Carving and adaptive drainage enforcement of grid digital elevation models

Soille, Pierre; Vogt, Jürgen; Colombo, R.

doi:10.1029/2002wr001879

Cited by 135 publications

(117 citation statements)

References 55 publications

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“…The use of a Lagrangian framework removes possible grid orientation dependency (Le Brocq et al, 2006) associated with numerical diffusion. Surface topography is from Bamber et al (2009) with the following modifications: Gaussian smoothing with a spatial invariant radial filtering with a half maximum radius of 23.5 km, pit filling and plateau removal (Soille et al, 2003).…”

Section: Ice Fluxesmentioning

confidence: 99%

Refined broad-scale sub-glacial morphology of Aurora Subglacial Basin, East Antarctica derived by an ice-dynamics-based interpolation scheme

et al. 2011

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Abstract. Ice thickness data over much of East Antarctica are sparse and irregularly distributed. This poses difficulties for reconstructing the homogeneous coverage needed to properly assess underlying sub-glacial morphology and fundamental geometric constraints on sea level rise. Here we introduce a new physically-based ice thickness interpolation scheme and apply this to existing ice thickness data in the Aurora Subglacial Basin region. The skill and robustness of the new reconstruction is demonstrated by comparison with new data from the ICECAP project. The interpolated morphology shows an extensive marine-based ice sheet, with considerably more area below sea-level than shown by prior studies. It also shows deep features connecting the coastal grounding zone with the deepest regions in the interior. This has implications for ice sheet response to a warming ocean and underscores the importance of obtaining additional high resolution data in these marginal zones for modelling ice sheet evolution.

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Section: Ice Fluxesmentioning

confidence: 99%

Refined broad-scale sub-glacial morphology of Aurora Subglacial Basin, East Antarctica derived by an ice-dynamics-based interpolation scheme

et al. 2011

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“…This specific area of research has resulted in many different algorithms being developed over the past 2 decades (Hutchinson 1988(Hutchinson , 1989Hellweger 1996;Maidment 1996;Mizgallewicz and Maidment 1996;Saunders 1999;Renssen and Knoop 2000;Turcotte et al 2001;Doll and Lehner 2002;Soille et al 2003;Hutchinson et al 2009). The approach taken in this study is unique compared to past studies in that the drainage enforced surface reconditioning was only implemented in limited areas where there was a specific need.…”

Section: A42 Terrain Processingmentioning

confidence: 99%

Evaluating Cumulative Ecosystem Response to Restoration Projects in the Lower Columbia River and Estuary, 2009

Johnson¹,

Diefenderfer²,

Borde³

et al. 2010

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Final Annual Report, 2009 iii Executive SummaryThis is the sixth annual report of a 7-year project (2004 through 2010) to evaluate the cumulative effects of habitat restoration actions in the lower Columbia River and estuary (LCRE). The project, called the Cumulative Effects Study, is being conducted for the U.S. Army Corps of Engineers Portland District (USACE) by the Marine Sciences Laboratory of the Pacific Northwest National Laboratory (PNNL), the Pt. Adams Biological Field Station of the National Marine Fisheries Service (NMFS), the Columbia River Estuary Study Taskforce (CREST), and the University of Washington.The goal of the Cumulative Effects Study is to develop a methodology for evaluating the cumulative effects of multiple habitat restoration projects intended to benefit ecosystems supporting juvenile salmonids in the 235-km-long LCRE. Literature review in 2004 revealed no existing methods for such an evaluation and suggested that cumulative effects could be additive or synergistic. From 2005 through 2009, annual field research involved intensive, comparative studies paired by habitat type (tidal swamp versus marsh), trajectory (restoration versus reference site), and restoration action (tide-gate replacement vs. culvert replacement vs. dike breach).During 2009, the specific objectives for the Cumulative Effects Study were as follows:1. Support the cumulative effects assessment at pilot and estuary-wide scales through field work to document selected higher-order metrics, develop a time series, and expand the spatial and temporal diversity of sites for cumulative effects analysis, as follows:a. At Crims Island, Kandoll Farm, and Vera Slough restoration and reference sites, sample all core metrics.b. At selected historical breach and created sites, sample hydrology, morphology, vegetation, and fish abundance.c. Perform an intensive material-exchange study at the Kandoll Farm culvert over 48-hr periods during a spring-and a neap-tide series.2. Test estuary-wide the cumulative effects methodology developed in previous years, including geographic information system (GIS) assessments of wetted area, discrete hydrodynamic modeling, and meta-analyses of effectiveness data.The 2009 results may be summarized as follows:• Fish and Hydrography• -Large numbers of juvenile chum salmon were sampled in the tidal channels at the Kandoll Farm restoration site, implying the sampling covered the main outmigration. Juvenile Chinook salmon were present in the trap-net samples in low numbers, as in previous years. Coho salmon sampling included fry, subyearling, and yearling fishes. Marked fish from the Grays hatchery were captured at the Kandoll Farm.Vegetation-Elevation -Elevations are higher at the restoration site than at the reference sites at both Kandoll Farm and Vera Slough. At Crims Island, the elevations are the same between restoration and reference sites. As a corollary, accretions rates are higher at restoration sites than at reference sites. All tidal wetlands examined in this study exist within a 3-m vert...

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“…Sequential algorithms for deriving flow routing and accumulation from DEMs have been available for over 20 years [13], [11] and strategies to address sink and plateau problems have been widely reported during this interval [14], [15], [16], [17]. Alternate routing methods, based upon MFD, have been proposed such as DEMON [18] and D ∞ [19].…”

Section: Addressing the Flow Routing And Accumulation Problem Onmentioning

confidence: 99%

Massively parallel landscape-evolution modelling using general purpose graphical processing units

McGough

Liang

Rapoportas

et al. 2012

2012 19th International Conference on High Performance Computing

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Abstract-As our expectations of what computer systems can do and our ability to capture data improves, the desire to perform ever more computationally intensive tasks increases. Often these tasks, comprising vast numbers of repeated computations, are highly interdependent on each other -a closely coupled problem. The process of Landscape-Evolution Modelling is an example of such a problem. In order to produce realistic models it is necessary to process landscapes containing millions of data points over time periods extending up to millions of years. This leads to non-tractable execution times, often in the order of years. Researchers therefore seek multiple orders of magnitude reduction in the execution time of these models. The massively parallel programming environment offered through General Purpose Graphical Processing Units offers the potential for multiple orders of magnitude speedup in code execution times.In this paper we demonstrate how the time dominant parts of a Landscape-Evolution Model can be recoded for a massively parallel architecture providing two orders of magnitude reduction in execution time.

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Carving and adaptive drainage enforcement of grid digital elevation models

Cited by 135 publications

References 55 publications

Refined broad-scale sub-glacial morphology of Aurora Subglacial Basin, East Antarctica derived by an ice-dynamics-based interpolation scheme

Refined broad-scale sub-glacial morphology of Aurora Subglacial Basin, East Antarctica derived by an ice-dynamics-based interpolation scheme

Evaluating Cumulative Ecosystem Response to Restoration Projects in the Lower Columbia River and Estuary, 2009

Massively parallel landscape-evolution modelling using general purpose graphical processing units

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