H116:
Stochastic Modeling of the Hydrosphere and Biosphere





Session ID#: 27087

Session Description:
Stochastic models are ideal for characterizing the response of hydrological, ecological, and biogeochemical systems to natural and human-caused random disturbances. The complexity of stochastic models ranges from parsimonious and analytical to high-dimensional and numerical; they can be implemented through closed-form distributions as well as Monte Carlo approaches. This session welcomes proposals that advance understanding and capability of stochastic modeling frameworks in hydrology, ecology, and biogeochemistry. Submissions may address external sources of stochasticity, such as random climatic forcing, as well as internal system variability, such as in hydraulic conductivity, vegetation parameters, and biogeochemical rates. We seek studies that demonstrate how probabilistic representations can help identify threshold-based 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:  Crystal C Ng, University of Minnesota Twin Cities, Earth Sciences, Minneapolis, MN, United States
Conveners:  Xue Feng, University of Minnesota Twin Cities, Minneapolis, MN, United States; University of Minnesota Twin Cities, Civil, Environmental, and Geo-Engineering, Minneapolis, MN, United States, Shaoqing Liu, University of Minnesota Twin Cities, Earth Sciences, Minneapolis, MN, United States and David Dralle, University of California Berkeley, Berkeley, CA, United States

Cross-Listed:
  • B - Biogeosciences
  • GC - Global Environmental Change
  • NG - Nonlinear Geophysics
Index Terms:

0466 Modeling [BIOGEOSCIENCES]
1813 Eco-hydrology [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1869 Stochastic hydrology [HYDROLOGY]

Abstracts Submitted to this Session:

Christoforos Pappas, Université de Montréal, Montreal, QC, Canada
Niall Quinn1,2, Oliver Wing1,2, Andrew Smith1,2, Christopher Charles Sampson1,2, Jeffrey C Neal1,2 and Paul D Bates1,2, (1)Fathom Ltd, Bristol, United Kingdom, (2)University of Bristol, School of Geographical Sciences, Bristol, United Kingdom
Straubhaar Julien1, Philippe Renard1 and Tatiana Chugunova2, (1)University of Neuchâtel, Neuchâtel, Switzerland, (2)Total SA, Pau, France
Andrea Betterle1, Mario Schirmer1 and Gianluca Botter2, (1)EAWAG Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland, (2)University of Padua, Padua, Italy
Eric Deal, Massachusetts Institute of Technology, Earth, Atmospheric, and Planetary Sciences, Cambridge, MA, United States, David Dralle, University of California Berkeley, Berkeley, CA, United States, Jean Braun, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany and Gianluca Botter, University of Padua, Padua, Italy
Shaoqing Liu and Crystal C Ng, University of Minnesota Twin Cities, Earth Sciences, Minneapolis, MN, United States
Norman Frank Pelak III1, Roberto Revelli1 and Amilcare M Porporato2, (1)Duke University, Civil and Environmental Engineering Dept., Durham, NC, United States, (2)Duke Univ, Durham, NC, United States
Amilcare M Porporato, Duke University, Civil and Environmental Engineering, Durham, NC, United States
M. Chase Dwelle, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Valeriy Yu Ivanov, University of Michigan, Department of Civil and Environmental Engineering, Ann Arbor, MI, United States and Khachik Sargsyan, Sandia National Laboratories, Albuquerque, NM, United States

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