In constructing the model, creating variable names, and linking the model to the Monte Carlo program various naming conventions have been used. These appendices attempt to provide a concise, useful guide linking conceptual variable to model variable to Monte Carlo variables designations. Tables give the basic characteristics of the output distributions for each of the 95 output VALs. These appendices describe in technical detail the Monte Carlo techniques used in the uncertainty analysis. The choice of Latin Hypercube sampling and the methodology employed to attribute output variability to input uncertainty is documented. A complete listing of the software and data base used to generate the Monte Carlo analysis is included
This dataset is associated with the publication on ESSD, with the same title. It includes four sect...
The conditional probabilistic scenario analysis combines statistical methods of uncertainty analysis...
This dataset is associated with the publication on Earth System Science Data, with the same title. ...
Appendix A contains the Monte Carlo Data Set. The data sheets give the distribution for input variab...
The study objective was to develop a method for an uncertainty analysis of the greenhouse gas (GHG) ...
Uncertainty analysis of greenhouse gas (GHG) emissions is becoming increasingly necessary in order t...
This dataset is associated with the publication on Scientific Data, with the same title. It include...
This method is intended to assist in characterizing uncertainties in emissions data for the Mileubal...
The determination of climate policy is a decision under uncertainty. The uncertainty in future clima...
Thermal power plants are a large source of greenhouse gas emissions among energy industry facilities...
In recent years, a substantial amount of work has been done to evaluate uncertainty associated with ...
This paper reviews and demonstrates methods available for estimating standard deviations for carbon ...
This article traces the development of uncertainty analysis through three generations punctuated by ...
This article traces the development of uncertainty analysis through three generations punctuated by ...
The overall objective of this research was to contribute data and methods to support the future deve...
This dataset is associated with the publication on ESSD, with the same title. It includes four sect...
The conditional probabilistic scenario analysis combines statistical methods of uncertainty analysis...
This dataset is associated with the publication on Earth System Science Data, with the same title. ...
Appendix A contains the Monte Carlo Data Set. The data sheets give the distribution for input variab...
The study objective was to develop a method for an uncertainty analysis of the greenhouse gas (GHG) ...
Uncertainty analysis of greenhouse gas (GHG) emissions is becoming increasingly necessary in order t...
This dataset is associated with the publication on Scientific Data, with the same title. It include...
This method is intended to assist in characterizing uncertainties in emissions data for the Mileubal...
The determination of climate policy is a decision under uncertainty. The uncertainty in future clima...
Thermal power plants are a large source of greenhouse gas emissions among energy industry facilities...
In recent years, a substantial amount of work has been done to evaluate uncertainty associated with ...
This paper reviews and demonstrates methods available for estimating standard deviations for carbon ...
This article traces the development of uncertainty analysis through three generations punctuated by ...
This article traces the development of uncertainty analysis through three generations punctuated by ...
The overall objective of this research was to contribute data and methods to support the future deve...
This dataset is associated with the publication on ESSD, with the same title. It includes four sect...
The conditional probabilistic scenario analysis combines statistical methods of uncertainty analysis...
This dataset is associated with the publication on Earth System Science Data, with the same title. ...