March 2024 Revealing the hidden carbon in forested wetland soils DOI: 10.1038/s41467-024-44888-x Project(s): Moskal (CMS 2022) |
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March 2024 Geostationary satellite observations of extreme and transient methane emissions from oil and gas infrastructure DOI: 10.1073/pnas.2310797120 Project(s): Jacob (CMS 2020) |
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March 2024 Quantifying methane emissions from United States landfills DOI: 10.1126/science.adi7735 Project(s): Duren (CMS 2018); Cusworth (CMS 2022) |
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February 2024 Boreal-Arctic wetland methane emissions modulated by warming and vegetation activity DOI: 10.1038/s41558-024-01933-3 Project(s): Zhu (CMS 2020) |
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February 2024 Kennedy, S., C. Wade, L. Ma, H. Leslie-Bole, C. Dahl, A. Favero, A. Zhao, K. Kennedy, A. Trivedi, S. Edelstein, A. Joel Canton, A. Denvir, K. Clark-Sutton, S. Wood, G. Hurtt, and N. Hultman (2024). “Harnessing the Land Sector to Achieve U.S. Climate Goals: An all-of-society approach to meeting our climate goals and bolstering the carbon sink by 2035.” Center for Global Sustainability, University of Maryland and America Is All In. 21 pp. https://americaisallin.com/harnessing-the-land-sector Project(s): Hurtt (CMS 2020) |
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February 2024 Hurtt, G., Ma, L., Shen, Q. (2024) "Potential Pathways for Growing the Forest Carbon Sink." In Maryland's Climate Pollution Reduction Plan. Appendix Forestry and Land Use Sector Modeling. PDF Project(s): Hurtt (CMS 2020) |
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January 2024 High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale DOI: 10.1145/3589132.3625577 Project(s): Hurtt (CMS 2020) |
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January 2024 Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war DOI: 10.1038/s43247-023-01099-4 Project(s): Hurtt (CMS 2020) |
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January 2024 Global Carbon Budget 2023 DOI: 10.5194/essd-15-5301-2023 Project(s): Hurtt (CMS 2020) |
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January 2024 Assessing the methane mitigation potential of innovative management in US rice production DOI: 10.1088/1748-9326/ad0925 Project(s): Runkle (CMS 2020) |
October 2023 Upscaling Wetland Methane Emissions From the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model Development, Network Assessment, and Budget Comparison DOI: 10.1029/2023AV000956 Project(s): Zhu (CMS 2020) |
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July 2023 Observation-derived 2010-2019 trends in methane emissions and intensities from US oil and gas fields tied to activity metrics DOI: 10.1073/pnas.2217900120 Project(s): Jacob (CMS 2020) |
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July 2023 Kennedy, K. M., A. Zhao, S. J. Smith, K. O’Keefe, B. Phelps, S. Kennedy, R. Cui, C. Dahl, S. Dodds, S. Edelstein, S. Francis, E. Ghosh, G. Hurtt, D. Irani, L. Ma, Y. Ou, R. Praisa, A. Taylor, A. Trivedi, N. Wetzler, J. Williams, N. Hultman (2023) Maryland’s Climate Pathway: An analysis of actions the State can take to achieve Maryland’s nation-leading greenhouse gas emissions reduction goals. 118 pages. Center for Global Sustainability, University of Maryland. https://www.marylandsclimatepathway.com/services-7 Project(s): Hurtt (CMS 2020) |
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June 2023 An approach to estimating forest biomass while quantifying estimate uncertainty and correcting bias in machine learning maps DOI: 10.1016/j.rse.2023.113678 Project(s): Hudak (CMS 2018) |
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June 2023 Assessment of the NASA carbon monitoring system wet carbon stakeholder community: data needs, gaps, and opportunities DOI: 10.1088/1748-9326/ace208 Project(s): Poulter (CMS 2018); Mitchell (CMS 2018); Poulter (CMS 2020) |
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April 2023 Evaluating Global Atmospheric Inversions of Terrestrial Net Ecosystem Exchange CO 2 Over North America on Seasonal and Sub-Continental Scales DOI: 10.1029/2022GL100147 Project(s): Davis (CMS 2020) |
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April 2023 Changing cropland in changing climates: quantifying two decades of global cropland changes DOI: 10.1088/1748-9326/acca97 Project(s): Hurtt (CMS 2020) |