A unified approach to infrared aerosol remote sensing and type specification

Clarisse, Lieven; Coheur, Pierre‐François; Prata, Fred; Hadji‐Lazaro, Juliette; Hurtmans, Daniel; Clerbaux, Cathy

doi:10.5194/acp-13-2195-2013

Cited by 120 publications

(158 citation statements)

References 146 publications

Supporting

Mentioning

154

Contrasting

Unclassified

Order By: Relevance

“…Li et al, 2003;Clarisse et al, 2013). Usually the methods use the characteristic strong gradient in absorption and scattering efficiency between ∼ 800 and ∼ 950 cm −1 (see also Fig.…”

Section: Combined Cr-btd Classificationmentioning

confidence: 99%

A multi-wavelength classification method for polar stratospheric cloud types using infrared limb spectra

et al. 2016

View full text Add to dashboard Cite

Abstract. The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument on board the ESA Envisat satellite operated from July 2002 until April 2012. The infrared limb emission measurements represent a unique dataset of daytime and night-time observations of polar stratospheric clouds (PSCs) up to both poles. Cloud detection sensitivity is comparable to space-borne lidars, and it is possible to classify different cloud types from the spectral measurements in different atmospheric windows regions.Here we present a new infrared PSC classification scheme based on the combination of a well-established two-colour ratio method and multiple 2-D brightness temperature difference probability density functions. The method is a simple probabilistic classifier based on Bayes' theorem with a strong independence assumption. The method has been tested in conjunction with a database of radiative transfer model calculations of realistic PSC particle size distributions, geometries, and composition. The Bayesian classifier distinguishes between solid particles of ice and nitric acid trihydrate (NAT), as well as liquid droplets of super-cooled ternary solution (STS).The classification results are compared to coincident measurements from the space-borne lidar Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument over the temporal overlap of both satellite missions (June 2006-March 2012. Both datasets show a good agreement for the specific PSC classes, although the viewing geometries and the vertical and horizontal resolution are quite different. Discrepancies are observed between the CALIOP and the MI-PAS ice class. The Bayesian classifier for MIPAS identifies substantially more ice clouds in the Southern Hemisphere polar vortex than CALIOP. This disagreement is attributed in part to the difference in the sensitivity on mixed-type clouds. Ice seems to dominate the spectral behaviour in the limb infrared spectra and may cause an overestimation in ice occurrence compared to the real fraction of ice within the PSC area in the polar vortex.The entire MIPAS measurement period was processed with the new classification approach. Examples like the detection of the Antarctic NAT belt during early winter, and its possible link to mountain wave events over the Antarctic Peninsula, which are observed by the Atmospheric Infrared Sounder (AIRS) instrument, highlight the importance of a climatology of 9 Southern Hemisphere and 10 Northern Hemisphere winters in total. The new dataset is valuable both for detailed process studies, and for comparisons with and improvements of the PSC parameterizations used in chemistry transport and climate models.

show abstract

“…Li et al, 2003;Clarisse et al, 2013). Usually the methods use the characteristic strong gradient in absorption and scattering efficiency between ∼ 800 and ∼ 950 cm −1 (see also Fig.…”

Section: Combined Cr-btd Classificationmentioning

confidence: 99%

A multi-wavelength classification method for polar stratospheric cloud types using infrared limb spectra

et al. 2016

View full text Add to dashboard Cite

show abstract

“…desert dust). However, it has been shown recently by Clarisse et al (2013a) that it is possible to discriminate the absorption signatures of ash from other types of absorbing aerosols using hyperspectral thermal infrared sensors. In SACS, we have implemented such an algorithm to selectively detect ash for AIRS, IASI-A and IASI-B .…”

Section: Volcanic Eruptions: a Threat To Aviation Safetymentioning

confidence: 99%

“…For the three thermal infrared sensors, the criteria of this detection are generally straightforward using the three-step approach specified in Sect. 3.4, with a dependency on the high level of confidence (LOC); see Clarisse et al, 2013a. If one pixel with a high LOC and two with a medium LOC are identified, a notification is issued.…”

Section: Criteria For So 2 and Ash Notificationsmentioning

confidence: 99%

See 1 more Smart Citation

Support to Aviation Control Service (SACS): an online service for near-real-time satellite monitoring of volcanic plumes

Brenot

Theys

Clarisse

et al. 2014

Nat. Hazards Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. Volcanic eruptions emit plumes of ash and gases into the atmosphere, potentially at very high altitudes. Ashrich plumes are hazardous for airplanes as ash is very abrasive and easily melts inside their engines. With more than 50 active volcanoes per year and the ever-increasing number of commercial flights, the safety of airplanes is a real concern. Satellite measurements are ideal for monitoring global volcanic activity and, in combination with atmospheric dispersion models, to track and forecast volcanic plumes. Here we present the Support to Aviation Control Service (SACS, http: //sacs.aeronomie.be), which is a free online service initiated by the European Space Agency (ESA) for the near-real-time (NRT) satellite monitoring of volcanic plumes of SO 2 and ash. It combines data from three ultraviolet (UV)-visible and three infrared (IR) spectrometers. The UV-vis sensors are the Ozone Monitoring Instrument (OMI) and the Global Ozone Monitoring Experiment-2 (GOME-2) on-board the two polar orbiting meteorological satellites (MetOp-A & MetOp-B) operated by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The IR sensors are the Atmospheric InfraRed Sounder (AIRS) and the Infrared Atmospheric Sounding Interferometer (IASI) onboard MetOp-A & MetOp-B. This new multi-sensor warning system of volcanic emissions is based on the selective detection of SO 2 and ash. This system is optimised to avoid false alerts while at the same time limiting the number of notifications in case of large plumes. A successful rate with more than 95 % of notifications corresponding to true volcanic activity is obtained by the SACS system.

show abstract

“…The discussion about the possibility to detect and characterize atmospheric aerosols in the thermal infrared spectral range is relatively recent (Hollweg et al, 2006;Clarisse et al, 2013;Cuesta et al, 2015; and very active, since infrared satellite observations enable an extensive spatial-temporal characterization of aerosol optical and microphysical properties, and quantitative description of their transport processes (e.g. Peyridieu et al, 2013;Prata and Prata, 2012).…”

Section: Introductionmentioning

confidence: 99%

Consistency of dimensional distributions and refractive indices of desert dust measured over Lampedusa with IASI radiances

et al. 2017

View full text Add to dashboard Cite

Abstract. In the context of the ChArMEx campaign, we present here some results concerning the quantitative comparison between simulated and observed radiances in the presence of atmospheric desert dust, between June and July 2013 in the southern Mediterranean Basin, in the air mass above the island of Lampedusa. In particular, comparisons have been performed between radiances as observed by the Infrared Atmospheric Sounder Interferometer (IASI) and those simulated using the σ -IASI-as radiative transfer model, which takes into account aerosol extinction effect through a set of fast parameterizations. Simulations have been carried out using different sets of input complex refractive indices, which take into account the parent soils of the aerosols. Their accuracy also relies on the quality of the characterization of desert dust microphysical properties, achieved through direct measurements in the ChArMEx experiment. On the one hand, the fact that the model can ingest such a variable input proves its feasibility. On the other hand, this work goes through a direct validation of different refractive index sets for desert dust in the thermal infrared, and pursues an assessment of the sensitivity of IASI data with respect to the dimensional distribution of desert dust particles. Results show a good consistency between calculations and observations, especially in the spectral interval 800-1000 cm −1 ; further, the comparison between calculations and observations suggests that further efforts are needed to better characterize desert dust optical properties in the shortwave (above 2000 cm −1 ). Whatever the case, we show that it is necessary to properly tune the refractive indices according to the geographical origin of the observed aerosol.

show abstract

A unified approach to infrared aerosol remote sensing and type specification

Cited by 120 publications

References 146 publications

A multi-wavelength classification method for polar stratospheric cloud types using infrared limb spectra

A multi-wavelength classification method for polar stratospheric cloud types using infrared limb spectra

Support to Aviation Control Service (SACS): an online service for near-real-time satellite monitoring of volcanic plumes

Consistency of dimensional distributions and refractive indices of desert dust measured over Lampedusa with IASI radiances

Contact Info

Product

Resources

About