Published September 7, 2023
| Version V1
Dataset
Open
Global high-resolution growth projections dataset for rooftop area consistent with the shared socioeconomic pathways, 2020-2050.
Authors/Creators
- 1. Energy, Climate & Environment Program, International Institute of Applied Systems Analysis, Laxenburg, Austria
- 2. Grantham Institute–Climate Change and the Environment, Imperial College London, London, United Kingdom.
- 3. Environmental Research Institute, University College Cork, Cork, Ireland.
- 4. Global Centre for Environment and Energy, Ahmedabad University, Ahmedabad, India.
- 5. MaREI, the SFI Research Centre for Energy, Climate and Marine, University College Cork, Ireland
- 6. Center on Global Energy Policy, Columbia University, USA
Description
Description:
The dataset has three files:
-
1_Geospatial_Dataset_V1.gpkg (Global geospatial dataset for Gross Rooftop Area in km2 per Fishnet grid tiles , with attribute table documenting the results for 2020, 2030, 2040, 2050 years and for five Shared Socioeconomic Pathways narrative. CRS is epsg:4326, geometry type: polygon)
-
2_Countrylevel_gross_rooftop_area_V1.parquet (Country level attribution to the global geospatial dataset for Gross Rooftop Area in km2 per Fishnet grid tiles)
-
3_Analytics_Scripts_V1.ipynb (Python notebook for generating analytics for 2_Countrylevel_gross_rooftop_area_V1.parquet dataset. Pyarrow and Pandas models for Python are a prerequisite.
Version history:
This version corresponds to the first journal submission. The version will be updated upon the completion of the review of the main manuscript.
- This version V1 is superseded by V2 to correspond with round 1 of review.
- The database(s) in this version is associated with a Data Descriptor paper manuscript entitled " Global high-resolution growth projections for rooftop area consistent with the shared socioeconomic pathways, 2020-2050 ", submitted to Scientific Reports Journal (https://www.nature.com/srep/)
Files
3_Analytics_Scripts_V1.ipynb
Files
(286.3 MB)
| Name | Size | Download all |
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md5:f5a35d5d7140155384f652c5c0b4ef1d
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261.1 MB | Download |
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md5:92b893e0269cf9e2fa2922dcd74c62c4
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25.1 MB | Download |
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md5:a7172528f6ec8ec357f9ebab6aa7eb7d
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94.0 kB | Preview Download |
Additional details
Funding
- Science Foundation Ireland
- Multi-model innovations in Integrated Assessment Modelling of Global, Chinese, and Irish energy-economy-environment-climate systems investigating deep decarbonisation pathways from the Paris Agreement to the United Nations sustainable development goals 17/NSFC/5181
- European Commission
- CircEUlar - Developing circular pathways for a EU low-carbon transition 101056810
- European Commission
- DIAMOND - Delivering the next generation of open Integrated Assessment MOdels for Net-zero, sustainable Development 101081179
Software
- Programming language
- Python