Retrieval of desert dust aerosol vertical profiles from IASI measurements in the TIR atmospheric window

Vandenbussche, Sophie; Kochenova, S.; Vandaele, Ann Carine; Kumps, Nicolas; Mazière, Martine De

doi:10.5194/amt-6-2577-2013

Cited by 50 publications

(66 citation statements)

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“…In solar occultation, dust and clouds will mostly reduce the level of sunlight reaching the instrument by extinction, whereas in nadir observations, the situation is more complex and depends highly on the optical properties (single scattering albedo, phase functions) governing the interaction of light and the aerosols. All the simulations in nadir shown here were obtained using a full scattering scheme adapted to Martian conditions (Drummond et al 2011;Vandenbussche et al 2013). The model includes Rayleigh scattering and aerosol properties (i.e.…”

Section: Expected Performancementioning

confidence: 99%

NOMAD, an Integrated Suite of Three Spectrometers for the ExoMars Trace Gas Mission: Technical Description, Science Objectives and Expected Performance

Vandaele¹,

Moreno²,

Patel³

et al. 2018

Space Sci Rev

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The NOMAD ("Nadir and Occultation for MArs Discovery") spectrometer suite on board the ExoMars Trace Gas Orbiter (TGO) has been designed to investigate the comThis paper is dedicated to the memory of M. Allen, V. Formisano, and J. McConnell. position of Mars' atmosphere, with a particular focus on trace gases, clouds and dust. The detection sensitivity for trace gases is considerably improved compared to previous Mars missions, compliant with the science objectives of the TGO mission. This will allow for a major leap in our knowledge and understanding of the Martian atmospheric composition and the related physical and chemical processes. The instrument is a combination of three spectrometers, covering a spectral range from the UV to the mid-IR, and can perform solar occultation, nadir and limb observations. In this paper, we present the science objectives of the instrument and explain the technical principles of the three spectrometers. We also discuss the expected performance of the instrument in terms of spatial and temporal coverage and detection sensitivity.

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Section: Expected Performancementioning

confidence: 99%

NOMAD, an Integrated Suite of Three Spectrometers for the ExoMars Trace Gas Mission: Technical Description, Science Objectives and Expected Performance

Vandaele¹,

Moreno²,

Patel³

et al. 2018

Space Sci Rev

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109

117

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“…A best-guess estimate would be that the uncertainty is of the order of 1-1.5 km. Vandenbussche et al (2013) found that for low dust loads, the BIRA-IASB algorithm placed the aerosol layer 1-2 km above the CALIOP-retrieved layer. The algorithm has since undergone several revisions and improvements and the average overestimate for all data is 0.078 km (0.590 km) when compared with the CALIOP geometric mean (cumulative extinction) height.…”

Section: Discussionmentioning

confidence: 99%

“…The various dust height retrieval algorithms used in this study are summarized in Table 1 and described in more detail below. Peyridieu et al (2010Peyridieu et al ( , 2013, from Volz (1972Volz ( , 1973 layer height Capelle et al (2014) The Mineral Aerosol Profiling from Thermal Infrared (MAPIR) retrieval algorithm is an extensive technical and scientific improvement of the algorithm first published by Vandenbussche et al (2013). Version 3.5 of the algorithm, fully described in Vandenbussche and De Mazière (2017), is used in this study.…”

Section: Passive Instrument Dust Height Retrievalsmentioning

confidence: 99%

“…Earlier studies (Capelle et al, 2014;Peyridieu et al, 2010Peyridieu et al, , 2013 compared monthly averaged and gridded data, or investigated a specific episode (Vandenbussche et al, 2013;Cuesta et al, 2015). We perform a point-by-point comparison for selected episodes.…”

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confidence: 99%

“…The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on board the CloudAerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite , and https: //www-calipso.larc.nasa.gov/) provides detailed vertical information with a vertical resolution of 30 m below 8.2 km and a horizontal footprint of 335 m. Passive solar and thermal infrared satellite instruments may provide global data on a daily basis with horizontal resolution of the order of tens of kilometres. For example, Vandenbussche et al (2013) retrieved desert dust aerosol vertical profiles from Infrared Atmospheric Sounding Interferometer (IASI) measurements; Cuesta et al (2015) described the three-dimensional distribution of a dust outbreak over eastern Asia, including dust height and also using IASI measurements; Sanders and de Haan (2013) used the O 2 A-band to retrieve aerosol-layer height from the Global Ozone Monitoring Experiment-2A (GOME-2A). Dust top height may also be estimated using stereo view techniques by either utilizing instruments with multi-angle capabilities (for example the Advanced Along Track Scanning Radiometer, AATSR, Virtanen et al, 2014) or by combining measurement from different sensors (see for example Merucci et al, 2016).…”

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Comparison of dust-layer heights from active and passive satellite sensors

et al. 2018

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Abstract. Aerosol-layer height is essential for understanding the impact of aerosols on the climate system. As part of the European Space Agency Aerosol_cci project, aerosollayer height as derived from passive thermal and solar satellite sensors measurements have been compared with aerosollayer heights estimated from CALIOP measurements. The Aerosol_cci project targeted dust-type aerosol for this study. This ensures relatively unambiguous aerosol identification by the CALIOP processing chain. Dust-layer height was estimated from thermal IASI measurements using four different algorithms (from BIRA-IASB, DLR, LMD, LISA) and from solar GOME-2 (KNMI) and SCIAMACHY (IUP) measurements. Due to differences in overpass time of the various satellites, a trajectory model was used to move the CALIOPderived dust heights in space and time to the IASI, GOME-2 and SCIAMACHY dust height pixels. It is not possible to construct a unique dust-layer height from the CALIOP data. Thus two CALIOP-derived layer heights were used: the cumulative extinction height defined as the height where the CALIOP extinction column is half of the total extinction column, and the geometric mean height, which is defined as the geometrical mean of the top and bottom heights of the dust layer. In statistical average over all IASI data there is a general tendency to a positive bias of 0.5-0.8 km against CALIOP extinction-weighted height for three of the four algorithms assessed, while the fourth algorithm has almost no bias. When comparing geometric mean height there is a shift of −0.5 km for all algorithms (getting close to zero for the three algorithms and turning negative for the fourth). The standard deviation of all algorithms is quite similar and ranges between 1.0 and 1.3 km. When looking at different conditions (day, night, land, ocean), there is more detail in variabilities (e.g. all algorithms overestimate more at night than during the day). For the solar sensors it is found that on average SCIAMACHY data are lower by −1.097 km (−0.961 km) compared to the CALIOP geometric mean (cumulative extinction) height, and GOME-2 data are lower by −1.393 km (−0.818 km).

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Three‐dimensional distribution of a major desert dust outbreak over East Asia in March 2008 derived from IASI satellite observations

et al. 2015

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We describe the daily evolution of the three-dimensional (3D) structure of a major dust outbreak initiated by an extratropical cyclone over East Asia in early March 2008, using new aerosol retrievals derived from satellite observations of IASI (Infrared Atmospheric Sounding Interferometer). A novel auto-adaptive Tikhonov-Phillips-type approach called AEROIASI is used to retrieve vertical profiles of dust extinction coefficient at 10 μm for most cloud-free IASI pixels, both over land and ocean. The dust vertical distribution derived from AEROIASI is shown to agree remarkably well with along-track transects of CALIOP spaceborne lidar vertical profiles (mean biases less than 110 m, correlation of 0.95, and precision of 260 m for mean altitudes of the dust layers). AEROIASI allows the daily characterization of the 3D transport pathways across East Asia of two dust plumes originating from the Gobi and North Chinese deserts. From AEROIASI retrievals, we provide evidence that (i) both dust plumes are transported over the Beijing region and the Yellow Sea as elevated layers above a shallow boundary layer, (ii) as they progress eastward, the dust layers are lifted up by the ascending motions near the core of the extratropical cyclone, and (iii) when being transported over the warm waters of the Japan Sea, turbulent mixing in the deep marine boundary layer leads to high dust concentrations down to the surface. AEROIASI observations and model simulations also show that the progression of the dust plumes across East Asia is tightly related to the advancing cold front of the extratropical cyclone.

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Retrieval of desert dust aerosol vertical profiles from IASI measurements in the TIR atmospheric window

Cited by 50 publications

References 51 publications

NOMAD, an Integrated Suite of Three Spectrometers for the ExoMars Trace Gas Mission: Technical Description, Science Objectives and Expected Performance

NOMAD, an Integrated Suite of Three Spectrometers for the ExoMars Trace Gas Mission: Technical Description, Science Objectives and Expected Performance

Comparison of dust-layer heights from active and passive satellite sensors

Three‐dimensional distribution of a major desert dust outbreak over East Asia in March 2008 derived from IASI satellite observations

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