H51I:
Utilizing Long-Term Precipitation Data Records for Understanding Climate Extremes II Posters

Submit an Abstract to this Session



Session ID#: 31859

Session Description:
The nature of precipitation extremes through time poses many questions related to flood risk, agricultural sustainability, municipal and industrial water supply, and characterization of climate change. A wide collection of tools and observations are currently available to address these questions. This session welcomes abstracts that employ long-term precipitation datasets including (among others) gauge observations, climate data records, Reanalyses products, as well as climate models’ historical simulations and future projections to study the behavior of precipitation extremes both in space and time at local, regional, and global scales. Invited to contribute to this session are abstracts that utilize long-term precipitation data records to investigate extreme precipitation foci including:

Changes in frequency, trends, duration, and intensity over time

Validation studies

Multi-dataset comparisons

Event-based analyses for floods and droughts

Impacts of large-scale climate signals (e.g., ENSO, PDO)

Primary Convener:  Phu Nguyen, University of California Irvine, Department of Civil and Environmental Engineering, Irvine, CA, United States
Conveners:  Mengqian Lu, Hong Kong University of Science and Technology, Department of Civil and Environmental Engineering, Hong Kong, Hong Kong, Naresh Devineni, CUNY City College of New York, Department of Civil Engineering, New York, NY, United States and Hamed Ashouri, Risk Management Solutions, Inc., Newark, CA, United States
Chairs:  Hamed Ashouri, Risk Management Solutions, Inc., Newark, CA, United States, Naresh Devineni, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States, Phu Nguyen, University of California Irvine, Department of Civil and Environmental Engineering, Irvine, CA, United States and Mengqian Lu, Hong Kong University of Science and Technology, Department of Civil and Environmental Engineering, Hong Kong, Hong Kong
OSPA Liaison:  Mengqian Lu, Hong Kong University of Science and Technology, Department of Civil and Environmental Engineering, Hong Kong, Hong Kong

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • NH - Natural Hazards
Index Terms:

1817 Extreme events [HYDROLOGY]
1840 Hydrometeorology [HYDROLOGY]
1854 Precipitation [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]

Abstracts Submitted to this Session:

Characterization of Hydroclimatological Changes in Iran (206979)
Sanaz Moghim, Sharif University of Technology, Department of Civil Engineering, Tehran, Iran and Mostafa Javadian, Sharif University of Technology, Civil Engineering, Tehran, Iran
Synoptic moisture pathways associated with mean and extreme precipitation over Canada for winter and spring (212073)
Xuezhi Tan, Sun Yat-Sen University, Civil and Environmental Engineering, Guangzhou, China, Thian Yew Gan, Univ Alberta, Edmonton, AB, Canada and Yongqin David Chen, Chinese University Hong Kong, Shatin Nt, Hong Kong
Using reanalysis and drought indices to study portfolio-level climate risk in the industry sector (225742)
Luc Bonnafous, Columbia University of New York, Palisades, NY, United States
Role of Equatorial Pacific SST Anomalies in Precipitation over Western Americas (232010)
Bor-Ting Jong1, Mingfang Ting2, Richard Seager3, Naomi Henderson4 and Dong Lee4, (1)Columbia University of New York, Palisades, NY, United States, (2)Columbia University, New York, United States, (3)Columbia University, Lamont-Doherty Earth Observatory, Palisades, NY, United States, (4)Lamont -Doherty Earth Observatory, Palisades, NY, United States
Using the Signal Tools and Statistical Tools to Redefine the 24 Solar Terms in Peasant Calendar by Analyzing Surface Temperature and Precipitation (265087)
Jing-Yun Huang and Ching-pin Tung, National Taiwan University, Taipei, Taiwan
Zonal wind indices to reconstruct United States winter precipitation during El Ni\~{n}o (266822)
David J Farnham, Columbia University, Department of Earth and Environmental Engineering, New York, NY, United States, Scott Steinschneider, Cornell University, Ithaca, United States and Upmanu Lall, Columbia University, Earth and Environmental Engineering, New York, United States
Memory and Trend of Precipitation in China during 1966-2013 (271279)
Muye Du, Fubao Sun and Wenbin Liu, Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
The Seasonal and Spatial Heterogeneity of the Relationship Between Hourly Precipitation Intensity and Temperature in the Contiguous United States (271357)
Guocan Wu and Kaicun Wang, Beijing Normal University, Beijing, China
A hydro-meteorological model chain to assess the influence of natural variability and impacts of climate change on extreme events and propose optimal water management (272074)
Florian Willkofer, Raul R. Wood, Fabian von Trentini, Franz-Josef Schmid and Ralf Ludwig, Ludwig Maximilians University of Munich, Geography, Munich, Germany
Trends in Extreme Rainfall Frequency in the Contiguous United States: Attribution to Climate Change and Climate Variability Modes (280100)
Saman Armal, CUNY City College of New York, New York, NY, United States, Naresh Devineni, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States and Reza Khanbilvardi, CUNY-CREST Institute, and United Nations University (UNU) Hub on Remote-Sensing and Sustainable Innovations for Resilient Urban Systems (R-SIRUS)-UNU Institute for Water, Environment and Health (UNU-INWEH), Department of Civil Engineering, New York, United States
Analysis of the Effects of ENSO and Atmospheric Rivers on Precipitation in Los Angeles County  (297382)
Alfredo Santacruz and Kenneth Lamb, California State Polytechnic University Pomona, Pomona, CA, United States

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