Welcome to NUSAP net
  

Robust knowledge for Sustainability

Tutorials
Post Normal Science
NUSAP
Participatory IA
Sensitivity Analysis
GLUE
Expert elicitation
Uncertainty Communication
Pluralistic uncert. management
Glossary


Sections
Reports, papers, ...
RIVM/MNP Uncertainty Guidance
Model quality checklist
Interactive tools
Pedigree matrices


Related websites
Post Normal Times
The Integrated Assessment Society
Precautionary Principle
Renewable Energy Master


Main Menu
Home
Reviews
Web Links
Downloads
Your Account
Top 10

Other Options
· Members List


  
Welcome to NUSAP net Glossary

[ A |  B |  C |  D |  E |  F |  G |  H |  I |  J |  K |  L |  M |  N |  O |  P |  Q |  R |  S ]
[ T |  U |  V |  W |  X |  Y |  Z |  1 |  2 |  3 |  4 |  5 |  6 |  7 |  8 |  9 |  0 ]


[ 1 ]
 
Terms Definitions
Hardware error Hardware errors in model outcomes arise from bugs in hardware. An obvious example is the bug in the early version of the Pentium processor for personal computers, which gave rise to numerical error in a broad range of floating-point calculations performed on that processor. The processor had already been widely used worldwide for quite some time, when the bug was discovered. It cannot be ruled out that hardware used for environmental models contains undiscovered bugs that might affect the outcomes, although it is unlikely that they will have a significant influence on the models' performance. To secure against hardware error, one can test critical model output for reproducibility on a computer with a different processor before the critical output enters the policy debate.
Hedging Hedging is a quantitative technique for the iterative handling of uncertainties in decision making. It is used, for instance, to deal with risks in finance and in corporate R&D decisions. For example, a given future scenario may be considered so probable that all decisions which are made assume that the forecast is correct. However, if these assumptions are wrong, there may be no flexibility to meet other outcomes. Thus, rather than solely developing a course of action for one particular future scenario, business strategic planners prefer to tailor a hedging strategy that will allow adaptation to a number of possible outcomes. Applied to climate change, it could for example be used by stakeholders from industry to reduce the risks of investing in energy technology, pending governmental measures on ecotax. Anticipating a range of measures from government to reduce greenhouse gases emissions, a branch of industry or a company could estimate the cost-effectiveness of investing or delaying investments in more advanced energy technology.
 
[ 1 ]

nusap.net