Stochastic Modeling of the Hydrosphere and Biosphere

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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, Minneapolis, MN, United States
Conveners:  Xue Feng1,2, Shaoqing Liu1 and David Dralle3, (1)University of Minnesota Twin Cities, Minneapolis, MN, United States(2)University of Minnesota Twin Cities, Civil, Environmental, and Geo-Engineering, Minneapolis, MN, United States(3)University of California Berkeley, Berkeley, CA, United States

  • 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:

Niall Quinn1, Oliver Wing2, Andrew Smith2, Christopher Sampson2, Jeffrey C Neal3 and Paul D Bates2, (1)Fathom Ltd, Bristol, United Kingdom, (2)SSBN Ltd, Bristol, United Kingdom, (3)University Of Bristol, Bristol, United Kingdom

See more of: Hydrology