Published April 7, 2025
| Version v2
Dataset
Open
Input data for DSCALE
Authors/Creators
-
1.
International Institute for Applied Systems Analysis
Description
Overview
This repository contains input data for the DSCALE algorithm, as well as scripts to generate the input files.
The table below provides a description of files available under `input_data.zip`:
| File name | File location | Description | Notes / References |
| Fuel_dict.csv | input_data/ | ||
| GAINS_ISO3.csv | input_data/ | Regional mapping of the GAINS model | |
| Grassi_regional_mapping.csv | input_data/ | Regional mapping used in Grassi et al 2021 (Suppl. Table 8) | |
| Grassi_regions_dynamic.csv | input_data/ | Adjustment values, globally and by region for all SSP2 scenarios (in GtCO2/y), i.e. indirect human-induced sink in non-intact forests, estimated by IMAGE/LPJmL. | Dataframe created from Supplementary Table 8 of Grassi, G., Stehfest, E., Rogelj, J. et al. Critical adjustment of land mitigation pathways for assessing countries’ climate progress. Nat. Clim. Chang. 11, 425–434 (2021). https://doi.org/10.1038/s41558-021-01033-6 (last access: March 2025) |
| IEA_Fuel_dict.csv | input_data/ | Fuel mapping (map fuels used in the Platts database with fuels used in DSCALE) | |
| MESSAGE_CEDS_region_mapping_2020_02_04.csv | input_data/ | Regional country mapping of IPCC regions | |
| gwp.csv | input_data/ | Global Warming Potential | NOTE: AR6 from https://github.com/IAMconsortium/units/blob/main/iam_units/data/emissions/AR6GWP100.txt (last access: March 2025), Otherwise data taken from: https://ghgprotocol.org/sites/default/files/ghgp/Global-Warming-Potential-Values%20%28Feb%2016%202016%29_1.pdf (last access: March 2025) |
| indc_plus_emi_targets.csv | input_data/ | NDCs targets at the country level | |
| combined_lulucf_fluxes.csv | input_data/NGFS_2023 | Land use emissions (historical) | Model data from: https://zenodo.org/records/7541525/files/Global%20models%20land%20CO2%20data%202000-2020.xlsx?download=1 and Inventories from: https://zenodo.org/records/7650360/files/National%20inventories%20LULUCF%20data%202000-2020%20(Dec%202022).xlsx?download=1. (last access: March 2025) |
| config.yaml | input_data/NGFS_2023 | Configuration file | |
| default_mapping.csv | input_data/NGFS_2023 | Regional-country mapping file (list counries included in each IAM region) | |
| scenario_config.csv | input_data/NGFS_2023 | Scenario configuration file | |
| versions.csv | input_data/NGFS_2023 | Run version |
The table below shows a list of external input data used in the DSCALE algorithm (inluding proprietary data):
| File name | File location (DSCALE) | Description | DOI/Link |
| ALLUNITS_PLATTS_ISO.csv | input_data/ | World Electric Power Plants Database | Platts: World Electric Power Plants Data Base, https://www.spglobal.com/commodity-insights/en/products-solutions/clean-energy-technology, 2019. (last access: March 2025) |
| CostCurveHYD_lpjml_gfdl-esm2m_ewembi_rcp26_rcp26soc_co2_qtot_global_daily_2031_2070_merge_monmean_Hydro.csv | input_data/ | Supply-Cost curves | github.com/davidgernaat/Hydro_CostCurves Version v1.0.1 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059487 (last access: March 2025) |
| CostCurveHYD_lpjml_gfdl-esm2m_ewembi_rcp26_rcp26soc_co2_qtot_global_daily_2031_2070_merge_monmean_Hydro.dat | input_data/ | Supply-Cost curves | github.com/davidgernaat/Hydro_CostCurves Version v1.0.1 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059487 (last access: March 2025) |
| CostCurve_1stGen_Bio.dat | input_data/ | Supply-Cost curves | github.com/davidgernaat/Bio_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059455 (last access: March 2025) |
| CostCurve_2ndGen_Bio.dat | input_data/ | Supply-Cost curves | github.com/davidgernaat/Bio_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059455 (last access: March 2025) |
| CostCurve_PV.dat | input_data/ | Supply-Cost curves | github.com/davidgernaat/Solar_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059441 (last access: March 2025) |
| CostCurve_PVres.dat | input_data/ | Supply-Cost curves | github.com/davidgernaat/Solar_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059441 (last access: March 2025) |
| CostCurve_offshore_Wind.dat | input_data/ | Supply-Cost curves | github.com/davidgernaat/Wind_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059451 (last access: March 2025) |
| CostCurve_onshore_Wind.dat | input_data/ | Supply-Cost curves | github.com/davidgernaat/Wind_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059451 (last access: March 2025) |
| Emission_Clock_transport_act_data_aggregation_WEO2021_STEPS_V2.csv | input_data/ | Activity indicators | Based on IEA data, IEA (2021). World Energy Outlook 2021, All rights reserved (last access: March 2025) |
| Extended_IEA_en_bal_2019_ISO.csv | input_data/ | IEA Energy balances (historical data) | https://www.iea.org/data-and-statistics/data-product/world-energy-statistics-and-balances (last access: March 2025) |
| Guetschow_et_al_2024-PRIMAP-hist_v2.5.1_final_no_extrap_no_rounding_27-Feb-2024.csv | input_data/ | The PRIMAP-hist national historical emissions time series (1750-2022) | The PRIMAP-hist national historical emissions time series (1750-2022) v2.5.1 (2.5.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10705513 (last access: March 2025) |
| Historical_data.csv | input_data/ | IEA energy statistics indicators. Dataframe in long format . It should include an `ISO` (ISO 3166-1 alpha-3 code) column associated to each country (e.g. `ITA` to denote Italy) | https://www.iea.org/data-and-statistics/data-product/world-energy-statistics-and-balances (last access: March 2025) |
| IEA 2019 CO2 emissions from fuels_ISO.csv | input_data/ | IEA CO2 emissions from fuel combustion. Dataframe in wide format. It should contain an `ISO` (ISO 3166-1 alpha-3 code) column associated to each country. | https://www.iea.org/data-and-statistics/data-product/greenhouse-gas-emissions-from-energy#co2-emissions-from-fuel-combustion-detailed-estimates (last access: March 2025) |
| MaxProdHYD_lpjml_gfdl-esm2m_ewembi_rcp26_rcp26soc_co2_qtot_global_daily_2031_2070_merge_monmean_Hydro.dat | input_data/ | Supply-Cost curves | github.com/davidgernaat/Hydro_CostCurves Version v1.0.1 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059487 (last access: March 2025) |
| MaxProd_1stGen_Bio.dat | input_data/ | Supply-Cost curves (maximum production) | github.com/davidgernaat/Bio_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059455 (last access: March 2025) |
| MaxProd_2ndGen_Bio.dat | input_data/ | Supply-Cost curves (maximum production) |
github.com/davidgernaat/Bio_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059455 (last access: March 2025) |
| MaxProd_PV.dat | input_data/ | Supply-Cost curves (maximum production) | github.com/davidgernaat/Solar_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059441 (last access: March 2025) |
| MaxProd_PVres.dat | input_data/ | Supply-Cost curves (maximum production) | github.com/davidgernaat/Solar_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059441 (last access: March 2025) |
| MaxProd_offshore_Wind.dat | input_data/ | Supply-Cost curves (maximum production) | github.com/davidgernaat/Wind_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059451 (last access: March 2025) |
| MaxProd_onshore_Wind.dat | input_data/ | Supply-Cost curves (maximum production) | github.com/davidgernaat/Wind_CostCurves Version v1.0.0 (Zenodo, 2020); https://doi.org/10.5281/zenodo.4059451 (last access: March 2025) |
| SspDb_country_data_2013-06-12.csv | input_data/ | GDP/Population projections at the country level , based on SSPs | Dataset available at: https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=60, https://doi.org/10.1016/j.gloenvcha.2016.05.009 (last access: March 2025) |
| master_proj_obs.csv | input_data/ | Projected Governance indicators | Dataset available at: https://github.com/marina-andrijevic/governance2019/tree/master/data, https://doi.org/10.1038/s41893-019-0405-0 (last access: March 2025) |
| GAINS_nonCO2_Global_21Feb2022_byGas.csv | input_data/NGFS_2023 | GAINS results for a baseline scenario and maximum abatemement potential | https://doi.org/10.5281/zenodo.10653413 (last access: March 2025) |
| IEA_balances_Rev2022.csv | input_data/ | Energy Balances from IEA (2022 Version) | https://www.iea.org/data-and-statistics/data-product/world-energy-statistics-and-balances (last access: March 2025) |
| GDP_NGFS_merged.csv | input_data/NGFS_2023 | SSP projections | https://doi.org/10.5281/zenodo.10807824 (last access: March 2025) |
| snapshot_all_regions.csv | input_data/NGFS_2023/snapshot_v1 | IAMs results to be downscaled | https://doi.org/10.5281/zenodo.10807824 (last access: March 2025) |
This repository contains scripts to generate additional files. Please note that all of these scripts rely on other python files published in the DSCALE repository: https://doi.org/10.5281/zenodo.14795503
| File name | File location | Description | Script |
| IEA_hist_trade_variables_v2022.csv | input_data/ | IEA Historical Trade variable, 2021 version. | create_iea_data.py |
| Projected GW _ COAL _ Status=[OPR, PLN, CON] _50 years_all_countries.csv | input_data/ | Projected Installed capacity based on remaining technical lifetime (assuming 50 years of technical lifetime unless otherwise specified), based on `ALLUNITS_PLATTS_ISO.csv` | create_installed_gw_files.py |
| Projected GW _ GAS _ Status=[OPR, PLN, CON] _40 years_all_countries.csv | input_data/ | Projected Installed capacity based on remaining technical lifetime (assuming 40 years of technical lifetime unless otherwise specified), based on `ALLUNITS_PLATTS_ISO.csv` | create_installed_gw_files.py |
| Projected GW _ GEO _ Status=[OPR, PLN, CON] _30 years_all_countries.csv | input_data/ | Projected Installed capacity based on remaining technical lifetime (assuming 30 years of technical lifetime unless otherwise specified), based on `ALLUNITS_PLATTS_ISO.csv` | create_installed_gw_files.py |
| Projected GW _ OIL _ Status=[OPR, PLN, CON] _30 years_all_countries.csv | input_data/ | Projected Installed capacity based on remaining technical lifetime (assuming 30 years of technical lifetime unless otherwise specified), based on `ALLUNITS_PLATTS_ISO.csv` | create_installed_gw_files.py |
| input_reference_iea_2022.csv | input_data/ | IEA Historical data in IAMC format with MODEL='Reference' and SCENARIO='IEA Energy Statistics (r2022)' | create_iea_data.py |
If you have any questions please contact: sferra@iiasa.ac.at
References
- Andrijevic, M., Crespo Cuaresma, J., Muttarak, R. et al. Governance in socioeconomic pathways and its role for future adaptive capacity. Nat Sustain 3, 35–41 (2020). https://doi.org/10.1038/s41893-019-0405-0 (last access: March 2025)
Based on IEA data, IEA (2021). World Energy Outlook 2021, All rights reserved (last access: March 2025) - David Gernaat. (2020). davidgernaat/Bio_CostCurves: Bio_CostCurves (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.4059455 (last access: March 2025)
- David Gernaat. (2020). davidgernaat/Hydro_CostCurves: Hydro_CostCurves (v1.0.1). Zenodo. https://doi.org/10.5281/zenodo.4059487 (last access: March 2025)
- David Gernaat. (2020). davidgernaat/Solar_CostCurves: Solar_CostCurves (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.4059441 (last access: March 2025)
- David Gernaat. (2020). davidgernaat/Wind_CostCurves: Wind_CostCurves (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.4059451(last access: March 2025)
- Global Warming Potential Values https://ghgprotocol.org/ (last access: March 2025)
- Grassi, G., Schwingshackl, C., Gasser, T., Houghton, R. A., Sitch, S., Canadell, J. G., Cescatti, A., Ciais, P., Federici, S., Friedlingstein, P., Kurz, W. A., Sanz Sanchez, M. J., Abad Viñas, R., Alkama, R., Bultan, S., Ceccherini, G., Falk, S., Kato, E., Kennedy, D., … Pongratz, J. (2023). Harmonising the land-use flux estimates of global models and national inventories for 2000-2020: background data [Data set]. In Earth System Science Data. Zenodo. https://doi.org/10.5281/zenodo.7541525 (last access: March 2025)
- Grassi, G., Schwingshackl, C., Gasser, T., Houghton, R. A., Sitch, S., Canadell, J. G., Cescatti, A., Ciais, P., Federici, S., Friedlingstein, P., Kurz, W. A., Sanz Sanchez, M. J., Abad Viñas, R., Alkama, R., Bultan, S., Ceccherini, G., Falk, S., Kato, E., Kennedy, D., … Pongratz, J. (2023). Harmonising the land-use flux estimates of global models and national inventories for 2000-2020: background data [Data set]. In Earth System Science Data. Zenodo. https://doi.org/10.5281/zenodo.7650360 (last access: March 2025)
- Grassi, G., Stehfest, E., Rogelj, J. et al. Critical adjustment of land mitigation pathways for assessing countries’ climate progress. Nat. Clim. Chang. 11, 425–434 (2021). https://doi.org/10.1038/s41558-021-01033-6 (last access: March 2025)
- IEA CO2 emissions from fuel combustion, https://www.iea.org/data-and-statistics/data-product/greenhouse-gas-emissions-from-energy#co2-emissions-from-fuel-combustion-detailed-estimates (last access: March 2025)
- IEA World Energy Statistics and Balances https://www.iea.org/data-and-statistics/data-product/world-energy-statistics-and-balances (last access: March 2025)
- IPCC, 2021: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2391 pp. doi:10.1017/9781009157896 (last access: March 2025)
- Keywan Riahi, Detlef P. van Vuuren, Elmar Kriegler, Jae Edmonds, Brian C. O’Neill, Shinichiro Fujimori, Nico Bauer, Katherine Calvin, Rob Dellink, Oliver Fricko, Wolfgang Lutz, Alexander Popp, Jesus Crespo Cuaresma, Samir KC, Marian Leimbach, Leiwen Jiang, Tom Kram, Shilpa Rao, Johannes Emmerling, Kristie Ebi, Tomoko Hasegawa, Petr Havlik, Florian Humpenöder, Lara Aleluia Da Silva, Steve Smith, Elke Stehfest, Valentina Bosetti, Jiyong Eom, David Gernaat, Toshihiko Masui, Joeri Rogelj, Jessica Strefler, Laurent Drouet, Volker Krey, Gunnar Luderer, Mathijs Harmsen, Kiyoshi Takahashi, Lavinia Baumstark, Jonathan C. Doelman, Mikiko Kainuma, Zbigniew Klimont, Giacomo Marangoni, Hermann Lotze-Campen, Michael Obersteiner, Andrzej Tabeau, Massimo Tavoni, "The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview".Global Environmental Change, Volume 42, 2017, Pages 153-168, https://doi.org/10.1016/j.gloenvcha.2016.05.009.https://doi.org/10.1016/j.gloenvcha.2016.05.009 (last access: March 2025)
- Platts: World Electric Power Plants Data Base, https://www.spglobal.com/commodity-insights/en/products-solutions/clean-energy-technology, 2019. (last access: March 2025)
- Richters, O., Kriegler, E., Al Khourdajie, A., Bertram, C., Bresch, D. N., Ciullo, A., Cornforth, E., Cui, R., Edmonds, J., Fuchs, S., Hackstock, P., Holland, D., Hurst, I., Kikstra, J., Klein, D., Kotz, M., Kropf, C. M., Lewis, J., Liadze, I., … Zwerling, M. (2024). NGFS Climate Scenarios Data Set (4.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10807824Richters, O., Kriegler, E., Al Khourdajie, A., Bertram, C., Bresch, D. N., Ciullo, A., Cornforth, E., Cui, R., Edmonds, J., Fuchs, S., Hackstock, P., Holland, D., Hurst, I., Kikstra, J., Klein, D., Kotz, M., Kropf, C. M., Lewis, J., Liadze, I., … Zwerling, M. (2024). NGFS Climate Scenarios Data Set (4.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10807824 (last access: March 2025)
- Sferra, F., van Ruijven, B., Riahi, K., Hackstock, P., Maczek, F., Kikstra, J., & Haas, R. (2025). fabiosferra/DSCALE: v0.1 (v0.1). Zenodo. https://doi.org/10.5281/zenodo.14795503 (last access: March 2025)
- The PRIMAP-hist national historical emissions time series (1750-2022) v2.5.1 (2.5.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10705513 (last access: March 2025)
- Vashold, L., Sferra, F., Höglund-Isaksson, L., van Ruijven, B., Warnecke, L., Crespo Cuaresma, J., Min, J., & Fengler, W. (2024). Dataset: World Emissions Clock (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10653414(last access: March 2025)
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