Discover our collection of climate policy tools and data platforms. Created and maintained by leading organizations in climate research and policy.
Showing 155 applications
Feasibility analysis of climate change mitigation indicators in Kenya, Ethiopia, Ukraine, and Sri Lanka.
Open database of policies and technologies towards achieving industrial circularity and decarbonisation.
Stocktake of COVID-19 recovery policies for selected EU Member States and other European countries.
Relationships between the themes, studies, models, and policy questions of the Horizon Europe project IAM COMPACT.
Curated results for national policymakers and energy industry stakeholders from the Horizon Europe project IAM COMPACT.
Database of technologies for sustainable transformation of steel and chemical industries in China and Europe.
This tool shows how a selection of 64 countries across all regions and the development spectrum can align their decarbonization trajectories with the Paris Agreement.
The UNEP Adaptation Gap Report looks at progress in planning for, financing and implementing adaptation.
An open-source, peer reviewed data to map water risks such as floods, droughts and stress. Beyond the tools, the Aqueduct team works one-on-one with companies, Government Ministriess and research partners through the Aqueduct Alliance to help advance best practices in water resource management and enable sustainable growth in a water-constrained world.
The “AR5 Scenario Database” documents the long-term scenarios assessed in the Fifth Assessment Report (AR5) of IPCC Working Group III. These scenario database supported the assessment in Chapter 6 on “Transformation Pathways” as well as a range of sectoral chapters in AR5. It comprises close to 1200 scenarios from more than 30 different integrated assessment and energy systems models and was released following the publication of the WGIII AR5 in 2014. In an attempt to be as inclusive as possible, an open call for scenarios was made through the IAMC with approval from the IPCC WGIII Technical Support Unit. Scenarios were submitted by entering the data into a standardized IAMC data template that was subsequently uploaded to the scenario database system. The submitted scenarios were then vetted by IPCC Lead Authors before entering the assessment.
As part of the IPCC’s Sixth Assessment Report (AR6), authors from Working Group III on Mitigation of Climate Change undertook a comprehensive exercise to collect and assess quantitative, model-based scenarios related to the mitigation of climate change. Building on previous assessments, such as those undertaken for the Fifth Assessment Report (AR5) and the Special Report on Global Warming of 1.5°C (SR15), the calls for scenarios in AR6 have been expanded to include energy, emissions, and sectoral scenarios from global to national scales, thus more broadly supporting the assessment across multiple chapters (see Annex III, Part 2 of the WG III Report and the About tab for more details). The compilation and assessment of the scenario ensemble was conducted by authors of the IPCC AR6 report, and the resource is hosted by the International Institute for Applied Systems Analysis (IIASA) as part of a cooperation agreement with Working Group III of the IPCC . The scenario ensemble contains 3,131 quantitative scenarios with data on socio-economic development, greenhouse gas emissions, and sectoral transformations across energy, land use, transportation and industry. These scenarios derive from 188 unique modelling frameworks and 95+ model families that are either globally comprehensive, national, multi-regional or sectoral. The criteria for submission included that the scenario is presented in a peer-reviewed journal accepted for publication no later than October 11th, 2021, or published in a report determined by the IPCC to be eligible grey literature by the same date. The IAMC Scientific Working Group on Data Protocols and Management and numerous authors of the AR6 WGIII Report who are members of the IAMC contributed to enable consistent reporting across research groups and the development of a common data template. IAMC was also involved in the Scenario Submission Portal for IPCC AR6 WGIII used to collect quantitative scenario data.
This atlas presents the barriers and the challenges of climate policies which have been identified in the CD-LINKS project. This tool aims at communicating, to both lay and non-technical audiences, the major implementation challenges, hot spots and criticalities for guiding climate and sustainable development-related policy making. This tools has been tested and discussed with multiple stakeholders during its development.
An energy charting tool that allows users to interrogate data, create charts and download reports from the Statistical Review of World Energy
C-ROADS helps people understand the long-term climate impacts of national and regional greenhouse gas emission reductions at the global level.
An international initiative that provides regularly updated, science-based estimates of daily CO2 emissions.
The CD-LINKS project was exploring the complex interplay between climate action and development, while simultaneously taking both global and national perspectives and thereby informing the design of complementary climate-development policies. The CD-LINKS consortium brought together national and global integrated assessment modeling groups from Europe, China, India, Brazil, Russia, Japan and the USA as well as domain experts in the areas of human development, climate adaptation, economics, energy geo-politics, atmospheric chemistry, human health, land use, agriculture, and water. CD-LINKS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 642147.
Collection of datasets going as far back as 2011 on climate-related risks and opportunities, emissions, mitigation, adaptation, energy, and water in cities, states, and regions worldwide.
The Community Emissions Data System (CEDS) uses existing emissions inventories, emissions factors, and activity/driver data to estimate annual country, sector, and fuel specific emissions over time. First a default emission estimate is developed using IEA energy statistics and emissions factors, mostly derived from GAINS (combustion), EDGAR (non-combustion) and CDIAC (for CO2 emissions). Default estimates are scaled to match existing national and regional emissions inventories where available, complete, and plausible including (but not limited to) national reporting to EMEP, MEIC, US EPA trends, and REAS. Scaled emissions estimates are extended back to 1750 by extending activity data and emission factors separately to produce a full trend from 1750 to the latest full years. Finally, gridded emissions with monthly seasonality and VOC speciation are produced from aggregate estimates at the country level using spatial proxy data (largely EDGAR gridded emissions) and distributed by 9 final gridded sectors. Detailed methodology, data, and assumptions are available in the main text and supplement of the accompanying journal article published in Geoscientific Model Development (Hoesly et al., 2018). The system is written using the open source R language and all input code and data are public except the IEA energy statistics used for the modern period. The CEDS project regularly releases updated aggregate emissions data (sector, country/sector, country/fuel and country/sector/fuel), gridded emissions at 0.5° for all years, and downscaled to 0.1° for recent decades (from 1980), along with the underlying code and data. The system was also extended to include N2O. For further details see the project GitHub site, https://github.com/JGCRI/CEDS , which includes links to the aggregate emission data and figures comparing the new data with past releases. To receive announcements of data updates and releases please sign up for the project listtserv. For comments, feedback, or contributions to improve these emission estimates, please contact ssmith@pnnl.gov or rachel.hoesly@pnnl.gov.
A collection of datasets and guidance being developed by CEOS space agencies and partners to support the Global Stocktake process of the Paris Climate Agreement. The data includes direct measurements of atmospheric GHG concentrations, and high spatial resolution observations of land cover type, above-ground biomass and disturbances.
There is an urgent need to align global carbon dioxide and other greenhouse gas emissions with climate-safe trajectories. A broad range of technologies and approaches are needed to achieve this cost-effectively and equitably. The circular carbon economy (CCE) concept provides a holistic, flexible, and pragmatic framework for countries to plan their respective contributions toward the commonly agreed climate goals. The CCE builds on the circular economy concept, with two important distinctions: it has an exclusive focus on energy and emissions, and it adds a fourth pillar, remove to the three pillars of the circular economy: reduce, reuse and recycle. The goal of the CCE is to reach net-zero emissions through preventing atmospheric carbon dioxide and other GHG emissions. The CCE approach also emphasizes the economic incentives and benefits associated with managing carbon and the need to focus on the most cost-effective mitigation solutions.
The Climate Action Tracker (CAT) tracks progress towards the globally agreed aim of holding warming well below 2°C and efforts to limit warming to 1.5°C.
Climate Central communicates climate change science, effects, and solutions to the public and decision-makers. Climate Central uses science, big data, and technology to generate local storylines and compelling visuals that make climate change personal and show what can be done about it.
Tracker for all the climate initiatives carried out at the global level by non-state actors, identified by Climate Chance.
The Climate Change Knowledge Portal (CCKP) provides global data on historical and future climate, vulnerabilities, and impacts, and the relationship between climate and development
The CCPI tracks 60 countries and the EU's climate action performance by modeling GHG emissions, energy use, and climate policy efforts.
The Calculator lets users specify their own interpretation of national responsibility and capability for climate action to determine each country’s implied fair share of the global mitigation effort.
Data dashboard that presents data on the pledges, deposits and the project approvals made by multilateral climate change funds designed to help developing countries address the challenges of climate change.
This tool projects the severity of climate change impacts over time in continents, countries and provinces at different levels of warming, starting with 1.5°C.
The Climate Impact Lab has a comprehensive body of research quantifying the impacts of climate change, sector-by-sector and community-by-community around the world.
This portal collects, tracks, and shares information on international cooperative climate initiatives driven by non-state actors such as businesses and cities, often with support from national states.
This database collects information on climate mitigation policies and creates a comprehensive policy package to mitigate the effects of climate change.
An AI-powered, full-text searchable engine through all national climate laws, policies, strategies action plans from every national Government Ministries, plus all NDCs, AdComms, NatComms, submissions to the Global Stocktake IPCC reports and more. Includes over 5000 documents and country profiles.
Tool that provides business with up-to-date information on climate laws and regulation, enabling users to search for climate regulations based on industry or geography.
The PROVIDE climate risk dashboard is an interactive online platform providing detailed information on different future global warming scenarios and their expected impacts on the climate, natural, and human systems. It will eventually provide information on a suite of future climate impacts such as: extreme events, biodiversity loss, cryosphere loss, sea-level rise, agriculture, economic loss etc., at the global, regional, and city level. The PROVIDE climate risk dashboard includes state-of-the-art assessments of overshoot scenarios – in which average global temperatures would temporarily ‘overshoot’ the 1.5°C target of the Paris Agreement – before being brought back down again. Overshoot scenarios are prominent in the latest IPCC reports, but specific risks inherent to them, including potentially irreversible impacts (such as species extinction), have so far been under-researched. The PROVIDE climate risk dashboard allows researchers, adaptation practitioners and other users to take a risk-based approach. Users will be able to set risk thresholds for societal and geophysical impacts for example, heatwaves or sea level rise that should be avoided, and then access information on the conditions and characteristics of emissions scenarios under which the selected threshold can be avoided, or not.
Climate TRACE is harnessing satellites and artificial intelligence to advance emissions monitoring through direct observation and open data. Climate TRACE’s emissions inventory is the world’s first comprehensive accounting of GHG emissions based primarily on direct, independent observation.
Climate Transparency is a global partnership with a shared mission to stimulate a “race to the top” in climate action in G20 countries through enhanced transparency. Climate Transparency brings together the most authoritative climate assessments and expertise of stakeholders from G20 countries. Jointly, these experts develop a credible, comprehensive and comparable picture on G20 climate performance: The Climate Transparency Report covers easy-to-use information on all major areas such as mitigation and climate finance and includes detailed fact sheets on all G20 countries. It is published on an annual basis on the eve of the G20 Summit.
Climate Watch is an online platform designed to share open climate data, visualizations and resources on national and global progress on climate change.Climate Watch brings together dozens of datasets to let users analyze and compare the Nationally Determined Contributions (NDCs) under the Paris Agreement, access historical emissions data, discover how countries can leverage their climate goals to achieve their sustainable development objectives and use models to map new pathways to a lower carbon, prosperous future. Climate Watch brings together dozens of datasets to let users analyze and compare the Nationally Determined Contributions (NDCs) under the Paris Agreement, access historical emissions data, discover how countries can leverage their climate goals to achieve their sustainable development objectives and use models to map new pathways to a lower carbon, prosperous future.
Climatescope is an online market assessment tool, report and index that evaluates the relative readiness of individual nations to put energy transition investment to work effectively. It provides snapshots of current clean energy policy and finance conditions that can lead to future capital deployment and project development.
The Climdex project offers a range of climate extremes indices. These indices are annual or monthly statistics of modelled or observed climate data. Users can download data and plot maps and time series of gridded and station data from a range of sources.
The COACCH Climate Change Impact Scenario Explorer is conceived as a user friendly, non technical, intuitive tool to navigate and getting aquainted with the COACCH research. The COACCH (CO-designing the Assessment of Climate CHange costs) research project is funded by the European Union’s Horizon 2020 Research and innovation Program and is conducted by a consortium of 14 European organizations . The objective of COACCH is to produce improved and more spatially detailed assessment of the risks and costs of climate change in Europe that can be of direct usability by research, business, investment, and policy making. To this end, COACCH developed an innovative science-practice integrated approach to knowledge co-design and co-delivery of outcomes with its stakeholder community. The COACCH Climate Change Impact Scenario Explorer presents just a partial, condensed and selected, albeit representative, overview of project findings. For a full overview of COACCH results visit the project website .
CoCO2 project web-based interface aims to a collection of published studies on satellite identification of hot-spot emissions. The tool provides an online repository of studies in the peer-reviewed literature about the use of satellite data to detect and estimate hot-spot emission of carbon dioxide (CO2) and methane (CH4). Its purpose is to inform users with different backgrounds about current state-of-the-art information on research being already done in the field of the detection and quantification of hot-spots emissions by satellites, in preparation for the next Copernicus CO2M satellite constellation. The map allows for filtering by year, gas, activity, geographical zone, and country. A second map iteration will integrate automatic updates via a database process. The data has been gathered and provided by project partner Roxana Petrescu from the Vrije Universiteit Amsterdam (VUA) and the map was designed by project partner Laurent Chmiel from the Integrated Carbon Observation System (ICOS). Map user content has been published under Licence ouverte/Open Licence. More information Try the new tool here .
The National Determined Contributions (NDCs) provide important indications regarding the future GHG emissions and related policies, in relation to the international energy market, technological, economic, trade and financial context. This key information on the development trajectories of major economies is essential for EU policy development as it will determine the global context in which EU policies will evolve. Nevertheless, the NDCs adopt a medium-term horizon and do not provide all the required information to fully characterize the detailed energy system pathways that meet the Paris Agreement (PA) goals. NDCs therefore fall short of characterizing the global trajectories at a sufficiently granular and long-term perspective for informing EU policies. To close this knowledge gap, COP21:RIPPLES aimed at analysing the underlying transformations required in the different sectors of the economy to meet the PA mitigation targets. To this purpose, COP21:RIPPLES used existing scenarios as well as a number of new national and global scenarios. This Scenario Explorer presents these this ensemble of pathways. The scenario data generated in the COP21:RIPPLES project are licenced under a Creative Commons License 4.0 (CC BY). The scenario data is available for download in this explorer and on Zenodo: .
The Country-level Social Cost of Carbon Database Explorer presents the work of Ricke et al. (2018). It contains uncertainty bounds under all scenarios, model specifications and discounting schemes. Country-level population and GDP projections are issued from the Shared Socioeconomic Pathways (SSP) database . Gridded climate projections are based on the Representative Concentration Pathways (RCP) and were generated by climate models participating to CMIP5 . By default, the SSP are projected along with the closest RCP in terms of radiative forcing.
The Climate Finance Landscape provides the most comprehensive overview of global climate-related primary investment across public and private sources.
An open data platform that provides estimates of previously unavailable data (sectoral activity data and emission factor sets relevant to a location) drawn from national and regional sources that helps cities to calculate emissions and shape their community priorities.
The CMCC Data Delivery System ( DDS ) provides a unique, consistent and seamless access point for all data produced and used by CMCC through a unified API interface. The user can browse the Catalog and the available datasets through the DDS Web Portal and access and download data through the DDS API Python client .
The INNOPATHS Decarbonisation Policy Evaluation Tool (DPET) is an online interface resulting from work carried out under the EU H2020 funded project INNOPATHS. Its main goal is to systematically synthesize in an easily searchable manner what is known – and what is not known – about the impact of different policies used to accelerate low-carbon energy transitions on a set of seven performance indicators. The DPET is intended to be a helpful reference for policy makers, academics and general users as it allows them to foresee possible trade-offs of decarbonisation policy – and thus to mitigate them – or co-benefits. We review the scientific evidence on decarbonisation policy, determine which studies meet rigorous standards, and summarize and synthesize the findings. We hope you will find this useful.
EarthTime, stitching together and animating high-definition satellite imagery, ties together diverse data layers in a map interface to show the patterns and connections behind some of the major social and political trends of the past two decades – and how they are inscribed into fast-changing landscapes.
EDGAR is a multipurpose, independent, global database of anthropogenic emissions of greenhouse gases and air pollution on Earth. EDGAR provides independent emission estimates compared to what reported by European Member States or by Parties under the United Nations Framework Convention on Climate Change (UNFCCC), using international statistics and a consistent IPCC methodology. EDGAR provides both emissions as national totals and grid maps at 0.1 x 0.1 degree resolution at global level, with yearly, monthly and up to hourly data.
An online platform that documents and catalogues social conflict around environmental issues, with a focus on cases where environmental concerns intersect with social and human rights issues
An open source that organizes and provides real-time world's electricity data to drive the transition towards a truly decarbonized electricity system and support efforts to monitor and reduce carbon footprint of electricity generation.
En-ROADS is an online simulator that provides policymakers, educators, businesses, the media, and the public with the ability to test and explore cross-sector climate solutions. Users can test the impact that dozens of policies—such as electrifying transport, pricing carbon, and improving agricultural practices—have on hundreds of factors like energy prices, temperature, air quality, and sea level rise.
An interactive, open source, online platform mapping the state of energy access in underserved areas across Africa and Asia. It enables energy planners, clean energy entrepreneurs, donors, and development institutions to identify high-priority areas for energy access interventions.
An open data platform providing access to datasets and data analytics that are relevant to the energy sector that can help achieving the United Nations’ Sustainable Development Goal 7 of ensuring access to affordable, reliable, sustainable and modern energy for all.
Low-carbon investments are necessary for driving the energy system transformation called for by both the Paris Agreement and Sustainable Development Goals, as investments are the ‘lifeblood’ of the global energy system. What are the scale and nature of these investments? This page summarises insights from a systematic evaluation of future energy-related investment needs in multiple climate change mitigation scenarios, from a continuation of today’s trends to those achieving the 2° C and 1.5° C targets. Uncertainty ranges represent differences among the six global integrated assessment models employed in the work. In the year 2015, total investments in the global energy system were approximately 1800 billion US$2015/yr (just over 2% of global gross domestic product (GDP) and about 10% of global gross capital formation in that year).
An online platform that provides information and analysis of energy-related policies and measures implemented by Government Ministriess around the world. The platform offers insights into how different countries are responding to energy challenges, including efforts to transition to cleaner and more sustainable energy sources.
The Joint Research Centre of the European Commission published an interactive tool of modeling results supporting the European Green Deal. The aim of this tool is to explain how energy is produced and used in the EU, today and in the future. The tool helps to understand the magnitude and speed of the projected changes, in other words, to understand the energy transition. The tool is an interactive application that works on all devices. By selecting different views and sectors, the user can visualise the most important energy options in the EU and in European countries. The data is updated on a regular basis to introduce new scenarios or regions.
Interactive data software, allowing to browse data through intuitive maps and graphs, for a visual analysis of the expected long-term trends in the energy industry. All figures can be viewed either globally or by world region, with the interface providing robust forecasts on energy supply and demand (total primary and final consumption, with details for electricity and natural gas) as well as information on fuel prices, renewable energies, CO2 emissions and energy and climate indicators. In addition, the tool offers a specific snapshot on selected countries.
Using 40 performance indicators across 11 issue categories, the EPI ranks 180 countries on climate change performance, environmental health, and ecosystem vitality.
A city-level CO2 emissions inventory for Europe: This project maps Scope 1 CO2 emissions across Europe. The aim is to estimate an emissions inventory for each of the ~116 000 administrative jurisdictions across Europe and the UK. The model spatially disaggregates each country's official (Eurostat) CO2 emissions inventory to places using OpenStreetMap. Vehicle emissions are attributed across fuel stations, train emissions at stations, aviation bunker fuel emissions at airports, and so on. Industrial source emissions are located at the registered address where these emissions physically occur or are legally controlled. Data are for the year 2018.
This Scenario Explorer holds emissions scenario data that was submitted to the European Scientific Advisory Board on Climate Change (ESABCC) in response to this Call for Contributions of emissions scenario data that can support its work in advising the EU on policy measures, climate targets and greenhouse gas budgets. In June 2023 the ESABCC published an official report, using data from this ensemble, “Scientific advice for the determination of an EU-wide 2040 climate target and a greenhouse gas budget for 2030–2050.”
This tool accompanies Fairness considerations in global mitigation investments’ by Shonali Pachauri, Setu Pelz, Christoph Bertram, Silvie Kreibiehl, Narasimha D. Rao, Youba Sokona and Keywan Riahi. Published in Science (2022), 10.1126/science.adf0067 . It enables users to systematically explore ‘fair’ regional contributions to near-term regional mitigation investment needs (2020-2030) derived from global cost-effective mitigation pathways assessed by Working Group III within the IPCC AR6 . Users can select from a range of indicators reflecting different considerations of equity and assign these weights. The tool then determines corresponding ‘fair-share’ regional contributions to the regional ‘cost-effective’ investment needs defined within Figure TS.25 in the Technical Summary of the WGIII contribtion to the IPCC AR6.
FAOSTAT provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available.
IIASA, the Mercator Research Institute on Global Commons and Climate Change, the University of Wisconsin-Madison, and Aarhus University launch new knowledge hub about Carbon Dioxide Removal options to address climate change. The path to climate neutrality needs to explicitly consider the role of Carbon Dioxide Removal (CDR) and negative emissions technologies. The new CDR Knowledge Hub synthesizes critical information about CDR and provides public access to key data sources. Among others, the Hub includes data on current and historical characteristics of technologies as well as quantitative scenario information on the role of different CDR technologies in the future. The Hub provides extensions of the AR6 scenario database with explicit quantifications of carbon removal due to land use change (e.g., afforestation/reforestation) as well as estimates of the current and future trajectories of the additional carbon removal (and emissions) aligned with national Greenhouse Gas inventories, filling a critical gap in the IPCC’s 6th assessment report. In addition, the Hub offers original stories and blogs highlighting insights from recent research activities by the GENIE project. The CDR Knowledge Hub was developed as part of the EU-funded GENIE project, which explores the environmental, technical, social, legal, ethical and policy dimensions of greenhouse gas removal and solar radiation management. GENIE aims to produce a comprehensive scientific assessment for evidence-based policymaking to address climate change, and to expand our toolkit for a zero-emissions future. The GENIE Project Team welcomes everyone to enjoy the services of the CDR Hub. It is fully open access, available for all to explore, and is going to be extended with new information on a regular basis. For more information on the GENIE Project, visit the dedicated website .
This GHG Monitoring from Space report maps the current and emerging capabilities of space-based monitoring of greenhouse gases (GHGs) worldwide, from 33 Open Satellite-Based Earth Monitoring Tools.
A platform to explore and visualize the most up-to-date data on carbon fluxes resulting from human activities and natural processes
The Global Climate Action portal is an online platform where actors from around the globe - countries, regions, cities, companies, investors and other organizations - can display their commitments to act on climate change.
The annually published Global Climate Risk Index analyses to what extent countries have been affected by the impacts of weather-related loss events (storms, floods, heat waves etc.).
This interface displays results from the GECO reports in maps, bar charts and line charts for select scenarios. It includes socio-economic assumptions, energy system and power system projections by sector and fuel, and greenhouse gas and air pollutant emissions projections. It is updated annually to reflect the latest GECO report. Numbers are derived from the POLES-JRC model and, where relevant, from the JRC-GEM-E3 model. More detailed energy-emissions balances and macro-economic Baseline tables can be found at the GECO website.
Global Energy Monitor (GEM) develops and shares information in support of the worldwide movement for clean energy. The GEM website contains regularly updated tools including the Global Coal Trackers; Global Oil and Gas Trackers; renewable power trackers; and similar.
The platform provides a unique “apples-to-apples” comparison of global energy projections by leading international organizations and corporations. It provides insight into the range of potential futures for energy at global, regional, and national levels, with projections varying due to distinct assumptions regarding energy technologies and public policies.
Interactive data tool for a visual presentation and analysis of the latest trends in the energy industry. It provides access to statistics on production, consumption and trade of oil, gas, coal, power and renewables, along with CO2 emissions from fuel combustion. The tool covers 60 countries and regions throughout the world and is updated every year.
Global Forest Watch (GFW) is an online platform that allows anyone to access near real-time information about where and how forests are changing around the world.
The Global Hotspots Explorer maps and presents information about impacts, vulnerabilities and risks arising from development, climate change in the water, energy and land sectors. State-of-the art models were used to assess the future trends of 14 indicators of development- and climate-induced challenges linked to three sectors–water, energy, and land. The tool is designed to explore what impact climate change has on all regions of the world. Interactively explore risk indicators to see what happens to under different scenarios of development and climate change. Users can also get an overview of the key risks in each country or river basin to see the population and land areas exposed. Data and figures are available for download. The Global Hotspots Explorer is a product from the project Integrated Solutions for Water, Energy and Land – a 4 year partnership between IIASA, the GEF and UNIDO – and will be used by UNIDO to screen for risks in their project planning processes.
The Global Infrastructure Emission Database (GID) is a unit-level dataset of CO2– and air pollution-emitting infrastructure worldwide The Global Infrastructure Emission Database (GID) is a unit-level dataset of CO2– and air pollution-emitting infrastructure worldwide
A geodatabase that contains 4.8 million records demonstrating the global footprint of oil and natural gas infrastructure.
A platform that provides global solar resource and photovoltaic power potential data. It has GIS layers and poster maps data that shows global, regional, and country resources
As part of the Paris Agreement , countries worldwide agreed to keep global warming to well below 2 °C above pre-industrial levels, and to pursue efforts to limit the increase to 1.5 °C. National scale implementation is reported in the Nationally Determined Contributions (NDC) and mid-century strategies, and the Paris Agreement envisions a process for keeping track of whether the national progress is consistent with the overall objective, i.e. the global stocktake (Article 14). The so-called Talanoa Dialogue facilitates the beginning of the process to engage in this stocktake. Here we present several indicators to measure progress towards achievement of the Paris goals. These indicators are based on scenarios from the CD-LINKS and COMMIT projects, and are outcomes from so-called Integrated assessment models . Scenario information is presented on a global and for seven large G20 economies . The various indicators relate to emissions, carbon budgets, decarbonisation rates, policy coverage and innovation (see also tabs above).
An open data platform that maps the location and temporal distribution of water surfaces at the global scale over the past 3.8 decades and provides statistics on the extent and change of those water surfaces. The dataset supports applications including water resource management, climate modelling, biodiversity conservation and food security.
The platform provides access to valuable wind resource data and information for locations around the world, helping support the development of wind energy projects and renewable energy planning.
Environmental Insights Explorer (EIE) is a freely available data and insights tool that uses exclusive data sources and modeling capabilities to help cities and regions measure emissions sources, run analyses, and identify strategies to reduce emissions — creating a foundation for effective action.
The data provided by the GCF platform helps visualize the financial response to climate change that has been invested on low-emission and climate-resilient development.
Green Economy Tracker tracks green economy policy ambition across 41 countries (and growing), over 21 policy themes. It covers climate policy, but also biodiversity and wider environmental themes, and economic and social policies linked to climate mitigation and adaptation - such as just transition. It is a civil society, 'citizen science' platform - where users can submit new data to update scores and assessments of national policy ambition.
Computer-based models are a fundamental tool used by Earth scientists to simulate and project alternate futures of the global environment. However, using traditional climate models generally requires mathematical expertise, a deep understanding of climate-related parameters, and advanced programming knowledge, all of which can take years to master and make interacting with climate models a challenge for any non-specialist. What if anyone with an internet connection could do simple climate modeling without needing to program anything? A team of scientists from the U.S. Department of Energy’s Pacific Northwest National Laboratory (PNNL) set about turning that idea into reality. The team started with hector , a well-established climate emulator that accurately reproduces the temperature projections of complex climate models while using a fraction of the computational demand. The PNNL team started with its fundamental capabilities and worked to incorporate them into an easy-to-use interface: hectorui . Using hectorui, researchers can explore how altering parameters, including several related to aerosols and ocean heat, affects future temperatures. Hectorui includes a tutorial that guides new users through setting up and running an experiment with its various functions. Non-experts can run basic experiments and learn how climate models operate, while researchers can directly download the quickly obtainable data from the interface to use in their own studies. More information HectorUI overview video
Human Climate Horizons (HCH) is a data and insights platform providing localized information on future impacts of climate change across several dimensions of human development and human security. It is fed by an evolving stream of multidisciplinary frontier research from the Climate Impact Lab and was built in partnership with the UN Development Programme’s Human Development Report Office. HCH provides empirically grounded data and information on the potential human costs of climate change for more than 24,000 regions spanning the globe. Two different emissions scenarios are presented for time horizons through the end of 21st century.
The primary goal of HDX is to facilitate data sharing, collaboration, and access to critical humanitarian data to improve the effectiveness of humanitarian response efforts worldwide.
The “IAMC 1.5°C Scenario Explorer ” presents an ensemble of quantitative, model-based climate change mitigation pathways underpinning the Special Report on Global Warming of 1.5°C (SR15) by the IPCC published in 2018. The ensemble was also used and extended in the IPCC’s Special Report on Climate Change and Land (SRCCL, 2019). The scenario ensemble contains more than 400 emissions pathways with underlying socio-economic development, energy system transformations and land use change until the end of the century, submitted by over a dozen research teams from around the world. It was compiled as part of efforts to support the SR15. The IAMC facilitated a coordinated and systematic community effort by inviting modeling teams to submit their available 1.5°C and related scenarios to a curated database. The compilation and assessment of the scenario ensemble was conducted by authors of the IPCC SR15
This package facilitates working with data templates that follow the format developed by the Integrated Assessment Modeling Consortium (IAMC) . It supports validation of scenario data and region processing, which consists of renaming and aggregation of model “native regions” to “common regions” used in a project. It requires Python version >= 3.8. This package is based on the work initially done in the Horizon 2020 openENTRANCE project, which aims to develop, use and disseminate an open, transparent and integrated modelling platform for assessing low-carbon transition pathways in Europe.
A collection of R tools provided by the Integrated Assessment Modeling Consortium (IAMC) for data analysis and diagnostics.
The Emissions Trading Scheme (ETS) map provides and visualizes up-to-date information on ETSs around the world – including systems that are in force, under development and under consideration. It is an interactive map that features downloadable factsheets and gives granular information on individual emissions trading scheme aspects.
This toolkit offers guidance on futures-thinking tied to more inclusive, equal, and reason-based participation processes. The potential of this approach hinges on the importance of considering various and ever-evolving preferred future alternatives emerging from politically connected, socially inclusive, and self-reflective practices. Imagining2050 proposes the ‘Deliberative Futures Workshop’ as an interactive and future-focused model for local community engagement. We propose a three-stage process to support communities in developing alternative ways to look and plan for the future. Stage1 involves recruiting an inclusive mix of participants and identifying core issues through preliminary engagements, surveys, and networking. Stage 2 focuses on delivering a series of visioning and scenario building workshops, that include accessible expert presentations in the first part of the process to feed into the critical analysis sessions in which participants reflect on what climate change means to them and for their communities using several visual based techniques. Stage 3 focuses on sharing the findings from the community workshops with the local community, policymakers, experts, and wider civil society.
The IMF has identified and developed a range of distinctive indicators that demonstrate the impact economic activity is having on climate change. These indicators have been grouped into five categories: Economic Activity, Cross-Border, Financial and Risks, Government Ministries Policy, and Climate Change Data. The objective of the Climate Change Indicators Dashboard is to provide a platform for disseminating climate change data for macroeconomic and financial stability analysis. Users of the Dashboard will be able to assess the linkage between economic and financial activities and Government Ministries policies on the one hand, and climate change (and environment more broadly) on the other—either on a country-level or cross country basis—by analyzing a standardized set of comparable data.
ICAT provides countries with support and practical tools and methodologies to build the transparency frameworks needed for effective climate action on national development priorities.
The IEA collects, assesses and disseminates energy statistics on supply and demand to provide the world’s most authoritative and comprehensive source of global energy data.
IRENA publishes detailed statistics on renewable energy capacity, power generation and renewable energy balances. This data is collected directly from members using the IRENA Renewable Energy Statistics questionnaire and is also supplemented by desk research where official statistics are not available. Renewable power-generation capacity statistics are released annually in March. Additionally, renewable power generation and renewable energy balances data sets are released in July.
Climate-assessment is a new Python package which can be used to go from emissions data to a temperature and other climate outcomes. It is intended to allow any modeller with an emissions scenario to run a simple climate model (FaIR, MAGICC, or CICERO-SCM) with IPCC AR6 methodology. The package is still under early development and thus functionality can change, but it’s now publicly available on GitHub, with a release on pypi coming soon.
The climate and society maproom is a collection of maps and other figures that monitor climate and societal conditions at present and in the recent past. The maps and figures can be manipulated and are linked to the original data. Even if you are primarily interested in data rather than figures, this is a good place to see which datasets are particularly useful for monitoring current conditions.
This Scenario Explorer hosts the results from the Integrated Solutions for Water Energy and Land project. Integrated Solutions for Water Energy and Land project (ISWEL) seeks to develop tools and capacities to support the sustainable management of water, energy and land, through the development of a truly nexus approach. The project includes two transboundary basins facing multiple development and environmental challenges: The Indus and the Zambezi basins. This scenario explorer hosts results from extended modelling and analytical work that was undertaken in both basins.
International Transport Energy Modeling , or iTEM , is an open group of people and organizations interested in the role of energy in the world’s transport system. Their shared goal is to better understand the methods and data that are employed to study this system—especially, model with international or global scope—and through dialogue to improve knowledge of the system, its ongoing evolution, and the policy and technology options for guiding its changes. This dataset and documentation contains detailed information of the iTEM Open Database, a harmonized transport data set of historical values, 1970 – 2018. It aims to create transparency through two key features: The iTEM Open Database is comprised of individual datasets collected from public sources. Each dataset is downloaded, cleaned, and harmonised to the common region and technology definitions defined by the iTEM consortium https://transportenergy.org. For each dataset, we describe the name of the dataset, the web link to the original source, the web link to the cleaning script (in python), variables, and explain the data cleaning steps (which explains the data cleaning script in plain English).
An international initiative that aims to improve the transparency of oil and gas data worldwide. The JODI database provides comprehensive and up-to-date information on oil and gas production, consumption, and inventory levels across participating countries.
The Data Portal is available to anyone seeking energy data for research. It contains over 1200 datasets from 175 sources, covering various aspects of energy supply and demand, as well as climate, economy, demography, trade, water, and policies. The portal also allows access to KAPSARC’s policy simulators and tools, such as the CCE Index, the H2 Cost Analysis Model, the Saudi Arabia Energy Balance, and more
This website allows you to browse through local sea-level projections for different global warming trajectories.
The LUISA Territorial Modelling Platform is primarily used for the ex-ante evaluation of EC policies that have a direct or indirect territorial impact. It is based on the concept of ‘land function’ for cross-sector integration and for the representation of complex system dynamics. Beyond a traditional land use model, LUISA adopts a new approach towards activity-based modelling based upon the endogenous dynamic allocation of population, services and activities. LUISA can be configured to project a baseline (or rerefence) scenario , assuming official socio-economic trends (from ECFIN and EUROSTAT), business as usual processes, and the effect of established European policies with direct and/or indirect territorial impacts. Variations to that reference scenario may be used to estimate impacts of specific policies, or of alternative macro-assumptions. This highly flexible and customisable structure of LUISA makes it a suitable tool for providing insights to policy-makers in Europe regarding landscape, urban areas, investment policies, environment and, more broadly, aspects pertaining to sustainability and territorial cohesion. LUISA is based upon the notion of land function – a new concept for cross-sector integration and for representing complex system dynamics. LUISA aims to contribute to the understanding, modelling and assessment of the impacts of land functions dynamics as they interact from local to global scales in the context of multiple and changing drivers. A land function can, for example, be societal (e.g. provision of housing, leisure and recreation), economic (e.g. provision of production factors – employment, investments, energy – or provision of manufacturing products and services – food, fuels, consumer goods, etc) or environmental (e.g. provision of ecosystem services). Land functions are temporally and spatially dynamic, and are constrained and driven by natural, socio-economic, and techno-economic processes. The ultimate product of LUISA is a set of spatially explicit indicators that can be combined according to the ‘function’ of interest and/or to the sector under assessment. LUISA is a de-facto integrative tool because of its coherent linkages with macroeconomic and biophysical models and with thematic databases. The ultimate product of LUISA is a set of territorial indicators that can be grouped and combined according to the ‘function’ of interest and/or to the sector under assessment. LUISA produces urban indicators at various levels of aggregation , as input to the Urban Data Platform.
The MIT Climate Portal is MIT’s central portal to all the work happening across the Institute on climate change, and a resource of the public that provides timely, science-based information about the causes and consequences of climate change — and what can be done to address it. Visit the Climate Portal for the latest climate news from MIT; Explainers on key topics written by scientists and experts; the Ask MIT Climate series, where MIT researchers take on public questions about climate change; and the TILclimate podcast .
The MIT Joint Program on the Science and Policy of Global Change launches its Tool for Air Pollution Scenarios (TAPS), which can be used to estimate the likely air-quality and health outcomes of a wide range of climate and air-quality policies at the regional, sectoral and fuel-based level. The related study study’s initial application of TAPS shows that with current air-quality policies and near-term Paris climate pledges alone, short-term pollution reductions give way to long-term increases–given the expected growth of emissions-intensive industrial and agricultural processes in developing regions. More ambitious climate and air-quality policies could be complementary, each reducing different pollutants substantially to give tremendous near- and long-term health benefits worldwide. TAPS projects air quality and health outcomes based on three integrated components: a recent global inventory of detailed emissions resulting from human activities (e.g. fossil fuel combustion, land-use change, industrial processes); multiple scenarios of emissions-generating human activities between now and the year 2100, produced by the MIT Economic Projection and Policy Analysis ( EPPA ) model; and emissions intensity (emissions per unit of activity) scenarios based on recent data from the Greenhouse Gas – Air Pollution Interactions and Synergies ( GAINS ) model. The tool can inform decision-makers about a wide range of climate and air-quality policies. Policy scenarios can be applied to specific regions, sectors or fuels to investigate policy combinations at a more granular level, or to target short-term actions with high-impact benefits. Photo by Photoholgic on Unsplash
The project provides solar and meteorological data sets from NASA research for support of renewable energy, building energy efficiency and agricultural needs.
Nature-based Solutions (NbS) are actions that enable the protection, sustainable management and restoration of natural and managed ecosystems, that can simultaneously provide human well-being and biodiversity benefits. Nature-based solutions (NbS) include land restoration actions such as agroforestry, grassland and grazing management, conservation agriculture, etc. that help to protect, restore and/or sustainably manage ecosystems. NbS are now receiving increased attention in the policy space owing to their potential to deliver a multitude of environmental and human well-being benefits and thereby help address many global sustainable development challenges simultaneously. NbS can help generate multiple benefits for society, such as food and water security , climate mitigation and adaptation , while addressing biodiversity loss . This is their unique selling point. NbS can therefore contribute towards the achievement of many of the UN Sustainable Development Goals (SDGs) simultaneously, including in particular, climate action (SDG 13), life on land (SDG 15), zero hunger (SDG2) and clean water and sanitation (SDG6), alongside many others.
ND-GAIN’s tool measures 181 countries on their climate risk and readiness to successfully adapt.
The NDC Ambition Explorer allows users to see the gap between big emitters' 2030 climate targets and where they need to be to stay below 1.5 degrees of temperature change.
The NDC Explorer is an online tool to analyze and compare countries' (Intended) Nationally Determined Contributions (INDCs/NDCs).
A definitive global resource for collating, assessing and presenting the scale and quality of net zero pledges across nationals, sub-nationals, companies and other entities.
The Network of Central Banks and Supervisors for Greening the Financial System (NGFS) partnered with an expert group of climate scientists and economists to design a set of hypothetical scenarios. They provide a common reference point for understanding how climate change (physical risk) and climate policy and technology trends (transition risk) could evolve in different futures. Each scenario was chosen to show a range of higher and lower risk outcomes. The NGFS Scenarios have been developed to provide a common starting point for analysing climate risks to the economy and financial system. While developed primarily for use by central banks and supervisors they may also be useful to the broader private sector, government and academia. The NGFS scenarios have recently been brought up to date, including by incorporating countries’ commitments to reach net-zero emissions, and have been enriched with an expanded set of macroeconomic variables, country-level granularity, and an online portal through which users can explore the physical risks from climate change. Visit the NGFS Climate Scenarios Portal Read the NGFS Climate Scenarios presentation with June 2021 updates
The Network for Greening the Financial System (NGFS) is a group of 65 central banks and supervisors and 83 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilizing mainstream finance to support the transition toward a sustainable economy. This Scenario Explorer is a web-based user interface for transition scenario results selected for the NGFS. This provides intuitive visualizations & display of timeseries data and download of the data in multiple formats. This Scenario Explorer hosts the NGFS scenarios, which were produced by NGFS Workstream 3.
The Climate.gov Maps & Data section contains more than 280 descriptions of datasets and services spanning a wide range of climate-related subjects. This collection was assembled in an effort to add value by simplifying and enhancing the discoverability, accessibility, and utility of commonly requested data. This section aims to serve researchers, scientists, resource managers, business personnel, and other citizens who want to find and use climate data.
A nonprofit organization that provides universal access to air quality data to empower a global community of changemakers to solve air inequality—the unequal access to clean air.
The OpenEI is an open platform providing the most current information needed to make informed decisions on energy, market investment, and technology development.
Open Source data explorer for tracking of emissions, targets from NSAs and parties with multiple data sources
This site lists various tools and datasets that allow you to see things like emissions data, impacts on coral/sea-level, equity assessments. ETC
The Paris Agreement aims to limit global mean temperature increase to well below 2 °C and pursue efforts to limit it to below 1.5 °C. To achieve this, 189 Parties have submitted Nationally Determined Contributions, so-called NDCs, outlining their post-2020 climate action. The PBL Climate Pledge NDC tool shows the targets in these NDCs/INDCs and the pledges made earlier for 2020. For 25 major emitting Parties, the tool compares these targets with greenhouse gas emission projections with and without current domestic climate policies up to 2030. More specifically, the PBL Climate Pledge NDC tool addresses the following three key questions: 1. What are the countries’ emissions projections for the NDCs for 2030? 2. Will the projected aggregated impact of the fully implemented NDCs on global emissions, for 2030, be sufficient to achieve the target of staying well below 2 °C / 1.5 °C? 3. Are countries on track to meet their 2020 pledges and NDCs for the period up to 2030? To address these questions, the tool shows the projected impact of the emission reduction proposals (2020 pledges or NDCs) and current policies, per country and globally, on greenhouse gas emission, up to 2030. This tool analyses the mitigation components of the NDCs of 161 of the 197 Parties
The Global Stocktake tool presents several indicators to track progress in implementing the Paris Climate Agreement. The indicators presented here are based on model-based scenarios that compare the action needed to meet the overall objectives, with the action promised by individual countries (reported via the Nationally Determined Contributions (NDC) and the actual implemented policies (based on a database of currently implemented policies). The stocktake tool intends to allow a wide range of interested parties to assess progress.
PEAK translates dense energy access reports and datasets into searchable and categorized insights that are easy to share, enabling countless benefits to the environment and climate, to increased development finance, and to social impacts.
POTEnCIA (Policy Oriented Tool for Energy and Climate Change Impact Assessment) is a modelling tool that allows for a robust assessment of the impact of different policy futures on the EU energy system developed by the JRC. It is designed to assess the impacts of alternative energy and climate policies on the energy sector, under different hypotheses about surrounding conditions within the energy markets. The model follows a hybrid partial equilibrium approach combining behavioural decisions with detailed techno-economic data, therefore allowing for an analysis of both technology-oriented policies and of those addressing behavioural change. Special mechanisms and features are implemented as to appropriately represent the transformation of today’s energy systems and capture the implications of the uptake of novel energy technologies and of changing market structures. The model covers each EU Member State separately, while offering, in addition, the option of addressing the EU energy system as a whole. The typical projection period that can be analysed by POTEnCIA is up to year 2050 in annual steps. The main use of the model is for comparative scenario analysis. The reference point to which policy scenarios can be compared is the Central scenario, which describes the likely evolution of the EU energy system until the year 2050 under certain assumptions.
PRIS is an online database that provides information on nuclear power plants around the world. It includes data on reactor types, operational status, capacity, and other relevant information about nuclear power facilities.
PREPdata is a map-based, open data online platform that allows users to access and visualize spatial data reflecting past and future climate, as well as the physical and socioeconomic landscape for climate adaptation and resilience planning. The platform is continuing to evolve through the input of PREP partners and PREPdata users. It is a flexible tool for climate adaptation planning, designed to address many of the gaps and challenges adaptation practitioners face.
The platform develops resources for quantifying the amount of potential carbon dioxide emissions under the world’s protected areas along with efforts to mine or drill for it. These include country statistics, per-park statistics, geospatial maps, fact sheets, case studies, and information on extraction operations in protected areas
The PROVIDE Climate Risk Dashboard is an interactive online tool providing detailed information on different future global warming scenarios and expected impacts on the climate, natural, and human systems. It allows users to explore future climate change impacts and (un)avoidable risks from cities to the global scale. The tool has been updated to see how different levels of climate action will also impact cities and marine environments. It is possible to start local and explore what action is needed on climate to avoid climate impacts in your city. The Tool now covers: The tool allows to either explore Future Climate Impacts and see how they will affect the environment and people under different emission scenarios, or how to avoid reaching undesirable climate impact levels in urban areas, suggesting desirable climate action pathways to adopt. More data on cryosphere loss, permafrost melt, agriculture, economic loss etc., is planned to be added later.
The open-source Python package pyam provides a suite of tools and functions for analyzing and visualizing input data (i.e., assumptions/parametrization) and results (model output) of integrated-assessment scenarios, energy systems analysis, and sectoral studies. The source code for pyam is available on Github . Watch the intro video Article: pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios
The “RCP Database” aims at documenting the emissions, concentrations, and land-cover change projections of the so-called “Representative Concentration Pathways” (RCPs). A handshake document between the Integrated Assessment and Climate Modeling community coordinated the data provided as input for the “Coupled Model Intercomparison Project” 5 (CMIP5). The final RCPs have been documented in a Special Issue that was published in 2011. Version 2.0 of the database includes harmonized and consolidated data for the RCPs. This comprises emissions pathways starting from identical base year (2000) for BC, OC, CH4, Sulfur, NOx, VOC, CO and NH3. In addition, harmonized well-mixed GHG emissions of the RCPs have been added for the period 2005 to 2100. Radiative forcing and concentrations of GHGs are given for the RCPs up to the year 2100, and are extended for climate modeling experiments to 2300 (ECPs). Wherever available, historical information is provided back to the year 1850.
A set of indicators to help compare national policy and regulatory frameworks for sustainable energy. RISE assesses countries’ policy and regulatory support for each of the four pillars of sustainable energy—access to electricity, access to clean cooking (for 55 access-deficit countries), energy efficiency, and renewable energy.
REN21 provides annual reports with facts, figures, peer-reviewed analysis of global developments in technologies, policies, and markets to decision makers. The goal is a transition to renewable energy.
This tool allows users to run simulations of the hourly power output from wind and solar power plants located anywhere in the world. The tool helps make scientific-quality weather and energy data available to a wider community.
The platform features hundreds of data sets all in one place on the state of the planet’s resources and citizens. Data can be used to visualize challenges faced by people and the planet, from climate change to poverty, water risk to state instability, air pollution to human migration, and more.
The OCI⁺ quantifies and compares greenhouse gas emissions intensities from global oil and gas assets. The interactive feature allows users to see where GHGs are emitted and investigate ways to reduce life-cycle emissions intensity from production, refining and petrochemical processing, and gathering, storage, and transport, and end uses.
The SBTi’s target dashboard shows companies and financial institutions that have set science-based targets, or have committed to developing targets. Updated every Thursday, the dashboard includes high-level information about each organization’s targets or commitments. A more detailed .xlsx data file is also available to download.
The Simulation and Emulation for Advanced Systems (SEAS) is the only software that simulates and validates energy transmission and distribution solutions across the buildings, transportation and renewables sectors, and the grid. SEAS lets you test what if scenarios to de-risk your options, helping you confidently move from planning to implementation.
Silicone is a Python package which can be used to infer emissions from other emissions data. It is intended to ‘infill’ integrated assessment model (IAM) data so that their scenarios quantify more climate-relevant emissions than are natively reported by the IAMs themselves. It does this by comparing the incomplete emissions set to complete data from other sources. It uses the relationships within the complete data to make informed infilling estimates of otherwise missing emissions timeseries. For example, it can add emissions of aerosol precurors based on carbon dioxide emissions and infill nitrous oxide emissions based on methane, or split HFC emissions pathways into emissions of different specific HFC gases.
Spine Toolbox is an open-source cross-platform application which provides means to define, manage, and execute energy system models. Spine Toolbox allows users to create a visual representation of tools, models and data combined together. In addition, the clear cut modularity of the tools and models within Spine Toolbox unleashes innovation potential.
The Shared Socioeconomic Pathways (SSPs) and the related integrated assessment scenarios are part of a framework that the climate change research community has adopted to facilitate the integrated analysis of future climate impacts, vulnerabilities, adaptation, and mitigation. The framework is built around a matrix that combines climate forcing on one axis (as represented by the Representative Concentration Pathways) and socio-economic conditions on the other. Together, these two axes describe situations in which mitigation, adaptation and residual climate damage can be evaluated. The final SSPs have been documented in two Special Issues, published in 2014 and 2017 , respectively. The “SSP Database” aims at the documentation of these scenario data. The SSP quantifications build upon the collaborative effort between the Impacts, Adaptation and Vulnerabilities (IAV) and IAM community, which have met in a series of meetings and identified a limited set of five SSP storylines/narratives. The narratives describe the main characteristics of the SSP future development pathways. They served as the starting point for the identification of internally consistent assumptions for the quantification of SSP elements. A range of different modeling tools were used to develop quantifications of these storylines, including factors like population, economic development, land use and energy use.
A comprehensive assessment of the global gap in climate action across the world’s highest-emitting systems, highlighting where recent progress made in reducing GHG emissions, scaling up carbon removal, and increasing climate finance must accelerate over the next decade to keep the Paris Agreement’s goal to limit warming to 1.5°C within reach.
Climate models are a main source of future climate information, but they are extremely expensive and slow to run. Studies concerned with the effects of climate change on human and natural systems often need climate information for emissions trajectories not run by climate models. Previously, emulators have attempted to create climate information for these trajectories. However, they usually fall short of the information demands of increasingly sophisticated impact models. STITCHES , a new emulator, works by stitching together building blocks of actual climate model experiment outcomes to create new trajectories. By construction, STITCHES’ output has the same complexity and richness of climate model output to meet the needs of impact modelers. Read the full info about the new STITCHES model here
The Subak Data Catalogue exists to make climate data more discoverable; more trusted; and more connected. 8,116 datasets. It allows to better track the state of the world, identify climate risks and opportunities, and to measure climate impact.
Systems Change Lab aims to spur action at the pace and scale needed to tackle some of the world’s greatest challenges: limiting global warming to 1.5 degrees C (2.7 degrees F), halting loss of biodiversity and building a just and equitable economy. Our initiative tracks global progress for more than 70 transformational shifts across nearly every system, enabling users to compare current action against targets we need to reach by the end of this critical decade and by 2050 to protect people and the planet.
The Earth System Model Evaluation Tool (ESMValTool) is a community-development that aims at improving diagnosing and understanding of the causes and effects of model biases and inter-model spread. The ESMValTool is open to both users and developers encouraging open exchange of diagnostic source code and evaluation results from the Coupled Model Intercomparison Project (CMIP) ensemble. This will facilitate and improve ESM evaluation beyond the state-of-the-art and aims at supporting the activities within CMIP and at individual modelling centers. We envisage running the ESMValTool routinely on the CMIP model output utilizing observations available through the Earth System Grid Federation (ESGF) in standard formats (obs4MIPs) or made available at ESGF nodes. The goal is to develop a benchmarking and evaluation tool that produces well-established analyses as soon as model output from CMIP simulations becomes available, e.g., at one of the central repositories of the ESGF. This is realized through standard recipes that reproduce a certain set of diagnostics and performance metrics that have demonstrated its importance in benchmarking Earth System Models (ESMs) in a paper or assessment report, such as Chapter 9 of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) (Flato et al., 2013). The expectation is that in this way a routine and systematic evaluation of model results can be made more efficient, thereby enabling scientists to focus on developing more innovative methods of analysis rather than constantly having to “reinvent the wheel”. In parallel to standardization of model output, the ESGF also hosts observations for Model Intercomparison Projects (obs4MIPs) and reanalyses data (ana4MIPs). obs4MIPs provides open access data sets of satellite data that are comparable in terms of variables, temporal and spatial frequency, and periods to CMIP model output (Taylor et al., 2012). The ESMValTool utilizes these observations and reanalyses from ana4MIPs plus additionally available observations in order to evaluate the models performance. In many diagnostics and metrics, more than one observational data set or meteorological reanalysis is used to assess uncertainties in observations. The main idea of the ESMValTool is to provide a broad suite of diagnostics which can be performed easily when new model simulations are run. The suite of diagnostics needs to be broad enough to reflect the diversity and complexity of Earth System Models, but must also be robust enough to be run routinely or semi-operationally. In order the address these challenging objectives the ESMValTool is conceived as a framework which allows community contributions to be bound into a coherent framework. Publication: Evaluation of native Earth system model output with ESMValTool v2.6.0 by Manuel Schlund, Birgit Hassler, Axel Lauer, Bouwe Andela, Patrick Jöckel, Rémi Kazeroni, Saskia Loosveldt Tomas, Brian Medeiros, Valeriu Predoi, Stéphane Sénési, Jérôme Servonnat, Tobias Stacke, Javier Vegas-Regidor, Klaus Zimmermann, and Veronika Eyring
The SENSES toolkit modules help you understand and communicate climate change scenarios. The modules utilize visualizations in an explanatory or exploratory way. The target audience are finance, policy and regional decision makers.
A report that aims to provide the international community with a global dashboard to register progress on energy access, energy efficiency, renewable energy and international cooperation to advance SDG 7. It assesses the progress made by each country on these four pillars and provides a snapshot of how far we are from achieving the 2030 Sustainable Development Goals (SDG) targets
The Triple-A Interactive Web-based Database is a visual representation of the most important aspects in energy efficiency financing, including the risks that could endanger the successful implementation of an energy efficiency project, the strategies that could mitigate these risks, the preferences of investors on energy efficiency investments, the financial performance of energy efficiency projects, the models and instruments that are usually used to finance energy efficiency projects and the performance of case study countries in terms of Sustainable Development Goals. The Triple-A methodology is focused on and reports information about the 8 case study countries, for which respective data have been collected, namely Bulgaria, Czech Republic, Germany, Greece, Italy, Lithuania, Spain and the Netherlands.
EIA collects and analyzes data covering energy production, stocks, demand, and prices and prepares reports on its interaction with the economy and the environment.
The 'Global Set of Climate Change Statistics and Indicators' was adopted at the fifty-third session of the United Nations Statistical Commission in March 2022 as the framework for climate change statistics and indicators to be used by countries when preparing their own sets of climate change statistics and indicators according to their individual concerns, priorities and resources.
The UNEP Emissions Gap Report (EGR) series tracks our progress in limiting global warming well below 2°C and pursuing 1.5°C in line with the Paris Agreement. Since 2010, it has provided an annual science-based assessment of the gap between estimated future global greenhouse gas (GHG) emissions if countries implement their climate mitigation pledges, and where they should be to avoid the worst impacts of climate change. Each year, the report also highlights key opportunities to bridge the emissions gap, tackling a specific issue of interest.
The UNEP Pledge Pipeline tracks GHG emissions reductions pledged by each countries' Nationally Determined Contributions (INDCs/NDCs) that are submitted to the UNFCCC.
The UN Climate Finance Data portal is a gateway to information on activities funded in developing countries to implement the United Nations Framework Convention on Climate Change (UNFCCC). The portal presents information on financial resources that have been made available to Non-Annex I Parties to the UNFCCC. The Portal consists of the following four modules: The "National Communications Module"; the "Fast-start Finance Module"; the "Funds Managed by the GEF Module"; and the "Adaptation Fund Module"
weAdapt is a platform designed as a community of research and practice on adaptation issues and policy-relevant tools and guidance for adaptation planning and decision-making.
The IEA and CMCC Weather for Energy Tracker is a new free platform showcasing weather-related data useful to understand, analyse and model the energy sector, from generation to use across sectors. Data is available both at the grid and country level, with a daily and monthly resolution from 2000 to the latest available month, and including monthly climatologies and anomalies.
The platform specializes in energy market data and analyzing and forecasting of energy and climate issues. Enerdata provides various energy-related publications and data services, along with annual energy report.