Storage dynamics simulations in prairie wetland hydrology models: evaluation and parameterization

Shook, Kevin; Pomeroy, John W.; Spence, Christopher; Boychuk, Lyle

doi:10.1002/hyp.9867

Cited by 107 publications

(136 citation statements)

References 48 publications

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“…The size and extent of water bodies across Canada vary both geographically and temporally throughout the year. This variation depends significantly on local climate and topography: the prairie region has many shallow water depressions (prairie potholes) that are filled through snow redistribution, snow melt, infiltration, and precipitation, and can evaporate quickly and exhibit "spill and fill" movement [45]. Due to local topography, small amounts of contributed water influence the areal extent of water bodies significantly.…”

Section: Discussionmentioning

confidence: 99%

Operational Surface Water Detection and Monitoring Using Radarsat 2

et al. 2016

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Traditional on-site methods for mapping and monitoring surface water extent are prohibitively expensive at a national scale within Canada. Despite successful cost-sharing programs between the provinces and the federal government, an extensive number of water features within the country remain unmonitored. Particularly difficult to monitor are the potholes in the Canadian Prairie region, most of which are ephemeral in nature and represent a discontinuous flow that influences water pathways, runoff response, flooding and local weather. Radarsat-2 and the Radarsat Constellation Mission (RCM) offer unique capabilities to map the extent of water bodies at a national scale, including unmonitored sites, and leverage the current infrastructure of the Meteorological Service of Canada to monitor water information in remote regions. An analysis of the technical requirements of the Radarsat-2 beam mode, polarization and resolution is presented. A threshold-based procedure to map locations of non-vegetated water bodies after the ice break-up is used and complemented with a texture-based indicator to capture the most homogeneous water areas and automatically delineate their extents. Some strategies to cope with the radiometric artifacts of noise inherent to Synthetic Aperture Radar (SAR) images are also discussed. Our results show that Radarsat-2 Fine mode can capture 88% of the total water area in a fully automated way. This will greatly improve current operational procedures for surface water monitoring information and impact a number of applications including weather forecasting, hydrological modeling, and drought/flood predictions.

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Section: Discussionmentioning

confidence: 99%

Operational Surface Water Detection and Monitoring Using Radarsat 2

et al. 2016

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“…Pomeroy et al (2010) and Pomeroy et al (2014) utilized the Prairie Hydrological Model (PHM), a modified version of the Cold Regions Hydrological Model (Pomeroy et al, 2007), to simulate the hydrologic influence of prairie pothole depressions within the Canadian plains. Pomeroy et al (2014) incorporated a conceptual, network-based model of synthetic wetlands parameterized via the separate physically-based Wetland Digital Elevation Model Ponding Model (Shook et al, 2013;Pomeroy et al, 2014). Pomeroy et al (2014) demonstrated that removal of all simulated depressions within the PHM resulted in a 55% increase in total flow volumes throughout their simulation period.…”

Section: Introductionmentioning

confidence: 99%

Geographically isolated wetlands and watershed hydrology: A modified model analysis

Evenson

Golden

Lane

et al. 2015

Journal of Hydrology

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Geographically isolated wetlands (GIWs) are defined as wetlands that are completely surrounded by uplands. While GIWs are therefore spatially isolated, field-based studies have observed a continuum of hydrologic connections between these systems and other surface waters. Yet few studies have quantified the watershed-scale aggregate effects of GIWs on downstream hydrology. Further, existing modeling approaches to evaluate GIW effects at a watershed scale have utilized conceptual or spatially disaggregated wetland representations. Working towards wetland model representations that use spatially explicit approaches may improve current scientific understanding concerning GIW effects on the downstream hydrograph. The objective of this study was to quantify the watershed-scale aggregate effects of GIWs on downstream hydrology while emphasizing a spatially explicit representation of GIWs and GIW connectivity relationships. We constructed a hydrologic model for a ~202 km 2 watershed in the Coastal Plain of North Carolina, USA, a watershed with a substantial population of GIWs, using the Soil and Water Assessment Tool (SWAT). We applied a novel representation of GIWs within the model, facilitated by an alternative hydrologic response unit (HRU) definition and modifications to the SWAT source code that extend the model's "pothole" representation. We then executed a series of scenarios to assess the downstream hydrologic effect of various distributions of GIWs within the watershed. Results suggest that: (1) GIWs have seasonally dependent effects on baseflow; (2) GIWs mitigate peak flows; and (3) The presence of GIWs on the landscape impacts the watershed water balance. This work demonstrates a means of GIW simulation with improved spatial detail while showing that GIWs, in-aggregate, have a substantial effect on downstream hydrology in the studied watershed.3

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“…Improved terrain representation has helped characterize hysteretic relationships between water storage and contributing area in large wetland complexes within parameterized runoff models (Shook et al, 2013), improved mapping in and along river channels to parameterize network-level structure and flood inundation models (French, 2003;Kinzel et al, 2007;Snyder, 2009;Bates, 2012), and expanded investigation of geomorphological change in floodplains (Thoma et al, 2005;Jones et al, 2007). Lidar provides vertical information that permits the direct retrieval of forest attributes such as tree height and canopy structure (Hyyppä et al, 2012;Vosselman and Maas, 2010) that can be used to model canopy volume (Palminteri et al, 2012), biomass (Zhao et al, 2009), and the transmittance of solar radiation (Essery et al, 2008;Musselman et al, 2013;von Bode et al, 2014).…”

Section: Model Parameterization and Verificationmentioning

confidence: 99%

Laser vision: lidar as a transformative tool to advance critical zone science

Harpold

Marshall

Lyon

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. Observation and quantification of the Earth's surface is undergoing a revolutionary change due to the increased spatial resolution and extent afforded by light detection and ranging (lidar) technology. As a consequence, lidar-derived information has led to fundamental discoveries within the individual disciplines of geomorphology, hydrology, and ecology. These disciplines form the cornerstones of critical zone (CZ) science, where researchers study how interactions among the geosphere, hydrosphere, and biosphere shape and maintain the "zone of life", which extends from the top of unweathered bedrock to the top of the vegetation canopy. Fundamental to CZ science is the development of transdisciplinary theories and tools that transcend disciplines and inform other's work, capture new levels of complexity, and create new intellectual outcomes and spaces. Researchers are just beginning to use lidar data sets to answer synergistic, transdisciplinary questions in CZ science, such as how CZ processes co-evolve over long timescales and interact over shorter timescales to create thresholds, shifts in states and fluxes of water, energy, and carbon. The objective of this review is to elucidate the transformative potential of lidar for CZ science to simultaneously allow for quantification of topographic, vegetative, and hydrological processes. A review of 147 peer-reviewed lidar studies highlights a lack of lidar applications for CZ studies as 38 % of the studies were focused in geomorphology, 18 % in hydrology, 32 % in ecology, and the remaining 12 % had an interdisciplinary focus. A handful of exemplar transdisciplinary studies demon- Published by Copernicus Publications on behalf of the European Geosciences Union. 2882 A. A. Harpold et al.: Laser vision: lidar as a transformative toolstrate lidar data sets that are well-integrated with other observations can lead to fundamental advances in CZ science, such as identification of feedbacks between hydrological and ecological processes over hillslope scales and the synergistic co-evolution of landscape-scale CZ structure due to interactions amongst carbon, energy, and water cycles. We propose that using lidar to its full potential will require numerous advances, including new and more powerful open-source processing tools, exploiting new lidar acquisition technologies, and improved integration with physically based models and complementary in situ and remote-sensing observations. We provide a 5-year vision that advocates for the expanded use of lidar data sets and highlights subsequent potential to advance the state of CZ science.

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Storage dynamics simulations in prairie wetland hydrology models: evaluation and parameterization

Cited by 107 publications

References 48 publications

Operational Surface Water Detection and Monitoring Using Radarsat 2

Operational Surface Water Detection and Monitoring Using Radarsat 2

Geographically isolated wetlands and watershed hydrology: A modified model analysis

Laser vision: lidar as a transformative tool to advance critical zone science

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