H113:
Severe Precipitation Detection, Estimation, Forecast and Hydrometeorological Applications





Session ID#: 21892

Session Description:
Severe weather with heavy precipitation could bring unexpected hydrometeorological hazards, such as flash floods and landslides/mudslides, which might lead to serious social, economic, and political problems. Severe precipitation, flash floods, or landslides might become disasters that could cause significant injuries, deaths, infrastructure damage, transportation paralysis, and/or many other problems. Therefore, it is essentially important to accurately monitor and estimate the heavy precipitation so that the occurrence and intensity of associated hydrometeorological hazards can be well measured and forecasted. Currently the most powerful technique to monitor/research the severe weather is the remote sensing technique (e.g., radar, satellite). The relevant research fields progress rapidly with the aims of providing accurate and high-resolution precipitation estimation, accurate flash flood forecasting, understanding of causation and geophysical process of these natural hazards. This session invites high quality, original research contributions from radar meteorology, satellite meteorology, flash flood forecasting, hazards monitoring, and related fields (e.g. hydrometeorological hazards).
Primary Convener:  Youcun Qi, NOAA Norman, Norman, OK, United States
Conveners:  Youcun Qi, NOAA Norman, Norman, OK, United States and Ke Zhang, Hohai University, Nanjing, China
Index Terms:

1821 Floods [HYDROLOGY]
1840 Hydrometeorology [HYDROLOGY]
1854 Precipitation [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]

Abstracts Submitted to this Session:

Molly Margaret Chaney, Princeton University, Princeton, NJ, United States, James A Smith, Princeton Univ, Civil and Environmental Engineering, Princeton, NJ, United States and Mary Lynn Baeck, Princeton Univ, Princeton, NJ, United States
Qiuhong Tang1, Xuejun Zhang2, Zhe Li2 and Huijuan Cui2, (1)Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (2)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China
Pedro M Miranda1, Pedro Mateus2, Giovanni Nico3, João Catalão4, Paulo Pinto5, Ricardo Tomé4 and Pedro Benevides4, (1)Universidade de Lisboa, Lisboa, Portugal, (2)University of Lisbon, FCUL, IDL, Lisbon, Portugal, (3)Istituto per le Applicazioni del Calcolo (IAC), Consiglio Nazionale delle Ricerche (CNR), Bari, Italy, (4)University of Lisbon, FCUL,IDL, Lisbon, Portugal, (5)IPMA, Lisbon, Portugal
Qian Wang1, Chuanhai Qian1 and Aizhong Hou2, (1)National Meteorological Center, China Meteorological Administration, Beijing, China, (2)Bureau of Hydrology, the Ministry of Water Resources of the People's Republic of China, Beijing, China
Seyed Ehsan Omranian, Hatim Osman Sharif and Samer Desouky, University of Texas at San Antonio, Department of Civil and Environmental Engineering, San Antonio, TX, United States
Peng Jiang1, Zhongbo Yu2, Li Chen3, Mahesh Raj Gautam4 and Kumud Acharya1, (1)Desert Research Institute, Las Vegas, NV, United States, (2)Hohai University, Nanjing, China, (3)Desert Research Institute, Division of Hydrologic Sciences, Las Vegas, NV, United States, (4)California Department of Water Resources, Sacramento, CA, United States
Alper Onen and Ismail Yucel, Middle East Technical University, Ankara, Turkey
Yi Yang, Lanzhou University, Lanzhou, China
Zhe Li, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, Youcun Qi, CIMMS/OU, Norman, OK, United States and Qiuhong Tang, Chinese Academy of Sciences, Beijing, China
Youcun Qi, University of Oklahoma Norman Campus, Norman, OK, United States
Manuel Felipe Rios Gaona, IIHR—Hydroscience and Engineering, Iowa City, IA, United States, Aart Overeem, Royal Netherlands Meteorological Institute, De Bilt, Netherlands, Hidde Leijnse, KNMI, De Bilt, Netherlands, Tim Raupach, EPFL Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland and Remko Uijlenhoet, Wageningen University, Wageningen, Netherlands
Ke Zhang, Zhijia Li, Lijun Chao and Yuelong Zhu, Hohai University, Nanjing, China
Rongrong Zhang1, Huimin Wang1, Longcang Shu1, Qin Ju1, Peng Jiang2 and Zhongbo Yu1, (1)Hohai University, Nanjing, China, (2)Desert Research Institute, Las Vegas, NV, United States
Huilin Gao1, Shuai Zhang2,3, Bart Nijssen4, Tian Zhou5, Nathalie Voisin6, Justin Sheffield7, Kyungtae Lee2, Shraddhanand Shukla8 and Dennis P Lettenmaier9, (1)Texas A&M University College Station, College Station, TX, United States, (2)Texas A & M University, Zachry Department of Civil Engineering, College Station, TX, United States, (3)University of North Carolina at Chapel Hill, Department of Geological Sciences, Chapel Hill, NC, United States, (4)University of Washington, Seattle, WA, United States, (5)Pacific Northwest National Laboratory, Richland, WA, United States, (6)PNNL, Seattle, WA, United States, (7)Princeton University, Princeton, NJ, United States, (8)UC Santa Barbara, Santa Barbara, CA, United States, (9)UCLA, Geography, Los Angeles, CA, United States
Meihong Ma, Beijing Normal University, Beijing, China, Huixiao Wang, Beijing Norman University, Beijing, China, Yun Chen, CMA China Meteorological Administration, National Meteorological Centre, Beijing, China, Guoqiang Tang, Tsinghua University, Beijing, China, Zhen Hong, University of Oklahoma Norman Campus, Norman, OK, United States, Ke Zhang, Harvard University, Medford, MA, United States and Yang Hong, Tsinghua University, Department of Hydraulic Engineering, Beijing, China

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