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Three-dimensional volume averaged so...

Choi, Hyun Il.

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Three-dimensional volume averaged soil-moisture transport model: A scalable scheme for representing subgrid topographic control in land-atmosphere interactions.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Three-dimensional volume averaged soil-moisture transport model: A scalable scheme for representing subgrid topographic control in land-atmosphere interactions./
作者:	Choi, Hyun Il.
面頁冊數:	189 p.
附註:	Adviser: Praveen Kumar.
Contained By:	Dissertation Abstracts International67-11B.
標題:	Engineering, Environmental. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3242821
ISBN:	9780542988158

Three-dimensional volume averaged soil-moisture transport model: A scalable scheme for representing subgrid topographic control in land-atmosphere interactions.
Choi, Hyun Il.

Three-dimensional volume averaged soil-moisture transport model: A scalable scheme for representing subgrid topographic control in land-atmosphere interactions. - 189 p.

Adviser: Praveen Kumar.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.

Climate models, both global and regional, have increased in sophistication and are being run at increasingly higher resolutions. The land surface models (LSMs) coupled to these climate models have also evolved from simple bucket models to the new generation models needed to support sophisticated linkages and process interactions. In most current LSMs, however, soil-moisture transport equations limited to the vertical soil-moisture transport are unable to capture the spatial variability of soil water, and thus models have the limited predictability for land surface fluxes as well. Moreover, these models simplistically estimate the surface runoff from the soil water budget, and ignore the role of surface flow depth on the infiltration rate, which may result in a mass balance error in the terrestrial hydrologic cycle.

ISBN: 9780542988158Subjects--Topical Terms:

783782
Engineering, Environmental.

Three-dimensional volume averaged soil-moisture transport model: A scalable scheme for representing subgrid topographic control in land-atmosphere interactions.
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245 1 0 $a Three-dimensional volume averaged soil-moisture transport model: A scalable scheme for representing subgrid topographic control in land-atmosphere interactions.
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520 $a Climate models, both global and regional, have increased in sophistication and are being run at increasingly higher resolutions. The land surface models (LSMs) coupled to these climate models have also evolved from simple bucket models to the new generation models needed to support sophisticated linkages and process interactions. In most current LSMs, however, soil-moisture transport equations limited to the vertical soil-moisture transport are unable to capture the spatial variability of soil water, and thus models have the limited predictability for land surface fluxes as well. Moreover, these models simplistically estimate the surface runoff from the soil water budget, and ignore the role of surface flow depth on the infiltration rate, which may result in a mass balance error in the terrestrial hydrologic cycle.
520 $a In this research, the 3-D Volume Averaged Soil-moisture Transport (VAST) formulation is derived from the Richards equation to incorporate the lateral flow and subgrid heterogeneity due to topography. A conjunctive surface-subsurface flow model at a large scale, a 1-D Diffusion Wave (DW) surface flow model interacting with the 3-D VAST model, is developed for the comprehensive terrestrial water and energy predictions in LSMs. For the implementation of the model, the mixed numerical scheme using a time splitting method is employed for each flow component. This research also focuses on the development and construction of appropriate Surface Boundary Conditions (SBCs) for mesoscale Regional Climate Model (RCM) applications. This conjunctive flow model is substituted for the existing 1-D scheme in the Common Land Model (CLM), one of state-of-the-art LSMs. The new coupled model (CLM+VAST) performance is investigated using the new SBCs and the North American Regional Reanalysis (NARR) forcing data in the off-line mode for a study domain around the Ohio Valley region. The simulation results show that the lateral and subgrid fluxes play a significant role in total soil-moisture dynamics, and the interaction between surface and subsurface flows and the flow routing scheme improve the runoff predictability significantly in the new model. The new coupled model using realistic SBCs can provide a full suite of modeling capability to characterize surface water and energy fluxes.
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