Posters

AS3.8
Remote Sensing of Clouds and Aerosols: Techniques and Applications 

Remote sensing of clouds and aerosols is of central importance for studying climate system processes and changes. Reliable information is required on climate-relevant parameters such as aerosol and cloud optical thickness, layer height, particle size, liquid or ice water path and vertical particulate matter columns. A number of challenges and unsolved problems remain in algorithms and their application. This includes remote sensing of clouds and aerosols with respect to 3D effects, remote sensing of polluted and mixed clouds, combination of ground-based and satellite-based systems, and the creation of long-term uniform global records. This session is aimed at the discussion of current developments, challenges and opportunities in aerosol and cloud remote sensing using active and passive remote sensing systems.

Invited speaker 2019: Otto Hasekamp, SRON - Netherlands Institute for Space Research

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Convener: Jan Cermak | Co-conveners: Gerrit de Leeuw, Alexander Kokhanovsky, Virginie Capelle
Orals
| Wed, 10 Apr, 08:30–12:30
 
Room 0.60
Posters
| Attendance Wed, 10 Apr, 14:00–15:45
 
Hall X5

Attendance time: Wednesday, 10 April 2019, 14:00–15:45 | Hall X5

Chairperson: Capelle, de Leeuw, Kohkanovsky, Cermak
X5.251 |
EGU2019-8103
An integrated radiative transfer model for satellite simulation
Feng Zhang
X5.252 |
EGU2019-2768
Analysis of Boundary Layer Characteristics of a Heavily Polluted Weather Process in Beijing, China in Winter 2016
hailin Gui, qi Jiang, and nisha Tuli
X5.253 |
EGU2019-4987
Simultaneous retrieval of aerosol optical properties and ocean color based on the optimal estimation approach
Chong Shi, Teruyuki Nakajima, Makiko Hashimoto, and Hideaki Takenaka
X5.254 |
EGU2019-5386
Effects of Shipping–originated Aerosols on Cloud Physical Properties Over Marine Areas Near East China
Xin Xie, Tiantao Cheng, Guangqiang Zhou, and Junyan Duan
X5.255 |
EGU2019-5416
Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison
Tingting Jiang, Bin Chen, and Bing Xu
X5.256 |
EGU2019-5731
Polarized measurements and calibration of a multispectral polarimeter to derive aerosol optical properties
Lena Jänicke, Laura Maikowski, and Thomas Ruhtz
X5.257 |
EGU2019-6203
Estimation of surface PM2.5 concentration over Seoul using GOCI AOD
Sang-Min Kim, Jongmin Yoon, Ja-Ho Koo, Yun Gon Lee, Seungyeon Kim, Ara Cho, Hyunkee Hong, and Sankyun Kim
X5.258 |
EGU2019-6286
Biomass burning aerosol identification using multi-source satellite data
Yumeng Zhang and Xin Yang
X5.259 |
EGU2019-6387
Development of aerosol effective height retrieval algorithm using O4 air mass factor from Ozone Monitoring Instrument (OMI): Effects of spatiotemporal O4 column densities and temperature-dependent O4 absorption cross section
Wonei Choi and Hanlim Lee
X5.260 |
EGU2019-6541
Light absorption enhancement due to morphologies and mixing states of black carbon aerosols
(withdrawn)
Yu Wu and Tianhai Cheng
X5.261 |
EGU2019-6719
Multi temporal aerosol optical depth retrieved by the geostationary satellite Himawari-8/9
(withdrawn)
Tianhai Cheng, Shuaiyi Shi, and Yu Wu
X5.262 |
EGU2019-9676
An exploration of applications using retrievals of droplet size distribution dispersion from space
Daniel Miller
X5.263 |
EGU2019-9693
Investigation of photon path length distributions derived from oxygen A-band measurements of GOSAT
Beke Kremmling, Steffen Beirle, Marloes Penning de Vries, and Thomas Wagner
X5.264 |
EGU2019-10561
The CLAAS-2.1 data record - 14 years of SEVIRI cloud properties by CMSAF
Martin Stengel, Daniel Philipp, Stephan Finkensieper, and Jan Fokke Meirink
X5.265 |
EGU2019-10740
EarthCARE – Towards the Understanding of the Impact of Cloud and Aerosol on Radiation
Tobias Wehr, Michael Eisinger, Rob Koopman, Damien Maeusli, Kotska Wallace, and Alain Lefebvre
X5.266 |
EGU2019-11334
How many Cirrus clouds do we overlook when observing from the Earth surface?
Andrzej Kotarba and Zaneta Nguyen-Huu
X5.267 |
EGU2019-13016
Validation and error analysis of AATSR's Aerosol Optical Depth
Xingfeng Chen, Gerrit de Leeuw, Larisa Sogacheva, Pekka Kolmonen, and Kainan Zhang
X5.268 |
EGU2019-13077
Graphics and Spectra Based Cloud and Haze Detection Algorithm for FY-3D Satellite Measurements over China
(withdrawn)
Yingying Ma, Shikuan Jin, and Ming Zhang
X5.269 |
EGU2019-14571
Retrieval of aerosol optical depth and aerosol model over East Asia from directional Intensity and polarization measurements of PARASOL
(withdrawn)
Li Fang, Shupeng Wang, Tao Yu, and Xingfa Gu
X5.270 |
EGU2019-16788
Liquid water path retrieval from MSG SEVIRI data using machine learning
Miae Kim and Jan Cermak
X5.271 |
EGU2019-17927
Deriving the geometry dependent surface reflectance from the geostationary satellite observations and its application to aerosol retrieval
Kwon-Ho Lee
X5.272 |
EGU2019-18976
Retrieval of Aerosol Optical Depth over Mainland China from 1980 to 2000
Yahui Che, Yong Xue, Jie Guang, and Lu She
X5.273 |
EGU2019-4558
Validation of Himawari-8 version 2.0 Aerosol Products, and Comparison with version 1.0
(withdrawn)
Wei Wang
X5.274 |
EGU2019-16632
Case study of Aerosol parameter day to day variability in autumn 2018 in an Alpine area
Jochen Wagner and Axel Kreuter
X5.275 |
EGU2019-3170
The environmental Sky Imager-Radiometer (eSIR) and its application in Atmospheric Observation
Qilong Min, Bangsheng Yin, Zhifan Gao, and Jiahua Wang