Poster Session 6 Passive and Active Remote Sensing of Clouds, Aerosols, and the Water Cycle

Wednesday, 9 July 2014: 6:00 PM-8:00 PM
Host: 14th Conference on Atmospheric Radiation

Wednesday eve

Papers:
320
Comparing dusty clouds from Northwest China and the Sahara using CALIPSO
Hongchun Jin, Lanzhou University, Lanzhou, China; and J. Huang and Y. Yi

321
Impact of large cities on the spatial distribution of aerosol optical depth in the Central Europe
Olga Zawadzka, University of Warsaw, Warsaw, Poland; and K. M. Markowicz

Handout (4.3 MB)

322
Quantification of Volcanic Ash Cloud-top Height using A-train Observations for the 2008 Chaiten Eruption
Andrew T. Prata, Monash University, Melbourne, Australia; and S. T. Siems

Handout (8.3 MB)

323
Improved CRTM Simulations for SST Retrievals Using ECMWF vs. GFS profiles

324
On the impacts of cloud horizontal inhomogeneity and warm rain processes on passive remote sensing of cloud droplet size: A integrated study based on large-eddy simulation model and satellite observations
Zhibo Zhang, University of Maryland Baltimore County, Baltimore, MD; and D. Miller, H. M. Cho, S. Platnick, A. S. Ackerman, R. Pincus, M. Lebsock, and G. Feingold

325
Implementation and Validation of AOT Retrieval Algorithm for GOSAT/TANSO-CAI and Comparison of Them with AOT Used in TANSO-FTS Algorithm
Satoru Fukuda, Japan Aerospace Exploration Agency, Tsukuba, Japan; and T. Nakajima, H. Takenaka, Y. Yoshida, T. Yokota, N. Kikuchi, K. Shiomi, and S. Kawakami

326
On the equivalence of VIIRS and MODIS dark target aerosol retrievals over land

327
A-Train active views of global MODIS cloud regimes
Lazaros Oreopoulos, NASA/GSFC, Greenbelt, MD; and C. Cho, J. Y. Lee, and S. Kato

328
Retrieving the microphysics of mixed-phase regions embedded within deep ice clouds using dual polarisation radar
W. J. Keat, University of Reading, Reading, United Kingdom; and C. D. Westbrook and A. J. Illingworth

329
CM SAF's cloud dataset CLAAS derived from SEVIRI on geostationary Meteosat Second Generation satellites
Anke Kniffka, Deutscher Wetterdienst, Offenbach, Germany; and M. Stengel, J. F. Meirink, and R. Hollmann

330
Decomposition of diffuse solar irradiance into clear-sky and cloudy components using all-sky imagery in broken cloud situations
Hartwig Deneke, Leibniz-Institute for Tropospheric Research, Leipzig, Germany; and T. Hanschmann and A. Macke

331
Impact of large-scale meteorology on the analysis of satellite measurements of aerosol properties near clouds and far from clouds
Alexander Marshak, NASA/GSFC, Greenbelt, MD; and T. Várnai and W. Yang

332
On the Retrieval of Cloud Properties Over Snow and Ice-Covered Surfaces Using Satellite Imager Data

333
CM SAF's cLoud, Albedo and RAdiation dataset (CLARA-A1) based on 28 years of global satellite observations
Martin Stengel, Deutscher Wetterdienst, Offenbach, Germany; and A. Kniffka, K. G. Karlsson, J. F. Meirink, and J. Trentmann

334
Validation of CERES-MODIS Edition 4 Marine Boundary Layer Cloud Properties using DOE ARM AMF Measurements at the Azores
Baike Xi, University of North Dakota, Grand Forks, ND; and X. Dong, P. Minnis, and S. Sun-Mack

Handout (2.4 MB)

335
Temporal and Spatial Changes in Marine Stratocumulus Clouds Observed by the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI)
Michael Garay, NASA /JPL/California Institute of Technology, Pasadena, CA; and D. J. Diner

336
Ship-borne rotating shadowband radiometer for determining of aerosol optical properties and cloud radiative effects
Hartwig Deneke, Leibniz-Institute for Tropospheric Research, Leipzig, Germany; and J. Walther, A. Macke, and G. Bernhard

337
A numerical testbed for remote sensing of aerosols, and its demonstration for evaluating retrieval synergy from geostationary satellite constellations
Jun Wang, University of Nebraska-Lincoln, Lincoln, NE; and X. Xu, S. Ding Sr., J. Zeng, R. Spurr, X. Liu, K. Chance, and M. Mishchenko

338
The satellite observation of drizzle in Stratocumulus clouds
Igor Stepanov, Delft University of Technology, Delft, Netherlands; and S. B. Velasco and H. Russchenberg
Manuscript (1.9 MB)

Handout (1.1 MB)

339
Can we Quantify the Uncertainty in Aerosol Optical Depth Retrieved by the Dark Target Aerosol Retrieval Algorithm?
Falguni Patadia, NASA GSFC, Greenbelt, MD; and R. Levy, S. Mattoo, S. Platnick, and L. Munchak

340
Seasonal Variability of Aerosol-Cloud Interaction estimated from Long-term Satellite Analysis
Miho Sekiguchi, Tokyo University of Marine Science and Technology, Tokyo, Japan; and T. Y. Nakajima, T. M. Nagao, and T. Nakajima

341
Low-cloud geometrical thickness over the ocean from CALIPSO
David Painemal, NASA Langley Research Center/SSAI, Hampton, VA; and S. Kato, K. M. Xu, and D. M. Winker

Towards a combined retrieval of ice cloud and precipitation properties from combined radar, sub-millimeter, and visible measurements

342
Measuring the multiple scattering correction for CALIPSO using combine MODIS infrared and CALIOP observations
Robert E. Holz, CIMSS/Univ. of Wisconsin, Madison, WI

343
Development and application of a new algorithm of satellite remote sensing using multi-pixel and multi-parameter information for aerosol properties by GOSAT/CAI and other satellite-borne imagers
Makiko Hashimoto, Japan Aerospace Explortion Agency (JAXA), Tsukuba, Ibaraki, Japan; and T. Nakajima, S. Morimoto, and H. Takenaka

344
Daytime cloud optical and microphysical property retrievals over snow using infrared satellite data from AVHRR
Sarah T. Bedka, SSAI, Hampton, VA; and P. Minnis, K. Bedka, C. R. Yost, and P. W. Heck

345
Three-dimensional numerical model of deep convective cloud

Handout (210.8 kB)

346
An assessment of cloud liquid water path and droplet number concentration retrievals derived from MODIS-like observations: Comparison with large-eddy simulation and implications for aerosol indirect effect study
Daniel Miller, Univ. of Maryland, Baltimore, MD; and Z. Zhang, A. S. Ackerman, and S. Platnick

347
Global cloud droplet number concentration observed with combined use of A-Train satellites
Shan Zeng, LaRC, Hampton, VA; and J. Riédi, C. Trepte, D. M. Winker, and Y. Hu

348
Observation of ice particle habits and orientation from ground-based remote sensing measurements
Linda Forster, Ludwig-Maximilians University, Munich, Germany; and B. Mayer

349
Retrieval of cirrus optical thickness and assessment of ice crystal shape from ground-based imaging spectrometry
Michael Schäfer, University of Leipzig, Leipzig, Saxonia, Germany; and E. Bierwirth, A. Ehrlich, F. Heyner, M. Wendisch, and F. Werner

350
Observed Southern Ocean Cloud Properties and Shortwave Reflection: Calculations of SW Flux From Observed Cloud Properties
Daniel T. McCoy, University of Washington, Seattle, WA; and D. Hartmann and D. P. Grosvenor

351
An Investigation of the Failed Retrievals in the MODIS Cloud Product: Frequency and Potential Causes
Hyoun-Myoung Cho, JCET/Univ. of Maryland, Baltimore, MD; and Z. Zhang, S. Platnick, M. Lebsock, and K. Meyer

352
Circulation estimation of wake vortex in cloudy and foggy weather based on one millimeter radars
Chen Guo, National University of Defence Technology, Changsha, China; and T. Wang, J. Li, and S. Song

353
Retrieval of liquid water clouds properties by a synergy of ground-based/space-borne radiation measurements over Cabauw observatory
Edouard Louis Martins, Delft University of Technology, Delft, Netherlands; and H. Russchenberg

354
Improved Cloud Detection using NOAA 18 AVHRR Data and Comparison with CERES-MODIS cloud mask and CALIPSO Vertical Feature Mask
Qing Z. Trepte, SSAI, Hampton, VA; and K. M. Bedka, C. R. Yost, and P. Minnis

355
Fingerprinting of microphysical processes in Arctic clouds by tracking Doppler radar spectra features
Heike Kalesse, McGill University, Montreal, QC, Canada; and S. Kneifel, P. Kollias, and E. Luke

356
Generating consistent Cloud Property Datasets from 3 decades of satellite observations applying an OE Retrieval Algorithm in the ESA Cloud_cci Project
Matthias Jerg, Deutscher Wetterdienst, Offenbach, Germany; and S. Stapelberg, A. Kniffka, M. Stengel, R. Hollmann, and C. A. Poulsen

357
Quantification of Satellite Cloud Retrieval Uncertainties from Multiple Platforms Using A-Train Observations
Christopher Rogers Yost, SSAI, Hampton, VA; and P. Minnis, J. K. Ayers, K. M. Bedka, S. T. Bedka, P. W. Heck, R. Palikonda, D. A. Spangenberg, S. Sun-Mack, and Q. Z. Trepte

Handout (2.5 MB)

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