A11P:
Advances in Remote Sensing of Clouds and Precipitation I

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Session ID#: 15393

Session Description:
Microwave observations from radars and radiometers are used widely for ground, air and space based remote sensing of clouds and precipitation. The interpretation of these observations is often not straightforward. Determining the scattering properties of the hydrometeors may require involved calculations, especially for icy particles. Even when the scattering properties are known, innovative approaches are typically needed in order to retrieve the desired physical properties from the received signal. This session brings together research that contributes to improving the applicability of microwave sensors to cloud and precipitation science. We invite abstract submissions on advances relating to theoretical scattering models, numerical calculations and retrieval techniques. Abstracts contributing to observational support and validation for these methods are also encouraged, as are studies on methodologies that combine microwave remote sensing with other types of observations.
Primary Convener:  Jussi S. Leinonen, École polytechnique fédérale de Lausanne (EPFL), Environmental Remote Sensing Laboratory, Lausanne, Switzerland
Conveners:  Hartmut H Aumann, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Benjamin T Johnson, NOAA/NESDIS/STAR, JCSDA, College Park, MD, United States and Sergio G Desouza-Machado, University of Maryland Baltimore County, Baltimore, MD, United States
Chairs:  Jussi S. Leinonen, École polytechnique fédérale de Lausanne (EPFL), Environmental Remote Sensing Laboratory, Lausanne, Switzerland and Hartmut H Aumann, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
OSPA Liaison:  Jussi S. Leinonen, École polytechnique fédérale de Lausanne (EPFL), Environmental Remote Sensing Laboratory, Lausanne, Switzerland

Cross-Listed:
  • GC - Global Environmental Change
Index Terms:

0321 Cloud/radiation interaction [ATMOSPHERIC COMPOSITION AND STRUCTURE]
0360 Radiation: transmission and scattering [ATMOSPHERIC COMPOSITION AND STRUCTURE]
3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

An Accurate TwoSlab Cloud-Representation Model for Hyperspectral Infrared Radiative Transfer Codes (126594)
Sergio G Desouza-Machado and Lawrence Larrabee Strow, University of Maryland Baltimore County, Baltimore, MD, United States
Simutaneous Variational Retrievals of Temperature, Humidity, Surface and Cloud Properties from Satellite and Airborne Hyperspectral Infrared Sounder Data using the Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC) as the Forward Model Operator (Invited) (165206)
Stephan Havemann, Met Office Hadley center for Climate Change, Exeter, United Kingdom, Jean-Claude Thelen, Met Office, Exeter, United Kingdom and R. Chawn Harlow, Met Office United Kingdom, Exeter, United Kingdom
Towards Improved Radiative Transfer Simulations of Hyperspectral Measurements for Cloudy Atmospheres (Invited) (126547)
Vijay Natraj, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, Cheng Li, California Institute of Technology, Pasadena, CA, United States, Hartmut H Aumann, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Yuk L Yung, California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, CA, United States
Ensemble-based inversions of airborne radar and radiometer data using a 3-dimensional radiative transfer model (163190)
Stephen J Munchak, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Ian S Adams, US Naval Research Laboratory, Washington, DC, United States and Benjamin T Johnson, NOAA College Park, College Park, MD, United States
Three-dimensional radar and radiometer simulations of mixed-phase clouds (148988)
Ian S Adams1, Justin Bobak1, Stephen J Munchak2 and Benjamin T Johnson3, (1)US Naval Research Laboratory, Washington, DC, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)NOAA College Park, College Park, MD, United States
Single-scattering properties of ice crystals, snowflakes, and graupel particles in the microwave spectral region (126532)
Ping Yang1, Guanglin Tang2, Patrick Stegmann2 and Jiachen Ding1, (1)Texas A&M University College Station, Department of Atmospheric Sciences, College Station, TX, United States, (2)Texas A & M University College Station, College Station, TX, United States
How to constrain snow particle scattering models? A novel approach using triple-frequency radar Doppler spectra. (140718)
Stefan Kneifel1, Alessandro Battaglia2, Pavlos Kollias3, Jussi S. Leinonen4, Maximilian Maahn5, Heike Kalesse6, Frederic Tridon1 and Susanne Crewell1, (1)University of Cologne, Institute for Geophysics and Meteorology, Cologne, Germany, (2)Earth Observation Science Group, Department of Physics and Astronomy, and National Centre for Earth Observation, University of Leicester, Leicester, United Kingdom, Leicester, United Kingdom, (3)Stony Brook University, Stony Brook, NY, United States, (4)École polytechnique fédérale de Lausanne (EPFL), Environmental Remote Sensing Laboratory, Lausanne, Switzerland, (5)University of Colorado Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (6)Leibniz Institute for Tropospheric Research, Leipzig, Germany

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