Effect of extracranial lesion severity on outcome of endovascular thrombectomy in patients with anterior circulation tandem occlusion: analysis of the TITAN registry

Introduction Endovascular treatment (EVT) for tandem occlusion (TO) of the anterior circulation is complex but effective. The effect of extracranial internal carotid artery (EICA) lesion severity on the outcomes of EVT is unknown. In this study we investigated the effect of EICA lesion severity on the outcomes of tandem occlusion EVT. Methods A multicenter retrospective TITAN (Thrombectomy In TANdem lesions) study that included 18 international endovascular capable centers was performed. Patients who received EVT for atherosclerotic TO with or without EICA lesion intervention were included. Patients were divided into two groups based on the EICA lesion severity (high-grade stenosis (>= 90% North American Symptomatic Carotid Endarterectomy Trial) vs complete occlusion). Outcome measures included the 90-day clinical outcome (modified Rankin Scale score (mRS)), angiographic reperfusion (modified Thrombolysis In Cerebral Ischemia (mTICI) at the end of the procedure), procedural complications, and intracranial hemorrhage at 24 hours follow-up. Results A total of 305 patients were included in the study, of whom 135 had complete EICA occlusion and 170 had severe EICA stenosis. The EICA occlusion group had shorter mean onset-to-groin time (259 +/- 120 min vs 305 +/- 202 min;p=0.037), more patients with diabetes, and fewer with hyperlipidemia. With respect to the outcome, mTICI 2b-3 reperfusion was lower in the EICA occlusion group (70% vs 81%;p=0.03). The favorable outcome (90-day mRS 0-2), intracerebral hemorrhage and procedural complications were similar in both groups. Conclusion Atherosclerotic occlusion of the EICA in acute tandem strokes was associated with a lower rate of mTICI 2b-3 reperfusion but similar functional and safety outcomes when compared with high-grade EICA stenosis

Data quality of Aeolus wind measurements

The European Space Agency (ESA)'s Earth Explorer Aeolus was launched in August 2018 carrying the world's first spaceborne wind lidar, the Atmospheric Laser Doppler Instrument (ALADIN). ALADIN uses a high spectral resolution Doppler wind lidar operating at 355nm to determine profiles of line-of-sight wind components in near-real-time (NRT). ALADIN samples the atmosphere from 30km altitude down to the Earth's surface or to the level where the lidar signal is attenuated by optically thick clouds. The global wind profiles provided by ALADIN help to improve weather forecasting and the understanding of atmospheric dynamics as they fill observational gaps in vertically resolved wind profiles mainly in the tropics, southern hemisphere, and over the northern hemisphere oceans. Since 2020, multiple national and international weather centres (e.g. ECMWF, DWD, Météo France, MetOffice) assimilate Aeolus observations in their operational forecasting. Additionally, the scientific exploitation of the Aeolus dataset has started. A main prerequisite for beneficial impact and scientific exploitation is data of sufficient quality. Such high data quality has been achieved through close collaboration of all involved parties within the Aeolus Data Innovation and Science Cluster (DISC), which was established after launch to study and improve the data quality of Aeolus products. The tasks of the Aeolus DISC include the instrument and platform monitoring, calibration, characterization, retrieval algorithm refinement, processor evolution, quality monitoring, product validation, and impact assessment for NWP. The achievements of the Aeolus DISC for the NRT data quality and the one currently available reprocessed dataset will be presented. The data quality of the Aeolus wind measurements will be described and an outlook on planned improvements of the dataset and processors will be provided

The Aeolus Data Innovation and Science Cluster

The Data Innovation and Science Cluster (DISC) is a core element of ESA's data quality strategy for the Aeolus mission, which was launched in August 2018. Aeolus provides for the first-time global observations of vertical profiles of horizontal wind information by using the first Doppler wind lidar in space. The Aeolus DISC is responsible for monitoring and improving the quality of the Aeolus aerosol and wind products, for the upgrade of the operational processors as well as for impact studies and support of data usage. It has been responsible for multiple significant processor upgrades which reduced the systematic error of the Aeolus observations drastically. Only due to the efforts of the Aeolus DISC team members prior to and after launch, the systematic error of the Aeolus wind products could be reduced to a global average below 1 m/s which was an important pre-requisite for making the data available to the public in May 2020 and for its use in operational weather prediction. In 2020, the reprocessing of earlier acquired Aeolus data, another important task of the Aeolus DISC, also started. In this way, also observations from June to December 2019 with significantly better quality could be made available to the public, and more data will follow this and next year. Without the thorough preparations and close collaboration between ESA and the Aeolus DISC over the past decade, many of these achievements would not have been possible

Contributions from the DISC to accomplish the Aeolus mission objectives

The Aeolus Data Innovation and Science Cluster (DISC) supports the Aeolus mission with a wide range of activities from instrument and product quality monitoring over retrieval algorithm improvements to numerical weather prediction (NWP) impact assessments for wind and aerosols. The Aeolus DISC provides support to ESA, Cal/Val teams, numerical weather prediction (NWP) centers, and scientific users for instrument special operations and calibration, for the re-processing of Aeolus products from the past and through the provision of bi-annual updates of the L1A, L1B, L2A and L2B operational processors. The Aeolus DISC is coordinated by DLR with partners from ECMWF, KNMI, Météo-France, TROPOS, DoRIT, ABB, s&t, serco, OLA, Physics Solutions, IB Reissig and Les Myriades involving more than 40 scientists and engineers. The presentation will highlight the Aeolus DISC activities with a focus for the year 2021 and early 2022 since the last Aeolus workshop in November 2020. This covers the evolution of the instrument performance including investigations of the cause of the on-going signal loss and the achieved improvement via dedicated laser tests in 2021. In addition, refinements of algorithms and correction of the wind bias will be discussed - including a known remaining seasonal bias in October and March as encountered during the re-processing campaigns. Finally, the strategy for the on-going and future re-processing campaigns will be addressed to inform the scientific community about the availability and quality of the re-processed data products. The Aeolus mission has fully achieved its mission objectives including the unprecedented demonstration of direct-detection Doppler wind lidar technology and high-power laser operation in space in the ultraviolet spectral region over its planned full mission lifetime of 3 years and 3 months. Aeolus wind products have clearly demonstrated positive impact on forecasts using several NWP models. Since early 2020, and thus only 1.5 years after launch, the Aeolus wind products are used in operation at various NWP centers worldwide. This was achieved even despite the larger than expected wind random errors due to lower initial atmospheric signal levels and the observed signal losses during the operation of the first and second laser. In addition to this incredible success, first scientific studies demonstrated the use of Aeolus for atmospheric dynamics research in the stratosphere and for the analysis of aerosol transport. These achievements of the Aeolus mission and its success were only possible with the essential and critical contributions from the Aeolus DISC. This demonstrates the need and potential for setting up such scientific consortia covering a wide range of expertise from instrument, processors, and scientific use of products for Earth Explorer type missions. The invaluable experience gained by the Aeolus DISC during the more then 3 years of Aeolus mission in orbit (preceded by a period of 20 years before launch by a similar study team) is a pre-requisite for a successful preparation of an operational follow-on Aeolus-2 mission

Clouds over Greenland observed by CALIPSO

Plus de 80% du Groenland est recouvert de glace. Sa fonte contribue à l’augmentation du niveau des océans. Cette fonte peut être accélérée ou ralentie par les nuages qui modulent le rayonnement qui atteint la surface. Dans cette thèse, nous avons utilisé les mesures du satellite CALIPSO (produit GOCCP) pour documenter les nuages au-dessus du Groenland et éclaircir leur rôle sur la fonte de surface.Comparer ces observations avec des mesures radar et lidar réalisées à la station sol de Summit, au centre du Groenland, a montré que dans GOCCP les nuages optiquement très fins (τ < 0.3) ne sont pas détectés. Nous avons ensuite étendu l’analyse sur l’ensemble du Groenland et mis en évidence que la région nord est moins recouverte de nuages que la région sud en hiver et qu’en été, Summit, est l’une des régions les plus nuageuses en nuages liquides notamment.Pour comprendre cette particularité et les conditions favorables à la formation de nuages, nous avons utilisé des classifications en régime de temps. Cependant cette étude n’a pas mis à jour de liens entre la variabilité des nuages et la circulation atmosphérique ce qui montre la complexité de ces interactions et la nécessité d’accumuler plus d’observations sur des périodes de temps longues.Enfin nous avons évalué la représentation des nuages dans des observations lidar synthétiques, simulées à partir des sorties de modèles de climat CMIP5. Plusieurs biais qui empêchent les modèles de reproduire l’influence des nuages sur la fonte ont été identifiés. Les modèles sous estiment les températures de surface et les couvertures nuageuses. Les nuages simulés sont soit trop opaques soit trop fins pour accélérer la fonte.Over 80% of Greenland is covered by ice. Melting of this ice contributes to the sea level rise. By modulating the radiation reaching the surface, clouds can accelerate or slow down the melting. Through this thesis, we use CALIPSO satellite measurements (GOCCP product) to document clouds over Greenland, including their vertical structure, and understand their role in surface melting.We compare these observations with radar and lidar measurement taken from the Summit ground station in the middle of Greenland. The comparison shows that GOCCP does not include optically thin ice clouds (τ < 0.3). Extending this analysis over all Greenland shows that cloudiness follows different cloud annual cycles in North and South regions, and that Summit is one of the cloudiest regions of the Greenland especially for the liquid cloud cover.To understand the atmospheric conditions favorable to cloud formation, we follow two weather regime classification approaches. We do not find a clear relationship between cloud variability and atmospheric circulation. These results show the complexity of the interactions between clouds and synoptic circulation and highlight the need to accumulate more data over long time periods.Finally, we evaluate cloud representation over Greenland in simulated lidar profiles over output from CMIP5 climate models. We identify several biases that lead to models being unable to simulate surface melting. Models underestimate the surface temperature and the cloud cover. Also when clouds are simulated they are either too opaque or too thin to affect surface melting

Les nuages du Groenland observés par CALIPSO

Over 80% of Greenland is covered by ice. Melting of this ice contributes to the sea level rise. By modulating the radiation reaching the surface, clouds can accelerate or slow down the melting. Through this thesis, we use CALIPSO satellite measurements (GOCCP product) to document clouds over Greenland, including their vertical structure, and understand their role in surface melting.We compare these observations with radar and lidar measurement taken from the Summit ground station in the middle of Greenland. The comparison shows that GOCCP does not include optically thin ice clouds (τ < 0.3). Extending this analysis over all Greenland shows that cloudiness follows different cloud annual cycles in North and South regions, and that Summit is one of the cloudiest regions of the Greenland especially for the liquid cloud cover.To understand the atmospheric conditions favorable to cloud formation, we follow two weather regime classification approaches. We do not find a clear relationship between cloud variability and atmospheric circulation. These results show the complexity of the interactions between clouds and synoptic circulation and highlight the need to accumulate more data over long time periods.Finally, we evaluate cloud representation over Greenland in simulated lidar profiles over output from CMIP5 climate models. We identify several biases that lead to models being unable to simulate surface melting. Models underestimate the surface temperature and the cloud cover. Also when clouds are simulated they are either too opaque or too thin to affect surface melting.Plus de 80% du Groenland est recouvert de glace. Sa fonte contribue à l’augmentation du niveau des océans. Cette fonte peut être accélérée ou ralentie par les nuages qui modulent le rayonnement qui atteint la surface. Dans cette thèse, nous avons utilisé les mesures du satellite CALIPSO (produit GOCCP) pour documenter les nuages au-dessus du Groenland et éclaircir leur rôle sur la fonte de surface.Comparer ces observations avec des mesures radar et lidar réalisées à la station sol de Summit, au centre du Groenland, a montré que dans GOCCP les nuages optiquement très fins (τ < 0.3) ne sont pas détectés. Nous avons ensuite étendu l’analyse sur l’ensemble du Groenland et mis en évidence que la région nord est moins recouverte de nuages que la région sud en hiver et qu’en été, Summit, est l’une des régions les plus nuageuses en nuages liquides notamment.Pour comprendre cette particularité et les conditions favorables à la formation de nuages, nous avons utilisé des classifications en régime de temps. Cependant cette étude n’a pas mis à jour de liens entre la variabilité des nuages et la circulation atmosphérique ce qui montre la complexité de ces interactions et la nécessité d’accumuler plus d’observations sur des périodes de temps longues.Enfin nous avons évalué la représentation des nuages dans des observations lidar synthétiques, simulées à partir des sorties de modèles de climat CMIP5. Plusieurs biais qui empêchent les modèles de reproduire l’influence des nuages sur la fonte ont été identifiés. Les modèles sous estiment les températures de surface et les couvertures nuageuses. Les nuages simulés sont soit trop opaques soit trop fins pour accélérer la fonte

Aeolus L2A Aerosol Optical Properties Product: Standard Correct Algorithm and Mie Correct Algorithm

Abstract. Aeolus carries ALADIN, the first High Spectral Resolution Lidar (HSRL) in space. Although ALADIN was optimized to measure winds, its two measurement channels can also be used to derive optical properties of atmospheric particles, including a direct retrieval of the lidar ratio. This paper presents the two main algorithms of the optical properties product called Level 2A product, as they are implemented in version 3.12 of the processor, corresponding to the data labelled Baseline 12. The theoretical basis is the same as in Flamant et al. (2008). Here, we also show the in orbit performance of these algorithms. We also explain the adaptation of the calibration method, which is needed to cope with unforeseen variations of the instrument radiometric performance due to the in-orbit strain of the primary mirror under varying thermal conditions. Then we discuss the limitations of the algorithms and future improvements. We demonstrate that the L2A product provides valuable information about airborne particles, in particular we demonstrate the capacity to retrieve a useful lidar ratio from Aeolus observations. This is illustrated on a case of Saharan dust emission, observed in June 2020

Aeolus aerosol and cloud product

International audience&lt;p&gt;The European Satellite has the first space-borne high-spectral resolution UV lidar onboard called ALADIN. Two detection channels, a broadband (Rayleigh channel) and a narrowband (Mie channel), are implemented. Carefully calibrated, this combination offers the possibility to derive independent estimates of the backscatter and extinction coefficients of clouds andaerosols, leading to a direct estimation of the lidar ratio, useful for aerosol classification.&lt;/p&gt;&lt;p&gt;The presentation will show how the official processor of the mission works for the retrieval of optical properties of cloud and aerosol particles, with a focus on the currently available products (called L2A). The potential of the L2A processor will be illustrated by results obtained on data acquired since Aeolus launch and by comparisons to ground based lidars in the frame of Cal/Val activities.&lt;/p&gt;&lt;p&gt;The L2A product will become publicly available during Spring 2021. Thus, this is also an opportunity to introduce a few practical aspects about its usage.&lt;/p&gt