Damien Josset

ORCID: 0000-0003-0552-1713
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About
Contact & Profiles
Research Areas
  • Atmospheric aerosols and clouds
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric chemistry and aerosols
  • Atmospheric Ozone and Climate
  • Meteorological Phenomena and Simulations
  • Marine and coastal ecosystems
  • Oceanographic and Atmospheric Processes
  • Ocean Waves and Remote Sensing
  • Remote Sensing in Agriculture
  • Aeolian processes and effects
  • Calibration and Measurement Techniques
  • Oil Spill Detection and Mitigation
  • Water Quality Monitoring and Analysis
  • Remote Sensing and LiDAR Applications
  • Adaptive optics and wavefront sensing
  • Laser-induced spectroscopy and plasma
  • Remote-Sensing Image Classification
  • Advanced Optical Sensing Technologies
  • Optical Systems and Laser Technology
  • Infrared Target Detection Methodologies
  • Optical Polarization and Ellipsometry
  • Image Enhancement Techniques
  • Water Quality Monitoring Technologies
  • Fluid Dynamics and Turbulent Flows
  • Optical Wireless Communication Technologies

Stennis Space Center
2015-2025

United States Naval Research Laboratory
2015-2024

Neurobehavioral Research Laboratory and Clinic
2023

Science Systems and Applications (United States)
2010-2018

Langley Research Center
2009-2018

K Lab (United States)
2015

Science and Technology Corporation (United States)
2013

Laboratoire atmosphères, milieux, observations spatiales
2009-2012

Sorbonne Université
2008-2012

Support Systems Associates (United States)
2011

The CALIOP depolarization measurements, combined with backscatter intensity are effective in discriminating between water clouds and ice clouds. same measurements can also be used for estimating liquid content information. Using cloud temperature information from the collocated infrared imaging radiometer paths MODIS this study compiles global statistics of occurrence frequency, content, path, their dependence. For temperatures −40°C 0°C, phase fractions significantly higher than ones...

10.1029/2009jd012384 article EN Journal of Geophysical Research Atmospheres 2010-02-27

Abstract. In this paper, we analyze the performance of Infrared Atmospheric Sounding Interferometer (IASI), launched in October 2006 on board METOP-A, for monitoring carbon monoxide (CO) during extreme fire events, focusing record-breaking fires which devastated thousands square kilometers forest Greece last week (23–30) August 2007. After an assessment quality profiles retrieved using Fast Optimal Retrievals Layers IASI (FORLI) algorithm, information provided emissions and subsequent...

10.5194/acp-9-4897-2009 article EN cc-by Atmospheric chemistry and physics 2009-07-24

Data products from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on board and Infrared Pathfinder Satellite Observations (CALIPSO) were recently updated following implementation of new (version 4) calibration algorithms for all level 1 attenuated backscatter measurements. In this work we present motivation version 4 nighttime 532 nm parallel channel calibration. The is most fundamental CALIOP data, since CALIOP's other radiometric procedures - i.e., daytime 1064 calibrations...

10.5194/amt-11-1459-2018 article EN cc-by Atmospheric measurement techniques 2018-03-14

Abstract. Radiometric calibration of space-based elastic backscatter lidars is accomplished by comparing the measured signals to theoretically expected computed for some well-characterized target. For any given system and wavelength, choice target dictated several considerations, including signal-to-noise ratio (SNR) availability. This paper describes newly implemented procedures used calibrate 1064 nm measurements acquired CALIOP (i.e., Cloud-Aerosol Lidar with Orthogonal Polarization),...

10.5194/amt-12-51-2019 article EN cc-by Atmospheric measurement techniques 2019-01-03

Ocean surface observations from the CloudSat radar and spaceborne lidar aboard Cloud Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) platform are combined in Synergized Optical Depth of (SODA) algorithm used to retrieve optical depth semitransparent single‐layered cirrus clouds. In operational CALIPSO data analysis, lidar‐derived depths typically estimated using a correction factor for multiple scattering effects single global mean ratio. By combining SODA approach with...

10.1029/2011jd016959 article EN Journal of Geophysical Research Atmospheres 2012-01-19

Abstract. Pollutant plumes with enhanced concentrations of trace gases and aerosols were observed over the southern coast West Africa during August 2006 as part AMMA wet season field campaign. Plumes both in mid upper troposphere. In this study we examined origin these pollutant plumes, their potential to photochemically produce ozone (O3) downwind Atlantic Ocean. Their possible contribution O3 maximum is also discussed. Runs using BOLAM mesoscale model including biomass burning carbon...

10.5194/acp-10-3027-2010 article EN cc-by Atmospheric chemistry and physics 2010-03-30

This paper presents a comparison of combined Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) with Orthogonal Polarization (CALIOP) extinction retrievals airborne lidar in situ cirrus cloud measurements. Specially oriented research flights were carried out western Europe May 2007 during the Cirrus Cloud Experiment (CIRCLE‐2) German Deutsches Zentrum für Luft‐ und Raumfahrt (DLR) French Service des Avions Français Instrumentés pour la Recherche en Environnement...

10.1029/2009jd012376 article EN Journal of Geophysical Research Atmospheres 2010-02-27

Backscatter lidar observations such as those provided by the CALIPSO mission are expected to give complementary information long‐used radiometric for aerosol properties characterization important climate and environment issues. However, retrieving optical depth (AOD) profiling extinction cannot be done accurately applying a standard inversion procedure backscatter measurements, without precise knowledge of on vertical. The objective this first study is propose new approach quantify AOD over...

10.1029/2008gl033442 article EN Geophysical Research Letters 2008-05-01

Abstract. Retrievals of aerosol optical depth (AOD) from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) satellite sensor require assumption extinction-to-backscatter ratio, also known as lidar ratio. This paper evaluates a new method to calculate ratio marine aerosols using two independent sources: AOD Synergized Optical Depth Aerosols (SODA) project and integrated attenuated backscatter CALIOP. With this method, particulate can be derived for individual CALIOP retrievals in...

10.5194/acp-15-3241-2015 article EN cc-by Atmospheric chemistry and physics 2015-03-23

Abstract. This study presents a comparison between the retrieval of optical properties aerosol above clouds (AAC) from different techniques developed for A-Train sensors CALIOP/CALIPSO and POLDER/PARASOL. The main objective is to analyse consistency results derived active passive measurements. We compare thickness (AOT) optically thick (cloud (COT) larger than 3) their Ångström exponent (AE). These parameters are retrieved with CALIOP operational method, POLDER polarization method...

10.5194/amt-10-3499-2017 article EN cc-by Atmospheric measurement techniques 2017-09-22

10.1109/jstars.2025.3543680 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025-01-01

A-Train platforms offer the possibility of measuring same physical parameters using active and passive instruments, to improve our understanding geophysical processes in Earth system. In this letter, a new calibration approach is developed [Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observation (CALIPSO) lidar CloudSat radar] [Advanced Microwave Scanning Radiometer for Observing System (AMSR-E)] instruments. The an existing oceanic surface model are first adjusted give consistent sea...

10.1109/lgrs.2009.2030906 article EN IEEE Geoscience and Remote Sensing Letters 2009-11-03

We are demonstrating on a few cases the capability of CALIPSO to retrieve 532 nm lidar ratio over ocean when CloudSat surface scattering cross section is used as constraint. presenting algorithm and comparisons with column retrieved by NASA airborne high spectral resolution lidar. For three presented here, agreement fairly good. The average bias 13.7% relative HSRL, standard deviation 13.6%. Considering natural variability aerosol microphysical properties, this level accuracy significant...

10.1364/oe.19.018696 article EN cc-by Optics Express 2011-09-09

Abstract. We assess the CALIPSO Version 4.2 (V4) aerosol typing and assigned lidar ratios over ocean using optical depth (AOD) retrievals from Synergized Optical Depth of Aerosols (SODA) algorithm retrieved columnar ratio estimated by combining SODA AOD attenuated backscatter (CALIPSO–SODA). Six types – clean marine, dusty dust, polluted continental/smoke, elevated smoke are characterized CALIPSO–SODA results compared against prescribed V4 ratios, when only one type is present in atmospheric...

10.5194/amt-15-2745-2022 article EN cc-by Atmospheric measurement techniques 2022-05-06

This paper presents the NRL shipboard LiDAR and first dataset of underwater bubbles. The meaning these observations, algorithms used their current limitations are discussed. derivation multiple scattering regime is derived from observations theory. detection bubble presence depth straightforward to estimate depolarized laser return. strongly suggest that whitecaps term in equation formalism needs be revisited. retrieval fraction air volume within a given water (void fraction) possible...

10.1364/oe.515936 article EN cc-by Optics Express 2024-05-07

The lidar equation for ocean at optical wavelengths including subsurface signals is revisited using the recent work of radiative transfer and color community passive measurements.The previous form specular echo term are corrected from their heritage, which originated remote sensing whitecaps, improved more accurate use in future research.A expression return presented.The formalism does not correctly address angular dependency overestimates by a factor ranging 89% to 194% nadir pointing...

10.1364/oe.18.020862 article EN cc-by Optics Express 2010-09-17

Abstract In the frame of validation spatial observations from radiometer IIR on board CALIPSO, two airborne campaigns Cirrus Cloud Experiment (CIRCLE)-2 and Biscay ‘08 took place in 2007 2008 western part France, over Atlantic Ocean. During these experiments, remote sensing measurements were made cirrus clouds, right under track Cloud–Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) space time collocation. For this purpose, a Falcon-20 aircraft was equipped with pour...

10.1175/jtech-d-11-00143.1 article EN Journal of Atmospheric and Oceanic Technology 2012-01-26

A realistic nonspherical model for Emiliania huxleyi (EHUX) is built, based on electron micrographs of coccolithophore cells.The Inherent Optical Properties (IOP) the EHUX are then calculated numerically by using discrete dipole approximation.The includes a near-spherical core with refractive index 1.04 + m i j, and carbonate shell formed smaller coccoliths 1.2 where = 0 or 0.01 j 2 -1.The reported IOP Mueller scattering matrix, backscattering probability, depolarization ratio.Our...

10.1364/oe.21.017625 article EN cc-by Optics Express 2013-07-16

Abstract. Aerosol extinction coefficients (σa) and lidar ratios (LRs) are retrieved over the ocean from CALIPSO's Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) attenuated backscatter profiles by solving equation constrained aerosol optical depths (AODs) derived applying Synergized Optical Depth of Aerosols (SODA) algorithm to surface returns measured CALIOP CloudSat's Cloud Profiling Radar. σa LR for two independent scenarios that require somewhat different assumptions: (a) a...

10.5194/amt-12-2201-2019 article EN cc-by Atmospheric measurement techniques 2019-04-10

Abstract. Radiometric calibration of space-based elastic backscatter lidars is accomplished by comparing the measured signals to theoretically expected computed for some well-characterized target. For any given system and wavelength, choice target dictated several considerations, including signal-to-noise ratios (SNR) availability. This paper describes newly implemented procedures used calibrate 1064 nm measurements acquired CALIOP (i.e., Cloud Aerosol Lidar with Orthogonal Polarization),...

10.5194/amt-2018-303 preprint EN cc-by 2018-09-24

We study the impacts of bio-optical model variations on angular distribution (f/Q factor) upwelling radiance field in ocean waters. An water has been combined with a vector radiative transfer to calculate f/Q factors systematically. The are compared those [Appl. Opt.41, 6289 (2002)10.1364/AO.41.006289APOPAI1559-128X] and differences found be within ±10% for 81% total number cases covering all wavelengths, chlorophyll concentrations, solar viewing geometries. attributed choice scattering...

10.1364/ao.54.004061 article EN Applied Optics 2015-04-23

In the past few years, we have demonstrated how surface return measured by active instruments onboard CloudSat and CALIPSO could be used to retrieve optical depth backscatter phase function (lidar ratio) of aerosols ice clouds. This methodology lead development a data fusion product publicly available at ICARE archive center using Synergized Optical Depth Aerosols Ice Clouds (SODA &amp; ICE) algorithm<sup>1</sup>. algorithm, also allowing derive ocean wind speed, has been extended include...

10.1117/12.2181544 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2015-05-19

Laboratory experiments were conducted to evaluate the feasibility of profiling and characterizing subsurface bubble plumes following a breaking wave event from an above-water Light Detection Ranging (LiDAR) system. Measurements LiDAR backscatter profiles under mechanically generated waves in tank collected analyzed. After onset breaking, increases rapidly by injected active breaking. This intensification reaches depth one height within period. dissipated upper layer water column decreases...

10.3390/rs14071680 article EN cc-by Remote Sensing 2022-03-31
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