Towards IASI-New Generation (IASI-NG): impact of improved spectral resolution and radiometric noise on the retrieval of thermodynamic, chemistry and climate variables

Crévoisier, Cyril; Clerbaux, Cathy; Guidard, Vincent; Phulpin, T.; Armante, R.; Barret, Blandine; Camy‐Peyret, C.; Chaboureau, Jean‐Pierre; Coheur, Pierre‐François; Crépeau, L.; Dufour, G.; C.‐Labonnote, Laurent; Lavanant, L.; Hadji‐Lazaro, Juliette; Herbin, Hervé; Jacquinet-Husson, N.; Payan, Sébastien; Péquignot, Eric; Pierangelo, Clémence; Sellitto, Pasquale; Stubenrauch, C.

doi:10.5194/amt-7-4367-2014

Cited by 118 publications

(91 citation statements)

References 53 publications

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“…(2016). This enhancement of the detection level helps to minimize the bias in the retrieved total columns as explained in Crevoisier et al (2014). For the analysis performed here, similar slopes and correlation coefficients were generally calculated, suggesting a negligible effect of this parameter on the biases.…”

Section: General Analysissupporting

confidence: 55%

Determination of enhancement ratios of HCOOH relative to CO in biomass burning plumes by the Infrared Atmospheric Sounding Interferometer (IASI)

2017

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Abstract. Formic acid (HCOOH) concentrations are often underestimated by models, and its chemistry is highly uncertain. HCOOH is, however, among the most abundant atmospheric volatile organic compounds, and it is potentially responsible for rain acidity in remote areas. HCOOH data from the Infrared Atmospheric Sounding Interferometer (IASI) are analyzed from 2008 to 2014 to estimate enhancement ratios from biomass burning emissions over seven regions. Fire-affected HCOOH and CO total columns are defined by combining total columns from IASI, geographic location of the fires from Moderate Resolution Imaging Spectroradiometer (MODIS), and the surface wind speed field from the European Centre for Medium-Range Weather Forecasts (ECMWF). Robust correlations are found between these fire-affected HCOOH and CO total columns over the selected biomass burning regions, allowing the calculation of enhancement ratios equal to 7.30 × 10 −3 ± 0.08 × 10 −3 mol mol −1 over Amazonia (AMA), 11.10 × 10 −3 ± 1.37 × 10 −3 mol mol −1 over Australia (AUS), 6.80 × 10 −3 ± 0.44 × 10 −3 mol mol −1 over India (IND), 5.80 × 10 −3 ± 0.15 × 10 −3 mol mol −1 over Southeast Asia (SEA), 4.00 × 10 −3 ± 0.19 × 10 −3 mol mol −1 over northern Africa (NAF), 5.00 × 10 −3 ± 0.13 × 10 −3 mol mol −1 over southern Africa (SAF), and 4.40 × 10 −3 ± 0.09 × 10 −3 mol mol −1 over Siberia (SIB), in a fair agreement with previous studies. In comparison with referenced emission ratios, it is also shown that the selected agricultural burning plumes captured by IASI over India and Southeast Asia correspond to recent plumes where the chemistry or the sink does not occur. An additional classification of the enhancement ratios by type of fuel burned is also provided, showing a diverse origin of the plumes sampled by IASI, especially over Amazonia and Siberia. The variability in the enhancement ratios by biome over the different regions show that the levels of HCOOH and CO do not only depend on the fuel types.

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Section: General Analysissupporting

confidence: 55%

Determination of enhancement ratios of HCOOH relative to CO in biomass burning plumes by the Infrared Atmospheric Sounding Interferometer (IASI)

2017

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“…This requires continuous and unbiased long-term data records. MOPITT initiated a record of more than 15 years, which is being continued for the next > 30 years by the IASI series of instruments, with the launch of MetOp-C currently scheduled at the end of 2018, and the IASI-New Generation instruments to be embarked on the MetOp-SG platforms (Clerbaux and Crevoisier, 2013;Crevoisier et al, 2014). A systematic processing of both data sets using the same a priori assumptions is foreseen in the framework of the EU-FP7 projects QA4ECV, and this work is paving the way for establishing such a long-term CO compatible record.…”

Section: Discussionmentioning

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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“…Spaceborne IR sounders have been observing our planet since the 1980s: the High-Resolution Infrared Radiation Sounders (HIRS) aboard the National Oceanic and Atmospheric Administration (NOAA) polar satellites provide data since 1979, the Atmospheric InfraRed Sounder (AIRS) aboard the National Aeronautics and Space Administration ( (Crevoisier et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Cloud climatologies from the infrared sounders AIRS and IASI: strengths and applications

et al. 2017

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Abstract. Global cloud climatologies have been built from 13 years of Atmospheric Infrared Sounder (AIRS) and 8 years of Infrared Atmospheric Sounding Interferometer (IASI) observations, using an updated Clouds from Infrared Sounders (CIRS) retrieval. The CIRS software can handle any infrared (IR) sounder data. Compared to the original retrieval, it uses improved radiative transfer modelling, accounts for atmospheric spectral transmissivity changes associated with CO 2 concentration and incorporates the latest ancillary data (atmospheric profiles, surface temperature and emissivities). The global cloud amount is estimated to be 0.67-0.70, for clouds with IR optical depth larger than about 0.1. The spread of 0.03 is associated with ancillary data. Cloud amount is partitioned into about 40 % high-level clouds, 40 % low-level clouds and 20 % mid-level clouds. The latter two categories are only detected in the absence of upper clouds. The A-Train active instruments, lidar and radar of the CALIPSO and CloudSat missions, provide a unique opportunity to evaluate the retrieved AIRS cloud properties. CIRS cloud height can be approximated either by the mean layer height (for optically thin clouds) or by the mean between cloud top and the height at which the cloud reaches opacity. This is valid for high-level as well as for low-level clouds identified by CIRS. IR sounders are particularly advantageous to retrieve upper-tropospheric cloud properties, with a reliable cirrus identification, day and night. These clouds are most abundant in the tropics, where high opaque clouds make up 7.5 %, thick cirrus 27.5 % and thin cirrus about 21.5 % of all clouds. The 5 % annual mean excess in high-level cloud amount in the Northern compared to the Southern Hemisphere has a pronounced seasonal cycle with a maximum of 25 % in boreal summer, in accordance with the moving of the ITCZ peak latitude, with annual mean of 4 • N, to a maximum of 12 • N. This suggests that this excess is mainly determined by the position of the ITCZ. Considering interannual variability, tropical cirrus are more frequent relative to all clouds when the global (or tropical) mean surface gets warmer. Changes in relative amount of tropical high opaque and thin cirrus with respect to mean surface temperature show different geographical patterns, suggesting that their response to climate change might differ.

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Towards IASI-New Generation (IASI-NG): impact of improved spectral resolution and radiometric noise on the retrieval of thermodynamic, chemistry and climate variables

Cited by 118 publications

References 53 publications

Determination of enhancement ratios of HCOOH relative to CO in biomass burning plumes by the Infrared Atmospheric Sounding Interferometer (IASI)

Determination of enhancement ratios of HCOOH relative to CO in biomass burning plumes by the Infrared Atmospheric Sounding Interferometer (IASI)

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

Cloud climatologies from the infrared sounders AIRS and IASI: strengths and applications

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