Dear colleagues,
We would like to invite you to submit abstracts to our session in
this year's AGU Fall Meeting (10-14 Dec, 2018) in Washington DC, titled
"Stochastic Modeling of the Hydrosphere and Biosphere."
You can submit your work (here).
Session ID: 50715
Session Title: H117. Stochastic Modeling of the Hydrosphere and
Biosphere
Section/Focus Group: Hydrology
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.
Invited speakers for this session:
Ensheng Weng (Columbia University, NASA Goddard Institute for Space
Studies)
Simon Michael Papalexiou (University of California, Irvine)
Abstract Submission Deadline: 1st August,2018
Looking forward to a great AGU meeting!
Shaoqing Liu
on behalf of the session organizers:
Crystal C Ng, University of Minnesota Twin Cities, Minneapolis, MN
Xue Feng, University of Minnesota Twin Cities, Minneapolis, MN
David Dralle, University of California Berkeley, Berkeley, CA
Christoforos Pappas, ETH Zurich
