H018
Advancing hydrologic process understanding across scales using new datasets and methods
Session ID#: 83510
Session Description:
In many hydrologic analyses, measurements of fluxes and states across different spatial and temporal scales are often complemented by different types of modeling tools. The efficacy of these tools largely depends on how well we understand different physical processes across scales, as improved process understanding can significantly decrease model uncertainties and lead to superior performance. In this satellite era, where unique datasets are becoming more readily available and the so-called “big data” problems are becoming commonplace, we are more poised than ever before in testing novel hypotheses to help improve process understanding across scales. In this session, we invite original contributions related to the testing of new hypotheses and methods, applications of new and unique datasets, novel ways of characterizing hydrologic fluxes and states, and the applications of big data - all with an overarching goal of improving hydrologic process understanding across different spatial and temporal scales.
Index Terms:
1804 Catchment [HYDROLOGY]
1805 Computational hydrology [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
Primary Convener: Tirthankar Roy, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States
Conveners: Antonio Alves Meira Neto1, Paulo Tarso S. Oliveira2 and Peter A A Troch1, (1)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States(2)Escola Engenharia Sao Carlos, Tucson, AZ, United States
Primary Liaison: Paulo Tarso S. Oliveira, Escola Engenharia Sao Carlos, Tucson, AZ, United States
Bias Adjustment Factors Based on Climate and Temporal Resolution for a Precipitation Intensity Factor Commonly Used in Soil Erosion Modeling (496861)
Andrew Fullhart, Tucson, AZ, United States, Mark Nearing, USDA ARS, Tucson, AZ, United States and Mark Weltz, USDA ARS, Reno, NV, United States
Implementing Hillslope-scale Hydrology in the Community Terrestrial Systems Model: Do hillslope-scale hydrologic processes affect predictions of global environmental change? (499319)
Sean C Swenson1, Aaron Jospeh Potkay2, Ying Fan2, Martyn P Clark3 and David M Lawrence1, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)Rutgers University, Department of Earth and Planetary Sciences, Piscataway, NJ, United States, (3)NCAR, Boulder, CO, United States
Combining Acoustic and Optical Backscatter, with Doppler Processing of Signals Produces a Powerful Sediment Concentration and Flux Sensor (500212)
Yogesh C Agrawal, Sequoia Scientific, Inc., Bellevue, WA, United States and Ole Aarup Mikkelsen, Terma, Space Division, Herlev, Denmark
Improving the Representation of Vegetation in Global Hydrological Models using Earth Observation Data (505275)
Tina Trautmann1, Sujan Koirala1, Nuno Carvalhais1, Andreas Guntner2 and Martin Jung1, (1)Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany, (2)German Research Centre for Geosciences, Potsdam, Germany
Impacts of upstream streamflow gauges and high-resolution soil texture information on WRF-Hydro model calibration skill in semi-arid environments (508481)
Mengtian Lu, Zhejiang University, Hangzhou, China, Pieter Hazenberg, Deltares, Delft, Netherlands and Timothy M Lahmers, University of Arizona, Tucson, AZ, United States
Soil Loss from Small Rangeland Plots under Simulated Rainfall and Run-on Conditions (512482)
Viktor Polyakov, USDA-ARS, Tucson, AZ, United States, Mark Nearing, USDA ARS, Tucson, AZ, United States and Jeffry Stone, USDA-ARS, Tucson, United States
A Calibration Study of Water Table Fluctuation Model for Hydraulic Characterizations of Thick Unsaturated Zones (513101)
Jieun Park1, Daeun An1, Eungyu Park1, Jina Jeong1, Weon Shik Han2 and Kue-Young Kim3, (1)Kyungpook National University, Department of Geology, Daegu, South Korea, (2)Yonsei University, Department of Earth System Science, Seoul, South Korea, (3)Korea Institute of Geoscience & Mineral Resources, Daejeon, South Korea
Global Mapping of Soil Saturated Hydraulic Conductivity – Using Comprehensive Legacy Data and Ensemble Machine Learning (515456)
Surya Gupta1, Tomislav Hengl2, Peter Lehmann1, Sara Bonetti1, Andreas Papritz1 and Dani Or1, (1)ETH Zurich, Soil and Terrestrial Environmental Physics (STEP), Zürich, Switzerland, (2)OpenGeoHub Foundation, Wageningen, Netherlands
Rainfall-runoff modeling at different spatial scales: Application of semi-distributed hydrological modeling in the Godavari River Basin, India (535538)
Vimal Chandra Sharma, Indian Institute of Technology Hyderabad, Environmental and Water Resources Engineering, Department of Civil Engineering, Hyderabad, India and Satish Kumar Regonda, Indian Institute of Technology Hyderabad, Environmental and Water resources Engineering, Department of Civil Engineering, Hyderabad, India
Curve Number Development using Normalized Difference Vegetation Index for the Contiguous United States in Hydrologic Micro Services (547344)
Muluken Muche1, Rajbir Parmar1, Sumathy Sinnathamby2, Deron Smith3 and John Michael Johnston1, (1)US Environmental Protection Agency, Office of Research and Development, Athens, GA, United States, (2)ORISE, U.S. Environmental Protection Agency, Athens, United States, (3)Independent Contractor, US Environmental Protection Agency, Athens, GA, United States
Revisiting and optimizing the Hydrological Response Units based on gridded meteorological data and spatially varying parameters (549058)
David Poblete, Universidad de Valparaíso, Escuela de Ingeniería Civil, Valparaíso, Chile and Jorge Arevalo, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States; Universidad de Valparaíso, Departamento de Meteorología, Valparaiso, Chile
ODE representation of tile drainage on hillslopes of varying topography (551083)
Morgan Rae Fonley1, Keyu Qiu2, Nathan Haut1, Nicolas Giron2 and Ricardo Mantilla2, (1)Alma College, Alma, MI, United States, (2)University of Iowa, Iowa City, IA, United States
Understanding the Role of Asymmetrical Warming on Streamflow Changes in the Western U.S. Using a Multi-model Approach (554946)
Zhaoxin Ban1, Tapash Das2, Daniel R Cayan3, Mu Xiao1 and Dennis P Lettenmaier4, (1)University of California Los Angeles, Los Angeles, CA, United States, (2)CH2M Hill San Diego, San Diego, CA, United States, (3)University of California San Diego, La Jolla, CA, United States, (4)UCLA, Department of Geography, Los Angeles, CA, United States
Assessing groundwater recharge in arid and semiarid regions using integrated modeling and remote sensing (556900)
Li Huang1, John L Sabo1, Hamidreza Ghasemi Damavandi1, Reepal Shah2, Dimitrios Stampoulis1, Yushiou Tsai3 and Yuhang Wei4, (1)Arizona State University, Future H2O, Knowledge Enterprise Development, Tempe, AZ, United States, (2)Indian Institute of Technology Gandhinagar, Ahmedabad, India, (3)University of Vermont, Burlington, VT, United States, (4)Texas A & M University College Station, College Station, TX, United States
Characterizing spatial variability in denitrification potential during infiltration under heterogeneous land use and precipitation patterns (558823)
Galen Gorski1, Andrew T Fisher1, Sarah Beganskas2, Calla M. Schmidt3 and Hannah Morgan Dailey4, (1)University of California Santa Cruz, Earth and Planetary Sciences, Santa Cruz, CA, United States, (2)University of California Santa Cruz, Earth and Planetary Sciences Department, Santa Cruz, CA, United States, (3)University of San Francisco, Environmental Science, San Francisco, CA, United States, (4)University of California Santa Cruz, Santa Cruz, CA, United States
\Implications of Hydrometeorological Data Infilling for Portrayal of Hydrological Variability in High Alpine Environments (565729)
Nels R Bjarke, University of Colorado at Boulder, Civil, Environmental and Architectural Engineering, Boulder, NM, United States, Ben Livneh, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States and Javier Alonso Cepeda, University of Chile, Santiago, Chile
Data analysis and model building for understanding catchment processes: the case study of the Thur catchment (575046)
Marco Dal Molin, EAWAG Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland, Mario Schirmer, University of Neuchâtel, Centre for Hydrogeology and Geothermics, Neuchâtel, Switzerland and Fabrizio Fenicia, CRP Gabriel Lippmann, Belvaux, Luxembourg
A novel multiscale multisensor data fusion framework for massive datasets-application to soil moisture estimation (594664)
Dhruva Kathuria, Texas A&M University College Station, College Station, TX, United States, Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, TX, United States and Matthias Katzfuss, Texas A&M University, College Station, United States
An Spatial Analysis of Dispersion Mechanisms in the Hydrological Response of Natural Basins Using a Distributed Travel Time Model (598949)
Pablo Chong1, Jorge Gironás1,2 and Jeffrey D Niemann3, (1)Pontificia Universidad Católica de Chile, Departamento de Ingeniería Hidráulica y Ambiental, Santiago, Chile, (2)Centro de Investigación para la Gestión Integrada de Desastres Naturales, Santiago, Chile, (3)Colorado State University, Department of Civil and Environmental Engineering, Fort Collins, CO, United States
Classifying Hydrologic Regimes of the Amazon (606918)
Sharmin Siddiqui1, Xavier E.Z. Rios2, David A Kaplan1, Sandra J Torres3, Andrea Encalada4, Elizabeth Anderson5 and Mark F. Allaire1, (1)University of Florida, Environmental Engineering Sciences, Gainesville, FL, United States, (2)Escuela Politécnica Nacional, Civil and Environmental Engineering, Quito, Ecuador, (3)Escuela Politécnica Nacional, Centro de Investigaciones y Estudios en Recursos Hídricos, Quito, Ecuador, (4)Universidad San Francisco de Quito, Colegio de Ciencias Biológicas y Ambientales, Quito, Ecuador, (5)Florida International University, Earth and Environment, Miami, FL, United States
Geomorphological Controls on Stream Baseflow Recession (613579)
Clément Roques1, Sibylle Lacroix1, Elizabeth Rae Jachens2, David E Rupp2, Kerry Leith3, Laurent Longuevergne4, Sarah Leray5, Gordon Grant2 and John S Selker6, (1)ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland, (2)Oregon State University, Corvallis, OR, United States, (3)ETH Zurich, Earth Sciences - Engineering Geology, Zurich, Switzerland, (4)Geosciences Rennes, UMR 6118 CNRS - University of Rennes, Rennes, France, (5)Pontifical Catholic University of Chile, Ingeniería Hidráulica y Ambiental, Santiago, Chile, (6)Oregon State University, Biological and Ecological Engineering, Corvallis, OR, United States
Modifying a catchment-scale model for structural soundness: a Monte-Carlo calibration of a leaking landscape (614139)
Lucy J Dykhouse1, Minseok Kim2, Katarena Matos3, Hannes H Bauser4 and Peter A A Troch3, (1)Wheaton College, Department of Geology and Environmental Science, Wheaton, IL, United States, (2)University of Arizona, Biosphere 2, Tucson, AZ, United States, (3)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (4)University of Arizona, Biosphere 2, Tucson, United States
Advancing the Understanding of Re-Infiltration Process in the WRF-Hydro Modeling System (618613)
Jiaqi Zhang1, Peirong Lin2, Shang Gao1 and Nick Fang1, (1)University of Texas at Arlington, Civil Engineering, Arlington, TX, United States, (2)Princeton University, Civil & Environmental Engineering, Princeton, NJ, United States
How do we deal with soil hydrology beyond the REV scale? (619828)
Nandita Gaur, University of Georgia, Crop and Soil Sciences, Athens, GA, United States, Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, TX, United States and Vinit Sehgal, Texas A&M University, College Station, TX, United States
Soil Erosion and Sediment Yield Estimating on Multiple Spatial and Temporal Scales (621826)
Paulo Tarso S. Oliveira1, André Almagro2, Thais Caregnatto Thomé3, Carina Barbosa Colman3, Rodrigo Bahia Pereira4, José Marcato Junior1 and Dulce Buchala Bicca Rodrigues1, (1)UFMS Federal University of Mato Grosso do Sul, Campo Grande, Brazil, (2)Federal University of Mato Grosso do Sul, Faculty of Engineering, Architecture and Urbanism, and Geography, Campo Grande MS, Brazil, (3)UFMS Federal University of Mato Grosso do Sul,, Campo Grande, Brazil, (4)Federal University of Mato Grosso do Sul, Campo Grande, Brazil
A Budyko-type formulation for baseflow and direct runoff. (624592)
Antonio Alves Meira Neto1, Tirthankar Roy2, Paulo T. S. Oliveira3 and Peter A A Troch1, (1)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (2)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (3)Federal University of Mato Grosso do Sul, Brasil, Campo Grande, Brazil
Measurement of Water Surface Elevations: Advances in Validation Measurements for the NASA SWOT Mission (633687)
J. Toby Minear, University of Colorado, Boulder, CIRES, Boulder, CO, United States, Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, Colin J Gleason, University of Massachusetts, Amherst, MA, United States and Lincoln H Pitcher, University of California Los Angeles, Los Angeles, CA, United States
