H13O:
Stochastic Modeling of the Hydrosphere and Biosphere Posters


Submit an Abstract to this Session


Session ID#: 50715

Session Description:
Stochastic models can provide parsimonious and mathematically tractable numerical frameworks for characterizing the response of the hydrosphere and biosphere to environmental changes and anthropogenic disturbances. This session welcomes contributions that advance understanding and capability of stochastic modeling frameworks in hydrology, ecology, and biogeochemistry. Submissions may address external sources of stochasticity in drivers such as climatic forcing, as well as internal system variability and uncertainties. The latter can be related to incomplete process understanding, parameter upscaling (e.g., for spatially heterogeneous soils and land-cover), and temporally dynamic properties (e.g., plant trait plasticity and adaptation). We seek studies that demonstrate how rigorous, probabilistic representations can help identify risks, make predictions that are robust to scenario unpredictability, and quantify model sensitivity to parameter uncertainty or non-stationarity. We welcome submissions that facilitate communication of probabilistic outcomes to resource managers, and the integration of the hydrosphere and biosphere into stochastic Earth system modeling frameworks.
Primary Convener:  Gene-Hua Crystal Ng, University of Minnesota Twin Cities, Earth Sciences, Minneapolis, MN, United States
Conveners:  Xue Feng, University of Minnesota Twin Cities, St. Anthony Falls Laboratory, Minneapolis, United States, Christoforos Pappas, ETH Zurich, Zurich, Switzerland and David Dralle, USDA Forest Service, Pacific Southwest Research Station, Davis, United States
Primary Liaison:  Gene-Hua Crystal Ng, University of Minnesota Twin Cities, Department of Earth and Environmental Sciences and Saint Anthony Falls Laboratory, Minneapolis, United States
Chairs:  Gene-Hua Crystal Ng, University of Minnesota Twin Cities, Department of Earth and Environmental Sciences and Saint Anthony Falls Laboratory, Minneapolis, United States, Christoforos Pappas, ETH Zurich, Zurich, Switzerland and Xue Feng, University of Minnesota Twin Cities, Department of Civil, Environmental, and Geo-Engineering and Saint Anthony Falls Laboratory, Minneapolis, United States
OSPA Liaison:  Xue Feng, University of Minnesota Twin Cities, St. Anthony Falls Laboratory, Minneapolis, United States

Cross-Listed:
  • B - Biogeosciences
  • NG - Nonlinear Geophysics
Index Terms:

0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
1813 Eco-hydrology [HYDROLOGY]
1869 Stochastic hydrology [HYDROLOGY]

Abstracts Submitted to this Session:

Unified stochastic modelling with applications in hydrosphere and beyond (451452)
Simon Michael Papalexiou, University of Saskatchewan, Civil, Geological and Environmental Engineering, Saskatoon, SK, Canada
What floods are extreme? Insights from a stochastic description of river flow dynamics (389988)
Stefano Basso1, Lisa Hennig1,2, Ralf Merz3 and Gianluca Botter4, (1)Helmholtz Centre for Environmental Research - UFZ, Catchment Hydrology, Halle (Saale), Germany, (2)University of Bayreuth, Bayreuth, Germany, (3)Helmholtz Centre for Environmental Research - UFZ, Department of Catchment Hydrology, Halle (Saale), Germany, (4)University of Padua, Department of Civil, Environmental and Architectural Engineering, Padua, Italy
Focused Recharge Modeling using Statistical Stochastic Approaches (371448)
Esther Xu Fei1, Daniel Cadol1, Fred M Phillips2 and Brad Talon Newton3, (1)New Mexico Institute of Mining and Technology, Earth and Environmental Science, Socorro, United States, (2)New Mexico Institute of Mining and Technology, Socorro, NM, United States, (3)New Mexico Bureau of Geology and Mineral Resources, Socorro, NM, United States
Modeling the Impact of Spatiotemporally Variable Vegetation on Groundwater Recharge (423852)
Harsh Anurag1, Gene-Hua Crystal Ng2, Kathy Tokos3 and Robert Tipping1, (1)University of Minnesota Twin Cities, Minneapolis, MN, United States, (2)University of Minnesota Twin Cities, Department of Earth and Environmental Sciences and Saint Anthony Falls Laboratory, Minneapolis, United States, (3)University of Minnesota, Minneapolis, MN, United States
Evaluating the spatial and temporal variability of plant traits in a desert watershed using a data-conditioned stochastic parameterization method (467427)
Shaoqing Liu, University of Minnesota, Twin Cities, Department of Earth Science, Minneapolis, MN, United States and Gene-Hua Crystal Ng, University of Minnesota Twin Cities, Department of Earth and Environmental Sciences and Saint Anthony Falls Laboratory, Minneapolis, United States
On the Coupled Dynamics of Soil Moisture, Temperature, and Oxygen in an Urban Agricultural Soil (434777)
Joseph Sizemore1, Sazzad Sharior1 and Anthony Parolari2, (1)Marquette University, Milwaukee, WI, United States, (2)Marquette University, Department of Civil, Construction and Environmental Engineering, Milwaukee, United States
Crop failure risk under deterministic and stochastic irrigation controls (438629)
Mark S Bartlett Jr, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States; Duke University, Civil and Environmental Engineering, Durham, NC, United States and Amilcare M Porporato, Princeton University, Civil and Environmental Engineering, Princeton, United States; Princeton Environmental Institute, Princeton, United States
Agricultural risk management under climate variability: the role of crop diversification (451731)
Amilcare M Porporato, Princeton University, Civil and Environmental Engineering, Princeton, United States, Dr. Samantha R Hartzell, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States and Mark S Bartlett Jr, Duke University, Civil and Environmental Engineering, Durham, NC, United States
Spatio-temporal analysis of wetlandscapes impacted by shallow groundwater (390303)
Leonardo Bertassello, Purdue University, West Lafayette, IN, United States, P Suresh Rao, Purdue University, Lyles School of Civil Engineering and Department of Agronomy, West Lafayette, IN, United States, Antoine Aubeneau, Purdue University, West Lafayette, United States, James W Jawitz, University of Florida, Department of Soil, Water, and Ecosystem Sciences, Ft Walton Beach, FL, United States and Gianluca Botter, University of Padua, Department of Civil, Environmental and Architectural Engineering, Padua, Italy
Water table dynamics in saline wetlands (408942)
Saverio Perri, Princeton University, High Meadows Environmental Institute, Princeton, United States and Annalisa Molini, Tulane University, Department of River-Coastal Science & Engineering, New Orleans, United States
Temporal Downscaling of Hydrometeorological Tracers (417991)
Catherine Emily Finkenbiner and Stephen P Good, Oregon State University, Department of Biological & Ecological Engineering, Corvallis, OR, United States

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