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University of California, Irvine.

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Quantifying seasonal variations in continental surface water storage using a catchment-based hydrologic and routing modeling system (CHARMS) with explicit surface water bodies.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantifying seasonal variations in continental surface water storage using a catchment-based hydrologic and routing modeling system (CHARMS) with explicit surface water bodies./
作者:	Goteti, Gopalakrishna.
面頁冊數:	113 p.
附註:	Adviser: James S. Famiglietti.
Contained By:	Dissertation Abstracts International69-07B.
標題:	Engineering, Civil. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3321597
ISBN:	9780549716730

Quantifying seasonal variations in continental surface water storage using a catchment-based hydrologic and routing modeling system (CHARMS) with explicit surface water bodies.
Goteti, Gopalakrishna.

Quantifying seasonal variations in continental surface water storage using a catchment-based hydrologic and routing modeling system (CHARMS) with explicit surface water bodies. - 113 p.

Adviser: James S. Famiglietti.

Thesis (Ph.D.)--University of California, Irvine, 2008.

This dissertation is a part of the long-term research towards quantifying the magnitude of spatial and temporal variations in global surface water storage and understanding the role of surface water bodies in coupled Earth system processes. Towards these objectives, a hydrologic catchment-based land surface modeling system with explicit surface water bodies was developed. The grid-based National Center for Atmospheric Research (NCAR) Community Land Model (CLM) was modified to run on a catchment-based modeling template. The catchment-based CLM was coupled to a catchment-based river routing model, described in Chapter 2 and Chapter 3, which simulates the movement of water through river channels and floodplains. The overall framework, called the Catchment-based Hydrologic And Routing Modeling System (CHARMS), was implemented over the Wabash River basin in Central United States (drainage area &sim;72000 km2) and over the Tocantins river basin in Brazil (drainage area &sim;750000 km2). Evaluation of the proposed surface water satellite mission, called Surface Water and Ocean Topography (SWOT), to monitor hydraulic variables on a global scale is presented in Chapter 4. Simulated river stage data from the LISFLOOD-FP floodplain hydraulics model was used by a computer simulator of the proposed SWOT satellite to generate "virtual" observations of stage in the Ohio River Basin with a spatial resolution of 50 m, a temporal frequency of &sim;8 days, and an average accuracy of +/-3 cm. These "virtual" observations of stage were used to analyze the measurement error and also to estimate hydraulic variables such as temporal variability in stage (dh/dt), free surface slope (dh/dx) and discharge (Q) at selected cross sections.

ISBN: 9780549716730Subjects--Topical Terms:

783781
Engineering, Civil.

Quantifying seasonal variations in continental surface water storage using a catchment-based hydrologic and routing modeling system (CHARMS) with explicit surface water bodies.
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520 $a This dissertation is a part of the long-term research towards quantifying the magnitude of spatial and temporal variations in global surface water storage and understanding the role of surface water bodies in coupled Earth system processes. Towards these objectives, a hydrologic catchment-based land surface modeling system with explicit surface water bodies was developed. The grid-based National Center for Atmospheric Research (NCAR) Community Land Model (CLM) was modified to run on a catchment-based modeling template. The catchment-based CLM was coupled to a catchment-based river routing model, described in Chapter 2 and Chapter 3, which simulates the movement of water through river channels and floodplains. The overall framework, called the Catchment-based Hydrologic And Routing Modeling System (CHARMS), was implemented over the Wabash River basin in Central United States (drainage area &sim;72000 km2) and over the Tocantins river basin in Brazil (drainage area &sim;750000 km2). Evaluation of the proposed surface water satellite mission, called Surface Water and Ocean Topography (SWOT), to monitor hydraulic variables on a global scale is presented in Chapter 4. Simulated river stage data from the LISFLOOD-FP floodplain hydraulics model was used by a computer simulator of the proposed SWOT satellite to generate "virtual" observations of stage in the Ohio River Basin with a spatial resolution of 50 m, a temporal frequency of &sim;8 days, and an average accuracy of +/-3 cm. These "virtual" observations of stage were used to analyze the measurement error and also to estimate hydraulic variables such as temporal variability in stage (dh/dt), free surface slope (dh/dx) and discharge (Q) at selected cross sections.
520 $a Simulated daily and monthly streamflow from CHARMS was validated using observations of streamflow at various locations in the Wabash River Basin and the Tocantins River Basin. Simulated monthly total water storage was validated using observations from the GRACE satellite mission. Using SRTM-derived and empirically-based channel cross-section profile information, CHARMS was used to estimate depth and floodplain inundation extent associated with the simulated discharge. A global application of CHARMS requires further analysis of the methods used to obtain cross-section profile information. This study is the first of its kind to utilize information on river flow paths and river channel cross-section geometry and explicitly simulate depth and inundation extent associated with discharge in river channels, all within a land surface model in a global climate modeling framework. The CHARMS framework will ultimately enable assimilation of satellite observations of surface water heights and inundation extents, the incorporation of water management practices such as reservoir storage, linkages to biogeochemical processes and related feedbacks to climate. The proposed SWOT satellite mission presents a plethora of opportunities to address several questions critical to the hydrologic and Earth system communities. For a robust evaluation of the proposed SWOT mission the analysis presented here needs to be extended for a longer time period and to other river basins. By demonstrating the monitoring potential of SWOT, this study serves to strengthen the case for a surface water satellite mission.
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