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A list of all pages that have property "CSDMS meeting abstract presentation" with value "No abstract was provided for this presentation". Since there have been only a few results, also nearby values are displayed.

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  • Presenters-0108  + (Model analysis frameworks specify ideas by … Model analysis frameworks specify ideas by which models and data are combined to simulate a system on interest. A given modeling framework will provide methods for model parameterization, data and model error characterization, sensitivity analysis (including identifying observations and parameters important to calibration and prediction), uncertainty quantification, and so on. Some model analysis frameworks suggest a narrow range of methods, while other frameworks try to place a broader range of methods in context. Testing is required to understand how well a model analysis framework is likely to work in practice. Commonly models are constructed to produce predictions, and here the accuracy and precision of predictions are considered.<br><br>The design of meaningful tests depends in part on the timing of system dynamics. In some circumstances the predicted quantity is readily measured and changes quickly, such as for weather (temperature, wind and precipitation), floods, and hurricanes. In such cases meaningful tests involve comparing predictions and measured values and tests can be conducted daily, hourly or even more frequently. The benchmarking tests in rainfall-runoff modeling, such as HEPEX, are in this category. The theoretical rating curves of Kean and Smith provide promise for high flow predictions. Though often challenged by measurement difficulties, short timeframe systems provide the simplest circumstance for conducting meaningful tests of model analysis frameworks.<br><br>If measurements are not readily available and(or) the system responds to changes over decades or centuries, as generally occurs for climate change, saltwater intrusion of groundwater systems, and dewatering of aquifers, prediction accuracy needs to be evaluated in other ways. For example, in recent work two methods were used to identify the likely accuracy of different methods used to construct models of groundwater systems (including parameterization methods): (1) results of complex and simple models were compared and (2) cross-validation experiments. These and other tests can require massive computational resources for any but the simplest of problems. In this talk we discuss the importance of model framework testing in these longer-term circumstances and provide examples of tests from several recent publications. We further suggest that for these long-term systems, the design and performance of such tests are essential for the responsible development of model frameworks, are critical for models of these environmental systems to provide enduring insights, and are one of the most important uses of high performance computing in natural resource evaluation.uses of high performance computing in natural resource evaluation.)
  • Presenters-0579  + (Modelling and simulation are critical appr … Modelling and simulation are critical approaches to addressing geographic and environmental issues. To date, enormous relevant geo-analysis models have been developed to simulate geographic phenomena and processes that can be used to solve environmental, atmospheric and ecological problems. These models developed by different groups or people are heterogeneous and difficult to share with others. As a result, numerous international groups or organizations have designed and developed standards to unify geo-analysis models, such as OpenMI, BMI and OpenGMS-IS. Models that follow a specific standard can be shared and reused in their own standard framework, however, they still can't be reused by other standards. Thus, model interoperation may help models be shared and reused by different standards.</br>This research aims at designing an interoperability solution that can help users reuse geo-analysis models based on other standards. In this research, we discussed several solutions for model interoperation and analyzed the features of different standards. Firstly, we developed three solutions for models interoperation between different standards and discussed their advantages and disadvantages. Then, we analyzed the key features of model interoperation, including model field mapping, function conversion, data exchange, and component reorganization. Finally, we have developed an interoperability engine for interoperation between models based on OpenMI, BMI, or OpenGMS-IS. We also provided case studies (using e.g. SWMM, FDS, and the Permamodel Frost Number component) to successfully demonstrate the model interoperation.ully demonstrate the model interoperation.)
  • Presenters-0580  + (Modelling network-scale sediment (dis)conn … Modelling network-scale sediment (dis)connectivity and its response to anthropic pressures provides a foundation understanding of river processes and sediment dynamics that can be used to forecast future trajectories of river form and process.</br>We present the basin-scale, dynamic sediment connectivity model D-CASCADE, which combines concepts of network modelling with empirical sediment transport formulas to quantify spatiotemporal sediment (dis)connectivity in river networks. The D-CASCADE framework describes sediment connectivity in terms of transfer rate through space and time while accounting for several hydro-morphological and anthropic factors affecting sediment transport. Add-ons can be integrated into D-CASCADE to model local changes in river geomorphology driven by sediment-induced variations in features.</br>Here, we show an application of D-CASCADE to the well-documented Bega River catchment, NSW, Australia, where major geomorphic changes have occurred in the network post-European settlement (ES) after the 1850s, including widespread channel erosion and sediment mobilization. By introducing historic drivers of change in the correct chronological sequence, the D-CASCADE model successfully reproduced the timing and magnitude of major phases of sediment transport and associated channel adjustments over the last two centuries. With this confidence, we then ran the model to test how well it performs at estimating future trajectories of basin-scale sediment transport and sediment budgets at the river reach scale.sediment budgets at the river reach scale.)
  • Presenters-0614  + (Modelling river physical processes is of c … Modelling river physical processes is of critical importance for flood protection, river management and restoration of riverine environments. Because of the continuous increment of computational power and the development of novel numerical algorithms, numerical models are nowadays widely and standardly used. The freeware BASEMENT is a flexible tool for one and two-dimensional river process simulations that bundles solvers for hydrodynamic, morphodynamic, scalar advection-diffusion and feedbacks with riparian vegetation. The adoption of a fully costless workflow and a light GUI facilitate its broad utilization in research, practice and education.</br>In this seminar I introduce the different tools within the BASEMENT suite, present some domains of application and ongoing developments.s of application and ongoing developments.)
  • Presenters-0026  + (Modern photogrammetry allows us to make ve … Modern photogrammetry allows us to make very accurate three-dimensional models using images from consumer-grade cameras. Multiview stereo photogrammetry, also known as structure from motion (SfM) is now easily accessible. Coupled with drones, this is transformative technology that lets us all make better maps than the National Geodetic Survey could not long ago. This hands-on course will demonstrate the basic tools and provide some tips that will allow you to map your favorite field area with 3 - 5 cm horizontal resolution and vertical RMS errors of less than 10 cm. Even better resolution can be obtained for smaller areas, such as outcrops, archaeological digs, or your daughter's art project.<br>We will use Agisoft Photoscan Pro software...please download the free demo (Pro) version before the class. It works equally well on Mac, Windows, and Linux. If you have a choice, chose a machine with an NVidia graphics card. We encourage you to collect a set of images to bring to the class. Guidelines on how best to take images intended for SfM will be send around before the meeting. for SfM will be send around before the meeting.)
  • Presenters-0570  + (Montane Cloud Forests (MCFs) are globally … Montane Cloud Forests (MCFs) are globally relevant ecological zones that spend the majority of their growing season in cloud and fog. Prior eco-physiological studies have demonstrated that MCFs are incredibly efficient at assimilating CO2 during photosynthesis. This increased efficiency is attributed to how plants in these ecosystems operate within their unique microclimates. Specifically, MCF trees maintain high photosynthesis rates under fog and low cloud conditions. While this has been observed and quantified in lab and field experiments, current sub-models of plant-atmosphere interactions within Earth systems models (ESMs) cannot recreate enhanced levels of gas exchange measured in ecophysiology studies. This lack of understanding leads to high uncertainty in ESM estimates of evapotranspiration and carbon assimilation rates for MCF ecosystems. It is critical to improve our estimates of MCF hydrologic and photosynthetic processes as these ecosystems are vulnerable to drought and microclimatic conditions are likely to be altered by climate change. This talk will explore the gaps in our process-based understanding of water, energy, and carbon budgets for MCFs, how these gaps lead to uncertainties in ESMs at different spatial and temporal scales, and how we can address these gaps in future work. we can address these gaps in future work.)
  • Presenters-0009  + (Natural disasters push the process of scie … Natural disasters push the process of scientific discovery to its limits: Their enormous scale makes them difficult to recreate in the lab, their destructive power and rare occurrence limit the possibility of acquiring field data, and their profoundly nonlinear behavior over a wide range of scales poses significant modeling challenges. In this talk, I explore how we can leverage insights from four different natural systems to contribute to our fundamental scientific understanding of the role that multiphase processes play in the onset and evolution of extreme events and to our ability to mitigate associated risks. our ability to mitigate associated risks.)
  • Presenters-0012  + (No abstract)
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  • Presenters-0086  + (No abstract has been submitted)
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  • Presenters-0254  + (No abstract was needed for this meeting)
  • Presenters-0193  + (No abstract was needed for this meeting)
  • Presenters-0148  + (No abstract was needed for this workshop)
  • Presenters-0149  + (No abstract was needed for this workshop)
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  • Presenters-0159  + (No abstract was needed for this workshop)
  • Presenters-0160  + (No abstract was needed for this workshop)
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