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Greenhouse Gas Emissions Tools and Datasets
Get an overview of greenhouse gas (GHG) emissions-monitoring tools and datasets for cities, and find a GHG emissions data tool for your city.
Cities have a critical role to play in cutting greenhouse gas (GHG) emissions to limit global warming to 1.5°C above pre-industrial levels and to avoid catastrophic climate change.
Before a city can take action, it needs to understand the emissions generated by different activities within its geographic area (also known as ‘community-wide’ or ’city-wide’ emissions). To do this, cities must develop a robust GHG inventory (GHGI) that will help them establish a baseline, set reduction targets and prioritise climate actions; and then track progress. Building a GHGI using real-world local data remains best practice, but for cities that are struggling to collect their own data, there are emissions tools and datasets available.
This report gives cities an overview of greenhouse gas (GHG) emissions-monitoring tools and datasets to help them build their emissions inventories.
Find a GHG emissions data tool for your city
This guide provides an overview of GHG emissions-monitoring tools and data sets that enable cities around the world to access emissions data to help build their inventories; and best practice recommendations on how and when to use them. Cities can use these tools to get started or progress their transition to a 1.5°C trajectory until they have the capacity to collect local emissions data themselves.
There are many stages on a city’s climate action journey, from assessing its environmental impact and setting targets, to planning and acting. Creating a GHGI usually takes place in the initial assessment stage, but even within that phase cities may be at different levels of maturity and so some tools and datasets may be more useful than others.
Browse all GHG emissions data tools below. You can filter these by the three city climate journey stages.
Carbon Monitor Cities is an online CO2 emissions dataset developed by a group of universities and climate technology firms. It provides near-real-time daily city-level CO2 emissions data for 1500 cities in 46 countries.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 2. Identifying specific sources of emissions 3. Tracking progress overtime |
Tool strengths | - Recent, near-real time, daily data enables more detailed understanding of temporal changes in emissions - Publicly available, scientifically peer-reviewed methodology |
Tool limitations | - Not aligned with GPC or CRF - Provides CO2 data only - Only provides Scope 1 emissions - Poor coverage in Africa, Middle East and South-East Asia |
Geographic location/countries | Argentina, Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Chile, China, Colombia, Denmark, Egypt, Finland, France, Germany, Greece, Hungary, India, Indonesia, Iran, Italy, Japan, Republic of Korea, Malaysia, Mexico, Myanmar, the Netherlands, Nigeria, Norway, Pakistan, Peru, Philippines, Poland, Portugal, Russia, Singapore, South Africa, Spain, Sweden, Switzerland, Thailand, Türkiye, United Arab Emirates, United Kingdom, United States, Vietnam |
Language | English |
Accessibility | Free to use |
Methodology | Carbon Monitor Cities data is downscaled from Carbon Monitor, a near-real-time national level dataset of daily CO2 emissions that has been monitoring variations of CO2 emissions from fossil fuel combustion and cement production at a global scale since January 2019, and its global gridded version: GRACED. Carbon Monitor estimates daily CO2 emissions from a range of activity data, including hourly to daily electrical power generation data, monthly production data and production indices of industry processes, daily mobility data and mobility indices of road transportation. Individual flight location data and monthly data are used for aviation and maritime transportation sectors estimates. Monthly fuel consumption data is used for estimating the emissions from commercial and residential buildings. The data is down-scaled to city-level (10 km resolution) by converting into gridded map data. The gridded daily emissions data is disaggregated into individual cities using city area boundaries. The city-level transport and residential data is corrected using TomTom congestion data and daily heating degree days. |
Documentation of methodology | https://cities.carbonmonitor.org/ and https://www.nature.com/articles/s41597-022-01657-z |
Data quality/verified by 3rd party | The data has been corrected and validated by removing outliers and comparing the results to existing city inventory data. The overall uncertainty of the data is ±21.7%. The data has been scientifically peer-reviewed. |
Alignment with global standards and protocols (eg GPC and CRF) | Not aligned with GPC or CRF |
Emissions scopes | Scope 1 only |
GHGs | CO2 only |
Sectors included | Stationary energy, transport (ground and aviation), IPPU (fossil fuel CO2 emissions only) |
Scopes, GHGs and sectors excluded | GHGs: CH4, N2O, HFCs, PFCs, SF6, NF3. Sectors: Waste, AFOLU emissions (up to 10% of global CO2 emissions), and non-fossil fuel CO2 IPPU emissions |
Temporal resolution | Near-real-time, daily |
Spatial resolution | 10 km, but can be aggregated to city boundary |
Functionality for city to make adjustments | No functionality for cities to input their own local emissions data or to adjust the city boundary |
Latest accounting year | 2021 |
Frequency of data updates | Unknown |
Units | Metric kilotonnes (kt CO2) |
Using the tool, data outputs and how it can be exported | The data of 50 selected cities is available to download for free from the Carbon Monitor Cities website and the complete dataset of 1,500 cities can be downloaded for free from Figshare. Links to future updates of the complete dataset will be posted on the Carbon Monitor Cities website. The data output is an excel spreadsheet that contains daily emissions data for every city for every sector. Cities need to add the daily emissions data for each sector for their city to get annual total or sectoral emissions. The sectors are not aligned with the GPC or CRF so would need to be mapped against them in order to report the data against these protocols. |
Additional tool functionalities | None |
ClimateOS is a climate action decision-making tool for cities developed by climate action technology company ClimateView. Their aim is to provide cities with the data intelligence needed to take effective climate action. As part of this service, ClimateOS provides pre-populated GHG emissions data for cities in selected countries.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline |
Tool strengths | - Aligned with the GPC and CRF - GHG emissions data is integrated into climate action planning tool |
Tool limitations | - Data available for selected countries only |
Geographic location/countries | Canada, France, Germany, Spain, Sweden, United Kingdom, United States |
Language | English, French, German, Spanish, Swedish |
Accessibility | All GHG emissions data on the platform is free to use for cities in countries specified above. The full version of ClimateOS, including tailored support, is a paid-for service. |
Methodology | ClimateOS emissions data is downscaled from national-averaged activity data (from national statistics and other national data sources) for individual countries. It uses national or global-level emissions factors to generate emissions data for cities. |
Documentation of methodology | Detailed documentation for individual data points is available on the ClimateOS platform. |
Data quality/verified by 3rd party | Not verified by a third party |
Alignment with global standards and protocols (eg GPC and CRF) | Aligned with the GPC and CRF |
Emissions scopes | 1, 2, 3 (for selected cities) |
GHGs | CO2, N2O and CH4 |
Sectors included | Stationary energy, transport, waste |
Scopes, GHGs and sectors excluded | GHGs: HFCs, PFCs, SF6, NF3. Sectors: AFOLU and IPPU |
Temporal resolution | Annual |
Spatial resolution | City boundary |
Functionality for city to make adjustments | The tool allows cities to adjust or improve the accuracy of the output by including their own local data where available. It may be possible to redefine boundary – discuss with ClimateView. |
Latest accounting year | 2019 or 2020, depending on country |
Frequency of data updates | Data update feature under development with the aim of eventually providing annual updates, depending on data sources. |
Units | Metric tonnes (tCO2e) and in local units of each country |
Using the tool, data outputs and how it can be exported | Register with ClimateView here. The emissions data is provided in an online platform where the user can explore different visualisations of the data from total emissions down to sub-sector level. The data can be exported as an excel file and the o utput results in a baseline inventory that satisfies GCoM requirements and is aligned with the CRF format. |
Additional tool functionalities | ClimateOS is an integrated climate decision-making and action planning platform covering GHG emissions inventory management, simulation and action planning. |
Crosswalk Labs offers a comprehensive measurement, reporting, and verification tool that presents a digital twin of Greenhouse Gas emissions for every city across the United States. The model generates emissions data (fossil fuel CO2, methane, and nitrous oxide) that align with reporting protocols including the Global Protocol for Community-Scale Greenhouse Gas Inventories (GPC) and the Common Reporting Framework (CRF).
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline 2. Identifying specific sources of emissions |
Tool strengths | - Nationwide coverage for every city; - Uniform methodology year-to-year and city-by-city, which can facilitate direct comparison across cities; - Alignment with global standards and protocols (eg GPC and CRF); - User-friendly web interface; - Provides both data visualization and data export. |
Tool limitations | - Only available for cities in United States |
Geographic location/countries | United States |
Language | English, Spanish, other languages as needed |
Accessibility | Crosswalk Labs offers a free-to-use version as well as a more detailed and granular subscription-based service. |
Methodology | Crosswalk Labs uses a data mining approach to ingest activity-based (aka bottom-up) data at multiple scales (including local) to best estimate emissions. |
Documentation of methodology | |
Data quality/verified by 3rd party | Crosswalk submits its sources, methods, and results for review by experts and publication in reputable scientific journals, and Crosswalk’s process includes comparing its emissions estimates to the U.S. government’s atmospheric measurements of CO 2. Past emissions estimates agreed to within 1.4% of direct atmospheric measurements of CO 2. |
Alignment with global standards and protocols (eg GPC and CRF) | Emissions data provided by Crosswalk Labs align with global standards and protocols such as the GPC and GCoM CRF. |
Emissions scopes | Scope 1 and 2 |
GHGs | CO2 (fossil fuels), methane, and nitrous oxide. |
Sectors included | Stationary energy (including residential buildings, commercial and institutional buildings and facilities), transportation (including on-road, non-road, waterborne navigation, aviation, railways), IPPU (cement production only), and waste (including disposal of waste generated in the city, incineration and open burning of waste generated outside the city, wastewater generated in the city). |
Scopes, GHGs and sectors excluded | Scope 3 (except waste) GHGs: HFCs, PFCs, SF6, NF3. Sectors: AFOLU |
Temporal resolution | Annual |
Spatial resolution | City boundary, and neighborhood scale for fossil fuel CO2. |
Functionality for city to make adjustments | Cities can adjust for the spatial boundary, the time period, the individual or set of specific emission sources, and can also incorporate local data into Crosswalk data. |
Latest accounting year | 2021 |
Frequency of data updates | Every six months |
Units | Metric tonnes of CO2 equivalent (mt CO2e) |
Using the tool, data outputs and how it can be exported | Data can be exported as maps, spreadsheets, csv files, shapefiles, and custom reports, and also can be integrated into common reporting tools such as ICLEI ClearPath. |
Additional tool functionalities | Provides detailed maps and spatial analytics to support climate action planning. Ability to overlay on other spatially disaggregated data like the U.S. EPA’s EJScreen. |
Data Portal for Cities is an open data platform, hosted by the Global Covenant of Mayors in collaboration with WRI, that provides activity data and emission factors to enable cities to calculate their GHG inventory. It aims to help cities fill critical information gaps by providing estimates of previously unavailable data drawn from national and regional sources.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline |
Tool strengths | - Aligned with the GPC, CRF and the CIRIS tool - Publicly available methodology documentation - Data can be exported via an API |
Tool limitations | - The most recent data is from 2017 and for some countries 2015 - Data not currently updated - Data available for selected countries only and no coverage in Africa or the Middle East |
Geographic location/countries | Brazil, Canada, Chile, Colombia, Costa Rica, India, Indonesia, Japan, Mexico, Philippines, United States |
Language | English, French, Portuguese |
Accessibility | Free to use |
Methodology | Data Portal for Cities downscales activity data from national and regional data and provides emission factors to convert into emissions data. The local government-scale data is estimated using a combination of existing national and regional statistics, scaling factors, and city-specific data – such as population, building stock data or business patterns. Emission factors used vary from country to country – see country-specific methodologies for more detail. The limitations of the methodology vary from country to country and are well documented. See the Data Methodology & Documentation section on the website (https://dataportalforcities.org/) for more details of country-specific methodologies. |
Documentation of methodology | Data Methodology & Documentation section on the Data Portal for Cities website: https://dataportalforcities.org/ |
Data quality/verified by 3rd party | Quality control assessments conducted for individual countries. See methodology for more information. |
Alignment with global standards and protocols (eg GPC and CRF) | Aligned with the GPC and CRF |
Emissions scopes | 1, 2 |
GHGs | CO2, CH4, N2O |
Sectors included | Stationary energy, transport, waste |
Scopes, GHGs and sectors excluded | Scope 3, AFOLU and IPPU (these sectors will be available soon) |
Temporal resolution | Annual |
Spatial resolution | City boundary |
Functionality for city to make adjustments | No functionality within the platform |
Latest accounting year | Varies depending on country – 2015 to 2017. There are plans to integrate GoogleEIE data into future versions of this tool which will result in more recent data becoming available. |
Frequency of data updates | Unknown |
Units | Metric tonnes (t CO2e) |
Using the tool, data outputs and how it can be exported | Data Portal for Cities is a map-based online data platform. The user can navigate to a city and download the data as an excel file. Activity data and emission factors for the city can be downloaded as a full dataset or in the ClearPath format, or the total and sector-based emissions data can be downloaded in the CRF format. The tool also has an API functionality to download the data in bulk. Data Portal for Cities data can be imported into the latest version of CIRIS (v2.5) to rapidly create an inventory. |
Additional tool functionalities | Data Portal for Cities allows easy comparisons of emission data with other cities. It can also help users see which sectors should be prioritized when choosing decarbonization actions and for investing in better activity data. |
Ecospeed Region is an online tool developed by energy and climate software solutions provider Ecospeed that provides energy consumption and CO2 data to cities across Germany, Switzerland, Luxembourg and Italy.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline |
Tool strengths | - GHG emissions data is integrated into climate action planning tool |
Tool limitations | - Data available for selected countries only |
Geographic location/countries | Germany, Switzerland, Luxembourg, Italy |
Language | German, English, French, Italian (further languages on demand) |
Accessibility | Pay to use |
Methodology | The data is downscaled from a range of national statistics (energy and electricity statistics and transport models), national GHG inventories, regional data (energy consumption, traffic counts and production plants) and other forecasting studies. National data is downscaled to key indicators per inhabitant or employee. The energy consumption and CO2e emissions are then calculated by multiplying the key indicators by the number of inhabitants or employed people in the municipality. The balance can be calculated according to a range of methodologies, including the IPCC. |
Documentation of methodology | Not publicly available |
Data quality/verified by 3rd party | Emissions data is compared with local data provided by cities. In most of the cases, the accuracy of Ecospeed’s data is 90%. However, the accuracy of the data varies depending on the size of the municipality or region. The data is not verified by a third party. |
Alignment with global standards and protocols (eg GPC and CRF) | Aligned with the German BISKO standard but output can be exported in alignment with GPC and CRF |
Emissions scopes | 1, 2 and 3 (using the Life Cycle Assessment - LCA methodology) |
GHGs | CO2, CH4, N2O |
Sectors included | Household and economy buildings and infrastructure, municipal buildings, vehicles, street lighting and infrastructure; energy production; transport; and non-energy-related emissions, including industrial processes, fugitive emissions, agriculture, LULUCF, and waste |
Scopes, GHGs and sectors excluded | GHGs: HFCs, PFCs, SF6, NF3. |
Temporal resolution | Annual |
Spatial resolution | City boundary |
Functionality for city to make adjustments | The tool allows cities to adjust or improve the accuracy of the output by including their own local data. |
Latest accounting year | 2022 |
Frequency of data updates | Annual |
Units | Metric tonnes (t CO2e) and other formats |
Using the tool, data outputs and how it can be exported | To access the tool, cities need to register with Ecospeed through their website and choose which version of Ecospeed Region they would like to purchase. The tool provides emissions for the sectors mentioned for each city for a given year through an online dashboard. Cities can input this data into their chosen reporting protocol. Data outputs can be aligned with the GPC and CRF if required. All input tables and results can be downloaded as Excel files. |
Additional tool functionalities | The tool includes additional climate scenario planning functionalities; excel import and export, unit conversion, plausibility check, various predefined reports, customisation; data REST-API |
gaia CO2balance is an online map-based platform developed by enersis providing data on annual emissions and emissions change to over 1800 cities in Germany, Switzerland, and the Netherlands.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline scope 2. Identifying specific sources of emissions |
Tool strengths | - Aligned with the GPC - Aligned with BISKO (German accounting standard) - Data can be exported via an API - GHG emissions data is integrated into climate action planning tool - The tool uses by default the international and national emissions factors. The municipality or region also has the possibility to add their own emissions factors. - Tool can be integrated into further use cases like municipal heat planning etc. |
Tool limitations | - Available for cities in Germany, Switzerland and the Netherlands but methodology can be transferred to all countries on request |
Geographic location/countries | Germany, Switzerland and the Netherlands |
Language | German, English, French |
Accessibility | Pay to use |
Methodology | Emissions data is partially upscaled from local data (eg data from utilities and satellite data) and partially downscaled from publicly available national German and Swiss data sources, including national statistics for energy, waste and agricultural data and transport emissions models for transport data using population or number of employees. |
Documentation of methodology | Not publicly available |
Data quality/verified by 3rd party | Data quality is assessed on a scale of 1 (low) to 5 (high) based on whether it comes from direct measurements, locally measured data, or is downscaled from national statistics. Some of the nationally-sourced and local datasets are assessed by a third party. |
Alignment with global standards and protocols (eg GPC and CRF) | Aligned with the GPC, BISKO (German standard), and STET (Stationary Energie Transportation). |
Emissions scopes | 1, 2 and 3 (partially) |
GHGs | CO2, CH4, N2O, HFCs, PFCs, SF6, NF3 considered as CO2e |
Sectors included | Transport, stationary energy, waste, AFOLU and IPPU |
Scopes, GHGs and sectors excluded | Scope 3 (partially) |
Temporal resolution | Annual |
Spatial resolution | City boundary, county, state, country level |
Functionality for city to make adjustments | Cities can choose the geographic boundary they would like to use for their inventory and do a combined emissions inventory with other cities. Cities can also input their own local data to improve the accuracy of the data outputs. |
Latest accounting year | 2022 (data for the previous year is uploaded in late summer of the current year) |
Frequency of data updates | Annual or depending on client needs |
Units | Metric tonnes (tCO2e). |
Using the tool, data outputs and how it can be exported | Gaia provides total and sector-level annual emissions data for cities. The output can be exported in alignment with the GPC as an excel or csv file and can be directly inputted into a GPC-aligned inventory. The tool allows cities to adjust or improve the accuracy of the output by including their own local data. To access the tool, the city should contact enersis directly. |
Additional tool functionalities | The Gaia module also helps cities with climate action planning by identifying potential areas for climate action across the building, transport and energy sectors. |
Everimpact, a company backed by the European Commission and the Asian Development Bank, combines public satellite data and ground sensor data to help cities measure their GHG emissions, track their emissions reduction in real-time and attract financing from the voluntary carbon market to finance further decarbonisation investments.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 2. Identifying specific sources of emissions 3. Tracking progress overtime |
Tool strengths | - Based on direct emissions measurements - High temporal resolution data (hourly) |
Tool limitations | - Methodology not publicly available |
Geographic location/countries | Global |
Language | English |
Accessibility | Free to use open data/premium data |
Methodology | In the free version, this tool uses satellite atmospheric concentrations of CO2 data measurements (direct emissions) combined with land-use classification satellite images to improve missing data. In the premium version, data can be granular (street level) and certified with sensors and/or other data sources such as traffic, weather, electricity emissions’ data. |
Documentation of methodology | Not publicly available |
Data quality/verified by 3rd party | Everimpact’s data is based on remote sensing which provides reliable independent and real-time carbon emissions. The data is not currently verified by a third party, but Everimpact is working towards a certification of its data by reputable certification bodies. |
Alignment with global standards and protocols (eg GPC and CRF) | Reporting aligned with both GPC and CRF |
Emissions scopes | 1. In addition, Scope 2 and 3 emissions are possible through partners. |
GHGs | CO2, CH4 and N2O |
Sectors included | Data broken down by using the activity sectors of GPC and CRF |
Scopes, GHGs and sectors excluded | Scopes: scope 3. GHGs: HFCs, PFCs, SF6, NF3. |
Temporal resolution | Hourly, daily, monthly, quarterly, yearly |
Spatial resolution | 3 km2 in free version, hyperlocal/street level in paid for version |
Functionality for city to make adjustments | Cities can compare their own GHG inventories with Everimpact’s data and simulate their carbon budget |
Latest accounting year | 2022 |
Frequency of data updates | Every 10 minutes |
Units | Metric tonnes (tCO2e) |
Using the tool, data outputs and how it can be exported | Everimpact’s tool has a dashboard allowing the visualisation of the carbon emissions on a map of the city’s territory and graphs of carbon emissions and carbon emissions reductions with the possibility of selecting specific sectors of activity and to compare to the city’s historical data. The city can either use Everimpact’s dashboard or import the data to its own system using an API. Contact Everimpact for more information. |
Additional tool functionalities | Revenue generating functionality: Everimpact’s carbon monitoring solution aims to accelerate decarbonisation in cities by attracting funding from the voluntary carbon market to help cities finance their climate action. This funding is backed by Everimpact’s data and methodology. |
Futureproofed is an online city carbon management platform built by the climate tech company Futureproofed, part of Sweco, to measure, reduce and report GHG emissions for cities. Futureproofed supports the creation of GHG emissions inventories, climate goal setting, digital collaboration, monitoring of progress, and stakeholder engagement for about 150 cities worldwide.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline |
Tool strengths | - Aligned with the GPC and CRF - GHG emissions data is integrated into climate action planning tool - Public pages for easy communication - Automated public pages for easy communication - Pre-calculated database of climate measures - Helicopter view account for regional coordinators - User-centric plan overview - In-app live support by expert coaches |
Tool limitations | - Methodology not publicly available |
Geographic location/countries | Currently supporting cities in Belgium, Bulgaria, France, Spain, Sweden, the Netherlands, and the Philippines. The tool was used by 50 cities across Europe, Africa, Asia and the Americas in 2022 as part of the collaboration with WWF’s One Planet City Challenge |
Language | English, Dutch, French, Spanish, Catalan, Swedish |
Accessibility | Pay to use, but some emissions data is free to download through their Open Data API, Launchpad. |
Methodology | Futureproofed prioritizes integrating the most local and recent data where it is available. When not available, data is downscaled from national and regional to city level. National and regional activity data and emission factors are used to calculate the final emissions inventories. Where national emission factors are not available, the tool uses default factors provided by the IPCC. Data sources include Eurostat, the European Environmental Agency and national statistical services. |
Documentation of methodology | Not publicly available but detailed documentation on the methodology is available within the platform. |
Data quality/verified by 3rd party | Futureproofed prioritizes public data, standardized and endorsed by governmental organizations to ensure the data is of good quality. To assess the quality of the data, Futureproofed compares its calculations against data submitted by governments to international initiatives such as the Covenant of Mayors. The data is not currently verified by a third party, but Futureproofed implements periodical revisions to retire or update the data used to calculate the impact of measures. |
Alignment with global standards and protocols (eg GPC and CRF) | Aligned with the GPC, CRF, and SECAP. Fully supported national frameworks include the Swedish SMHI and the Dutch Klimaatmonitor frameworks. |
Emissions scopes | 1, 2 and some scope 3 |
GHGs | CO2, CH4, N2O and CFCs from energy use |
Sectors included | Buildings, transport, waste, AFOLU and IPPU |
Scopes, GHGs and sectors excluded | Scopes: some scope 3. GHGs: HFCs, PFCs, SF6, NF3 |
Temporal resolution | Annual |
Spatial resolution | City boundary |
Functionality for city to make adjustments | Cities can adjust the geographic boundary in the tool if needed and do a combined emissions inventory with other cities. At any time, the tool enables cities to adjust the datasets to match their territorial configuration. Cities can also input their local activity data or emissions data to improve the accuracy of the outputs. |
Latest accounting year | 2021 |
Frequency of data updates | Annual |
Units | Metric tonnes per capita (tCO2e/per capita) or kilotonnes (kt CO2) |
Using the tool, data outputs and how it can be exported | Cities can sign up to use Futureproofed through their website. Cities are enabled to provide their own local data in order to improve the accuracy of the output, such as number of company cars in city, number of buildings, households, etc. When local data is not available, a best-available estimate is automatically suggested by the platform. Cities work on the platform online, and when needed, all the data can be downloaded in different formats suitable for reporting. |
Additional tool functionalities | - Provides additional target setting and climate planning functionalities, including what actions the city is planning to take and their financial ROI and co-benefits. - Cities can make their profile public to facilitate stakeholder and community engagement. - Futureproofed Cities also has a free GHG emissions platform called Launchpad, which provides some city emissions data that can be downloaded for free through an API. - The group view allows to aggregate individual cities’ data and provide insights to regional coordinators, empowering multi-level governance. - User-centric plan overview gives cities the flexibility to construct and organize their climate action plans according to their local governance. - An online community connects users with each other and enables exchange around topics that matter to them. - Optional climate partner guidance enables cities to tap into the network of more than 20,000 Sweco experts to help cities for concrete project support. |
Google’s Environmental Insights Explorer (EIE) is a free platform for cities and local governments to understand their main sources of greenhouse gasses (GHGs), and to identify areas of opportunity for emissions reduction and climate adaptation projects.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline 2. Identifying specific sources of emissions 3. Tracking progress overtime |
Tool strengths | - Free access - Global coverage - Aligned with GPC - Annually refreshed and comprehensive mobility data - Provides transportation mode split data: trips via cycling, walking, and more - Provides globally consistent datasets usable in multiple formats, eg tabular formats that can be integrated into existing workflows - Cities are using EIE to: update their GHG emissions inventory and set carbon reduction goals; validate existing assumptions, data and baselines; develop sustainable mobility plans and encourage low-emission travel; improve uptake of solar energy; identify and improve extreme heat zones & ensure health equity; identify priority areas for tree planting. |
Tool limitations | - Not aligned with the Global Covenant of Mayors (GCoM) Common Reporting Framework (CRF) |
Geographic location/countries | Global |
Language | English, German, Japanese, Portuguese (Brazilian), Spanish (European), Hindi, Indonesian, Thai, French (European), Turkish, Danish, Italian, Dutch, Russian, Polish, Chinese (Traditional, Mandarin) |
Accessibility | Free to use – requires City Sustainability Professionals to request access |
Methodology | EIE uses unique Google data sources and modelling capabilities to produce estimates of activity, emissions, and reduction opportunities. By surfacing environmental information in a robust platform free of charge, we aim to serve sustainability decision makers working on these issues and solutions for cities globally. The insights we offer are a modelled estimate based on actual measurements of activity and infrastructure, which is the same underlying information that is made available in Google Maps. Additionally, we use AI and advanced machine learning techniques to understand how people are moving around the world, and then apply scaling, efficiency, anonymization, and emissions factors, while applying region-specific assumptions from CURB: Climate Action for Urban Sustainability tool. In generating these estimates, EIE has worked with experts to make methodology choices, while acknowledging that cities may make different methodology choices that generate different results. |
Documentation of methodology | |
Data quality/verified by 3rd party | Testing modelled transport data against actual road sensor counts in cities across 10 countries. The data is not verified by a third party. |
Alignment with global standards and protocols (eg GPC and CRF) | Aligned with the GPC |
Emissions scopes | 1, 2, 3 |
GHGs | CO2, CH4, N2O, HFCs, PFCs, SF6, NF3 |
Sectors included | Buildings and transportation (on-road, water-borne, rail) |
Scopes, GHGs and sectors excluded | Sectors: transportation (aviation and off-road); waste; agriculture, forestry and land use (AFOLU); industrial processes and product use (IPPU). |
Temporal resolution | Annual |
Spatial resolution | City boundary, defined by Google Maps |
Functionality for city to make adjustments | - Update distances travelled (km) - Update population data - Update emission factors - Update floor space (m2) - Update solar goals, capacity, carbon intensity and green jobs per MW City boundary updates can be made through direct contact with Google’s EIE team. |
Latest accounting year | 2022 |
Frequency of data updates | Annual |
Units | Metric tonnes (t CO2e) |
Using the tool, data outputs and how it can be exported | - To access data, City Sustainability Professionals and government employees must sign up via the EIE Homepage. - Users can download the data as a .csv file. - A small amount of data processing is needed to convert the raw transport data into the GPC or CRF format - Select which year data should be exported for. - Select the emissions scope the trips fall into, eg Scope 1, 2 or 3. - The energy performance data used to estimate emissions from building footprints is sourced from CURB and may vary from local energy use data. Cities may need to combine this data with emissions data for their other sectors to develop a full, comprehensive inventory. |
Additional tool functionalities | Provides additional data on tree cover, rooftop solar potential, air quality (limited) avoided emissions estimates, co-benefits (job creation estimates) |
Klimaschutz-Planer is an online map-based tool provided by Climate Alliance, one of the world’s largest city networks taking local action on climate change. The tool allows municipalities to monitor final energy consumption and GHG emissions. In addition, it incorporates climate action planning functionalities, including benchmark and scenario planning modules. The Klimaschutz-Planer was developed by Climate Alliance e.V., the Institute for Energy and Environmental Research Heidelberg, and Institute for Decentralized Energy Technologies (IdE) in collaboration with dozens of municipalities and monitoring experts. The project was funded by the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB).
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline |
Tool strengths | - Designed to provide highly significant local energy consumption and emission inventories (tool prioritises collection of local activity data vs downscaling from national datasets) - GHG emissions data is integrated into climate action planning tool - Developed and enhanced with the help and including the needs of municipal users - Interconnections with other web-based tools of Climate Alliance, e.g. the https://klimaschutz-praxis.de/ (Climate Alliance’s platform for municipal project communication and documentation) |
Tool limitations | - Not disaggregated by emissions scope - Not aligned with the GPC and CR - Does not cover waste emissions - Currently only available for cities in Germany and the German-speaking Community, known since 2017 as East Belgium |
Geographic location/countries | Germany |
Language | German |
Accessibility | Pay to use |
Methodology | The tool prioritises using local activity data where available. Data gaps are filled in with estimates and downscaled national data. Data sources include national statistics, transport data, and census data for building age and heating type. Emissions are calculated in alignment with the BISKO municipal accounting standard for calculating energy and GHG emissions balances for municipalities in Germany. |
Documentation of methodology | Tool documentation is not publicly available but documentation of the BISKO methodology is publicly available in German language in long and short formats. |
Data quality/verified by 3rd party | Data quality is assessed from high to low based on whether it comes from locally measured sources or is downscaled from national datasets. The data used is not verified by a third party. |
Alignment with global standards and protocols (eg GPC and CRF) | Due to missing data on a municipal level, the methodology (BISKO) used cannot be aligned with the GPC and CRF. |
Emissions scopes | Not disaggregated by emissions scope |
GHGs | CO2, CH4, N2O |
Sectors included | Transport, private households, municipal facilities, business, trade and services, and industry |
Scopes, GHGs and sectors excluded | GHGs: HFCs, PFCs, SF6, NF3. Sectors: Waste, IPPU and AFOLU. |
Temporal resolution | Annual |
Spatial resolution | City boundary |
Functionality for city to make adjustments | The tool allows cities to adjust or improve the accuracy of the output by including their own local data where available. A minimum of municipal input is needed in order to generate an output. |
Latest accounting year | 2021 |
Frequency of data updates | Annual |
Units | MWh and metric tonnes (tCO2e) |
Using the tool, data outputs and how it can be exported | Municipalities can access pre-populated data on population, energy consumption for travel, manufacturing and building data (age and type of heating) in the tool. The tool uses this data to estimate total emissions for each municipality. Cities can import and export data as an excel file. The data in the tool is not aligned with the GPC and CRF and not disaggregated by emissions scope, therefore the local government would need to undertake a mapping between the sectors in the tool and the GPC, including identifying the relevant emissions scopes, to be able to input the data into GPC or CRF format. Cities would need to combine this data with additional data on their waste emissions to develop a full, comprehensive inventory. |
Additional tool functionalities | The tool includes additional climate action scenario analysis and benchmarking functionalities |
MEED is an online dashboard, developed by consultancies Sustainability Solutions Group and whatif? Technologies, where Canadian municipalities can view their total and per-sector energy and emissions data. This is a Beta version, and the tool is in the process of being updated.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline |
Tool strengths | - Aligned with the GPC format |
Tool limitations | - Currently no functionality for municipality to input their own local data to improve the accuracy of the output, but a mechanism is currently being worked on for communities to create custom inventories using their local utility reported energy data. - Currently no functionality to export the GPC report as an excel file. - Only available for municipalities in Canada. |
Geographic location/countries | Canada |
Language | English, French |
Accessibility | Free to use |
Methodology | The tool estimates local municipality emissions by downscaling national and regional energy and GHG emissions data to local governments across Canada, using geospatial analysis and machine learning methods. The national and regional data is downscaled using localised data points, such as population, households, employment, weather and known large emitters. The tool integrates both bottom-up activity-based community GHG inventory data and top-down national and regional data, including waste disposal. To assess the quality of the output, the results are compared to published federal energy and emissions reports. Where there are differences, the MEED calculator assumptions are adjusted. Emissions from large industries have been allocated to the places where their employees are registered. The data sources for MEED come from: Statistics Canada; Census of Population; Business Register; Disposal of waste, by source; Index of Remoteness; Census of Agriculture; Natural Resources Canada; Comprehensive Energy Use Database (CEUD); and National Railway Network. |
Documentation of methodology | |
Data quality/verified by 3rd party | To assess the quality of the output, the results are compared to published federal energy and emissions reports. Where there are differences, the MEED calculator assumptions are adjusted. The data is not verified by a third party. |
Alignment with global standards and protocols (eg GPC and CRF) | Aligned with GPC |
Emissions scopes | 1, 2 |
GHGs | CO2, CH4, N2O |
Sectors included | Transport, buildings, stationary energy sources, waste |
Scopes, GHGs and sectors excluded | Scopes: scope 3. GHGs: HFCs, PFCs, SF6, NF3. Sectors: IPPU and AFOLU. |
Temporal resolution | Annual |
Spatial resolution | City boundary |
Functionality for city to make adjustments | No functionality to adjust the boundaries or for cities to add local data to improve the accuracy of the data. A mechanism is currently being worked on for communities to create custom inventories using their local utility reported energy data. |
Latest accounting year | 2018 (soon to be updated to 2019) |
Frequency of data updates | Annual |
Units | Metric tonnes (tCO2e) |
Using the tool, data outputs and how it can be exported | To access the tool, cities need to register on the dashboard. Following this, the user can search for their city using the “Access Data” search bar. Cities can explore the data for total emissions or individual sectors on the dashboard. The tool also automatically converts the data into the GPC format online, therefore the data can be copied and pasted straight into the GPC inventory format. An upcoming update to the tool will enable municipalities to add their own local data as well as export the data to excel. |
Additional tool functionalities | None |
nexqt is an AI-powered urban carbon emissions data platform for cities and investors, that utilizes open data, geolocation, GPS and satellites to create near real-time GHG emissions estimations at a city, district, or building/street level.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline 2. Identifying specific sources of emissions 3. Tracking progress overtime |
Tool strengths | - Helps cities to meet the urban decarbonization challenge by providing up-to-date data that is available at an operational scale for understanding current trends, assessing progress, and assessing impact of recent policy choices. - Up-to-date high-resolution data enables cities to provide localized information when applying for funding from national and/or regional agencies, helping with the significant climate financing gap they often face. - Scientifically peer-reviewed methodology. |
Tool limitations | - Not currently aligned with GPC BASIC+ or CRF. - Only covers CO2 and partially CH4 (agricultural emissions and waste). |
Geographic location/countries | Currently in Europe, the aim is to expand worldwide (USA coming soon). A first pilot is underway in a large panel of Asian cities. |
Language | English, French |
Accessibility | Subscription-based service, depending on the size of the local authority. Future Freemium service (free data at city level and paid service for data at neighborhood and building/street level). |
Methodology | nexqt’s methodology was co-designed with RMI alongside other partners under the umbrella of City Climate Intelligence initiative (CCI). The evidence-based methodology combines bottom-up and top-down analyses. Bottom-up data analysis uses local activity data — including building maps, energy use information, and traffic counts — and empirical emissions factors to provide a granular assessment of urban GHG emissions. The top-down approach uses observations and data collected by APIs on energy supplier platforms and satellites to generate emissions estimates and confirm bottom-up emissions measurements. The methodology then analyzes emissions at different spatial scales, from metropolitan area to building and street level. |
Documentation of methodology | Methodology is not available from the nexqt website, but the City Climate Intelligence (CCI) initiative methodology is available from here. |
Data quality/verified by 3rd party | The CCI methodology has been validated through a rigorous peer-review process via the project’s scientific partners. |
Alignment with global standards and protocols (eg GPC and CRF) | Aligned with GPC BASIC level. The CCI team are working to align the methodology with the GPC BASIC+ and the CRF to ensure compatibility. |
Emissions scopes | 1, 2 |
GHGs | CO2 only (except for agricultural emissions, which covers CH4 and NO2) |
Sectors included | Stationary energy, transport (road and railway), waste (treated on-site inside and outside the city boundary), AFOLU (agriculture), IPPU |
Scopes, GHGs and sectors excluded | Scopes: scope 3 (on request for stationary energy, transport and waste) GHGs: CH4, N2O, HFCs, PFCs, SF6, NF3 (except for AFOLU and waste, which covers CH4 and NO2) Sectors: transport (air and water, will be available in the future), AFOLU (forestry and other land use) |
Temporal resolution | Data is temporalized and updated daily from 1 January 2019 at four time steps: hourly, daily, monthly, and yearly. |
Spatial resolution | Data is consolidated at four spatial scales: metropolitan area, municipality, neighborhood, and building/street level. |
Functionality for city to make adjustments | Cities can choose the specific boundaries they need to consider for their emissions inventory and climate action plan. Any combination of spatial entity can be chosen (from neighborhood to district to city level). The platform is open to integration with the city's GIS system via various protocols (API, WMS, WFS, etc.) with the possibility for the user to upload any CSV, JSON or shape files in nexqt’s mapping service. |
Latest accounting year | 2023 and 2024 (last completed months) |
Frequency of data updates | Daily |
Units | tCO2eq, MWh, gCO2eq/km, kWh/m2 and sector specific metrics (vehicle km travelled, building surface, road length, etc.) |
Using the tool, data outputs and how it can be exported | Both city climate officer and city GIS expert can export or integrate nexqt’s data into their environment. Two possibilities are offered: (a) All the data are easily exportable (XLS, CSV); (b) The platform is searchable through nexqt’s API to feed the city’s GIS system. |
Additional tool functionalities | As well providing emissions data, nexqt includes a suite of 3 solutions: - Carbon tracker: What are the current trends and are we on track? What is the real impact of the city climate action plan? This is key for a higher citizen buy-in towards bolder climate decision. - Explore & target: Where are the city CO2 emission hotspots and best opportunities? The value added is to visualize the 80/20 of the emission reduction opportunities in every sector of the city. The core purpose is to optimize the impact of the climate action budget. - What-if scenario: the nexqt digital twin of the city also provides an impact simulator, to assess investment decisions and policy options, ideal to get pre-feasibility study level insights to make the most of funding and partnership opportunities. |
OpenGHGMap is an online map-based platform built on OpenStreetMap with total GHG emissions values for European municipalities.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline |
Tool strengths | - Publicly available, scientifically peer-reviewed methodology |
Tool limitations | - Only covers Scope 1 and CO2 emissions - Not aligned with GPC or CRF - No functionality for cities to input their own local data to improve the accuracy of the output. - Only available for cities in Europe |
Geographic location/countries | Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Slovenia, Slovakia, Turkey, Ukraine, United Kingdom |
Language | English |
Accessibility | Free to use |
Methodology | The tool downscales national level CO2 emissions data (from Eurostat) to city-level by spatially disaggregating the data using OpenStreetMap, an open source global geographical database. The data is disaggregated into nine emissions categories. Vehicle emissions are attributed across fuel stations, train emissions at stations and aviation bunker fuel emissions at airports. Industrial source emissions are located at the registered address where these emissions physically occur or are legally controlled. |
Documentation of methodology | https://openghgmap.net/data/ and https://essd.copernicus.org/articles/14/845/2022/ |
Data quality/verified by 3rd party | The dataset was compared against self-reported data from 44 European cities. There was very high agreement between the datasets, despite the different methods and timing of the city inventories. The data has been scientifically peer-reviewed. |
Alignment with global standards and protocols (eg GPC and CRF) | Not aligned with GPC or GCoM CRF. |
Emissions scopes | 1 |
GHGs | CO2 |
Sectors included | Transport (vehicles, airports, harbours, train stations), stationary energy (buildings), industrial facilities, farms and refineries |
Scopes, GHGs and sectors excluded | GHGs: CH4, N2O, HFCs, PFCs, SF6, NF3. Scopes: 2 and 3, Sectors: waste and LULUCF. |
Temporal resolution | Annual |
Spatial resolution | City boundary, county, and state (following the administrative levels used in each country). |
Functionality for city to make adjustments | No functionality for cities to input their own local emissions data. The user can switch between local authority and regional boundaries. |
Latest accounting year | 2018 |
Frequency of data updates | Unknown |
Units | Metric tonnes (t CO2) or metric tonnes per capita (t CO2/per capita) |
Using the tool, data outputs and how it can be exported | Users can access the tool on the OpenGHGMap website and navigate to their city and explore the data visually, including switching between units. To download the data, the user should navigate to the tool’s “About” page where they can download an excel file of the full dataset for cities, including total emissions and emissions breakdown by sector. Please note the sectors are not aligned with the GPC or CRF so would need to be mapped against them to report the data against these protocols. The data only provides direct Scope 1 emissions and only includes CO2. Cities would need to combine this data with other Scope 2 and 3 data and other GHG data to develop a full, comprehensive inventory. |
Additional tool functionalities | None |
The Proxy Data Tool is an excel-based tool developed by ICLEI Africa and COMSSA as a plug-in for the well-established City Inventory Reporting and Information System (CIRIS) tool, and provides proxy GHG emissions data for cities in Africa.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline |
Tool strengths | - Aligned with GPC and CRF - Publicly available methodology - Useful for providing a starting point for cities that struggle with data collection |
Tool limitations | -Due to the nature of proxy data, the results are an approximation and may not be accurate. Cities are recommended to review and update the default data utilised by the tool wherever possible. - Only available for cities in Africa - The tool requires a certain level of familiarisation with how to use it and interpret the results |
Geographic location/countries | Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Comoros, Congo, Cote d'Ivoire, D.R. of Congo, Djibouti, Egypt, Eswatini, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Morocco, Mozambique, Namibia, Niger, Nigeria, Rwanda, Western Sahara, Sao Tome & Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, Togo, Tunisia, Uganda, Zambia, Zimbabwe |
Language | English, French |
Accessibility | Free to use (for Covenant of Mayors in Sub-Saharan Africa (CoM SSA) signatories only), available upon request from helpdesk@comssa.org or technicalhelpdesk@comssa.org |
Methodology | The total emissions are calculated using census and economic data provided by the city, drawing on existing available national, regional and global data and scaling it down (using population and/or GDP depending on data inputs) to provide local-level estimates for the stationary energy, transportation, and waste sectors. Emission factors and Global Warming Potentials are sourced from IPCC data. |
Documentation of methodology | |
Data quality/verified by 3rd party | Data quality not assessed and data is not verified by a third party. |
Alignment with global standards and protocols (eg GPC and CRF) | Aligned with GPC and CRF |
Emissions scopes | 1, 2 and some Scope 3 (GPC BASIC) |
GHGs | CO2, CH4, N2O |
Sectors included | Stationary energy, transport, waste |
Scopes, GHGs and sectors excluded | Scopes: scope 3 (Stationary energy and transport). GHGs: HFCs, PFCs, SF6, NF3. Sectors: IPPU, AFOLU. |
Temporal resolution | Annual |
Spatial resolution | City boundary |
Functionality for city to make adjustments | The tool allows cities to adjust or improve the accuracy of the output by including their own local data where available. |
Latest accounting year | 2019 |
Frequency of data updates | Unknown |
Units | Metric tonnes (t CO2e) |
Using the tool, data outputs and how it can be exported | The Proxy Data Tool is an excel-based tool that has been integrated into C40’s CIRIS tool. The tool produces an inventory report that is aligned with the GPC and CRF formats and can be downloaded as an excel file. Users are only required to enter basic census data on population and Gross Domestic Product. However, the tool allows cities to adjust or improve the accuracy of the output by including their own local data where available. Please note, due to the nature of proxy data, the results are an approximation and may not be accurate. Cities are recommended to review and update the default data utilised by the tool wherever possible. For more information on how to use the tool, please see the user guide. The Proxy Data Tool is available on request from helpdesk@comssa.org. |
Additional tool functionalities | None |
SCATTER is an online tool developed by sustainability consultant Anthesis providing GHG emissions data and climate action planning functionalities for United Kingdom local authorities.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline |
Tool strengths | - Aligned with GPC and CRF - Publicly available methodology - Does not require data input or resource efforts from users - Provides a comprehensive inventory across most scopes and sectors - GHG emissions data is integrated into carbon reduction pathways planning tool |
Tool limitations | - No functionality for cities to input their own local data to improve the accuracy of the output - Only available for local authorities in United Kingdom |
Geographic location/countries | United Kingdom |
Language | English |
Accessibility | Free to use for United Kingdom local authorities |
Methodology | Activity data is downscaled from United Kingdom national government statistics and multiplied together with national emission factors to calculate emissions for all United Kingdom local authorities. |
Documentation of methodology | |
Data quality/verified by 3rd party | The data is not formally verified but SCATTER follows a quality assurance/quality control procedure on the inventory analysis. |
Alignment with global standards and protocols (eg GPC and CRF) | Aligned with GPC and CRF |
Emissions scopes | 1, 2 and some some Scope 3 subsectors |
GHGs | CO2, CH4, N2O |
Sectors included | Stationary energy, transport, waste, AFOLU and IPPU |
Scopes, GHGs and sectors excluded | GHGs: HFCs, PFCs, SF6, NF3. Some scope 3 emissions sources. |
Temporal resolution | Annual |
Spatial resolution | City boundary |
Functionality for city to make adjustments | No functionality for cities to input their own local emissions data. |
Latest accounting year | 2019 |
Frequency of data updates | Unknown |
Units | Metric tonnes (t CO2e) |
Using the tool, data outputs and how it can be exported | Cities can register to use the tool on the SCATTER website. From there, the pre-populated data can be exported as an excel spreadsheet in the CRF format. The output results in a baseline inventory that satisfies GCoM and is aligned with the format of the CRF. |
Additional tool functionalities | Provides additional functionalities to model carbon reduction pathways to help local authorities plan their climate action. |
SEEG is an online platform developed by Brazilian civil society initiative the Climate Observatory that provides GHG emissions data at national, regional and municipal levels in Brazil. The tool provides cities with total emissions for the agriculture, energy, land use change, industrial processes and waste sectors.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline |
Tool strengths | - Publicly available, scientifically peer-reviewed methodology - The tool also provides emissions data for states and regions - The emissions for individual cities add up to the national level emissions for Brazil, enabling cities to directly compare with neighbouring cities and assess their contribution to Brazil’s NDCl |
Tool limitations | - Not aligned with GPC or CRF - Emissions not disaggregated by scope - No functionality for cities to input their own local data to improve the accuracy of the output - Only available for cities in Brazil |
Geographic location/countries | Brazil |
Language | Portuguese |
Accessibility | Free to use |
Methodology | SEEG emissions data is generated by multiplying activity data with emission factors, based on the methodology of the Brazilian Inventories of Anthropogenic Greenhouse Gas Emissions and Removals prepared by the Ministry of Science, Technology and Innovation (MCTI). Data is sourced from government reports, institutes, research centres, sector entities and non-governmental. Emissions data is allocated down to municipal level using municipal activity data where available and national data where local data is not available. |
Documentation of methodology | |
Data quality/verified by 3rd party | To assess the quality of the methodology and the data generated by SEEG, the methodology is peer-reviewed by members of the Climate Observatory and other organisations on an annual basis. The data is also compared with the national Brazilian Inventory, published by the Ministry of Science, Technology and Innovation. There is less than 7% difference in total emissions between the two datasets. The data has been scientifically peer-reviewed. |
Alignment with global standards and protocols (eg GPC and CRF) | Not aligned with GPC or CRF |
Emissions scopes | Emissions not disaggregated by Scope |
GHGs | CO2, CH4, N2O and HFCs |
Sectors included | Stationary energy, transport, Waste, AFOLU, IPPU. |
Scopes, GHGs and sectors excluded | GHGs: PFCs, SF6, NF3. |
Temporal resolution | Annual |
Spatial resolution | City boundary |
Functionality for city to make adjustments | No functionality for cities to input their own local emissions data or to redefine their boundary. |
Latest accounting year | 2019 |
Frequency of data updates | Annual |
Units | Metric tonnes (tCO2e) |
Using the tool, data outputs and how it can be exported | SEEG’s municipality data can be accessed via the tool’s digital platform. You can search for your city using the search box or by navigating using the map. Here you can view the data directly or download the complete municipality database as an excel file. The activity data used in the calculations is also available through the platform and it is possible to access infographics about the emissions of each sector, methodological notes that explain in detail how the data collection and production are performed and an evaluation of data quality. The sectors are not aligned with the GPC or CRF so would need to be mapped against them in order to report the data against these protocols. |
Additional tool functionalities | None |
Snapshot is a collaboration between environmental consultancy Ironbark Sustainability and climate think tank Beyond Zero Emissions to develop GHG emission profiles for all municipalities and states in Australia.
Specifications | Details |
|---|---|
Suitable for which city climate journey stage? | 1. Establishing an emissions baseline |
Tool strengths | - Aligned with GPC and CRF - Publicly available methodology - Provides emissions data for states and regions as well as cities - The emissions for individual cities add up to the national level emissions for Australia enabling cities to directly compare with neighbouring cities and assess their contribution to Australia’s NDC - Key emitters' data (via Safeguard and NGERS) for large organizations predominantly in the industrial sector have been integrated, resulting in better accuracy on emissions sources |
Tool limitations | - Only available for local governments in Australia |
Geographic location/countries | Australia |
Language | English |
Accessibility | Free for summary data, pay for detailed activity and emissions data |
Methodology | Snapshot emissions data is a combination of modelled and local-sourced data. The modelled data is downscaled from global, national and state-level activity data to municipality level using relevant scaling metrics, including population, number of households and number of businesses. Local-sourced data is derived from a range of original data generator sources and converted to emissions using global, national and state-level emission factors. Other local activity data includes Distribution Network Service Providers (DNSP) data, where available. Since 2018, the tool integrates transport activity data from Google Environmental Insights Explorer for some municipalities, combining it with national datasets and converting it to emissions using conversion and emission factors. |
Documentation of methodology | Methodology publicly available at https://snapshotclimate.com.au/media/jc_media/2022/12/22/CIU_SNP_005_Methodology_v1a.pdf. |
Data quality/verified by 3rd party | Data quality is not currently assessed. Snapshot data, methodology, and calculations have been independently verified and endorsed by ICLEI Oceania, Sustainability Victoria, and Renew. |
Alignment with global standards and protocols (eg GPC and CRF) | Aligned with the GPC and CRF |
Emissions scopes | 1, 2, 3 |
GHGs | CO2, CH4, N2O |
Sectors included | Stationary energy, transport, waste, AFOLU, IPPU |
Scopes, GHGs and sectors excluded | GHGs: HFCs, PFCs, SF6, NF3. Sectors: some fugitive emissions, water-based transport, other solid waste, some AFOLU sub-sectors |
Temporal resolution | Annual |
Spatial resolution | City boundary |
Functionality for city to make adjustments | Some local data from individual municipalities has been integrated into the Snapshot emissions profiles. This is assessed on a case-by-case basis. Contact Snapshot for more information. |
Latest accounting year | 2020-2021 |
Frequency of data updates | Annual |
Units | Metric tonnes (t CO2e) |
Using the tool, data outputs and how it can be exported | Cities can view their local emissions profiles by visiting the Snapshot website. Cities can access a webpage report of their total and sectoral breakdown of emissions free of charge by searching for their municipality or state. To download a PDF version of the report, cities must sign up, free of charge, to Snapshot. Snapshot also provides the data in an excel file in CRF format. Cities need to pay to access this excel-based output. The excel output results in a baseline inventory that satisfies GCoM and is aligned with the format of the CRF. |
Additional tool functionalities | None |