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.. _DeveloperWorkflow: | ||
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FLINT Performance | ||
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FLINT uses scientific modulesmodels to estimate fluxes of GHGs between pools. | ||
There are several models available for each type of GHG flux e.g. Tier 1 | ||
formulas or emission factors and more sophisticated Tier 3 models for forest | ||
growth or soil carbon dynamics. The user can start with a simple model | ||
for all land uses and can then switch to more accurate models for the most | ||
important land cover types when better data becomes available. More importantly, | ||
these models allow FLINT to make projections of GHG fluxes. The model only needs | ||
to receive the activity data to run its calculations formulae whether those | ||
describe that is in the past or in the future. | ||
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FLINT is using the same models for making projections as for monitoring | ||
implementation progress. This ensures that the approach used for planning | ||
is the same as the one used for reporting, so the results are consistent and | ||
time series are seamless at the transition from reporting to projections. | ||
In many other cases the tool used for planning is different from the tool used | ||
for reporting and it is hard to identify whether the discrepancy between the | ||
two is due to implementation or to measurement errors. | ||
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FLINT can apply accurate models for project areas that have extensive data, while | ||
it can apply less demanding models for the rest of the countries. This ensures | ||
that achievements reached by projects are not lost when they are included into national | ||
accounts. Most countries are currently using systems that are not spatially explicit | ||
like FLINT. In these systems, land cover types are aggregated and the specific achievements | ||
of a project area are reduced to the average emission applied to that land cover type or | ||
they cannot be identified at all within the national accounts. |