H11H:
Advances in Integrating Novel Monitoring Data with Distributed Hydrologic Models Posters


Submit an Abstract to this Session


Session ID#: 50698

Session Description:
Recent advances in sensor technologies and sensor networks are pushing the boundaries of our measurement capabilities. The availability of low-cost sensor systems and remotely-sensed, innovatively-traced, crowd-sourced and traditional sources of data are positively impacting data-intensive water research. Distributed hydrologic models that integrate physical, chemical, and ecological processes across scales and hydrologic domains are being developed, refined and tested to gain insights into complex water systems. The aim of this session is to bring together researchers interested in advancing all aspects of hydrologic science by fully exploiting new types of data (e.g., hard and soft data, citizen science approaches) and their assimilation in distributed hydrologic models. We invite abstracts that report recent developments in water quality and quantity in catchments and their sub-units with an emphasis on the integration between models and data, in particular, studies that cross disciplinary boundaries and that enhance process understanding at unprecedented scales and resolution.
Primary Convener:  Mantha S Phanikumar, Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States
Conveners:  Stefan Krause, University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, B15, United Kingdom, Joshua Larsen, University of Queensland, St Lucia, QLD, Australia; Institute of Earth Surface Dynamics, Faculty of Geosciences and Environment, University of Lausanne, Lausanne, Switzerland and Nicholas J K Howden, University of Bristol, Bristol, BS8, United Kingdom
Primary Liaison:  Mantha S Phanikumar, Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States
Chairs:  Mantha S Phanikumar, Michigan State University, Civil and Environmental Engineering, East Lansing, MI, United States, Stefan Krause, University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, B15, United Kingdom and Nicholas J K Howden, University of Bristol, Bristol, BS8, United Kingdom
OSPA Liaison:  Mantha S Phanikumar, Michigan State University, Civil and Environmental Engineering, East Lansing, MI, United States

Cross-Listed:
  • B - Biogeosciences
  • EP - Earth and Planetary Surface Processes
  • GC - Global Environmental Change
  • NH - Natural Hazards
Index Terms:

0496 Water quality [BIOGEOSCIENCES]
1805 Computational hydrology [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]
1916 Data and information discovery [INFORMATICS]

Abstracts Submitted to this Session:

Integrating citizen-science generated data with the JULES land-surface model for hydrological analysis in the tropical Andes (433664)
Hsi-Kai Chou, Imperial College London, London, SW7, United Kingdom, Boris F Ochoa-Tocachi, Imperial College London, Civil and Environmental Engineering, London, United Kingdom, Wouter Buytaert, Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, SW7, United Kingdom and Regional Initiative for Hydrological Monitoring of Andean Ecosystems (iMHEA)
Design of water quality monitoring using surrogate approach in central Germany (377949)
Seifeddine Jomaa1, Xiaoqiang Yang2 and Michael Rode1, (1)Helmholtz Centre for Environmental Research - UFZ, Department of Aquatic Ecosystem Analysis and Management, Magdeburg, Germany, (2)Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Department of Ecohydrology and Biogeochemistry, Berlin, Germany
Evaluating a Coupled Phenology and Surface Energy Balance model to Understand Stream-Subsurface Temperature Dynamics in a Mixed-Use Farmland Catchment (400832)
Han Qiu1, Phillip Blaen2, Sophie Comer-Warner3, Prof. David M. Hannah, PhD3, Stefan Krause4 and Mantha S Phanikumar5, (1)Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States, (2)University of Birmingham, Birmingham, B15, United Kingdom, (3)University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, United Kingdom, (4)University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, B15, United Kingdom, (5)Michigan State University, Civil & Environmental Engineering, East Lansing, United States
Examining Citizen Science in Watershed Hydrology Research: Relationships Between Volunteer Motivations and Data Quantity and Quality (446948)
Xoco Shinbrot1, Lyssette Muñoz Villers2, Kelly Jones1, Robert Manson3, Alex S Mayer4 and Miriam Ramos Escobedo5, (1)Colorado State University, Fort Collins, CO, United States, (2)National Autonomous University of Mexico, Ciudad DE Armería, Mexico, (3)Instituto Nacional de Ecologia, Xalapa, Mexico, (4)Michigan Technological University, Civil and Environmental Engineering, Houghton, United States, (5)Global Water Watch, Mexico, Coatepec, Mexico
Improving the Accuracy of Stream Temperatures Acquired through Ground-Based Time-Lapse Thermal Infrared Imagery (428043)
Emily Alyssa Baker, Syracuse University, Syracuse, NY, United States, Laura Lautz, Syracuse University, Syracuse, United States and Jeffrey M McKenzie, McGill University, Earth and Planetary Sciences, Montreal, QC, Canada
An enhanced representation of forest cover for distributed hydrologic modeling based on national-scale forest monitoring data, remote sensing, and biophysical variables in a statistical learning algorithm (423450)
Sara A Goeking, Utah State University, Logan, UT, United States; United States Forest Service, Research & Development, Forest Inventory and Analysis, Logan, United States and David G Tarboton, Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, UT, United States
Integrative vs. derivative indicators: which should we use to detect water quality improvements? (450327)
François Birgand, North Carolina State University Raleigh, Raleigh, NC, United States, Nicholas J K Howden, University of Bristol, Bristol, BS8, United Kingdom, Tim Burt, University of Durham, Durham, United Kingdom and Fred Worrall, Durham University, Durham, United Kingdom
Monitoring preferential flow and macropore structures at the landscape scale – causes, characteristics and consequences (Invited) (384384)
Theresa Blume, GFZ German Research Centre for Geosciences, Hydrology, Potsdam, Germany, Dominic Demand, University of Freiburg, Chair of Hydrology, Freiburg, Germany, Anne-Kathrin Schneider, Technical University Braunschweig, Institute of Geoecology, Braunschweig, Germany, Loes van Schaik, Technical University Berlin, Institute of Ecology, Berlin, Germany and Markus Weiler, Albert-Ludwigs-University of Freiburg, Chair of Hydrology, Freiburg, Germany
Multiscale investigation of dynamic stage-driven groundwater/river water interaction using surface-based and underwater 4D Electrical Resistivity Tomography (466112)
Tim C Johnson1, Jonathan N Thomle2, Christopher E Strickland2 and James Stegen2, (1)Pacific Northwest National Laboratory, Richland, United States, (2)Pacific Northwest National Laboratory, Richland, WA, United States
Overland water flow component for DSSAT model (377052)
Andrey Guber, Michigan State University, Department of Plant, Soil and Microbial Sciences, East Lansing, MI, United States, Jessica Fry, Michigan State University, Plant, Soil and Microbial Sciences, East Lansing, MI, United States and Alexandra N Kravchenko, Michigan State University, Department of Plant, Soil, and Microbial Sciences, East Lansing, MI, United States
Process-based modeling of soil moisture, soil temperature, and surface energy fluxes in the U.S. southern plains (382004)
Jorge Andres Celis, University of Oklahoma Norman Campus, Norman, OK, United States, Hernan A Moreno, The University of Texas at El Paso, El Paso, United States, Jason Vogel, Universtiy of OKlahoma, Civil Engineering & Environmental Sciences, Norman, OK, United States, Renee A McPherson, University of Oklahoma, South Central Climate Adaption Science Center, Norman, United States and Tri Pham, University of Oklahoma, Norman, OK, United States
Streamflow and stream temperature forecasting based on real-time citizen science data (351283)
Pedro M. Avellaneda, Indiana University - Bloomington, Bloomington, United States, Darren L Ficklin, Indiana University Bloomington, Bloomington, IN, United States, Christopher Lowry, University at Buffalo, Geology, Buffalo, NY, United States, Jason Knouft, Saint Louis University, Department of Biology, St. Louis, MO, United States and Damon Hall, University of Missouri, Department of Bioengineering, Columbia, MO, United States

See more of: Hydrology