H53Q:
Utilizing Long-Term Precipitation Data Records for Understanding Climate Extremes I

Submit an Abstract to this Session



Session ID#: 34204

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 and Phu Nguyen, University of California Irvine, Department of Civil and Environmental Engineering, Irvine, CA, United States
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]
1833 Hydroclimatology [HYDROLOGY]
1854 Precipitation [HYDROLOGY]
3305 Climate change and variability [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Modeling the Large-scale Environments of Long-lived Mesoscale Convective Systems Conducive to Heavy Precipitation in the Central United States (Invited) (222267)
L. Ruby Leung1, Robert Houze2, Zhe Feng3 and Qing Yang1, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)University of Washington, Seattle, WA, United States, (3)Joint Global Change Research Institute, College Park, MD, United States
Diagnostic Analysis of Contributions of the North Atlantic Subtropical High to Sub-Seasonal Predictability of Summertime Drought and Flood in the Eastern US. (226027)
Elizabeth Carter, Syracuse University, Civil and Environmental Engineering, Syracuse, United States and Scott Steinschneider, Cornell University, Ithaca, United States
Distant and Regional Atmospheric Circulation Influences Governing Integrated Water Vapor Transport and the Occurrence of Extreme Precipitation Events (Invited) (207303)
Lance F Bosart, University at Albany State University of New York, Atmospheric and Environmental Sciences, Albany, United States, Philippe P. Papin, University at Albany State University of New York, Atmospheric and Environmental Sciences, Albany, NY, United States and Alicia Marie Bentley, SUNY at Albany, Atmospheric and Environmental Sciences, Albany, NY, United States
Moisture sources and pathways associated with the spatial variability of seasonal extreme precipitation over Canada (210497)
Thian Yew Gan, University of Alberta, Edmonton, AB, Canada, Xuezhi Tan, Sun Yat-Sen University, Civil and Environmental Engineering, Guangzhou, China and Yongqin David Chen, Chinese University Hong Kong, Shatin Nt, Hong Kong
Improved Hourly and Sub-Hourly Gauge Data for Assessing Precipitation Extremes in the U.S. (212712)
Jay H Lawrimore, NOAA Asheville, Asheville, NC, United States, David Wuertz, NOAA Natl Climatic Data Ctr, Asheville, NC, United States, Michael A Palecki, NOAA National Centers for Environmental Information, Asheville, NC, United States, Dongsoo Kim, NOAA's National Centers for Environmental Information, Center for Weather and Climate, Asheville, NC, United States, Scott E Stevens, North Carolina State University, North Carolina Institute for Climate Studies, Asheville, NC, United States, Ronald Leeper, Cooperative Institute for Satellite Earth System Studies (CISESS), North Carolina State University, Asheville, United States and Bryant Korzeniewski, Riverside Technology, Inc./NOAA's National Centers for Environmental Information, Asheville, NC, United States
Evaluation of Daily Extreme Precipitation Derived From Long-term Global Satellite Quantitative Precipitation Estimates (QPEs) (285986)
Olivier P Prat, Cooperative Institute for Climate and Satellites-NC/NCSU and NOAA/NCEI, Asheville, NC, United States, Brian R Nelson, NOAA/NCEI/CWC, Asheville, NC, United States, Elsa Nickl, University of Delaware, College of Earth, Ocean and Environment, Newark, DE, United States and Ralph R Ferraro, NOAA/NESDIS, College Park, United States
Modeling Precipitation Extremes using Log-Histospline (247525)
Whitney K Huang, Statistical and Applied Mathematical Sciences Institute, Research Triangle Park, NC, United States, Douglas W Nychka, Colorado School of Mines, Applied Mathematics and Statistics, Golden, United States and Hao Zhang, Purdue University, Statistics, West Lafayette, IN, United States
Heavy Tail Behavior of Rainfall Extremes across Germany (260807)
Attilio Castellarin, University of Bologna, Bologna, Italy, Heidi Kreibich, GFZ German Research Centre for Geosciences, Section 4.4 Hydrology, Potsdam, Germany, Sergiy Vorogushyn, GFZ German Research Centre for Geosciences, Section Hydrology, Potsdam, Germany and Bruno Merz, GFZ German Research Centre for Geosciences, Potsdam, Germany

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