J. Riédi

ORCID: 0000-0002-0374-7316
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About
Contact & Profiles
Research Areas
  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric Ozone and Climate
  • Calibration and Measurement Techniques
  • Meteorological Phenomena and Simulations
  • Cryospheric studies and observations
  • Solar Radiation and Photovoltaics
  • Aeolian processes and effects
  • Arctic and Antarctic ice dynamics
  • Remote Sensing in Agriculture
  • Air Quality Monitoring and Forecasting
  • Optical Wireless Communication Technologies
  • Geophysics and Gravity Measurements
  • Climate variability and models
  • Satellite Image Processing and Photogrammetry
  • Precipitation Measurement and Analysis
  • Optical Polarization and Ellipsometry
  • Spacecraft Design and Technology
  • Satellite Communication Systems
  • Ionosphere and magnetosphere dynamics
  • Remote-Sensing Image Classification
  • Advanced Optical Network Technologies
  • Planetary Science and Exploration
  • Remote Sensing and LiDAR Applications

Université de Lille
2016-2025

Centre National de la Recherche Scientifique
2016-2025

Laboratoire d'Optique Atmosphérique
2016-2025

Systèmes d'Information à Référence Spatiale (France)
2024

AERIS/ICARE Data and Services Center
2021-2023

Institut de Combustion Aérothermique Réactivité et Environnement
2022-2023

University of Reading
2017

University of Science and Technology
2013-2014

Korea University of Science and Technology
2013-2014

L-3 Communications (United States)
2004

The Moderate Resolution Imaging Spectroradiometer (MODIS) is one of five instruments aboard the Terra Earth Observing System (EOS) platform launched in December 1999. After achieving final orbit, MODIS began observations late February 2000 and has been acquiring data since that time. instrument also being flown on Aqua spacecraft, May 2002. A comprehensive set remote sensing algorithms for cloud detection retrieval physical optical properties have developed by members atmosphere science...

10.1109/tgrs.2002.808301 article EN IEEE Transactions on Geoscience and Remote Sensing 2003-02-01

The Moderate-Resolution Imaging Spectroradiometer (MODIS) level-2 (L2) cloud product (earth science data set names MOD06 and MYD06 for Terra Aqua MODIS, respectively) provides pixel-level retrievals of top properties (day night pressure, temperature, height) optical (optical thickness, effective particle radius, water path both liquid ice thermodynamic phases-daytime only). Collection 6 (C6) reprocessing the was completed in May 2014 March 2015 MODIS Terra, respectively. Here we provide an...

10.1109/tgrs.2016.2610522 article EN IEEE Transactions on Geoscience and Remote Sensing 2016-10-26

Clouds cover about 70% of Earth's surface and play a dominant role in the energy water cycle our planet. Only satellite observations provide continuous survey state atmosphere over entire globe across wide range spatial temporal scales that compose weather climate variability. Satellite cloud data records now exceed more than 25 years; however, must be compiled from different datasets can exhibit systematic biases. Questions therefore arise as to accuracy limitations various sensors...

10.1175/bams-d-12-00117.1 article EN Bulletin of the American Meteorological Society 2013-07-01

Optical properties of clouds and heavy aerosol retrieved from satellite measurements are the most important elements for calculating surface solar radiation (SSR). The Himawari-8/Advanced Himawari Imager (AHI) receive high spatial, temporal spectral signals, which provides an opportunity to estimate cloud, SSR accurately. In this study, we developed AHI official cloud property product (version 1.0) JAXA P-Tree system. A look-up table (LUT) method was used calculate high-temporal (10 min)...

10.1016/j.rse.2019.111583 article EN cc-by Remote Sensing of Environment 2019-12-26

The Japan Meteorological Agency (JMA) successfully launched the Himawari-8 (H-8) new-generation geostationary meteorological satellite with Advanced Himawari Imager (AHI) sensor on October 7, 2014. H-8/AHI level-2 (L2) operational cloud property products were released by Aerospace Exploration during September 2016. Voronoi light scattering model, which is a fractal ice particle habit, was utilized to develop retrieval algorithm called "Comprehensive Analysis Program for Cloud Optical...

10.1109/tgrs.2018.2882803 article EN IEEE Transactions on Geoscience and Remote Sensing 2018-12-17

Abstract Surface downward radiation (SDR), including shortwave (SWDR) and longwave (LWDR), is of great importance to energy climate studies. Considering the lack reliable SDR data with a high spatiotemporal resolution in East Asia–Pacific (EAP) region, we derived SWDR LWDR at 10-min 0.05° resolutions for this region from 2016 2020 based on next-generation geostationary satellite Himawari-8 ( H-8 ). The product unique terms its all-sky features, accuracy, high-resolution levels. cloud effect...

10.1175/bams-d-20-0148.1 article EN Bulletin of the American Meteorological Society 2021-10-27

A multispectral scanning spectrometer was used to obtain measurements of the bidirectional reflectance and brightness temperature clouds, sea ice, snow, tundra surfaces at 50 discrete wavelengths between 0.47 14.0 μm. These observations were obtained from NASA ER-2 aircraft as part First ISCCP (International Satellite Cloud Climatology Project) Regional Experiment (FIRE) Arctic Clouds Experiment, conducted over a 1600 km × 500 region north slope Alaska surrounding Beaufort Chukchi Seas 18...

10.1175/1520-0426(2004)021<0857:rsolwa>2.0.co;2 article EN Journal of Atmospheric and Oceanic Technology 2004-06-01

Abstract The detection of aerosol above clouds is critical for the estimate both and cloud radiative impacts. In this study, authors present a new method to retrieve properties over that uses multiangle polarization measurements Polarization Directionality Earth Reflectances (POLDER)–Polarization Anisotropy Atmospheric Sciences Coupled with Observations from Lidar (PARASOL) instrument. illustrated applied case study exploiting coincident observations other passive active sensors NASA A-Train...

10.1175/2009jas3026.1 article EN Journal of the Atmospheric Sciences 2009-03-16

We report the main conclusions from an interactive, multidisciplinary workshop on "Polarimetric Techniques and Technology", held March 24-28 2014 at Lorentz Center in Leiden, Netherlands.The brought together polarimetrists different research fields.Participants had backgrounds ranging academia to industrial R&D.Here we provide overview of polarimetric instrumentation optical regime geared towards a wide range applications: atmospheric remote sensing, target detection, astronomy, biomedical...

10.1117/12.2053245 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2014-05-21

Abstract Moderate Resolution Imaging Spectroradiometer (MODIS) retrieves cloud droplet effective radius ( r e ) and optical thickness τ by projecting observed reflectances onto a precomputed look‐up table (LUT). When observations fall outside of the LUT, retrieval is considered “failed” because no combination within LUT can explain reflectances. In this study, frequency potential causes failed MODIS retrievals for marine liquid phase (MLP) clouds are analyzed based on 1 year Aqua Collection...

10.1002/2015jd023161 article EN cc-by-nc-nd Journal of Geophysical Research Atmospheres 2015-04-09

Abstract. Most of the current aerosol retrievals from passive sensors are restricted to cloud-free scenes, which strongly reduces our ability monitor properties at a global scale and estimate their radiative forcing. The presence above clouds (AAC) affects polarized light reflected by cloud layer, as shown spaceborne measurements provided POlarization Directionality Earth Reflectances (POLDER) instrument on PARASOL satellite. In previous work, first retrieval method was developed for AAC...

10.5194/amt-6-991-2013 article EN cc-by Atmospheric measurement techniques 2013-04-15

Abstract. In this study, various ice particle habits are investigated in conjunction with inferring the optical properties of clouds for use Global Change Observation Mission-Climate (GCOM-C) satellite programme. We develop a database single-scattering five habit models: plates, columns, droxtals, bullet rosettes, and Voronoi. The is based on specification Second Generation Imager (SGLI) sensor board GCOM-C satellite, which scheduled to be launched 2017 by Japan Aerospace Exploration Agency....

10.5194/acp-16-12287-2016 article EN cc-by Atmospheric chemistry and physics 2016-09-29

Abstract. Cloud thermodynamic phase (ice, liquid, undetermined) classification is an important first step for cloud retrievals from passive sensors such as MODIS (Moderate Resolution Imaging Spectroradiometer). Because ice and liquid clouds have very different scattering absorbing properties, incorrect decision can lead to substantial errors in the optical microphysical property products thickness or effective particle radius. Furthermore, it well established that impacts on Earth's energy...

10.5194/amt-9-1587-2016 article EN cc-by Atmospheric measurement techniques 2016-04-11

Abstract New evidence from collocated measurements, with support theory and numerical simulations, that multidirectional measurements in the oxygen A band third Polarization Directionality of Earth’s Reflectances (POLDER-3) instrument on Anisotropy for Atmospheric Sciences coupled Observations a Lidar (PARASOL) satellite platform within “A-Train” can help to characterize vertical structure clouds is presented. In case monolayered clouds, standard POLDER cloud pressure product PO2 shown be...

10.1175/2010jamc2550.1 article EN other-oa Journal of Applied Meteorology and Climatology 2010-12-01

Abstract. The global spatial and diurnal distribution of cloud properties is a key issue for understanding the hydrological cycle, critical advancing efforts to improve numerical weather models general circulation models. Satellite data provides best way gaining insight into properties. In particular, determination thermodynamic phase first step in process inferring optical microphysical from satellite measurements. It important that be derived together with an estimate confidence this...

10.5194/acp-10-11851-2010 article EN cc-by Atmospheric chemistry and physics 2010-12-13

Abstract The seasonal and spatial variability of Aerosol Above Cloud (AAC) properties are derived from passive satellite data for the year 2008. A significant amount aerosols transported above liquid water clouds on global scale. For particles in fine mode (i.e., radius smaller than 0.3 µm), including both clear‐sky AAC, retrievals increase mean aerosol optical thickness by 25(±6)%. two main regions originated anthropogenic AAC tropical Southeast Atlantic, biomass‐burning aerosols, North...

10.1002/2013gl057482 article EN Geophysical Research Letters 2013-10-14

Cloud phase recognition is important for cloud studies. Ice crystals correspond to physical process and properties that differ from those of liquid water drops. The angular polarization signature a good mean discriminate between spherical nonspherical particles (liquid ice phase, respectively). POLDER (Polarization Directionality Earth Reflectances) has been launched on the Japanese ADEOS platform in August 1996. Because its multidirectional, multispectral, multipolarization capabilities...

10.1029/1999jd901183 article EN Journal of Geophysical Research Atmospheres 2000-06-01

Abstract. The influence is investigated of the assumed ice particle microphysical and optical model on inferring cloud thickness (τ) from satellite measurements Earth's reflected shortwave radiance. Ice τ are inferred, subsequently compared, using products MODIS (MODerate resolution Imaging Spectroradiometer) POLDER (POLarization Directionality Reflectances). values found to be substantially smaller than those collocated data. It shown that this difference caused primarily by use different...

10.5194/acp-9-7115-2009 article EN cc-by Atmospheric chemistry and physics 2009-09-24

Abstract Insufficient knowledge of the habit distribution and degree surface roughness ice crystals within clouds is a source uncertainty in forward light scattering radiative transfer simulations used downstream applications. The Moderate Resolution Imaging Spectroradiometer (MODIS) collection-5 microphysical model presumes mixture various crystal shapes with smooth facets, except for compact aggregate columns which severely rough condition assumed. When compared Polarization Anisotropy...

10.1175/jamc-d-12-097.1 article EN other-oa Journal of Applied Meteorology and Climatology 2012-08-13

Abstract. Cloud droplet number concentration (CDNC) is an important microphysical property of liquid clouds that impacts radiative forcing, precipitation and pivotal for understanding cloud–aerosol interactions. Current studies this parameter at global scales with satellite observations are still challenging, especially because retrieval algorithms developed passive sensors (i.e., MODerate Resolution Imaging Spectroradiometer (MODIS)/Aqua) have to rely on the assumption cloud adiabatic...

10.5194/acp-14-7125-2014 article EN cc-by Atmospheric chemistry and physics 2014-07-16

Abstract. Ice clouds are an important element in the radiative balance of earth's climate system, but their microphysical and optical properties still not well constrained, especially ice particle habit degree surface roughness. In situ observations have revealed common habits evidence for roughness, these limited. An alternative is to infer shape roughness from satellite polarized reflectivity since they sensitive both this study adding–doubling transfer code used simulate nine different...

10.5194/acp-14-3739-2014 article EN cc-by Atmospheric chemistry and physics 2014-04-11

Abstract The sizes and shapes of ice crystals in clouds affect fundamental microphysical processes, such as sedimentation aggregation, well their optical properties. evolution crystal size shape depends on temperature supersaturation, other processes that may lead to various coexisting complex shapes. Here we present a global assessment collocated characteristics shortwave scattering properties at the tops optically thick inferred from space‐borne multiwavelength reflectance measurements...

10.1029/2019jd031811 article EN Journal of Geophysical Research Atmospheres 2020-03-03

Abstract The rate of warming in the Arctic depends upon response low‐level microphysical and radiative cloud properties to aerosols advected from distant anthropogenic biomass‐burning sources. Cloud droplet cross‐section density increases with higher concentrations condensation nuclei, leading an increase absorption scattering cross sections. challenge assessing magnitude effect has been decoupling aerosol impacts on clouds how change solely due natural meteorological variability. Here we...

10.1002/2017gl075795 article EN Geophysical Research Letters 2017-11-09

<i>The Multi-Viewing-Channel-Polarisation Imager </i>(3MI), planned to fly on the EPS-SG platform in time-frame 2020–2040, is a 2D wide field of view radiometer dedicated aerosol and cloud characterisation for climate monitoring, atmospheric composition, air quality numerical weather prediction. The role clouds determining sensitivity change highly uncertain, particular due their multiple complex interactions with aerosols. Hence new observation systems (ground-based space-borne) are needed...

10.1117/12.2186978 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2015-09-01
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