H13K:
Weather/Climate Ensembles and Statistical Downscaling for Hydrologic Prediction Systems: Methods, Process Understanding, and Applications II Posters

Submit an Abstract to this Session



Session ID#: 29489

Session Description:
Hydrological prediction systems at sub-daily to multi-decadal time scales assist decision making by providing improved information on flooding, droughts, agricultural applications, and climate impact assessments.

These prediction systems use downscaled meteorological inputs to improve accuracy and ensembles techniques to better represent meteorological uncertainty produced by global and regional scale numerical weather prediction models.

Examples of statistical downscaling techniques used to bridge this scale gap are the perfect prognosis and model output statistical approaches such as bias correction. Such downscaled and ensemble-based inputs enhance decision making capabilities and increase modeling fidelity as compared to using global/regional meteorological models directly.

This session aims to showcase advances in ensemble methods and downscaling of multi-model climate and weather projections and their relevance in improving hydrologic modeling and prediction across spatial and temporal scales. Groups that use such approaches in risk analysis, flood and drought forecasting, urban hydrology and agriculture are invited.

Primary Convener:  Firas Saleh, Stevens Institute of Technology, Davidson Laboratory, Deptartment of Civil, Environmental and Ocean Engineering, Union City, NJ, United States
Conveners:  Zilefac Elvis Asong, Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada, Howard S. Wheater, Centre for Hydrology and Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada and Ricardo Mantilla, University of Iowa, Iowa City, IA, United States
Chairs:  Firas Saleh, Stevens Institute of Technology, Davidson Laboratory, Deptartment of Civil, Environmental and Ocean Engineering, Union City, NJ, United States, Howard S. Wheater, Centre for Hydrology and Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada, Zilefac Elvis Asong, Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada and Ricardo Mantilla, University of Iowa, Iowa City, IA, United States
OSPA Liaison:  Ricardo Mantilla, University of Iowa, Iowa City, IA, United States
Co-Organized with:
Hydrology, Atmospheric Sciences, and Global Environmental Change
Index Terms:

1816 Estimation and forecasting [HYDROLOGY]
1840 Hydrometeorology [HYDROLOGY]
3337 Global climate models [ATMOSPHERIC PROCESSES]
3354 Precipitation [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Establishing a Water Resources Resilience Baseline for Mexico City (298683)
Faranak Behzadi and Patrick A Ray, University of Cincinnati Main Campus, Cincinnati, OH, United States
Performance of CMIP3 and CMIP5 GCMs to simulate observed rainfall characteristics over the Western Himalayan region (207574)
Jitendra Kumar Meher, Bidhan Chandra Krishi Viswavidyalaya, Agricultural Meteorology and Physics, Mohanpur, West Bengal, India and Lalu Das, Bidhan Chandra Krishi Viswavidyalaya, Dept. of Agricultural Meteorology and Physics, Mohanpur, India
Improvements of ENSO-monsoon relationship in CMIP5 models through statistical downscaling over India. (218333)
Javed Akhter1, Lalu Das2 and Argha Deb1, (1)Jadavpur University, Dept. of Physics, Kolkata, India, (2)Bidhan Chandra Krishi Viswavidyalaya, Dept. of Agricultural Meteorology and Physics, Mohanpur, India
Quantification of downscaled precipitation uncertainties via Bayesian inference (250285)
Ahmad Hasan Nury1, Ashish Sharma2 and Lucy Amanda Marshall2, (1)University of New South Wales, Sydney, NSW, Australia, (2)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia
Impact of climate change on precipitation distribution and water availability in the Nile using CMIP5 GCM ensemble. (254534)
Zelalem T. Mekonnen, University of California Los Angeles, Los Angeles, CA, United States; Research Triangle Institute, SSES, EHS, Water Resources Management Division, Research Triangle Park, CO, United States and Prof. Mekonnen K Gebremichael, PhD, University of California, Los Angeles, United States
Identification of reliable gridded reference data for statistical downscaling methods in Alberta (280466)
Hyung-Il Eum, Alberta Environment and Parks, Calgary, AB, Canada and Anil Gupta, Alberta Environment and Protected Areas, Calgary, AB, Canada
Characterizing and Addressing the Need for Statistical Adjustment of Global Climate Model Data (282297)
Kathleen D White, US Army Corps of Engineers, Jacksonville, FL, United States, Bryan Baker, US Army Corps of Engineers Cold Regions Research and Engineering Laboratory, Hanover, NH, United States, Chanel Mueller, US Army Corps of Engineers, Headquarters, Washington DC, United States, Gabriele Villarini, IIHR—Hydroscience and Engineering, Iowa City, IA, United States, Patrick Foley, US Army Corps of Engineers St. Paul District, St. Paul, MN, United States and Douglas Friedman, Booz Allen Hamilton DC, Washington, DC, United States

See more of: Hydrology