H21K:
Global Precipitation Measurement, Validation, and Applications III

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Session ID#: 16982

Session Description:
Measurements of global precipitation are necessary for monitoring earth’s water resources and the global hydrologic cycle, understanding climate variability, and improving weather prediction. To address this need, in early 2014 the Global Precipitation Measurement (GPM) Mission “Core” satellite was launched by NASA and JAXA as a central platform in the GPM international satellite constellation.  The GPM Core, carrying a dual-frequency precipitation radar and multi-channel microwave imager, serves as on orbit calibration source and precipitation remote sensing laboratory to support radiometer measurements made by the larger GPM constellation.  Collectively, the GPM mission provides the next-generation of unified global precipitation products with accuracies and data latencies essential for research and integrated hydrometeorological applications, along with decades of satellite rain measurements. This session invites contributions in ALL areas of precipitation science including retrieval algorithms, ground validation, inter-sensor calibration and data fusion, and data utilization in hydrologic, weather, climate, and societal applications.
Primary Convener:  Yang Hong, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States
Conveners:  Ramesh K Kakar1, Gail Skofronick Jackson1 and Walter Arthur Petersen2, (1)NASA Headquarters, Washington, DC, United States(2)NASA Marshall Space Flight Center, Science Research and Projects Division, ST-10, Huntsville, AL, United States
Chairs:  Walter Arthur Petersen, NASA Marshall Space Flight Center, Science Research and Projects Division, ST-10, Huntsville, AL, United States and Pierre-Emmanuel Kirstetter, University of Oklahoma Norman Campus, Norman, OK, United States
OSPA Liaison:  Yang Hong, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • IN - Earth and Space Science Informatics
  • NH - Natural Hazards
Index Terms:

1854 Precipitation [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
3354 Precipitation [ATMOSPHERIC PROCESSES]
4303 Hydrological [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Remote Sensing of Snowfall: Challenges and Opportunities in the GPM Era (Invited) (152461)
Mark Kulie, University of Wisconsin Madison, Madison, WI, United States
Enhancing our Understanding of Snowfall Modes with Ground-Based Observations (184873)
Claire Pettersen, University of Wisconsin Madison, Space Science and Engineering Center, Madison, United States, Mark Kulie, University of Wisconsin Madison, Madison, WI, United States, Walter Arthur Petersen, NASA Marshall Space Flight Center, Science Research and Projects Division, ST-10, Huntsville, AL, United States, Larry F Bliven, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Norman Wood, University of Wisconsin, Madison, WI, United States
Automatic classification of particles imaged by a Multi-Angle Snowflake Camera (134611)
Alexis Berne, Swiss Federal Institute of Technology Lausanne, Environmental Remote Sensing Laboratory, Lausanne, Switzerland, Christophe Praz, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland and Yves-Alain Roulet, MeteoSwiss Federal Office of Meteorology and Climatology, Measurement and Data, Zurich, Switzerland
Improving GPM Precipitation Phase for the Western US (190207)
Seshadri Rajagopal, Desert Research Institute Reno, Reno, NV, United States, Adrian Adam Harpold, University of Nevada Reno, Department of Natural Resources and Environmental Science, Reno, NV, United States and Michael D Dettinger, Scripps Institution of Oceanography, University of California San Diego, Center for Western Weather and Water Extremes (CW3E), La Jolla, United States
Intermittency of Precipitation: Duration, Frequency, Intensity and Amount Using Hourly Data (138653)
Kevin E Trenberth, National Center for Atmospheric Research, Boulder, CO, United States and Yongxin Zhang, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States
Improving PERSIANN-CCS rain estimation using probabilistic approach and multi-sensors information (158541)
Negar Karbalaee, The University of Oklahoma, Norman, CA, United States, Kuo-lin Hsu, University of California Irvine, Irvine, CA, United States, Soroosh Sorooshian, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States, Pierre Kirstetter, University of Oklahoma Norman, School of Meteorology and School of Civil Engineering and Environmental Science, Norman, United States and Yang Hong, University of Oklahoma Norman Campus, Norman, OK, United States
An Ensemble Generator for Quantitative Precipitation Estimation Based on Censored Shifted Gamma Distributions (196067)
Daniel B Wright, University of Wisconsin Madison, Civil and Environmental Engineering, Madison, WI, United States, Dalia Kirschbaum, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Soni Yatheendradas, NASA/GSFC and UMD/ESSIC, Greenbelt, MD, United States
Global near real-time precipitation estimates by optimally blending gauge, satellite, and model data (147552)
Hylke Beck1, A.P.J. De Roo2, Florian Pappenberger3, Albert van Dijk4, Vincenzo Levizzani5, Eric F Wood1 and George John Huffman6, (1)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (2)Joint Research Center Ispra, Water Resources Unit, Ispra, Italy, (3)European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom, (4)Australian National University, Canberra, Australia, (5)CNR Institute of Atmospheric Sciences and Climate, Bologna, Italy, (6)NASA Goddard Space Flight Center, Greenbelt, United States

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