H11L:
Analysis Tools for Large Data Sets and Their Application in Hydrology Posters


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Session ID#: 44665

Session Description:
Increasingly, an integrative approach combining field and remote sensing data with modeling is needed to address the challenges facing the hydrological community. This approach often requires large diverse datasets that represent a span of spatial and temporal scales. Due to their complexity, it can be difficult to apply traditional computational and analysis techniques to these datasets. Novel approaches are needed to visualize, explore, and analyze these massive datasets. This session focuses on both the development and application of analysis tools to large multi-faceted datasets in the hydrological and related sciences. Examples of these tools include data sampling and statistical methods, data fusion and integration techniques, data mining approaches, and visualization schemes for large datasets. Potential applications of these tools include, but are not limited to, modeling evapotranspiration and other earth system processes, assessing flood and drought risk, characterizing the spatial variability of precipitation, and water resources
Primary Convener:  Joseph G Alfieri, USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States
Convener:  Chad W Higgins, College of Agricultural Sciences, Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States
Primary Liaison:  Joseph G Alfieri, USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States
Chairs:  Joseph G Alfieri, USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States and Chad W Higgins, College of Agricultural Sciences, Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States
OSPA Liaison:  Joseph G Alfieri, USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States

Cross-Listed:
  • A - Atmospheric Sciences
Index Terms:

0430 Computational methods and data processing [BIOGEOSCIENCES]
1849 Numerical approximations and analysis [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]
3336 Numerical approximations and analyses [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Analyzing California Reference Streamflow with the Seasonally-based Functional Flows Calculator (402990)
Noelle Patterson, University of California Davis, Davis, United States, Belize Arela Albin Lane, Utah State University, Civil and Environmental Engineering, Logan, UT, United States, Samuel Sandoval Solis, University of California Davis, Department of Land, Air, and Water Resources, Davis, United States, Sarah M Yarnell, University of California Davis, Center for Watershed Sciences, Davis, CA, United States and Yexuan Qiu, University of California Davis, Davis, CA, United States
Analysis of high-resolution gridded weather datasets obtained from NCEP’s URMA and LDAS reanalysis (417392)
Roshan K Shrestha1, Manuel Pondeca2, Perry Shafran3, Geoff DiMego4, Annette M Gibbs2, Michael B Ek5, Jacob R Carley6 and Mitchell Burgard7, (1)IMSG / NOAA, NCEP, College Park, MD, United States, (2)Lynker @ NOAA/NWS/NCEP/EMC, College Park, United States, (3)SAIC, Reston, United States, (4)STC / NOAA, NCEP, College Park, MD, United States, (5)National Center for Atmospheric Research and Developmental Testbed Center, Boulder, United States, (6)NOAA/NCEP/EMC, College Park, MD, United States, (7)USDA Forest Service, Kalispell, United States
Visualization and Analysis of Observed Spatial and Temporal Variation of Water Temperature in the West Branch of the Susquehanna River, Pennsylvania (460680)
Jessica Thomas Newlin, Bucknell University, Lewisburg, PA, United States and Xingyu Lai, Bucknell University, Civil and Environmental Engineering, Lewisburg, PA, United States

See more of: Hydrology