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scenario_simulation [2022/01/04 10:48] – [Annex: Land supply and land transitions in the supply part of CAPRI] himicsscenario_simulation [2022/01/17 09:50] – [Annex: Land supply and land transitions in the supply part of CAPRI] matsz
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 **Introduction** **Introduction**
  
-This technical paper explains how the most aggregate level of the CAPRI area allocation in the context of the supply models has been re-specified in the TRUSTEE project((https:%%//%%www.trustee-project.eu/+This technical paper explains how the most aggregate level of the CAPRI area allocation in the context of the supply models has been re-specified in the TRUSTEE project((https://www.trustee-project.eu/
 )) and subsequently adopted in the CAPRI trunk. The former specification for land supply and transformation functions focused on agricultural land use and the transformation of agricultural land between arable land and grass land((See https://svn1.agp.uni-bonn.de/svn/capri/trunk/doc/landSupplyCAPRI_v5.pdf (Torbjörn Jansson, Wolfgang Britz, Alan Renwick and Peter Verburg (2010) Modelling CAP reform and land abandonment in the European Union with a focus on Germany.) )) and subsequently adopted in the CAPRI trunk. The former specification for land supply and transformation functions focused on agricultural land use and the transformation of agricultural land between arable land and grass land((See https://svn1.agp.uni-bonn.de/svn/capri/trunk/doc/landSupplyCAPRI_v5.pdf (Torbjörn Jansson, Wolfgang Britz, Alan Renwick and Peter Verburg (2010) Modelling CAP reform and land abandonment in the European Union with a focus on Germany.)
 )). )).
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 During the subsequent period, CAPRI was increasingly adapted to analyses of greenhouse gas (GHG) emission studies. Examples include CAPRI-ECC, GGELS, ECAMPA-X, AgCLim50-X, (European Commission, Joint Research Centre), ClipByFood (Swedish Energy Board), SUPREMA (H2020). This vein of research is very likely to gain in importance in the future. During the subsequent period, CAPRI was increasingly adapted to analyses of greenhouse gas (GHG) emission studies. Examples include CAPRI-ECC, GGELS, ECAMPA-X, AgCLim50-X, (European Commission, Joint Research Centre), ClipByFood (Swedish Energy Board), SUPREMA (H2020). This vein of research is very likely to gain in importance in the future.
  
-In order to improve land related climate gas modelling within CAPRI, it was deemed appropriate to (1) extend the land use modelled to //all// available land in the EU (i.e. not only agriculture), and (2) to explicitly model //transitions// between land use classes. The pioneering work was carried out within the TRUSTEE project((https:%%//%%www.trustee-project.eu/+In order to improve land related climate gas modelling within CAPRI, it was deemed appropriate to (1) extend the land use modelled to //all// available land in the EU (i.e. not only agriculture), and (2) to explicitly model //transitions// between land use classes. The pioneering work was carried out within the TRUSTEE project((https://www.trustee-project.eu/
 )), but as always, an operational version emerged only after integrating efforts by researchers in several projects working at various institutions. )), but as always, an operational version emerged only after integrating efforts by researchers in several projects working at various institutions.
  
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 **Technical implementation** **Technical implementation**
  
-The key equations corresponding to the approach explained above are collected in file supply_model.gms or the included files supply\declare_calibration_models_for_luc.gms and supply/declare_calibration_models_for_land_supply.gms. The declarations of parameters, variables, equations, models and even some sets only used in the calibration given in these files are included by the “supply_model.gms” only if “BASELINE==ON” or if it was a CAPREG base year task that was carried out. Loading of priors, initialisation of parameters and variables for the calibration as well as the organisation of solve attempts are handled in new sections of file “cal_land_nests.gms”, in turn called by the gams file “prep_cal.gms”. This implies that the land supply and land use change calibrations were inserted before the ordinary calibration of the supply models.+The key equations corresponding to the approach explained above are collected in file supply_model.gms or the included files supply/declare_calibration_models_for_luc.gms and supply/declare_calibration_models_for_land_supply.gms. The declarations of parameters, variables, equations, models and even some sets only used in the calibration given in these files are included by the “supply_model.gms” only if “BASELINE==ON” or if it was a CAPREG base year task that was carried out. Loading of priors, initialisation of parameters and variables for the calibration as well as the organisation of solve attempts are handled in new sections of file “cal_land_nests.gms”, in turn called by the gams file “prep_cal.gms”. This implies that the land supply and land use change calibrations were inserted before the ordinary calibration of the supply models.
  
 The new land supply specification is only activated if the global variable %trustee_land%==on which may be set via the CAPRI GUI. In order to store the results of the calibration in a compact way that is compatible with the existing code, the existing parameter files “pmppar_XX.gdx” was used. The parameters of the land supply functions, called “c” and “D” above, were stored on two parameters “p_pmpCnstLandTypes” and “p_pmpQuadLandTypes”. As a new symbol (p_pmpCnstLandTypes) is introduced in an existing file, the first run of CAPRI after setting %trustee_land%==on may give errors if the file exists already but has been used with the previous land supply specification before. In this case it helps to delete or rename the old pmppar files. The new land supply specification is only activated if the global variable %trustee_land%==on which may be set via the CAPRI GUI. In order to store the results of the calibration in a compact way that is compatible with the existing code, the existing parameter files “pmppar_XX.gdx” was used. The parameters of the land supply functions, called “c” and “D” above, were stored on two parameters “p_pmpCnstLandTypes” and “p_pmpQuadLandTypes”. As a new symbol (p_pmpCnstLandTypes) is introduced in an existing file, the first run of CAPRI after setting %trustee_land%==on may give errors if the file exists already but has been used with the previous land supply specification before. In this case it helps to delete or rename the old pmppar files.
scenario_simulation.txt · Last modified: 2023/09/08 12:07 by massfeller

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