Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2014Comparing ice and temperature simulations by four dynamic lake models in Harp Lake: past performance and future predictions50citations

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Chart of shared publication
Yao, Huaxia
1 / 1 shared
Bruce, Louise
1 / 1 shared
Rusak, Jim
1 / 1 shared
Pierson, Don
1 / 1 shared
James, A.
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Fang, Xing
1 / 3 shared
Chart of publication period
2014

Co-Authors (by relevance)

  • Yao, Huaxia
  • Bruce, Louise
  • Rusak, Jim
  • Pierson, Don
  • James, A.
  • Fang, Xing
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article

Comparing ice and temperature simulations by four dynamic lake models in Harp Lake: past performance and future predictions

  • Yao, Huaxia
  • Samal, Nihar
  • Bruce, Louise
  • Rusak, Jim
  • Pierson, Don
  • James, A.
  • Fang, Xing
Abstract

The physical dynamics of lake temperature and ice phenology are important in the modelling and management of temperate aquatic ecosystems. One-dimensional hydrothermal lake models have not been well evaluated in terms of how they simulate ice dynamics in particular. We chose four models (Hostetler, Minlake, Simple Ice Model or SIM, and General Lake Model or GLM) to test and compare their performance modelling of water temperature and ice dynamics using 16 years of field data from Harp Lake, an extensively studied inland lake in south-central Ontario. Each model produced satisfactory water temperature profiles over the simulated period, with small differences in the model performance. Model fits for ice phenology and ice thickness were, however, considerably lower than that for water temperature with Minlake generating the best agreement with observed ice-on and ice-off dates as well as ice thickness, followed by SIM. The responses of lake ice dynamics to future climate scenarios were simulated by running each of the four models for 91 years, from 2010-2100. The predicted decrease in ice season length was significantly different among models, varying between 30 to 81 days, with an average of 48 days. Corresponding decreases in ice thickness varied between 0.11 to 0.20 m, averaging 0.17 m.This study showed that uncertainty due to model performance and selection is considerable and further testing and refinement of hydrothermal lake dynamic models is needed to improve predictive abilities for ice dynamics.

Topics
  • impedance spectroscopy
  • simulation
  • one-dimensional
  • selective ion monitoring