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Technical resources for implementing the measurement, reporting and verification arrangements under the Convention and the enhanced transparency framework under the Paris Agreement.




It is good to use Monte Carlo for both of these scenarios since the conditions for applying it are so flexible. The times when it is better to use Monte Carlo than propagation of error does not depend on the number of variables. Applying Monte Carlo will lead to more accurate results when the variables have high uncertainty, non-normal equations, data are correlated, models are complex, and uncertainty varies between inventory years.
(Anna McMurray, Winrock International)


Is it still good to use Monte Carlo approach when we have only one emission factor value? (the activity data are varied). Or is it more applicable for analysis involving more than one value of both EF & AD?


Created at 29/05/2018 16:19 by Novita Syaputri
Last modified at 29/05/2018 16:19 by Novita Syaputri