Characterising performance of environmental models
Australian National University · National Centre for Groundwater Research and Training · +9 more institutions
Abstract
In order to use environmental models effectively for management and decision-making, it is vital to establish an appropriate level of confidence in their performance. This paper reviews techniques available across various fields for characterising the performance of environmental models with focus on numerical, graphical and qualitative methods. General classes of direct value comparison, coupling real and modelled values, preserving data patterns, indirect metrics based on parameter values, and data transformations are discussed. In practice environmental modelling requires the use and implementation of workflows that combine several methods, tailored to the model purpose and dependent upon the data and…
Citation impact
- FWCI
- 127.64
- Percentile
- 100%
- References
- 183
Authors
16- NBNeil Bennett
Australian National University, National Centre for Groundwater Research and Training
- BCBarry Croke
National Centre for Groundwater Research and Training, Australian National University
- GGGiorgio Guariso
Politecnico di Milano
- JHJoseph H. A. Guillaume
National Centre for Groundwater Research and Training, Australian National University
- SHSerena H. Hamilton
Australian National University, National Centre for Groundwater Research and Training
Topics & keywords
- Computer science
- Workflow
- Scope (computer science)
- Data mining
- Selection (genetic algorithm)
- Environmental data
- Divergence (linguistics)
- Machine learning