Sessions

 

Stream: Knowledge, Data and Semantic Processing for Environmental Research

 

G1.1 Analysis of data of remote sensing data for environmental models - with special emphasis on "remote sensing"
Isabelle Herlin, Roberto San Jose, Steffen Unger, Dan Zachary

Data of different scales and sources play a big role for building and running mesoscale environmental models. They serve as input data to model runs, build the basis for the models themselves and for their validation. Thus methods for deriving the necessary parameters, input values and validation characteristics are of increasing interest to enhance the quality of simulation results.
This session addresses methods and tools from informatics to process and analyze these data with respect to their use in mesoscale environmental models. Particular topics are:

  • Remote sensing techniques
  • Uncertainty analysis of data
  • Aggregation of data of scales smaller than mesoscale to perform high quality and sustainable parametrization of processes modeled, in particular for surface characteristics
  • Analysis of data from a global scale as drivers and boundary conditions for mesoscale models
  • Statistical methods for data analysis
  • GIS based methods
  • Emission models
  • Coupling of models of different scales to mesoscale models to enhance performance of models
  • Tools and methods to automate resulting workflows of data gathering, analysis, model run, analysis of results, model based management and graphical representation.

Link to full papers

 

G1.2 Integration of heterogeneous data and environmental models - with special emphasis on "integration of data and models"
Steffen Unger, Isabelle Herlin, Roberto San Jose, Dan Zachary

Data of different scales and sources play a big role for building and running mesoscale environmental models. They serve as input data to model runs, build the basis for the models themselves and for their validation. Thus methods for deriving the necessary parameters, input values and validation characteristics are of increasing interest to enhance the quality of simulation results.
This session addresses methods and tools from informatics to process and analyze these data with respect to their use in mesoscale environmental models. Particular topics are:

  • Remote sensing techniques
  • Uncertainty analysis of data
  • Aggregation of data of scales smaller than mesoscale to perform high quality and sustainable parametrization of processes modeled, in particular for surface characteristics
  • Analysis of data from a global scale as drivers and boundary conditions for mesoscale models
  • Statistical methods for data analysis
  • GIS based methods
  • Emission models
  • Coupling of models of different scales to mesoscale models to enhance performance of models
  • Tools and methods to automate resulting workflows of data gathering, analysis, model run, analysis of results, model based management and graphical representation.

Link to full papers

 

G3. Semantics and the environment
Andrea Rizzoli, Ioannis Athanasiadis, Sasa Nesic, Ferdinando Villa

The "Semantics and the environment"-session aims to collect contributions addressing the various challenges and expected developments posed by the application of semantic technologies to the environmental sector. Among such issues we list: the use of semantics to facilitate search and discovery of environmental resources; the linked open data approach to support interlinking of environmental data on the internet; the role of semantics in integrated modelling efforts. Because of the diversity of possible application areas, we expect sub-sessions to be spun off of this general theme.

Link to full papers