An efficient domain decomposition framework for accurate representation of geodata in distributed hydrologic models

Kumar, Mukesh; Bhatt, G.; Duffy, Christopher

doi:10.1080/13658810802344143

Cited by 46 publications

(38 citation statements)

References 49 publications

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“…Tucker (2001) suggested that unstructured meshes devised using unstructured meshes should be preferred over raster DEMs. Unstructured meshes can provide an optimal representation of the terrain using the least number of elements while maintaining conformance to the geometrical and physical properties of the basin (Kumar et al, 2009) to some predefined tolerance. Furthermore, landforms and associated topography need not be represented at the constant spatial resolution of a raster DEM, a resolution that generally corresponds to the highest resolution required to represent one area of the domain of interest (Tucker, 2001).…”

Section: Unstructured Triangular Meshmentioning

confidence: 99%

Implications of mountain shading on calculating energy for snowmelt using unstructured triangular meshes

Marsh

Pomeroy

Spiteri

2012

Hydrological Processes

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In many parts of the world, the snowmelt energy balance is dominated by net solar shortwave radiation. This is the case in the Canadian Rocky Mountains, where clear skies dominate the winter and spring. In mountainous regions, solar irradiance at the snow surface is not only affected by solar angles, atmospheric transmittance, and the slope and aspect of immediate topography, but also by shadows from surrounding terrain. Many hydrological models do not consider such horizon-shadows. The accumulation of errors in estimating solar irradiance by neglecting horizon-shadows can lead to significant errors in calculating the timing and rate of snowmelt due to the seasonal storage of internal energy in the snowpack.A common approach to representing the landscape is through structured meshes. iii

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Section: Unstructured Triangular Meshmentioning

confidence: 99%

Implications of mountain shading on calculating energy for snowmelt using unstructured triangular meshes

Marsh

Pomeroy

Spiteri

2012

Hydrological Processes

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“…PIHM is a modeling system developed by hydrologists at Penn State to model the internal dynamics of watersheds (Qu & Duffy, 2007;Kumar, 2009;Kumar, Bhatt, & Duffy, 2009;Leonard & Duffy, 2013). Unlike many other hydrological models that provide only the inflow and outflow to the system, PIHM simulates spatially distributed physical hydrologic processes for entire drainage basins.…”

Section: Penn State Integrated Hydrological Modelmentioning

confidence: 99%

Hydrological Modeling and Prehistoric Settlement on Santa Rosa Island, California, USA

et al. 2016

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Fresh water availability was an important variable that influenced prehistoric human settlement on California's northern Channel Islands. Previous attempts to understand settlement on the islands use watershed size as a proxy for water at canyon mouths. In semi‐arid regions, this approach has limitations because streams may lose much or all of their flow to groundwater. We developed a distributed hydrological model for Santa Rosa Island that incorporates geospatial and temporal data for climate (precipitation, solar radiation, wind speed, relative humidity, temperature), soils, vegetation, and topography to simulate the complex land‐surface‐groundwater behavior of island hydrology for hypothetical wet, dry, and median centuries. Our simulations show that water flow is greatest in drainages on the northwest and east coasts of the island. This correlates with some of the earliest and most persistent settlement on the island. During the most extreme droughts of the last 2000 years during the Medieval Climatic Anomaly (1150–600 cal BP), island populations contracted to a small number of large coastal villages. We argue that this was related in part to the greater availability of surface water at these locations. This study expands the theoretical and methodological scope of past studies that have applied hydrological simulation to archaeological investigations.

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“…The watershed model at the CZO testbed links atmospheric observations, land-surface vegetation, soil moisture and subsurface observations into a fully-coupled distributed system [1,2,8,9,10,11,20]. The model was calibrated using 2009 data and validated with 1974 soil moisture, groundwater levels and streamflow records.…”

Section: Applicationmentioning

confidence: 99%

Watershed Reanalysis: Towards a National Strategy for Model-Data Integration

Duffy

Leonard

Bhatt

et al. 2011

2011 IEEE Seventh International Conference on E-Science Workshops

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Reanalysis or retrospective analysis is the process of re-analyzing and assimilating climate and weather observations with the current modeling context. Reanalysis is an objective, quantitative method of synthesizing all sources of information (historical and real-time observations) within a unified framework. In this context, we propose a prototype for automated and virtualized web services software using national data products for climate reanalysis, soils, geology, terrain and land cover for the purpose of water resource simulation, prediction, data assimilation, calibration and archival. The prototype for model-data integration focuses on creating tools for fast data storage from selected national databases, as well as the computational resources necessary for a dynamic, distributed watershed prediction anywhere in the continental US. In the future implementation of virtualized services will benefit from the development of a cloud cyber infrastructure as the prototype evolves to data and model intensive computation for continental scale water resource predictions.

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An efficient domain decomposition framework for accurate representation of geodata in distributed hydrologic models

Cited by 46 publications

References 49 publications

Implications of mountain shading on calculating energy for snowmelt using unstructured triangular meshes

Implications of mountain shading on calculating energy for snowmelt using unstructured triangular meshes

Hydrological Modeling and Prehistoric Settlement on Santa Rosa Island, California, USA

Watershed Reanalysis: Towards a National Strategy for Model-Data Integration

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