H51T:
Monitoring and Modeling Spatial Patterns in Hydrology: Integrating Distributed Earth Observations for the Seamless Calibration and Evaluation of Hydrological and Land Surface Models Posters


Submit an Abstract to this Session


Session ID#: 49227

Session Description:
Currently, hydrological model evaluations remain focused on comparing simulations to time series representing either point scale or a spatially aggregated catchment scale observation in the form of streamflow. A paradigm shift is required for moving away from the aggregated evaluation of hydrological and land surface models towards a spatially distributed approach. Recent advances in fully distributed and grid based model codes, computational power and spatial data availability have prepared the ground for bringing the science forward. However, most model calibration and evaluation techniques lack methodologies for incorporating spatial pattern information.

Targeted areas:

  • Development of remote sensing based data sets to confront simulated spatial patterns.
  • Development of performance metrics specifically suited for evaluating spatial model performance.
  • Identification and quantification of driving forces that generate spatial patterns of hydrological states and fluxes.
  • Model parameter regionalization and regularization approaches.
  • Calibration frameworks focusing on spatial model performance from regional to global scales.
Primary Convener:  Simon Stisen, Geological Survey of Denmark and Greenland, København K, Denmark
Convener:  Luis Samaniego, Helmholtz Centre for Environmental Research GmbH – UFZ, Computational Hydrosystems, Leipzig, Germany
Primary Liaison:  Simon Stisen, Geological Survey of Denmark and Greenland, København K, Denmark
Chairs:  Simon Stisen, Geological Survey of Denmark and Greenland, København K, Denmark and Luis Samaniego, Helmholtz Centre for Environmental Research GmbH – UFZ, Computational Hydrosystems, Leipzig, Germany
OSPA Liaison:  Simon Stisen, Geological Survey of Denmark and Greenland, København K, Denmark
Index Terms:

1804 Catchment [HYDROLOGY]
1843 Land/atmosphere interactions [HYDROLOGY]
1846 Model calibration [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]

Abstracts Submitted to this Session:

Dynamic Contributing Drainage Area Mapping in the Prairie Pothole Region: Applying a Bayesian Deep Learning Technique to Multi-temporal Radarsat-2 Images (440881)
Zhaoqin Li1, Karl-Erich Lindenschmidt2, Sujata Budhathoki1, Luis Alejandro Morales-Marin3 and Brandon Williams4, (1)Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada, (2)Global Institute for Water Security, University of Saskatchewan, School of Environment and Sustainability, Saskatoon, SK, Canada, (3)Global Institute for Water Security, University of Saskatchewan, School of Environment and Sustainability, Saskatoon, Canada, (4)Global Institute for Water Security, University of Sasktachewan, Saskatoon, SK, Canada
Implications for Future Urban Ecosystem Management Alternatives for the Water Balance of the Los Angeles Basin (386756)
Ruth Engel, University of California Los Angeles, Los Angeles, United States, Nadia Kathryn Colombi, University of California Los Angeles, Institute of the Environment and Sustainability, Los Angeles, CA, United States and Dennis P Lettenmaier, UCLA, Department of Geography, Los Angeles, United States
Bridging the gap between remotely sensed big data and watershed hydrologic models (444467)
Lan Zhao1, Adnan Rajib2, Venkatesh Merwade3, Jaewoo Shin4, I Luk Kim4, Carol X Song4, Heather E Golden5 and Charles R. Lane6, (1)Purdue University, West Lafayette, United States, (2)University of Texas at Arlington, H2I Lab, Department of Civil Engineering, Arlington, TX, United States, (3)Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, IN, United States, (4)Purdue University, West Lafayette, IN, United States, (5)US Environmental Protection Agency, Office of Research & Development, Cincinnati, United States, (6)US Environmental Protection Agency, Athens, United States
Investigate the spatial pattern of loss-related variables to the simulated runoff response (385391)
Jiaqi Zhang, University of Texas at Arlington, Civil Engineering, Arlington, United States and Nick Z. Fang, Univ of TX-Arlington-Civil Eng, Arlington, United States
Landscape Heterogeneity in the North American Boreal Forest (452100)
Evan A Lyons, Stanford University, Earth System Science, Stanford, CA, United States
Predicting the spatial correlation of streamflows to understand the hydrological response of river networks (405416)
Andrea Betterle, EAWAG Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland, Mario Schirmer, University of Neuchâtel, Centre for Hydrogeology and Geothermics, Neuchâtel, Switzerland and Gianluca Botter, University of Padua, Department of Civil, Environmental and Architectural Engineering, Padua, Italy
Recovering missing rainfall data by resampling the historical dataset: a simple technique to improve the estimation of basin recharge (438225)
Fabio Oriani1,2, Simon Stisen3, Cüneyd Demirel2,4 and Grégoire Mariethoz1, (1)University of Lausanne, Faculty of Geosciences and Environment, Institute of Earth Surface Dynamics, Lausanne, Switzerland, (2)Geological Survey of Denmark and Greenland, Department of Hydrology, København K, Denmark, (3)Geological Survey of Denmark and Greenland, København K, Denmark, (4)Istanbul Technical University, Department of Civil Engineering, Maslak, Turkey
Regionalization of stream discharge in Australian catchments using multiple linear regression (459839)
Jie Jian, University of Melbourne, Parkville, VIC, Australia, Dongryeol Ryu, The University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia, Q. J. WANG, The University of Melbourne, Parkville, Australia and Justin Francis Costelloe, Melbourne University, Melbourne, Australia
The use of river flow discharge and sediment load for multi-objective calibration of SWAT based on Bayesian inference (437619)
Qinbo Cheng, Hohai University, Nanjing, China and Xi Chen, College of Hydrology and Water Resources, Hohai University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing, China
DESIGN AND EVALUATION OF A LINK-NODE HYDROLOGICAL MODEL TO STUDY THE SPATIOTEMPORAL IMPACTS OF AN INTERBASIN WATER TRANSFER IN LARGEST WETLAND OF CENTRAL AMERICA - PALO VERDE WETLAND, GUANACASTE - COSTA RICA (370536)
Marco Pazmino, University of Florida, Ft Walton Beach, FL, United States and Prof. Rafael Munoz-Carpena, Ph.D., University of Florida (Visiting Professor at Public University of Navarra, Spain), Agricultural and Biological Engineering, Gainesville, FL, United States

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