H14E:
Hydrologic Modeling Across Scales: On the Issue of Scale Dependency Posters

Submit an Abstract to this Session

Session ID#: 6915

Session Description:
Effective identification and modelling of hydrologic systems requires a scale-appropriate representation of the underlying processes. The challenge is that hydrologic processes occur at a range of spatio-temporal scales, which may not be consistent with the scales of available data (observation), and also are often not possible to be simulated within a single modelling platform. This session invites contributions that address different issues of scale for improved hydrologic understanding and modelling. Example contributions include (1) the identification and representation of dominant processes at different scales ranging from small- (e.g., hillslope) to large-scale (e.g., watershed) hydrologic systems, (2) upscaling and downscaling strategies and the transferability of parameters, state variables, observations, etc. across scales, (3) the extent and sources of uncertainties at a particular scale or at different scales, (4) the predictability of hydrologic models at different scales, and (5) the choice of appropriate space-time resolution of the modelling domain across scales.
OSPA Liaison:  Saman Razavi, University of Saskatchewan, Saskatoon, SK, Canada
Chairs:  Saman Razavi, University of Saskatchewan, Saskatoon, SK, Canada and Bethanna M Jackson, Victoria University of Wellington, Wellington, New Zealand
Primary Convener:  Saman Razavi, University of Saskatchewan, Saskatoon, SK, Canada
Conveners:  Hoshin Vijai Gupta, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Bethanna M Jackson, Victoria University of Wellington, Wellington, New Zealand and Rohini Kumar, Helmholtz Centre for Environmental Research GmbH – UFZ, Leipzig, Germany, Computational Hydrosystems, Leipzig, Germany
Index Terms:

1805 Computational hydrology [HYDROLOGY]
1839 Hydrologic scaling [HYDROLOGY]
1846 Model calibration [HYDROLOGY]
1873 Uncertainty assessment [HYDROLOGY]
Co-Sponsor(s):
  • AS - Atmospheric Sciences
  • ES - Earth Surface Processes

Abstracts Submitted to this Session:

 
H14E-0217
Application of SWAT model to quantify blue and green water resources in Alberta (33112)
Monireh Faramarzi1, Karim Abbaspour2 and Greg Goss1,3, (1)University of Alberta, Water Initiative, Edmonton, Alberta, Canada, (2)EAWAG Swiss Federal Institute of Aquatic Science and Technology, Water resources and drinking water, Duebendorf, Switzerland, (3)University of Alberta, Department of Biological Sciences, Edmonton, Alberta, Canada
 
H14E-0219
Modeling the Partitioning of Precipitation over the Almadinah Watershed, Saudi Arabia: An Integrated Approach (35383)
Talal Alharbi, King Saud University, Geology & Geophysics Department, Riyadh, Saudi Arabia, Mohamed Sultan, Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, MI, United States and Mohamed Ahmed, Western Michigan University, Kalamazoo, MI, United States; Suez Canal University, Faculty of Science, Geology Department, Ismailia, Egypt
 
H14E-0220
Hydrological Modeling of the Niger River (West Africa) for Flow Prediction in Ungauged Basins. (35090)
Jamilatou Chaibou Begou, Universite d'Abomey-Calavi, Faculte des Sciences et Techniques, Cotonou, Benin; Centre Regional AGRHYMET, Departement Information et Recherche, Niamey, Niger, Seifeddine Jomaa, UFZ, Department of Aquatic Ecosystem Analysis and Management, Magdeburg, Germany, Sihem Benabdallah, CERTE, Laboratoire Georessources, Soliman, Tunisia, Pibgnina Bazie, Centre Regional AGRHYMET, Departement Formation et Recherche, Niamey, Niger and Michael Rode, University of Potsdam, Institute of Environmental Science and Geography, Potsdam-Golm, Germany
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