The complexity of the modelling exercise increases quickly with the number of variables and quantity of data used; ICT-based geospatial and statistical modelling tools are irreplaceable for such computationally-intensive efforts. Forecasts for hydro-meteorological indicators are a good example of critical modelling applications in water management.
Simulations are of particular importance to water management; they allow practitioners to test, in a modelling environment, management scenarios with varying starting conditions in order to assess and characterize their likely outcome.
Air quality data analysis and modelling techniques - chlortibiketa.cf
Flood inundation modelling: A review of methods, recent advances and uncertainty analysis April Mobile device application for monitoring cyanobacteria harmful algal blooms using Sentinel-3 satellite Ocean and Land Colour Instruments - Open access November Tools and methods in participatory modeling: Selecting the right tool for the job November A python framework for multi-agent simulation of networked resource systems - Open access May Development of a km resolution global soil profile dataset for crop modeling applications - Open access September Review of literature on decision support systems for natural hazard risk reduction: Current status and future research directions - Open access October A review of artificial neural network models for ambient air pollution prediction September The Exploratory Modeling Workbench: An open source toolkit for exploratory modeling, scenario discovery, and multi-objective robust decision making - Open access October An integrated model to evaluate water-energy-food nexus at a household scale - Open access July Collaborative modelling or participatory modelling?
A framework for water resources management - Open access May An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features - Open access September Integrating free and open source tools and distributed modelling codes in GIS environment for data-based groundwater management - Open access September The summer school briefly covers model construction and sensitivity analysis and then focuses on concepts, implementation and application of Bayesian techniques for statistical inference, model prediction and uncertainty estimation.
This includes PhD students, post-doctoral researchers, and senior research scientists working in this field. The course consists of lectures covering the underlying theory, practice sessions based on didactical exercises, and discussion of problems of the participants. The participants are encouraged to bring their data sets and models to start working on their own problems during the course.
Emphasis is on sound statistical techniques with a focus on concepts and applications, not on mathematical derivations. Still, basic knowledge in statistics and R is required. We strongly recommend participants without a solid knowledge of probability calculus to attend the introductory lectures on Sunday.
Department Systems Analysis, Integrated Assessment and Modelling
Program The participants are expected to have a basic understanding of probability calculus and statistics and some knowledge of R. The core part of the course will take place from Monday to Friday and consists of lectures, practice sessions based on didactical exercises, discussion of problems of the participants, and outlooks to techniques not dealt with in detail during the course.
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On Sunday, there will be the opportunity to attend preparatory lectures and exercises on relevant basic subjects in probability calculus, statistics and a basic introduction to R. PhD students, post-doctoral researchers and senior research scientists interested in applying statistical techniques of model-based data analysis.
Eawag can be reached by a 10 minutes train ride and a 15 minutes walk from Zurich, Switzerland. See here for more details.
A comprehensive manuscript on Environmental Systems Analysis and selected more specific papers will be distributed to the participants. Reading list pdf. The course fee is CHF
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