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The 2024 Electrification Data Methodology describes how Ember calculates the energy and emissions impacts of electric vehicles (EVs) and residential heat pumps. The methodology focuses on operational energy use, calculating the 'displaced' primary fossil fuel consumption and CO2 emissions by comparing the energy required for electrification technologies against the fossil fuel alternatives they replace. For transport, the model accounts for vehicle stocks, mileage decay, and charging losses. For residential heating, it utilizes final energy consumption data, boiler efficiency factors, and seasonal coefficients of performance (SCOP). The analysis covers the European Union and the United Kingdom, utilizing data from sources such as Eurostat, the IEA, and the UK Department for Transport.

The document defines key forestry terms and outlines the methodology for tracking progress toward the 2030 goals of the Glasgow Leaders’ Declaration on Forests and Land Use. It establishes a 2018-2020 baseline and a linear reduction pathway requiring a 10 percent annual reduction in loss to reach zero deforestation by 2030. The methodology covers the calculation of gross deforestation, humid tropical primary forest loss, greenhouse gas emissions, and forest degradation using the Forest Landscape Integrity Index (FLII). It also details indicators for forest restoration, including tropical moist forest regrowth and area under restoration, and biodiversity impacts via 7,025 Forested Key Biodiversity Areas (fKBAs).

The document details the methodology for tracking deforestation and scoring the corporate responses of ten major soy and cattle companies in Brazil. It describes a Tracker based on 172 cases of deforestation and conversion across the Amazon, Cerrado, and Pantanal biomes, and a Scorecard that evaluates companies on responsiveness, transparency, action, and the robustness of their Deforestation- and Conversion-Free (DCF) policies.

The document serves as a comprehensive guide to understanding and monitoring tech-facilitated gender-based violence (TFGBV). It defines various forms of digital abuse, analyzes the current media landscape, and provides a detailed manual for manual social media monitoring to identify misogyny and sexist hate speech. The toolkit aims to generate evidence for the Ecumenical Gender and Media Observatory to support advocacy with policymakers and digital platforms.

The Soy & Cattle Tracker monitors deforestation in Brazil's Amazon and Cerrado biomes, linking land conversion to major soy traders and beef packers. Using satellite alerts from DETER (INPE) and GLAD (Global Forest Watch), the system identifies high-deforestation municipalities and selects emblematic cases for analysis. Companies are scored from 0 to 100 based on the number of linked cases, total area deforested, illegal deforestation in protected areas, responsiveness, case resolution, and transparency. The tracker monitors seven soy traders (ADM, AMAGGI, Bunge, Cargill, COFCO International, LDC, and the ALZ partnership) and three beef packers (JBS, Marfrig, and Minerva), utilizing a certainty scale (High or Medium) to validate supply chain links through public documents, government data, and company responses.

The Soy & Cattle Tracker identifies deforestation and native vegetation clearance in Brazil using satellite imagery and connects these cases to the supply chains of seven major soy traders and three major meatpackers. Companies are scored out of 100 based on criteria including the number of linked cases, total hectares of clearance, possible illegal clearance, responsiveness to reports, resolution of cases, and transparency. The system utilizes data from the Rapid Response system, filtering deforestation alerts from the Brazilian National Institute for Space Research’s DETER system and World Resources Institute’s GLAD alerts to focus on the most egregious cases with strong supply chain links.

The methodology involves isolating specific federal agency lands in the contiguous US, intersecting these areas with resource suitability data from the Princeton Net Zero America Study and the Global Heat Flow Database, and applying conservative and optimistic capacity density estimates to calculate total gigawatt (GW) hosting capacity across four scenarios.

The document defines carbon-neutral demonstration zones as tools for exploring transition models and best practices for China's carbon-neutral transformation. It argues that these zones should be driven by a new economic path that promotes zero-carbon industrial innovation and reduces CO2 emissions per unit of GDP, with the goal of scaling green transformation beyond the zone's boundaries. The report uses the Meishan Carbon-Neutral Demonstration Zone as a case study to provide reference practices for other development zones.

This document describes the data collection methodology and definitions used by Ember to track national ambitions for renewable energy deployment in the power sector across 57 countries and the European Union, focusing on targets for 2030.

The Net Zero Finance Tracker (NZFT) methodology establishes a system for monitoring how financial institutions transition from climate intentions to real-world results. It employs a three-dimensional assessment framework—Targets, Implementation, and Impact—using a combination of qualitative tiered badges and quantitative metrics. The current version focuses on 553 members of the Glasgow Financial Alliance for Net Zero (GFANZ), representing USD 85 trillion in assets. The methodology emphasizes transparency, concreteness, and ambition, utilizing data from approximately 30 providers to track indicators such as mitigation targets, TCFD disclosures, and project-level clean energy financing.

The document outlines the operational framework for tracking global climate finance, defining mitigation and adaptation finance, and establishing principles to avoid double counting and carbon lock-in. It details the financial instruments captured, the classification of public and private actors, and the data sources used. Additionally, it describes the methodology for estimating annual investment needs across sectors and the framework for calculating the economic and social costs of climate inaction.

The document outlines the technical framework for certifying low-carbon buildings under the Climate Bonds Standard. It shifts the focus from energy use intensity to emissions intensity, establishing city-specific linear trajectories aimed at net-zero carbon emissions by 2050. The criteria distinguish between new and existing buildings, introducing mandatory Whole Life Carbon Assessments (WLCA) for new constructions to account for embodied carbon. It also provides a guide for Scope 3 GHG accounting across the building value chain, from manufacturers to owners and deconstruction firms.

The document outlines the technical framework for calculating the Net Zero financing gap, detailing the criteria for climate finance data collection, the sources used for needs assessments, and the regional breakdowns for investment analysis.

The document describes a six-step process to calculate the Urban Heat Island (UHI) index for U.S. cities by overlaying city boundaries, census tracts, and Land Cover Zone (LCZ) maps. The methodology involves calculating the percentage of various LCZ types within each tract and applying temperature parameters based on impervious cover, permeable surfaces, building height, albedo, and population density. City-wide values are then determined by summing the population in census tracts that exceed specific UHII temperature thresholds.

The Corporate Commitments and Emissions Explorer uses a formula-based approach to estimate corporate emissions trajectories, incorporating revenue growth, climate targets, and sectoral intensities. It offers five preset outlooks—Current, Climate-Aligned Action, Herd Catches Leaders, Laggards Catch Herd, and No Further Action—to simulate different levels of corporate ambition. The tool focuses on Scope 1 and 2 emissions, utilizing data from CDP and the Net Zero Tracker, while excluding Scope 3 emissions due to data quality and double-counting risks. Companies are categorized as ambitious, somewhat ambitious, or least ambitious based on their disclosure habits, emission intensities, and the nature of their climate commitments.

The document outlines a systemic framework for tracking climate finance in agrifood systems, expanding beyond traditional AFOLU (Agriculture, Forestry, Other Land Uses, and Fisheries) categories to include downstream agro-industries, food loss, waste, and diets. It details the methodology for estimating global annual investment needs—drawing from FOLU, UNEP, and Thornton et al.—and provides a granular breakdown of tracked project-level and company-level investments for 2019/2020. The annexes also include a corrigendum from February 2024 that significantly revises venture capital investment figures upward.

The Climate Bonds Initiative (CBI) establishes a screening process for sustainability-linked bonds (SLBs) to ensure they drive genuine decarbonisation. Inclusion requires eligible debt instruments to be self-labelled as SLBs and provide public disclosure of sustainability performance targets (SPTs). CBI assesses these targets against 1.5°C-aligned sectoral pathways from CBI, the Transition Pathway Initiative (TPI), the Science Based Targets Initiative (SBTi), and CRREM. Bonds are categorized as 'Fully-aligned', 'Strongly-aligned', 'Aligning', or 'not-aligned' based on their adherence to these pathways and the presence of comprehensive transition plans. The methodology specifically mandates scope 3 emission targets for companies selling fossil fuel products and airports.

The Climate Bonds Initiative (CBI) establishes a methodology to track Sustainability Linked Bonds (SLBs) that support decarbonization. To be included, instruments must be certifiable debt, self-labeled as SLBs or similar, and provide sufficient disclosure of Sustainability Performance Targets (SPTs). CBI assesses these targets against 1.5°C-aligned industry pathways, categorizing bonds as 'Fully-aligned', 'Strongly-aligned', or 'Aligning' based on their consistency with these paths and the presence of comprehensive transition plans. The methodology emphasizes the inclusion of material emissions (Scopes 1, 2, and 3) and utilizes both CBI-specific and third-party pathways (e.g., TPI, SBTi, CRREM) to evaluate various sectors including cement, steel, and aviation.

The report argues that the World Bank Group must shift from project-by-project 'greening' to a systemic transformation of its portfolio to support 1.5°C alignment. It proposes a strict taxonomy that excludes fossil gas and 'false solutions' like CCUS and nuclear power, while emphasizing a rights-based approach to ensure the energy transition does not burden marginalized communities or increase debt in low-income countries.

The Climate Central Temperature Attribution System (CC-TAS) version 2.0 utilizes ERA5 reanalysis data and CMIP6 models to estimate the influence of climate change on temperature events. It employs a skew-normal distribution to fit temperature data and uses the 'occurrence ratio' (OR) as its primary attribution metric. To ensure conservative results, the system averages estimates from median-scaling, quantile-scaling, and model-based methods, converting them into a categorical Climate Shift Index (CSI). A screening procedure is also implemented to mask regions where GFS forecast errors might confound attribution estimates.