This is part of the labels / documentation for <a href='http://jcm.chooseclimate.org'>Java Climate Model</a><hr/>

#costs		¨oldJCM4 addJCM5		§This module may eventually help in comparison of regional climate impacts, and regional emissions abatement. It was developed to aid the Belgian project ClimnegII. Please note, that the current version is only experimental, as the cost functions (derived from the RICE model) are very crude, and the author of JCM does <b>not</b> trust these formulae! It is envisaged that better functions may be added later.

The curves illustrates the effect of varying JCM parameters on economic costs of emissions abatement and climate change impacts. 
Welfare changes taking into account the elasticity of marginal income (inequity aversion / risk aversion) and a social rate of time-preference can also be shown.

  ¤adju Try adjusting the stabilisation level (see @stabilisation). Naturally, lowering this level increases costs in the short term, but reduces the total in the longer term - an issue of intergenerational equity (see @equity).  The balance in costs between the regions (best viewed per capita or per GDP) also depends on the chosen @distribmenu .

  %% ¤adju Note: Abatement (and hence total) cost only makes sense, if you have chosen a mitigation scenario from @objective  <i>and</i> @distribmenu is *not* set to "unspecified" %%

¤cogs Note, the integrated discounted costs in 2000 can also be obtained (variable 'totcost'), for use in optimisation loop calculations (see @optimisation, @scripting).

See also old plot @costsplot

#costsplot		¨oldJCM4		§£^apptag This plot illustrates the effect of varying JCM parameters on economic costs of emissions abatement and climate change impacts. Note that the current cost functions (derived from the RICE model) are very crude, and the author of JCM does <b>not</b> trust these formulae! It is envisaged that new functions will be added later.

  %% ¤adju Important! Abatement (and total) cost only makes sense, if you have chosen both a mitigation scenario from @emitmenu  <i>and</i> a distribution option from @distribmenu. In the default setup the future distribution is unspecified (because this is a controversial issue) -in this case, future regional emissions are zero, so the costs would look very high! %%
  £§graphinfo
  ¤adju Try adjusting the stabilisation level (@stabconcall or @stabtempdoc). Naturally, lowering this level increases costs in the short term, but reduces the total in the longer term - an issue of intergenerational equity (see @equity).  The balance in costs between the regions (best viewed per capita or per GDP) also depends on the @distribmenu.

#abcost		¨oldJCM4		§a nonlinear function (different for each region) of baseline emissions (from @sres) minus mitigated emissions (which depend on the future @stabilisation and @distribution options)

#damcost		¨oldJCM4		§a nonlinear function (different for each region)  of temperature from @heatflux .

#totcost		¨oldJCM4		§The sum of : £§abcost plus £§damcost

#disccost		¨oldJCM4		§Integral of future total costs, discounted over time. Total costs = £§totcost