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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.19277 |
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| _version_ | 1866909921419722752 |
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| author | Lancellotti, Brittany V. Malof, Jordan M. Davitt, Aaron McCormick, Gavin Anderson, Shelby Carbó-Mestre, Pol Collins, Gary Crane, Verity Doctor, Zoheyr Ebri, George Foster, Kevin Gowdy, Trey M. Guzzardi, Michael Heal, John Hunter, Heather Kroodsma, David Galib, Khandekar Mahammad Markakis, Paul J. McDonald, Gavin Moore, Daniel P. Nguyen, Eric D. Parvu, Sabina Pekala, Michael Piatko, Christine D. Piscopo, Amy Powell, Mark Raniga, Krsna Reilly, Elizabeth P. Robinette, Michael Saraswat, Ishan Sicurello, Patrick Söldner-Rembold, Isabella Song, Raymond Underwood, Charlotte Bradbury, Kyle |
| author_facet | Lancellotti, Brittany V. Malof, Jordan M. Davitt, Aaron McCormick, Gavin Anderson, Shelby Carbó-Mestre, Pol Collins, Gary Crane, Verity Doctor, Zoheyr Ebri, George Foster, Kevin Gowdy, Trey M. Guzzardi, Michael Heal, John Hunter, Heather Kroodsma, David Galib, Khandekar Mahammad Markakis, Paul J. McDonald, Gavin Moore, Daniel P. Nguyen, Eric D. Parvu, Sabina Pekala, Michael Piatko, Christine D. Piscopo, Amy Powell, Mark Raniga, Krsna Reilly, Elizabeth P. Robinette, Michael Saraswat, Ishan Sicurello, Patrick Söldner-Rembold, Isabella Song, Raymond Underwood, Charlotte Bradbury, Kyle |
| contents | Global greenhouse gas emissions estimates are essential for monitoring and mitigation planning. Yet most datasets lack one or more characteristics that enhance their actionability, such as accuracy, global coverage, high spatial and temporal resolution, and frequent updates. To address these gaps, we present Climate TRACE (climatetrace.org), an open-access platform delivering global emissions estimates with enhanced detail, coverage, and timeliness. Climate TRACE synthesizes existing emissions data, prioritizing accuracy, coverage, and resolution, and fills gaps using sector-specific estimation approaches. The dataset is the first to provide globally comprehensive emissions estimates for individual sources (e.g., individual power plants) for all anthropogenic emitting sectors. The dataset spans January 1, 2021, to the present, with a two-month reporting lag and monthly updates. The open-access platform enables non-technical audiences to engage with detailed emissions datasets for most subnational governments worldwide. Climate TRACE supports data-driven climate action at scales where decisions are made, representing a major breakthrough for emissions accounting and mitigation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_19277 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Closing Gaps in Emissions Monitoring with Climate TRACE Lancellotti, Brittany V. Malof, Jordan M. Davitt, Aaron McCormick, Gavin Anderson, Shelby Carbó-Mestre, Pol Collins, Gary Crane, Verity Doctor, Zoheyr Ebri, George Foster, Kevin Gowdy, Trey M. Guzzardi, Michael Heal, John Hunter, Heather Kroodsma, David Galib, Khandekar Mahammad Markakis, Paul J. McDonald, Gavin Moore, Daniel P. Nguyen, Eric D. Parvu, Sabina Pekala, Michael Piatko, Christine D. Piscopo, Amy Powell, Mark Raniga, Krsna Reilly, Elizabeth P. Robinette, Michael Saraswat, Ishan Sicurello, Patrick Söldner-Rembold, Isabella Song, Raymond Underwood, Charlotte Bradbury, Kyle Machine Learning Global greenhouse gas emissions estimates are essential for monitoring and mitigation planning. Yet most datasets lack one or more characteristics that enhance their actionability, such as accuracy, global coverage, high spatial and temporal resolution, and frequent updates. To address these gaps, we present Climate TRACE (climatetrace.org), an open-access platform delivering global emissions estimates with enhanced detail, coverage, and timeliness. Climate TRACE synthesizes existing emissions data, prioritizing accuracy, coverage, and resolution, and fills gaps using sector-specific estimation approaches. The dataset is the first to provide globally comprehensive emissions estimates for individual sources (e.g., individual power plants) for all anthropogenic emitting sectors. The dataset spans January 1, 2021, to the present, with a two-month reporting lag and monthly updates. The open-access platform enables non-technical audiences to engage with detailed emissions datasets for most subnational governments worldwide. Climate TRACE supports data-driven climate action at scales where decisions are made, representing a major breakthrough for emissions accounting and mitigation. |
| title | Closing Gaps in Emissions Monitoring with Climate TRACE |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2511.19277 |