Virtual Experiments Guide Calibration Strategies for a Real-World Watershed Application of Coupled Surface-Subsurface Modeling

Yu, Xuan; Duffy, Christopher; Yu, Zhigang; Bhatt, G.; Shi, Yuning

doi:10.1061/(asce)he.1943-5584.0001431

Cited by 2 publications

(2 citation statements)

References 37 publications

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“…PIHM‐Wetland tracks the change in water storage from the vegetation canopy, ground surface, unsaturated soil zone, and saturated soil zone by using the semidiscrete finite volume method and triangular irregular network (TIN). The reasons for adopting PIHM to develop PIHM‐Wetland include the following: (a) PIHM has a detailed representation of the surface and subsurface hydrological processes (Li et al, ; Shi et al, ; Yu, Duffy, Baldwin, & Lin, ; Yu, Duffy, Zhang, Bhatt, & Shi, ; Zhang, Slingerland, & Duffy, ); (b) TIN is flexible for delineating complex terrain, such as irregular boundaries, water bodies, and heterogeneous land surface properties (Kumar, Bhatt, & Duffy, ) and extending to large spatial scales (Braun & Sambridge, ; Zhang et al, ); (c) PIHM is a community‐based model with implementations and module extensions across disciplines (Bao, Li, Shi, & Duffy, ; Li & Duffy, ; Liu & Kumar, ; Shi, Davis, Duffy, & Yu, ; Yu et al, ; Zhang et al, ); and (d) PIHM is well supported by a set of preprocess tools (e.g., PIHM‐GIS, Kumar et al, ; and the HydroTerre national dataset platform, http://www.hydroterre.psu.edu; Leonard & Duffy, ).…”

Section: Model Developmentmentioning

confidence: 99%

“…Streamflow observations were not available in the study area for calibration and validation. The upper and lower bounds of the seven key parameters were well quantified in the earlier model applications (Shi et al, ; Yu et al, ; Yu, Duffy, Baldwin, & Lin, ). The parameters were tuned manually on the basis of the objective function of Nash–Sutcliffe efficiency (NSE; Nash & Sutcliffe, ).…”

Section: Model Applicationmentioning

confidence: 99%

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Understanding coastal wetland hydrology with a new regional‐scale, process‐based hydrological model

Sun

et al. 2018

Hydrological Processes

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Coastal wetlands represent an ecotone between ocean and terrestrial ecosystems, providing important services, including flood mitigation, fresh water supply, erosion control, carbon sequestration, and wildlife habitat. The environmental setting of a wetland and the hydrological connectivity between a wetland and adjacent terrestrial and aquatic systems together determine wetland hydrology. Yet little is known about regional-scale hydrological interactions among uplands, coastal wetlands, and coastal processes, such as tides, sea level rise, and saltwater intrusion, which together control the dynamics of wetland hydrology. This study presents a new regional-scale, physically based, distributed wetland hydrological model, PIHM-Wetland, which integrates the surface and subsurface hydrology with coastal processes and accounts for the influence of wetland inundation on energy budgets and evapotranspiration (ET). The model was validated using in situ hydro-meteorological measurements and Moderate Resolution Imaging Spectroradiometer (MODIS) ET data for a forested and herbaceous wetland in North Carolina, USA, which confirmed that the model accurately represents the major wetland hydrological behaviours. Modelling results indicate that topographic gradient is a primary control of groundwater flow direction in adjacent uplands. However, seasonal climate patterns become the dominant control of groundwater flow at lower coastal plain and land-ocean interface. We found that coastal processes largely influence groundwater table (GWT) dynamics in the coastal zone, 300 to 800 m from the coastline in our study area. Among all the coastal processes, tides are the dominant control on GWT variation. Because of inundation, forested and herbaceous wetlands absorb an additional 6% and 10%, respectively, of shortwave radiation annually, resulting in a significant increase in ET. Inundation alters ET partitioning through canopy evaporation, transpiration, and soil evaporation, the effect of which is stronger in cool seasons than in warm seasons. The PIHM-Wetland model provides a new tool that improves the understanding of wetland hydrological processes on a regional scale. Insights from this modelling study provide benchmarks for future research on the effects of sea level rise and climate change on coastal wetland functions and services.

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Section: Model Developmentmentioning

confidence: 99%

Section: Model Applicationmentioning

confidence: 99%

Understanding coastal wetland hydrology with a new regional‐scale, process‐based hydrological model

Sun

et al. 2018

Hydrological Processes

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Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data

Mohammadi,

Gao,

Pilesjö

et al. 2024

Appl Water Sci

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Hydrological modeling realism is a central research question in hydrological studies. However, it is still a common practice to calibrate hydrological models using streamflow as a single hydrological variable, which can lead to large parameter uncertainty in hydrological simulations. To address this issue, this study employed a multi-variable calibration framework to reduce parameter uncertainty in a glacierized catchment. The current study employed multi-variable calibration using three different calibration schemes to calibrate a glacio-hydrological model (namely the FLEXG) in northern Sweden. The schemes included using only gauged streamflow data (scheme 1), using satellite snow cover area (SCA) derived from MODIS data (scheme 2), and using both gauged streamflow data and satellite SCA data as references for calibration (scheme 3) of the FLEXG model. This study integrated the objective functions of satellite-derived SCA and gauged streamflow into one criterion for the FLEXG model calibration using a weight-based approach. Our results showed that calibrating the FLEXG model based on solely satellite SCA data (from MODIS) produced an accurate simulation of SCA but poor simulation of streamflow. In contrast, calibrating the FLEXG model based on the measured streamflow data resulted in minimum error for streamflow simulation but high error for SCA simulation. The promising results were achieved for glacio-hydrological simulation with acceptable accuracy for simulation of both streamflow and SCA, when both streamflow and SCA data were used for calibration of FLEXG. Therefore, multi-variable calibration in a glacierized basin could provide more realistic hydrological modeling in terms of multiple glacio-hydrological variables.

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Virtual Experiments Guide Calibration Strategies for a Real-World Watershed Application of Coupled Surface-Subsurface Modeling

Cited by 2 publications

References 37 publications

Understanding coastal wetland hydrology with a new regional‐scale, process‐based hydrological model

Understanding coastal wetland hydrology with a new regional‐scale, process‐based hydrological model

Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data

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