Enhancing accuracy of climate mitigation pathways

New paper in Nature Climate Change: Together with Asa Watten, we show that widely used CO2 accounting methods can overstate rooftop solar mitigation by missing system interactions and substitution with non-rooftop solar. Using hourly, long-run systems modeling, we find ~41-98% lower U.S. benefits versus standard approaches. Why it matters: Better accounting improves planning, targets, and Scope 2 decisions. Rooftop solar can play key roles in broader portfolios, contributing to affordable, reliable, and secure decarbonization pathways. In a world constrained by financial and political realities, accurately characterizing mitigation potentials and market dynamics through detailed modeling becomes indispensable. Read the paper here: https://rdcu.be/eL8iE Summary: https://lnkd.in/eQ55kCdK

Use of Artificial Intelligence in Climate Change Evaluations | prepared jointly by the Adaptation Fund (AF), Climate Investment Funds (CIF), Global Environment Facility (GEF), and Green Climate Fund (GCF) This report positions #artificialintelligence (#AI) as a systemic inflection point for #climategovernance, with implications that extend across #economics, #finance, evaluation science, and institutional capacity. The global #climatefinance architecture disburses more than USD 30 billion annually, yet evaluation systems face structural constraints in measuring long-term adaptation and mitigation impacts. By embedding AI techniques—remote sensing, machine learning, natural language processing, and predictive analytics—into evaluation processes, institutions can close evidence gaps, accelerate decision-making, and improve accountability to both donors and affected communities. Quantitative findings underscore the duality of opportunity and #risk. AI-driven satellite monitoring increased deforestation detection precision by 38%, while predictive drought and flood models enhanced forecast accuracy by 27% compared to traditional baselines. Automated text analytics reduced #portfolio review timelines by 50%, enabling cross-fund synthesis at unprecedented scale. These efficiencies translate directly into financial relevance: more accurate early-warning systems could save developing economies USD 62 billion annually in avoided #climate-related losses, while improving fund allocation efficiency by an estimated 11–14%. However, systemic vulnerabilities remain: 61% of evaluation teams lack sufficient technical capacity for responsible AI deployment, less than 20% of projects embed bias-mitigation safeguards, and interoperability barriers limit the aggregation of data across AF, CIF, GEF, and GCF portfolios. These governance gaps risk entrenching inequities, especially in low-capacity regions where reliance on opaque algorithms could distort policy priorities. In summary, AI can reconfigure the global evaluation landscape by enhancing predictive power, financial accountability, and adaptive governance, but its transformative potential depends on embedding transparent standards, building institutional capabilities, and aligning technological innovation with #climate justice imperatives. The decisive challenge is not whether AI will shape climate evaluation, but whether it will do so in ways that reinforce systemic resilience rather than exacerbate structural imbalances.

🌆 🌎 As we wrap up the IPCC Special Report on Cities and Climate second-order draft, I wanted to share three new preprints our team submitted for the Mar 31 deadline. A common thread across all of these papers is something we have been thinking a lot about: how to better align emissions and mitigation analysis with the boundaries where decisions actually get made. A lot of existing work, especially modeling and future pathway analysis, defines urban areas using pixels or morphology. That can be useful, but it doesn't reflect how cities actually govern, plan, and make policy. We take a different approach by working with administrative boundaries, imperfect as they are, because they are closer to the jurisdictions through which decisions are made. A few TL;DRs from the papers: - Manya, D., Roelfsema, M., Zhang, Y., Yu, Y., Luderer, G., Weigmann, P., Hsu, A. (2026). Cities and urban areas are central to global decarbonization pathways. Pre-print: https://lnkd.in/evgmJywM. We downscale global and regional IAM pathways to urban areas and show that they're central to future decarbonization and net-negative pathways. We also evaluate more than 3,500 subnational mitigation targets and find that many city and subnational targets in G20 countries still fall short of what is needed even under current policies, let alone 2C-aligned pathways. - Robiou du Pont, Y., Manya, D., Song, K., Haarstad, H., and Hsu, A. (2026). From countries to cities: assessing climate ambition with a multi-level fair-share allocation framework. Pre-print: https://lnkd.in/eSvtfgZ4. This paper introduces the first multi-level fair-share framework for assessing city and subnational targets against 1.5C and 2C pathways using responsibility and capability principles. Our analysis suggests that many Global North cities have already exceeded their carbon budgets, pointing to the need not only for deeper local mitigation, but also for financial support to Global South cities that still retain development space. We will be making the underlying data available soon through Paris Equity Check. - Ying, Y., Manya, D., and Hsu, A. (2026). Aligning emissions with decisionmaking: estimating urban contributions to global carbon dioxide emissions. Pre-print: https://lnkd.in/evUcgpUH.  This paper tackles a long-standing question in the urban climate literature: why estimates of the urban share of global emissions vary so much. We estimate that urban jurisdictions account for roughly 72–76% of global territorial CO2 emissions in 2022, and about 82% of consumption-based CO2 emissions in 2015. We also show why pairing territorial and consumption-based accounting is essential for understanding responsibility and identifying mitigation leverage points. Thank you to my team Data-Driven EnviroLab (Diego Manya Yuetong Zhang Ying Yu, PhD) and collaborators (Mark Roelfsema Yann Robiou du Pont Gunnar Luderer + teams) for making the final push with us!

MRV is not a bureaucratic burden—it is the backbone of credible climate action. This guide, developed by UNEP Risø, provides a practical and institutional roadmap for countries aiming to design robust Measurement, Reporting, and Verification (MRV) systems that support Nationally Appropriate Mitigation Actions (NAMAs). It redefines MRV as more than a technical function—it is a mechanism for transparency, trust, and transformation, aligning national priorities with international obligations while enabling access to climate finance and fostering low-emission development. – It introduces the dual-layer MRV framework: National MRV systems for GHG inventories and policy tracking – and NAMA-specific MRV for action-level impact assessment – It outlines core MRV functions: Measurement of emissions and mitigation results – Reporting to UNFCCC and donors – and Verification through international and national processes – It details key MRV components: Baseline Definition – Emissions Estimation – Data Management Systems – Institutional Coordination – and QA/QC Procedures – It explains international alignment: BURs, National Communications, ICA process, and UNFCCC verification standards using TCCCA criteria (Transparency, Consistency, Comparability, Completeness, Accuracy) – It addresses real-world barriers and responses: Institutional fragmentation – Data gaps – Loss of expertise – Financing challenges – and Continuous Improvement protocols This is not a climate policy overview—it is a field-level operational guide for national climate agencies, M&E experts, and mitigation planners who must deliver real results under global scrutiny. Whether you are setting up an MRV unit, verifying emission reductions, or linking NAMAs to development goals, this document equips you to build a transparent, responsive, and technically sound MRV system that turns ambition into measurable progress.

🌍 Bridging Standards & Action: Why ISO Frameworks and UNDP Mitigation Pathways Are Both Essential Through my engagements with UNDP across several countries, I’ve seen firsthand how critical it is to combine technical rigor with practical, scalable implementation. Early in many assignments, aligning ISO’s structured methodologies with UNDP’s country-driven mitigation pathways proved invaluable in setting a strong foundation for climate action. I firmly believe that ISO climate mitigation standards and UNDP’s mitigation frameworks are complementary tools that, when used together, accelerate credible and effective climate action. 📌 ISO Standards: Ensuring Credibility & Comparability ISO’s climate change mitigation standards—especially the ISO 14064 series and ISO 14067—offer globally recognized frameworks for quantifying, reporting, and verifying greenhouse gas emissions. They enable transparent, consistent, and comparable GHG accounting across organizations and products, and are widely adopted in regulatory and carbon-market contexts. 📌 UNDP Mitigation Pathways: Turning Standards Into Scalable Action UNDP’s 2025 mitigation agenda emphasizes scaling proven solutions, strengthening Nationally Determined Contributions (NDCs), and mobilizing climate finance to support just energy transitions, industrial decarbonization, and accelerated deployment of climate technologies. This action-oriented approach is vital for achieving 1.5°C-aligned development. 📌 Key Takeaways on Climate Mitigation Pathways 1️⃣ Build Credible GHG Inventories Use ISO 14064’s structured methodologies to quantify and report emissions across operations and supply chains—strengthening the backbone of any mitigation strategy. 2️⃣ Combine Organization & Product-Level Decarbonization Activating both ISO 14064 (organization-wide) and ISO 14067 (product lifecycle emissions) enables a truly comprehensive mitigation approach. 3️⃣ Strengthen NDCs with Scalable Solutions UNDP highlights the need to scale clean energy transitions, industrial decarbonization, and circular economy measures to ensure stronger, more ambitious NDCs. 4️⃣ Integrate Policy, Finance & Technology UNDP’s mitigation guidance illustrates how policy reforms, climate finance mobilization, and technology deployment must work together to create system-wide climate impact. 5️⃣ Align Consistently With the 1.5°C Pathway ISO standards provide the measurement credibility, while UNDP’s frameworks provide the implementation pathways—together enabling transparent, ambitious, and science-aligned climate action. At the end, you can’t manage what you can’t measure—and you can’t scale what you don’t implement. By integrating ISO’s robust GHG accounting frameworks with UNDP’s actionable mitigation pathways, countries, organizations, and development partners can accelerate their transition to a low-carbon, climate-resilient future.