H018
Advancing Empirical Catchment Hydrology Through New Theories and Observations.

Session ID#: 160903

Session Description:
Given the ever increasing computational advances allowing for  hyper resolution modeling of earth surface processes, hydrologists might stumble upon a perceived “hyper complexity” and be discouraged to look for overarching hydrologic laws. However, empirical catchment hydrology studies invites us to have a different outlook, suggesting ways in which such complexity can be better understood, if not eradicated, through appropriate space/timescale theories. Meanwhile there is a great opportunity to advance comparative catchment hydrology through the use of new observations and datasets.  This section invites submissions of catchment scale studies that challenge the complexity paradigm by attempting to answer important questions leading to unifying theories: We encourage submissions of (I) cross timescale studies addressing the relationships between timescale and process complexity (II) novel methods for catchment grouping/classification  (III) the use of novel observations that fully track water balance variables and findings they can unravel (IV) human made signatures on catchment scale phenomena.
Index Terms:

1803 Anthropogenic effects [HYDROLOGY]
1804 Catchment [HYDROLOGY]
1839 Hydrologic scaling [HYDROLOGY]
1874 Ungaged basins [HYDROLOGY]


Primary Convener:  Antonio Alves Meira Neto, University of Arizona, Tucson, AZ, United States
Conveners:  Lili Yao1, Tirthankar Roy2 and Dingbao Wang1, (1)University of Central Florida, Orlando, FL, United States(2)University of Arizona, Tucson, United States
 
Hedging Rule at the Catchment Scale (1060305)
Aitor Jimenez1, Guta Wakbulcho Abeshu2 and Hong-Yi Li1, (1)University of Houston, Houston, TX, United States, (2)University of Houston, Houston, United States
 
Flood Scaling Behavior Analysis: Effect of Urbanization on Mean Annual Flood (1071628)
Ge Hua1, Hong-Yi Li1, Taher Chegini2, Guta Wakbulcho Abeshu2, L. Ruby Leung3, Guenter Bloeschl4 and Murugesu Sivapalan5, (1)University of Houston, Houston, TX, United States, (2)University of Houston, Houston, United States, (3)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, (4)Vienna University of Technology, Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria, (5)University of Illinois, Urbana-Champaign, Urbana-Champaign, IL, United States
 
Data Guided Exploration of the Energy Partitioning at Land Surface in the Contiguous US (1075042)
Xi Chen, University of Cincinnati Main Campus, Cincinnati, OH, United States, Dingbao Wang, University of Central Florida, Orlando, FL, United States and Murugesu Sivapalan, University of Illinois, Urbana-Champaign, Urbana-Champaign, IL, United States
 
The Role of Coupled Relations of Physiogeographic Elements in Catchment Water Balance (1085402)
Changwu Cheng1, Wenzhao Liu2, Zhaotao Mu1 and Haixiang Zhou3, (1)University of Chinese Academy of Sciences, Beijing, China, (2)Northwest A&F University, Institute of Soil and Water Conservation, Yangling, China, (3)Northwest Normal University, College of Geography and Environmental Science, Lanzhou, China
 
Climate Control on Long-term Groundwater Evapotranspiration (1091673)
Yu Zhang1, Lili Yao1, Jeffrey S Geurink2, Kshitij Parajuli2 and Dingbao Wang1, (1)University of Central Florida, Orlando, FL, United States, (2)Tampa Bay Water, Dunedin, United States
 
Integrating Successive Depressional Wetlands into a Catchment-scale Picture: Connectivity and Flow Paths (1152094)
James Maze1, C. Nathan Jones2, Michael Williams1, Daniel L Mclaughlin3 and Nicholas Corline3, (1)University of Maryland, College Park, United States, (2)University of Alabama, Biological Sciences, Tuscaloosa, United States, (3)Virginia Polytechnic Institute and State University, Forest Resources and Environmental Conservation, Blacksburg, United States
 
Understanding the Role of Climate Seasonality on the Long-Term Water Balance (1172467)
Andre Ballarin, University of Sao Paulo, Sao Paulo, United States, Antonio Alves Meira Neto, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Edson Wendland, São Carlos School of Engineering, University of São Paulo, Department of Hydraulics and Sanitation, São Carlos, Brazil and Guo-Yue Niu, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States
 
Classification of Streams and Rivers Toward a Science-Based Foundation for the Development of Nutrient Criteria in the United States (Invited) (1193632)
Elizabeth W Boyer, Penn State University, Department of Ecosystem Science & Management, University Park, United States
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