Surface matters: limitations of CALIPSO V3 aerosol typing in coastal regions

Kanitz, Thomas; Ansmann, Albert; Foth, Andreas; Seifert, Patric; Wandinger, Ulla; Engelmann, Ronny; Baars, Holger; Althausen, Dietrich; Casiccia, C.; Zamorano, Félix

doi:10.5194/amt-7-2061-2014

Cited by 28 publications

(29 citation statements)

References 45 publications

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“…Besides, CALIPSO underestimated the outflow of anthropogenic pollution from coastal sites towards the sea, as these aerosols are wrongly flagged as marine if observed over the sea. This situation was observed for the grid cell of Naples and is in agreement with the outcome of Kanitz et al (2014).…”

Section: General Findings and Discussionsupporting

confidence: 79%

CALIPSO climatological products: evaluation and suggestions from EARLINET

et al. 2016

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Abstract. The CALIPSO Level 3 (CL3) product is the most recent data set produced by the observations of the CloudAerosol Lidar with Orthogonal Polarization (CALIOP) instrument onboard the Cloud-Aerosol Lidar and Pathfinder Satellite Observations (CALIPSO) space platform. The European Aerosol Research Lidar Network (EARLINET), based mainly on multi-wavelength Raman lidar systems, is the most appropriate ground-based reference for CALIPSO calibration/validation studies on a continental scale. In this work, CALIPSO data are compared against EARLINET monthly averaged profiles obtained by measurements performed during CALIPSO overpasses. In order to mitigate uncertainties due to spatial and temporal differences, we reproduce a modified version of CL3 data starting from CALIPSO Level 2 (CL2) data. The spatial resolution is finer and nearly 2 • × 2 • (latitude × longitude) and only simultaneous measurements are used for ease of comparison. The CALIPSO monthly mean profiles following this approach are called CALIPSO Level 3 * , CL3 * . We find good agreement on the aerosol extinction coefficient, yet in most of the cases a small CALIPSO underestimation is observed with an average bias of 0.02 km −1 up to 4 km and 0.003 km −1 higher above. In contrast to CL3 standard product, the CL3 * data set offers the possibility to assess the CALIPSO performance also in terms of the particle backscatter coefficient keeping the same quality assurance criteria applied to extinction profiles. The mean relative difference in the comparison improved from 25 % for extinction to 18 % for backscatter, showing better performances of CALIPSO backscatter retrievals. Additionally, the aerosol typing comparison yielded a robust identification of dust and polluted dust. Moreover, the CALIPSO aerosol-type-dependent lidar ratio selection is assessed by means of EARLINET observations, so as to investigate the performance of the extinction retrievals. The aerosol types of dust, polluted dust, and clean continental showed noticeable discrepancy. Finally, the potential improvements of the lidar ratio assignment have been examined by adjusting it according to EARLINET-derived values.

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Section: General Findings and Discussionsupporting

confidence: 79%

CALIPSO climatological products: evaluation and suggestions from EARLINET

et al. 2016

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“…The CALIOP products (backscatter and extinction coefficients) are determined by using lidar-ratio look-up tables Kanitz et al, 2014). For desert dust scenarios, the lidar ratio is set to 40 sr. Our own measurements yield a particle (dust plus non-dust) lidar ratio of 55 sr for the total tropospheric column following the complex data analysis procedure described by Mamouri et al (2013).…”

Section: Resultsmentioning

confidence: 99%

Estimated desert-dust ice nuclei profiles from polarization lidar: methodology and case studies

Mamouri

Ansmann

2015

Atmos. Chem. Phys.

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Abstract.A lidar method is presented that permits the estimation of height profiles of ice nuclei concentrations (INC) in desert dust layers. The polarization lidar technique is applied to separate dust and non-dust backscatter and extinction coefficients. The desert dust extinction coefficients σ d are then converted to aerosol particle number concentrations APC 280 which consider particles with radius > 280 nm only. By using profiles of APC 280 and ambient temperature T along the laser beam, the profile of INC can be estimated within a factor of 3 by means of APC-T -INC parameterizations from the literature. The observed close relationship between σ d at 500 nm and APC 280 is of key importance for a successful INC retrieval. We studied this link by means of AERONET (Aerosol Robotic Network) sun/sky photometer observations at Morocco, Cabo Verde, Barbados, and Cyprus during desert dust outbreaks.

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“…Tackett, personal communication, 2013). More analysis on the CALIPSO "hard limit" that can be potentially imposed on the aerosol classification at coastal areas due to the different land/ocean classification criteria can be found in the work of Kanitz et al (2014). Due to this discontinuity we decided to perform our analysis at the land and ocean parts separately in order to examine the possible differences present in CALIPSO L2 product.…”

Section: Acemed Flight Overviewmentioning

confidence: 99%

Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in situ and remote sensing

et al. 2017

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Abstract. We present the In situ/Remote sensing aerosol Retrieval Algorithm (IRRA) that combines airborne in situ and lidar remote sensing data to retrieve vertical profiles of ambient aerosol optical, microphysical and hygroscopic properties, employing the ISORROPIA II model for acquiring the particle hygroscopic growth. Here we apply the algorithm on data collected from the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 research aircraft during the ACEMED campaign in the Eastern Mediterranean. Vertical profiles of aerosol microphysical properties have been derived successfully for an aged smoke plume near the city of Thessaloniki with aerosol optical depth of ∼ 0.4 at 532 nm, single scattering albedos of ∼ 0.9-0.95 at 550 nm and typical lidar ratios for smoke of ∼ 60-80 sr at 532 nm. IRRA retrieves highly hydrated particles above land, with 55 and 80 % water volume content for ambient relative humidity of 80 and 90 %, respectively. The proposed methodology is highly advantageous for aerosol characterization in humid conditions and can find valuable applications in aerosolcloud interaction schemes. Moreover, it can be used for the validation of active space-borne sensors, as is demonstrated here for the case of CALIPSO.

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Surface matters: limitations of CALIPSO V3 aerosol typing in coastal regions

Cited by 28 publications

References 45 publications

CALIPSO climatological products: evaluation and suggestions from EARLINET

CALIPSO climatological products: evaluation and suggestions from EARLINET

Estimated desert-dust ice nuclei profiles from polarization lidar: methodology and case studies

Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in situ and remote sensing

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