Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The dataset contains the following information from 12 Middle Eastern countries from 1990 to 2020 (namely Bahrain, Iran, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Syria, the United Arab Emirates, and Yemen): • The population (according to the United Nations population statistics) • The GDPs of countries (constant 2010 US dollar) in the studied period (collected from World Bank datasets) • Energy consumption in the Middle East by fuel (collected from the International Energy Agency (IEA) Energy Outlook and British Petroleum (BP) statistical review) • The rate of carbon dioxide emissions in the Middle East by fuel (collected from the International Energy Agency (IEA) Energy Outlook and British Petroleum (BP) statistical review)
Global primary energy consumption has increased dramatically in recent years and is projected to continue to increase until 2045. Only hydropower and renewable energy consumption are expected to increase between 2045 and 2050 and reach 30 percent of the global energy consumption. Energy consumption by country The distribution of energy consumption globally is disproportionately high among some countries. China, the United States, and India were by far the largest consumers of primary energy globally. On a per capita basis, it was Qatar, Singapore, the United Arab Emirates, and Iceland to have the highest per capita energy consumption. Renewable energy consumption Over the last two decades, renewable energy consumption has increased to reach over 90 exajoules in 2023. Among all countries globally, China had the largest installed renewable energy capacity as of that year, followed by the United States.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Recommended citation
Gütschow, J.; Günther, A.; Jeffery, L.; Gieseke, R. (2021): The PRIMAP-hist national historical emissions time series v2.2 (1850-2018). zenodo. doi:10.5281/zenodo.4479172.
Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016
Content
Use of the dataset and full description
Before using the dataset, please read this document and the article describing the methodology, especially the section on uncertainties and the section on limitations of the method and use of the dataset.
Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016
Please notify us (johannes.guetschow@pik-potsdam.de) if you use the dataset so that we can keep track of how it is used and take that into consideration when updating and improving the dataset.
When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above). Please consider also citing the relevant original sources when using the PRIMAP-hist dataset. See the full citations in the References section further below.
Support
If you encounter possible errors or other things that should be noted, please check our issue tracker at github.com/JGuetschow/PRIMAP-hist and report your findings there.
If you need support in using the dataset or have any other questions regarding the dataset, please contact johannes.guetschow@pik-potsdam.de.
Abstract
The PRIMAP-hist dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas, covering the years 1850 to 2018, and all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 2006 categories. For CO2, CH4, and N2O subsector data for Energy, Industrial Processes and Product Use (IPPU), and Agriculture is available. Due to data availability and methodological issues, version 2.2 of the PRIMAP-hist dataset does not include emissions from Land Use, Land-Use Change, and Forestry (LULUCF).
The PRIMAP-hist v2.2 dataset is an updated version of
Gütschow, J.; Jeffery, L.; Gieseke, R.; Günther, A. (2019): The PRIMAP-hist national historical emissions time series v2.1 (1850-2017). GFZ Data Services. doi:10.5880/pik.2019.018.
The Changelog indicates the most important changes. You can also check the issue tracker on github.com/JGuetschow/PRIMAP-hist for additional information on issues found after the release of the dataset.
Sources
Files included in the dataset
Notes
Data format description (columns)
“scenario”
“country”
ISO 3166 three-letter country codes or custom codes for groups:
Code Region description
---- -------
EARTH Aggregated emissions for all countries.
ANNEXI Annex I Parties to the Convention
NONANNEXI Non-Annex I Parties to the Convention
AOSIS Alliance of Small Island States
BASIC BASIC countries (Brazil, South Africa, India and China)
EU28 European Union
LDC Least Developed Countries
UMBRELLA Umbrella Group
Table: Additional “country” codes.
“category”
IPCC (Intergovernmental Panel on Climate Change) 2006 categories for emissions. Some aggregate sectors have been added to the hierarchy. These begin with the prefix IPCM instead of IPC.
-----------------------------------------------------------------------
Category code Description
IPCM0EL National Total excluding LULUCF
IPC1 Energy
IPC1A Fuel Combustion Activities
IPC1B Fugitive Emissions from Fuels
IPC1B1 Solid Fuels
IPC1B2 Oil and Natural Gas
IPC1B3 Other Emissions from Energy Production
IPC1C Carbon Dioxide Transport and Storage
(currently no data available)
IPC2 Industrial Processes and Product Use (IPPU)
IPC2A Mineral Industry
IPC2B Chemical Industry
IPC2C Metal Industry
IPC2D Non-Energy Products from Fuels and Solvent Use
IPC2E Electronics Industry
(no data available as the category is only used for
fluorinated gases which are only resolved at the level
of category IPC2)
IPC2F Product uses as Substitutes for Ozone Depleting Substances
(no data available as the category is only used for
fluorinated gases which are only resolved at the level
of category IPC2)
IPC2G Other Product Manufacture and Use
IPC2H Other
IPCMAG Agriculture, sum of IPC3A and IPCMAGELV
IPC3A
Die vorliegende Statistik zeigt die Entwicklung der Erdölreserven von Katar in den Jahren von 1990 bis 2020 in Milliarden Tonnen. Zu den nachgewiesenen Erdölreserven zählen laut Quelle im Allgemeinen Mengen, die nach geologischen und ingenieurtechnischen Informationen aller Wahrscheinlichkeit nach aus den heute bekannten Vorkommen und unter den derzeitigen wirtschaftlichen und technischen Bedingungen künftig gefördert werden können. Im Jahr 2020 beliefen sich die Erdölreserven von Katar auf rund *** Milliarden Tonnen. Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The dataset contains the following information from 12 Middle Eastern countries from 1990 to 2020 (namely Bahrain, Iran, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Syria, the United Arab Emirates, and Yemen): • The population (according to the United Nations population statistics) • The GDPs of countries (constant 2010 US dollar) in the studied period (collected from World Bank datasets) • Energy consumption in the Middle East by fuel (collected from the International Energy Agency (IEA) Energy Outlook and British Petroleum (BP) statistical review) • The rate of carbon dioxide emissions in the Middle East by fuel (collected from the International Energy Agency (IEA) Energy Outlook and British Petroleum (BP) statistical review)