Closing Gaps in Emissions Monitoring with Climate TRACE

📅 2025-11-24
📈 Citations: 0
Influential: 0
📄 PDF

career value

175K/year
🤖 AI Summary
Existing global greenhouse gas (GHG) emission datasets suffer from low accuracy, incomplete coverage, coarse spatiotemporal resolution, and significant reporting lags—impeding effective climate monitoring and evidence-based policymaking. To address these limitations, this study develops Climate TRACE, an open-access platform that delivers facility-level, monthly, near-real-time estimates of anthropogenic emissions across all major sectors—including power generation, industry, and transportation. Leveraging multi-source data—including satellite remote sensing, ground-based measurements, and legacy inventories—the platform employs sector-specific, AI-driven models to perform dynamic gap-filling and synergistic inverse modeling. Emission estimates are published monthly starting from January 2021, with a latency of only two months, and cover subnational administrative units worldwide. The platform is designed for accessibility by non-technical users. This work substantially enhances transparency, traceability, and responsiveness in emissions monitoring, establishing a new paradigm for data-driven climate governance.

Technology Category

Application Category

📝 Abstract
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.
Problem

Research questions and friction points this paper is trying to address.

Addressing gaps in global greenhouse gas emissions monitoring
Providing comprehensive emissions estimates for all anthropogenic sectors
Enabling data-driven climate action with open-access detailed datasets
Innovation

Methods, ideas, or system contributions that make the work stand out.

Open-access platform for global emissions estimates
Sector-specific approaches fill data gaps
Provides comprehensive estimates for individual sources
🔎 Similar Papers
No similar papers found.
B
Brittany V. Lancellotti
Nicholas Institute for Energy Environment & Sustainability, Duke University, Durham, NC, USA
J
Jordan M. Malof
Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA
A
Aaron Davitt
WattTime, Oakland, CA, USA
G
Gavin McCormick
WattTime, Oakland, CA, USA
S
Shelby Anderson
Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA
P
Pol Carbó-Mestre
Marine Science Institute, University of California, Santa Barbara, Santa Barbara, CA, USA
G
Gary Collins
Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA
V
Verity Crane
TransitionZero, London, UK
Z
Zoheyr Doctor
WattTime, Oakland, CA, USA
G
George Ebri
TransitionZero, London, UK
K
Kevin Foster
Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA
T
Trey M. Gowdy
Nicholas Institute for Energy Environment & Sustainability, Duke University, Durham, NC, USA
M
Michael Guzzardi
TransitionZero, London, UK
J
John Heal
TransitionZero, London, UK
H
Heather Hunter
Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA
D
David Kroodsma
Global Fishing Watch, Washington, DC, USA
K
Khandekar Mahammad Galib
TransitionZero, London, UK
P
Paul J. Markakis
Department of Electrical and Computer Engineering, Duke University, Durham, NC
G
Gavin McDonald
Marine Science Institute, University of California, Santa Barbara, Santa Barbara, CA, USA
D
Daniel P. Moore
WattTime, Oakland, CA, USA
E
Eric D. Nguyen
WattTime, Oakland, CA, USA
S
Sabina Parvu
TransitionZero, London, UK
M
Michael Pekala
Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA
C
Christine D. Piatko
Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA
A
Amy Piscopo
WattTime, Oakland, CA, USA