical profiles from measurements on passenger aircraft. In our base case simulation using MACCity (Monitoring Atmospheric Composition and Climate project) anthropogenic emissions, the near-surface CO mixing ratios are underestimated in the Northern Hemisphere by more than 20 ppb from December to April, with the largest bias of up to 75 ppb over Europe in January. An increase in global biomass burning or biogenic emissions of CO or volatile organic compounds (VOCs) is not able to reduce the annual course of the model bias and yields concentrations over the Southern Hemisphere which are too high. Raising global annual anthropogenic emissions with a simple scaling factor results in overestimations of surface mixing ratios in most regions all year round. Instead, our results indicate that anthropogenic CO and, possibly, VOC emissions in the MACCity inventory are too low for the industrialized countries only during winter and spring. Reasonable agreement with observations can only be achieved if the CO emissions are adjusted seasonally with regionally varying scaling factors. A part of the model bias could also be eliminated by exchanging the original resistance-type dry deposition scheme with a parameterization for CO uptake by oxidation from soil bacteria and microbes, which reduces the boreal winter dry deposition fluxes. The best match to surface observations, satellite retrievals, and aircraft observations was achieved when the modified dry deposition scheme was combined with increased wintertime road traffic emissions over Europe and North America (factors up to 4.5 and 2, respectively). One reason for the apparent underestimation of emissions may be an exaggerated downward trend in the Representative Concentration Pathway (RCP) 8.5 scenario in these regions between 2000 and 2010, as this scenario was used to extrapolate the MACCity emissions from their base year 2000. This factor is potentially amplified by a lack of knowledge about the seasonality of emissions. A methane lifetime of 9.7 yr for our basic model and 9.8 yr for the optimized simulation agrees well with current estimates of global OH, but we cannot fully exclude a potential effect from errors in the geographical and seasonal distribution of OH concentrations on the modelled CO.

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“…Section 6 provides a summary and conclusions. (Eremenko et al, 2008;Barret et al, 2011) and CO De Wachter et al, 2012). In the present study, we use data provided by the Software for a Fast Retrieval of IASI Data (SOFRID) presented in Barret et al (2011) for O 3 and in De Wachter et al (2012) for CO.…”

Section: Introductionmentioning

confidence: 99%

Upper-tropospheric CO and O<sub>3</sub> budget during the Asian summer monsoon

et al. 2016

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Abstract. During the Asian summer monsoon, the circulation in the upper troposphere/lower stratosphere (UTLS) is dominated by the Asian monsoon anticyclone (AMA). Pollutants convectively uplifted to the upper troposphere are trapped within this anticyclonic circulation that extends from the Pacific Ocean to the Eastern Mediterranean basin. Among the uplifted pollutants are ozone (O 3 ) and its precursors, such as carbon monoxide (CO) and nitrogen oxides (NO x ). Many studies based on global modeling and satellite data have documented the source regions and transport pathways of primary pollutants (CO, HCN) into the AMA. Here, we aim to quantify the O 3 budget by taking into consideration anthropogenic and natural sources. We first use CO and O 3 data from the MetOp-A/IASI sensor to document their tropospheric distributions over Asia, taking advantage of the useful information they provide on the vertical dimension. These satellite data are used together with MOZAIC tropospheric profiles recorded in India to validate the distributions simulated by the global GEOS-Chem chemistry transport model. Over the Asian region, UTLS monthly CO and O 3 distributions from IASI and GEOS-Chem display the same large-scale features. UTLS CO columns from GEOS-Chem are in agreement with IASI, with a low bias of 11 ± 9 % and a correlation coefficient of 0.70. For O 3 , the model underestimates IASI UTLS columns over Asia by 14 ± 26 % but the correlation between both is high (0.94). GEOS-Chem is further used to quantify the CO and O 3 budget through sensitivity simulations. For CO, these simulations confirm that South Asian anthropogenic emissions have a more important impact on enhanced concentrations within the AMA (∼ 25 ppbv) than East Asian emissions (∼ 10 ppbv). The correlation between enhanced emissions over the Indo-Gangetic Plain and monsoon deep convection is responsible for this larger impact. Consistently, South Asian anthropogenic NO x emissions also play a larger role in producing O 3 within the AMA (∼ 8 ppbv) than East Asian emissions (∼ 5 ppbv), but Asian lightning-produced NO x is responsible for the largest O 3 production (10-14 ppbv). Stratosphere-to-troposphere exchanges are also important in transporting O 3 in the upper part of the AMA.

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Retrieval of MetOp-A/IASI CO profiles and validation with MOZAIC data

Cited by 53 publications

References 39 publications

An examination of the long-term CO records from MOPITT and IASI: comparison of retrieval methodology

An examination of the long-term CO records from MOPITT and IASI: comparison of retrieval methodology

On the wintertime low bias of Northern Hemisphere carbon monoxide found in global model simulations

Upper-tropospheric CO and O<sub>3</sub> budget during the Asian summer monsoon

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Retrieval of MetOp-A/IASI CO profiles and validation with MOZAIC data

Cited by 53 publications

References 39 publications

An examination of the long-term CO records from MOPITT and IASI: comparison of retrieval methodology

An examination of the long-term CO records from MOPITT and IASI: comparison of retrieval methodology

On the wintertime low bias of Northern Hemisphere carbon monoxide found in global model simulations

Upper-tropospheric CO and O&lt;sub&gt;3&lt;/sub&gt; budget during the Asian summer monsoon

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Product

Resources

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Upper-tropospheric CO and O<sub>3</sub> budget during the Asian summer monsoon