scholarly journals mizuRoute version 1: a river network routing tool for a continental domain water resources applications

2015 ◽  
Vol 8 (11) ◽  
pp. 9415-9449 ◽  
Author(s):  
N. Mizukami ◽  
M. P. Clark ◽  
K. Sampson ◽  
B. Nijssen ◽  
Y. Mao ◽  
...  
Keyword(s):  
United States ◽  
Water Resources ◽  
The United States ◽  
Hydrologic Model ◽  
River Network ◽  
Surface Model ◽  
United States Geological Survey ◽  
Network Data ◽  
Unit Hydrograph ◽  
Spatially Distributed

Abstract. This paper describes the first version of a stand-alone runoff routing tool, mizuRoute, which post-processes runoff outputs from any distributed hydrologic model or land surface model to produce spatially distributed streamflow at various spatial scales from headwater basins to continental-wide river systems. The tool can utilize both traditional grid-based river network and vector-based river network data, which includes river segment lines and the associated drainage basin polygons. Streamflow estimates at any desired location in the river network can be easily extracted from the output of mizuRoute. The routing process is simulated as two separate steps. The first is hillslope routing, which uses a gamma distribution to construct a unit-hydrograph that represents the transport of runoff from a hillslope to a catchment outlet. The second step is river channel routing, which is performed with one of two routing scheme options: (1) a kinematic wave tracking (KWT) routing procedure; and (2) an impulse response function–unit hydrograph (IRF-UH) routing procedure. The mizuRoute system also includes tools to pre-process spatial river network data. This paper demonstrates mizuRoute's capabilities with spatially distributed streamflow simulations based on river networks from the United States Geological Survey (USGS) Geospatial Fabric (GF) dataset, which contains over 54 000 river segments across the contiguous United States (CONUS). A brief analysis of model parameter sensitivity is also provided. The mizuRoute tool can assist model-based water resources assessments including studies of the impacts of climate change on streamflow.

scholarly journals mizuRoute version 1: a river network routing tool for a continental domain water resources applications

2016 ◽  
Vol 9 (6) ◽  
pp. 2223-2238 ◽  
Author(s):  
Naoki Mizukami ◽  
Martyn P. Clark ◽  
Kevin Sampson ◽  
Bart Nijssen ◽  
Yixin Mao ◽  
...  
Keyword(s):  
United States ◽  
Water Resources ◽  
The United States ◽  
Hydrologic Model ◽  
River Network ◽  
Surface Model ◽  
Network Data ◽  
Unit Hydrograph ◽  
Spatially Distributed ◽  
Grid Based

Abstract. This paper describes the first version of a stand-alone runoff routing tool, mizuRoute. The mizuRoute tool post-processes runoff outputs from any distributed hydrologic model or land surface model to produce spatially distributed streamflow at various spatial scales from headwater basins to continental-wide river systems. The tool can utilize both traditional grid-based river network and vector-based river network data. Both types of river network include river segment lines and the associated drainage basin polygons, but the vector-based river network can represent finer-scale river lines than the grid-based network. Streamflow estimates at any desired location in the river network can be easily extracted from the output of mizuRoute. The routing process is simulated as two separate steps. First, hillslope routing is performed with a gamma-distribution-based unit-hydrograph to transport runoff from a hillslope to a catchment outlet. The second step is river channel routing, which is performed with one of two routing scheme options: (1) a kinematic wave tracking (KWT) routing procedure; and (2) an impulse response function – unit-hydrograph (IRF-UH) routing procedure. The mizuRoute tool also includes scripts (python, NetCDF operators) to pre-process spatial river network data. This paper demonstrates mizuRoute's capabilities to produce spatially distributed streamflow simulations based on river networks from the United States Geological Survey (USGS) Geospatial Fabric (GF) data set in which over 54 000 river segments and their contributing areas are mapped across the contiguous United States (CONUS). A brief analysis of model parameter sensitivity is also provided. The mizuRoute tool can assist model-based water resources assessments including studies of the impacts of climate change on streamflow.

Water resources of the Texas Gulf Basin

1999 ◽  
Vol 39 (3) ◽  
pp. 121-133 ◽  
Author(s):  
J. G. Arnold ◽  
R. Srinivasan ◽  
T. S. Ramanarayanan ◽  
M. DiLuzio
Keyword(s):  
United States ◽  
Water Resources ◽  
Assessment Tool ◽  
Simulation Models ◽  
The United States ◽  
Hydrologic Model ◽  
Database Management System ◽  
United States Geological Survey ◽  
Sediment Yields ◽  
Basin Scale

A geographic information system (GIS) has been integrated with a distributed parameter, continuous time, nonpoint source pollution model SWAT (Soil and Water Assessment Tool) for the management of water resources. This integration has proven to be effective and efficient for data collection and to visualize and analyze the input and output of simulation models. The SWAT-GIS system is being used to model the hydrology of eighteen major river systems in the United States (HUMUS). This paper focuses on the integration of SWAT (basin scale hydrologic model) with the Geographical Resources Analysis Support System (GRASS-GIS) and a relational database management system. The system is then applied to the Texas Gulf River basin. Input data layers (soils, land use, and elevation) were collected at a scale of 1:250,000 from various sources. Average monthly simulated and observed stream flow records from 1970-1979 are presented for the hydrologic cataloging units (HCU) defined by the United States Geological Survey (USGS) in the Texas Gulf basin. Average annual sediment yields computed from sediment rating curves are compared against simulated sediment yields from seven river basins within the Texas Gulf showing reasonable agreement.

scholarly journals Multi-criteria parameter estimation for the Unified Land Model

2012 ◽  
Vol 16 (8) ◽  
pp. 3029-3048 ◽  
Author(s):  
B. Livneh ◽  
D. P. Lettenmaier
Keyword(s):  
United States ◽  
Remote Sensing ◽  
Parameter Estimation ◽  
Land Surface ◽  
The United States ◽  
Limiting Factor ◽  
Surface Model ◽  
United States Geological Survey ◽  
Data Sets ◽  
Skill Scores

Abstract. We describe a parameter estimation framework for the Unified Land Model (ULM) that utilizes multiple independent data sets over the continental United States. These include a satellite-based evapotranspiration (ET) product based on MODerate resolution Imaging Spectroradiometer (MODIS) and Geostationary Operational Environmental Satellites (GOES) imagery, an atmospheric-water balance based ET estimate that utilizes North American Regional Reanalysis (NARR) atmospheric fields, terrestrial water storage content (TWSC) data from the Gravity Recovery and Climate Experiment (GRACE), and streamflow (Q) primarily from the United States Geological Survey (USGS) stream gauges. The study domain includes 10 large-scale (≥105 km2) river basins and 250 smaller-scale (<104 km2) tributary basins. ULM, which is essentially a merger of the Noah Land Surface Model and Sacramento Soil Moisture Accounting Model, is the basis for these experiments. Calibrations were made using each of the data sets individually, in addition to combinations of multiple criteria, with multi-criteria skill scores computed for all cases. At large scales, calibration to Q resulted in the best overall performance, whereas certain combinations of ET and TWSC calibrations lead to large errors in other criteria. At small scales, about one-third of the basins had their highest Q performance from multi-criteria calibrations (to Q and ET) suggesting that traditional calibration to Q may benefit by supplementing observed Q with remote sensing estimates of ET. Model streamflow errors using optimized parameters were mostly due to over (under) estimation of low (high) flows. Overall, uncertainties in remote-sensing data proved to be a limiting factor in the utility of multi-criteria parameter estimation.

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