The Mineral Aerosol Profiling from Infrared Radiances (MAPIR) algorithm: version 4.1 description and evaluation

Callewaert, Sieglinde; Vandenbussche, Sophie; Kumps, Nicolas; Kylling, Arve; Shang, Xiaoxia; Komppula, Mika; Goloub, Philippe; Mazière, Martine De

doi:10.5194/amt-12-3673-2019

Cited by 14 publications

(17 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most obvious one is the CALIPSO dataset, which has been observing the global aerosol distribution since 2006 (Winker et al, 2010;Tsamalis et al, 2013), and in the future Earth-CARE is expected to be another very good candidate (Illingworth et al, 2015). Note that this perspective is not limited to using active sensors, and studies exist on the observation of the vertically resolved distribution from passive hyperspectral instruments in the infrared (Callewaert et al, 2019). In the long term, providing observations not only of AOD, but also of the vertical distribution of aerosols, could become the driver for operational space missions.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies which have looked at this issue more comprehensively do, however, suggest that there is an underprediction of wind fields in the models, which is also linked to coarse-resolution modelling (e.g. Chouza et al, 2016). Evan et al (2016) showed that desert dust emission is to first order a function of wind speed, and it is against this quantity that models parameterise the dust source.…”

Section: Effect Of Large-scale Wind and Boundary Layer Heightmentioning

confidence: 99%

“…However, there have been few studies assessing how well the vertical distribution of dust is captured in models. For example, Chouza et al (2016) found that the European Centre for Medium-Range Weather Forecasts (ECMWF) MACC model (precursor to the CAMS model considered here) simulated Saharan plumes that matched the vertical distribution but underestimated the marine boundary layer aerosol extinction, compensating for the missing AOD with an overestimate of the dust layer intensity. More recently, Ansmann et al (2017) found that dust models, including the one run at the ECMWF, were able to forecast dust well for the first few days after emission but that the modelled loss processes were too strong, leading to an underestimation with increasing distance from the source.…”

Section: Introductionmentioning

confidence: 95%

“…Heintzenberg, 2009;Ansmann et al, 2011;Kanitz et al, 2014;Ryder et al, 2015;Groß et al, 2015, among many others) and the ability of models to predict dust events (e.g. Chouza et al, 2016;Ansmann et al, 2017). However, there have been few studies assessing how well the vertical distribution of dust is captured in models.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations

et al. 2020

View full text Add to dashboard Cite

Abstract. We investigate the dust forecasts from two operational global atmospheric models in comparison with in situ and remote sensing measurements obtained during the AERosol properties – Dust (AER-D) field campaign. Airborne elastic backscatter lidar measurements were performed on board the Facility for Airborne Atmospheric Measurements during August 2015 over the eastern Atlantic, and they permitted us to characterise the dust vertical distribution in detail, offering insights on transport from the Sahara. They were complemented with airborne in situ measurements of dust size distribution and optical properties, as well as datasets from the Cloud–Aerosol Transport System (CATS) spaceborne lidar and the Moderate Resolution Imaging Spectroradiometer (MODIS). We compare the airborne and spaceborne datasets to operational predictions obtained from the Met Office Unified Model (MetUM) and the Copernicus Atmosphere Monitoring Service (CAMS). The dust aerosol optical depth predictions from the models are generally in agreement with the observations but display a low bias. However, the predicted vertical distribution places the dust lower in the atmosphere than highlighted in our observations. This is particularly noticeable for the MetUM, which does not transport coarse dust high enough in the atmosphere or far enough away from the source. We also found that both model forecasts underpredict coarse-mode dust and at times overpredict fine-mode dust, but as they are fine-tuned to represent the observed optical depth, the fine mode is set to compensate for the underestimation of the coarse mode. As aerosol–cloud interactions are dependent on particle numbers rather than on the optical properties, this behaviour is likely to affect their correct representation. This leads us to propose an augmentation of the set of aerosol observations available on a global scale for constraining models, with a better focus on the vertical distribution and on the particle size distribution. Mineral dust is a major component of the climate system; therefore, it is important to work towards improving how models reproduce its properties and transport mechanisms.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Effect Of Large-scale Wind and Boundary Layer Heightmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Adapted from Cuesta et al (2009) [Colour figure can be viewed at wileyonlinelibrary.com] et al, 2010) and IASI (Infrared Atmospheric Sounding Interferometer; Kylling et al, 2018). Vertical profiles of dust load have been derived from IASI, initially over ocean with limited coverage over land (Vandenbussche et al, 2013) and more recently over both land and ocean (Cuesta et al, 2015;Callewaert et al, 2019). Moreover, IASI measurements have enabled the first 3D observations of both the vertical distribution and the horizontal structure of dust plumes with full coverage for cloud-free conditions, on a daily basis and over all surfaces (both land and ocean) using the so-called AEROIASI approach (Cuesta et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Three‐dimensional pathways of dust over the Sahara during summer 2011 as revealed by new Infrared Atmospheric Sounding Interferometer observations

Cuesta

Flamant

Gaetani

et al. 2020

Quart J Royal Meteoro Soc

View full text Add to dashboard Cite

We present a new characterisation of the three‐dimensional (3D) distribution of dust over the Sahara during summer, exemplified for June 2011. Our approach, called AEROIASI, is based on the innovative retrieval of vertical profiles of the dust extinction coefficient from daily cloud‐free hyperspectral Infrared Atmospheric Sounder Interferometer (IASI) satellite observations. AEROIASI observations clearly agree with other widely used measurements (from lidar and radiometers). The 3D characterisation is focused on the dust maximum in June 2011, located in the central Sahara (17–23°N, 1–7°E) and linked to the major atmospheric dynamical drivers associated with the West African Monsoon (WAM) system. AEROIASI shows the near‐surface dust load to be dominated by five major emission events occurring every 3–4 days. These all occur when the study region is under the influence of northward bursts of the WAM and convection‐related cold pools, likely associated with orographic forcing by the Aïr Mountains. During the earliest (June 10) and the dustiest (June 17) cases, northward advection of moisture over the hotspot is favoured by the superposition of cyclonic circulations related to an extratropical disturbance northwest of the Sahara and to the Saharan heat low over Mauritania, respectively. Convection over the hotspot also triggers wave‐like disturbances that travel westwards. The three dustiest events are characterised by elongated dust fronts moving northwards, with a leading edge spanning 200–300 km horizontally and extending from the surface up to 2 km of altitude. Further south, the dust layer progressively elevates to 3.5 km along the slanted isentropes at the interface of the monsoon and the harmattan, increasingly losing contact with the ground. When northerlies blow over the study region, elevated dust layers at 3–5 km are observed, which are transported southwards within the Saharan air layer and westwards along the northern edge of the African easterly jet (after June 13).

show abstract

History of Mediterranean Aerosol Observations

Dulac¹,

Mihalopoulos²,

Kaskaoutis³

et al. 2023

Atmospheric Chemistry in the Mediterranean Region

View full text Add to dashboard Cite

The Mineral Aerosol Profiling from Infrared Radiances (MAPIR) algorithm: version 4.1 description and evaluation

Cited by 14 publications

References 54 publications

Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations

Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations

Three‐dimensional pathways of dust over the Sahara during summer 2011 as revealed by new Infrared Atmospheric Sounding Interferometer observations

History of Mediterranean Aerosol Observations

Contact Info

Product

Resources

About