54 research outputs found
Earlinet - lidar algorithm intercomparison
Postprint (published version
Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in EARLINET
The financial support by the European Union's Horizon 2020 research and innovation programme (ACTRIS-2, grant agreement no. 654109) is gratefully acknowledged. The background of LIRIC algorithm and software was developed under the ACTRIS Research Infrastructure project, grant agreement no. 262254, within the European Union Seventh Framework Programme, which financial support is gratefully acknowledged.r I. Binietoglou received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under the grant agreement no. 289923 - ITARS.This paper presents a detailed description of
LIRIC (LIdar-Radiometer Inversion Code) algorithm for simultaneous processing of coincident lidar and radiometric
(sun photometric) observations for the retrieval of the aerosol
concentration vertical profiles. As the lidar/radiometric input data we use measurements from European Aerosol Research Lidar Network (EARLINET) lidars and collocated
sun-photometers of Aerosol Robotic Network (AERONET).
The LIRIC data processing provides sequential inversion of
the combined lidar and radiometric data. The algorithm starts
with the estimations of column-integrated aerosol parameters
from radiometric measurements followed by the retrieval of
height dependent concentrations of fine and coarse aerosols
from lidar signals using integrated column characteristics of aerosol layer as a priori constraints. The use of polarized lidar observations allows us to discriminate between spherical
and non-spherical particles of the coarse aerosol mode.
The LIRIC software package was implemented and tested
at a number of EARLINET stations. Intercomparison of the
LIRIC-based aerosol retrievals was performed for the observations by seven EARLINET lidars in Leipzig, Germany on
25 May 2009. We found close agreement between the aerosol
parameters derived from different lidars that supports high
robustness of the LIRIC algorithm. The sensitivity of the retrieval results to the possible reduction of the available observation data is also discussed.European Union (EU)
654109ACTRIS Research Infrastructure project within the European Union
262254European Union (EU)
289923 - ITAR
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Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: Development and distribution in EARLINET
This paper presents a detailed description of LIRIC (LIdar-Radiometer Inversion Code) algorithm for simultaneous processing of coincident lidar and radiometric (sun photometric) observations for the retrieval of the aerosol concentration vertical profiles. As the lidar/radiometric input data we use measurements from European Aerosol Research Lidar Network (EARLINET) lidars and collocated sun-photometers of Aerosol Robotic Network (AERONET). The LIRIC data processing provides sequential inversion of the combined lidar and radiometric data. The algorithm starts with the estimations of column-integrated aerosol parameters from radiometric measurements followed by the retrieval of height dependent concentrations of fine and coarse aerosols from lidar signals using integrated column characteristics of aerosol layer as a priori constraints. The use of polarized lidar observations allows us to discriminate between spherical and non-spherical particles of the coarse aerosol mode.
The LIRIC software package was implemented and tested at a number of EARLINET stations. Intercomparison of the LIRIC-based aerosol retrievals was performed for the observations by seven EARLINET lidars in Leipzig, Germany on 25 May 2009. We found close agreement between the aerosol parameters derived from different lidars that supports high robustness of the LIRIC algorithm. The sensitivity of the retrieval results to the possible reduction of the available observation data is also discussed
Long-term aerosol and cloud database from correlative EARLINET-CALIPSO observations
The European Aerosol Research Lidar Network,
EARLINET, performs correlative observations during
CALIPSO overpasses based on a sophisticated measurement
strategy since June 2006. Within a dedicated
activity supported by the European Space Agency
(ESA), sixteen EARLINET stations contributed about
1500 measurements during an intensive observational
period from May 2008 to October 2009. From these
measurements, we establish a long-term aerosol and
cloud database of correlative EARLINET-CALIPSO
observations. This database shall provide a basis for
homogenizing long-term space-borne observations
conducted with different lidar instruments operating
at different wavelengths on various platforms over the
next decade(s). The database is also used to study the
quality and representativeness of satellite lidar cross
sections along an orbit against long-term lidar network
observations on a continental scale.Postprint (published version
EARLINET instrument intercomparison campaigns: overview on strategy and results
This paper introduces the recent European Aerosol Research Lidar Network (EARLINET) quality-assurance efforts at instrument level. Within two dedicated campaigns and five single-site intercomparison activities, 21 EARLINET systems from 18 EARLINET stations were intercompared between 2009 and 2013. A comprehensive strategy for campaign setup and data evaluation has been established. Eleven systems from nine EARLINET stations participated in the EARLINET Lidar Intercomparison 2009 (EARLI09). In this campaign, three reference systems were qualified which served as traveling standards thereafter. EARLINET systems from nine other stations have been compared against these reference systems since 2009. We present and discuss comparisons at signal and at product level from all campaigns for more than 100 individual measurement channels at the wavelengths of 355, 387, 532, and 607Âżnm. It is shown that in most cases, a very good agreement of the compared systems with the respective reference is obtained. Mean signal deviations in predefined height ranges are typically below ±2Âż%. Particle backscatter and extinction coefficients agree within ±2¿¿Ă¿¿10-4Âżkm-1Âżsr-1 and ±¿0.01Âżkm-1, respectively, in most cases. For systems or channels that showed larger discrepancies, an in-depth analysis of deficiencies was performed and technical solutions and upgrades were proposed and realized. The intercomparisons have reinforced confidence in the EARLINET data quality and allowed us to draw conclusions on necessary system improvements for some instruments and to identify major challenges that need to be tackled in the future.Peer ReviewedPostprint (published version
Infected pancreatic necrosis: outcomes and clinical predictors of mortality. A post hoc analysis of the MANCTRA-1 international study
: The identification of high-risk patients in the early stages of infected pancreatic necrosis (IPN) is critical, because it could help the clinicians to adopt more effective management strategies. We conducted a post hoc analysis of the MANCTRA-1 international study to assess the association between clinical risk factors and mortality among adult patients with IPN. Univariable and multivariable logistic regression models were used to identify prognostic factors of mortality. We identified 247 consecutive patients with IPN hospitalised between January 2019 and December 2020. History of uncontrolled arterial hypertension (pâ=â0.032; 95% CI 1.135-15.882; aOR 4.245), qSOFA (pâ=â0.005; 95% CI 1.359-5.879; aOR 2.828), renal failure (pâ=â0.022; 95% CI 1.138-5.442; aOR 2.489), and haemodynamic failure (pâ=â0.018; 95% CI 1.184-5.978; aOR 2.661), were identified as independent predictors of mortality in IPN patients. Cholangitis (pâ=â0.003; 95% CI 1.598-9.930; aOR 3.983), abdominal compartment syndrome (pâ=â0.032; 95% CI 1.090-6.967; aOR 2.735), and gastrointestinal/intra-abdominal bleeding (pâ=â0.009; 95% CI 1.286-5.712; aOR 2.710) were independently associated with the risk of mortality. Upfront open surgical necrosectomy was strongly associated with the risk of mortality (pâ<â0.001; 95% CI 1.912-7.442; aOR 3.772), whereas endoscopic drainage of pancreatic necrosis (pâ=â0.018; 95% CI 0.138-0.834; aOR 0.339) and enteral nutrition (pâ=â0.003; 95% CI 0.143-0.716; aOR 0.320) were found as protective factors. Organ failure, acute cholangitis, and upfront open surgical necrosectomy were the most significant predictors of mortality. Our study confirmed that, even in a subgroup of particularly ill patients such as those with IPN, upfront open surgery should be avoided as much as possible. Study protocol registered in ClinicalTrials.Gov (I.D. Number NCT04747990)
Multiwavelengths lidar to detect atmospheric aerosol properties
The peculiarity of lidar systems is to provide profiles of optical properties of the atmosphere. The use of specific wavelengths and the selection of different kinds of backscattering (elastic, Raman, polarisation selective) permit to obtain information about suspended particles (aerosols). The authors show here a case study in which particle signals are detected from the boundary layer up to the stratosphere. Information on the size distribution of the different layers can be obtained, using a graphical method relying on the spectral dependence of aerosol extinction. The authors apply this method, for the first time to their knowledge, to stratospheric aerosol
Aerosol Characterization over southeastern Italy by multi-wavelength lidar measurements.
Three wavelengths (355nm, 532nm and 1064nm) lidar measurements have been performed at the Physics Department of Salento University (40.20 N, 18.06 E) to characterize aerosol optical properties and their dependence on altitude. Results on four case studies representative of different aerosol types at the monitoring site are presented in this work
Profiling of fine- and coarse-mode particles with LIRIC (LIdar/Radiometer Inversion Code)
The paper investigates numerical procedures that allow determining the dependence
on altitude of aerosol properties from multi wavelength elastic lidar signals. In particular,
the potential of the LIdar/Radiometer Inversion Code (LIRIC) to retrieve the ver-
5 tical profiles of fine and coarse-mode particles by combining 3-wavelength lidar measurements
and collocated AERONET (AErosol RObotic NETwork) sun/sky photometer
measurements is investigated
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