A21P:
Radar-Driven Advances in Understanding and Modeling Clouds and Precipitation I

Submit an Abstract to this Session



Session ID#: 33104

Session Description:
Cloud and precipitation processes have been the main source of uncertainties in numerical weather prediction (NWP) and climate change projections for decades. Polarimetric weather radars provide new pathways towards a better understanding of microphysical processes and high impact weather systems, and thus enable new approaches for process-oriented evaluation and improvement of NWP/climate models, and data assimilation techniques. Cloud radars operating at higher frequencies provide deeper insights in microphysical processes of ice clouds and multi-frequency signatures provide complementary information on ice habits, particle size distributions, and particle densities. Doppler spectra obtained from vertically pointing radars are also demonstrating great potential to elucidate microphysical and dynamical processes in clouds. Additional benefits arise from multi-sensor, e.g. radar, lidar, radiometer and satellite approaches.

This session welcomes contributions aiming at new ideas towards a more complete exploitation of our state-of-the-art radars, and techniques for advancing their fusion with other sensors and with atmospheric modeling.

Primary Convener:  Silke Troemel, University of Bonn, Bonn, Germany
Conveners:  Jussi S. Leinonen, École polytechnique fédérale de Lausanne (EPFL), Environmental Remote Sensing Laboratory, Lausanne, Switzerland, Johannes Quaas, University Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany and Ann M Fridlind, NASA Goddard Institute for Space Studies, New York, NY, United States
Chairs:  Jussi S. Leinonen, University of California Los Angeles, Joint Institute for Earth System Science and Engineering, Los Angeles, CA, United States, Silke Troemel, Meteorological Institute, Bonn, Germany and Ann M Fridlind, NASA Goddard Institute for Space Studies, New York, NY, United States
OSPA Liaison:  Silke Troemel, Meteorological Institute, Bonn, Germany

Cross-Listed:
  • H - Hydrology
  • NH - Natural Hazards
Index Terms:

1853 Precipitation-radar [HYDROLOGY]
3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

New Cloud and Precipitation Research Avenues Enabled by low-cost Phased-array Radar Technology (Invited) (269140)
Pavlos Kollias1, Mariko Oue1, Ann M Fridlind2, Toshihisa Matsui3 and David McLaughlin4, (1)Stony Brook University, Stony Brook, NY, United States, (2)NASA Goddard Institute for Space Studies, New York, NY, United States, (3)Earth System Science Interdisciplinary Center, COLLEGE PARK, MD, United States, (4)University of Massachusetts Amherst, Electrical and Computer Engineering, Amherst, MA, United States
Assimilation of ZDR Columns for Improving the Spin-Up and Forecasts of Convective Storms (Invited) (225721)
Jacob Carlin, Cooperative Institute for Severe and High-Impact Weather Research and Operations, Norman, United States, Jidong Gao, Univ of OK--NOAA/NSSL, Norman, OK, United States, Jeffrey Snyder, National Severe Storms Lab Norman, Norman, OK, United States and Alexander Ryzhkov, NOAA/OAR/National Severe Storms Laboratory, Norman, OK, United States
Polarimetric Radar Characteristics of Simulated and Observed Intense Convection Between Continental and Maritime Environment (244726)
Toshihisa Matsui1, Brenda Dolan2, Wei-Kuo Tao1, Steven A Rutledge2, Takamichi Iguchi3, Ms. Julie I Barnum, MSc4 and Stephen E Lang1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Colorado State University, Department of Atmospheric Science, Fort Collins, United States, (3)Earth System Science Interdisciplinary Center, College PARK, United States, (4)Missouri State University, Springfield, United States
A Moment-Based Polarimetric Radar Forward Operator for Rain Microphysics (261703)
Matthew R Kumjian, The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, PA, United States, Charlotte Martinkus, Pennsylvania State University Main Campus, Meteorology and Atmospheric Science, University Park, PA, United States, Olivier P Prat, CICS-NC/NCSU, Asheville, NC, United States, Scott M Collis, Argonne National Laboratory, Lemont, IL, United States, Hugh Morrison, NSF NCAR, MMM Laboratory, Boulder, United States and Marcus van Lier Walqui, Columbia University, Center for Climate Systems Research, New York, United States
Phase-partitioning in mixed-phase clouds – An approach to characterize the entire vertical column (220315)
Heike Kalesse1, Edward P Luke2 and Patric Seifert1, (1)Leibniz Institute for Tropospheric Research, Leipzig, Germany, (2)Brookhaven National Laboratory, Upton, United States
A satellite simulator for TRMM PR applied to climate model simulations (250145)
Marc Schroeder, Deutscher Wetterdienst (DWD), Offenbach am Main, Germany, Thomas Spangehl, Deutscher Wetterdienst, Offenbach am Main, Germany, Alejandro Bodas-Salcedo, Met Office Hadley center for Climate Change, Exeter, United Kingdom, Rainer Hollmann, Deutscher Wetterdienst, Offenbach, Germany, Emily Marie Riley Dellaripa, Colorado State University, Atmospheric Science, Fort Collins, CO, United States and Courtney Schumacher, Texas A&M University, Department of Atmospheric Sciences, College Station, TX, United States

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