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A hybrid reduced-order model of fine-resolution hydrologic simulations at a polygonal tundra site

Yaning Liu, Gautam Bisht, Zachary M. Subin, William J. Riley and George Shu Heng Pau
A hybrid reduced-order model of fine-resolution hydrologic simulations at a polygonal tundra site (in Soil as complex systems, Boris Faybishenko (prefacer), Susan Hubbard (prefacer), Eoin Brodie (prefacer), Peter Nico (prefacer), Fred Molz (prefacer), Allen G. Hunt (prefacer) and Yakov Pachepsky (prefacer))
Vadose Zone Journal (February 2016) 15 (2)

Abstract

High-resolution predictions of land surface hydrological dynamics are desirable for improved investigations of regional- and watershed-scale processes. Direct deterministic simulations of fine-resolution land surface variables present many challenges, including high computational cost. We therefore propose the use of reduced-order modeling techniques to facilitate emulation of fine-resolution simulations. We use an emulator, Gaussian process regression, to approximate fine-resolution four-dimensional soil moisture fields predicted using a three-dimensional surface-subsurface hydrological simulator (PFLOTRAN). A dimension-reduction technique known as "proper orthogonal decomposition" is further used to improve the efficiency of the resulting reduced-order model (ROM). The ROM reduces simulation computational demand to negligible levels compared to the underlying fine-resolution model. In addition, the ROM that we constructed is equipped with an uncertainty estimate, allowing modelers to construct a ROM consistent with uncertainty in the measured data. The ROM is also capable of constructing statistically equivalent analogs that can be used in uncertainty and sensitivity analyses. We apply the technique to four polygonal tundra sites near Barrow, Alaska that are part of the Department of Energy's Next-Generation Ecosystem Experiments (NGEE)-Arctic project. The ROM is trained for each site using simulated soil moisture from 1998-2000 and validated using the simulated data for 2002 and 2006. The average relative RMSEs of the ROMs are under 1%.


ISSN: 1539-1663
Serial Title: Vadose Zone Journal
Serial Volume: 15
Serial Issue: 2
Title: A hybrid reduced-order model of fine-resolution hydrologic simulations at a polygonal tundra site
Title: Soil as complex systems
Author(s): Liu, YaningBisht, GautamSubin, Zachary M.Riley, William J.Pau, George Shu Heng
Author(s): Faybishenko, Borisprefacer
Author(s): Hubbard, Susanprefacer
Author(s): Brodie, Eoinprefacer
Author(s): Nico, Peterprefacer
Author(s): Molz, Fredprefacer
Author(s): Hunt, Allen G.prefacer
Author(s): Pachepsky, Yakovprefacer
Affiliation: Lawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States
Affiliation: Lawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States
Published: 201602
Text Language: English
Publisher: Soil Science Society of America, Madison, WI, United States
Number of pages: 14
References: 91
Accession Number: 2016-025860
Categories: Soils
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
N71°17'60" - N71°17'60", W156°35'60" - W156°35'60"
Secondary Affiliation: Clemson University, USA, United StatesWright State University, USA, United StatesU. S. Department of Agriculture-Agricultural Research Service, USA, United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Abstract, Copyright, Soil Science Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 201613
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