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Bulletin of the American Meteorological Society 2024年第8期105卷 S1-S11页

作者： Boyer, T. Blunden, J. Dunn, R.J.H. NOAA/NESDIS National Centers for Environmental Information Silver Spring Maryland NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina Met Office Hadley Centre Exeter United Kingdom European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland Scripps Institution of Oceanography University of California San Diego La Jolla California NOAA/NWS National Centers for Environmental Prediction Climate Prediction Center College Park Maryland Brandenburg University of Technology (BTU) Cottbus-Senftenberg Germany Servicio Meteorológico Nacional Buenos Aires Argentina NOAA/OAR Physical Sciences Laboratory Boulder Colorado European Centre for Medium-Range Weather Forecasts Bonn Germany Center for Geophysical Research and School of Physics University of Costa Rica San José Costa Rica Department of Meteorology and National Centre for Earth Observation University of Reading Reading United Kingdom Centro Nacional de Monitoramento e Alertas de Desastres Naturais CEMADEN São Paulo Brazil Université Grenoble Alpes Institut des Géosciences de l’Environnement IRD CNRS Grenoble INP Grenoble France Hampton University Hampton Virginia Seychelles Meteorological Authority Mahe Seychelles Section for Glaciers Ice and Snow Norwegian Water Resources and Energy Directorate Oslo Norway National Research Institute for Agriculture Food and Environment (INRAE) CARRTEL Université Savoie Mont Blanc Thonon les Bains France Graduate School of Agriculture Osaka Metropolitan University Sakai Japan Science Faculty Universidad Nacional de Colombia Bogotá Colombia University of Bremen Bremen Germany NOAA Global Monitoring Laboratory Boulder Colorado Servicio Nacional de Meteorología e Hidrología del Perú Lima Perú Centro de Investigaciones sobre Desertificación – Spanish National Research Council (CSIC-UV-GVA) Valencia Spain Hydro-Climate Extremes Lab (H-CEL) Ghent University Ghent Belgium Department o

In 2023, La Niña conditions that generally prevailed in the eastern Pacific Ocean from mid-2020 into early 2023 gave way to a strong El Niño by October. Atmospheric concentrations of Earth’s major greenhouse gases—carbon dioxide, methane, and nitrous oxide—all increased to record-high levels. The annual global average carbon dioxide concentration in the atmosphere rose to 419.3±0.1 ppm, which is 50% greater than the pre-industrial level. The growth from 2022 to 2023 was 2.8 ppm, the fourth highest in the record since the 1960s. The combined short-term effects of El Niño and the long-term effects of increasing levels of heat-trapping gases in the atmosphere contributed to new records for many essential climate variables reported here. The annual global temperature across land and oceans was the highest in records dating as far back as 1850, with the last seven months (June–December) having each been record warm. Over land, the globally averaged temperature was also record high. Dozens of countries reported record or near-record warmth for the year, including China and continental Europe as a whole (warmest on record), India and Russia (second warmest), and Canada (third warmest). Intense and widespread heatwaves were reported around the world. In Vietnam, an all-time national maximum temperature record of 44.2°C was observed at Tuong Duong on 7 May, surpassing the previous record of 43.4°C at Huong Khe on 20 April 2019. In Brazil, the air temperature reached 44.8°C in Araçuaí in Minas Gerais on 20 November, potentially a new national record and 12.8°C above normal. The effect of rising temperatures was apparent in the cryosphere, where snow cover extent by June 2023 was the smallest in the 56-year record for North America and seventh smallest for the Northern Hemisphere overall. Heatwaves contributed to the greatest average mass balance loss for Alpine glaciers around the world since the start of the record in 1970. Due to rapid volume loss beginning in 2021, St. A

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Nontraditional Use of Biomass at Certified Forest Management Units: Forest Biomass for Energy Production and Carbon Emissions Reduction in Indonesia

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International Journal of Forestry Research 2012年第1期2012卷

作者： Asep S. Suntana Kristiina A. Vogt Eric C. Turnblom Daniel J. Vogt Ravindra S. Upadhye Forest Systems and Bio-Energy Program School of Environmental and Forest Sciences College of the Environment University of Washington P.O. Box 352100 Seattle WA 98195-2100 USAwashington.edu RMI The Indonesian Institute for Forest and Environment Jalan Sempur No. 55 Bogor 16154 Indonesia Interforest LLC Holderness NH 03245 USA Renewol LLC 63260 Overtree Road Bend OR 97701 USA Forest Biometrics Program School of Environmental and Forest Sciences College of the Environment University of Washington Box 352100 Seattle WA 98195-2100 USAwashington.edu ARU Associates Pleasanton CA 94566 USA Department of Chemical and Biomolecular Engineering University of California 201 Gilman Hall Berkeley CA 94720-1462 USA

Biomass conversion technologies that produce energy and reduce carbon emissions have become more feasible to develop. This paper analyzes the potential of converting biomass into biomethanol at forest management units experiencing three forest management practices (community-based forest management (CBFM), plantation forest (PF), and natural production forest (NPF)). Dry aboveground biomass collected varied considerably: 0.26–2.16 Mg/ha/year (CBFM), 8.08–8.35 Mg/ha/year (NPF), and 36.48–63.55 Mg/ha/year (PF). If 5% of the biomass was shifted to produce biomethanol for electricity production, the NPF and PF could provide continuous power to 138 and 2,762 households, respectively. Dedicating 5% of the biomass was not a viable option from one CBFM unit. However, if all biomasses were converted, the CBFM could provide electricity to 19–27 households. If 100% biomass from two selected PF was dedicated to biomethanol production: (1) 52,200–72,600 households could be provided electricity for one year; (2) 142–285% of the electricity demand in Jambi province could be satisfied; (3) all gasoline consumed in Jambi, in 2009, would be replaced. The net carbon emissions avoided could vary from 323 to 8,503 Mg when biomethanol was substituted for the natural gas methanol in fuel cells and from 294 to 7,730 Mg when it was used as a gasoline substitute.

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Industry Transformations for High Service Provisioning with Lower Energy and Material Demand: A Review of Models and Scenarios

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Environment and Resources 1000年第1期49卷 249-279页

作者： Dominik Wiedenhofer Jan Streeck Frauke Wiese Elena Verdolini Alessio Mastrucci Yiyi Ju Benigna Boza-Kiss Jihoon Min Jonathan Norman Hanspeter Wieland Nuno Bento María Fernanda Godoy León Leticia Magalar Andreas Mayer Simone Gingrich Ayami Hayashi Joni Jupesta Gamze Ünlü Leila Niamir Tao Cao Marianne Zanon-Zotin Barbara Plank Johan Vélez-Henao Eric Masanet Volker Krey Keigo Akimoto Arnulf Grubler Bas van Ruijven Stefan Pauliuk 1Institute of Social Ecology University of Natural Resources and Life Sciences Vienna Austria email: Dominik.Wiedenhofer@boku.ac.at 2Department for Sustainable Energy Transition Europa-Universität Flensburg Flensburg Germany 3Law Department University of Brescia Brescia Italy 4Euro-Mediterranean Center on Climate Change (CMCC Foundation) Lecce Italy 5RFF-CMCC European Institute on Economics and the Environment Milan Italy 6International Institute for Applied Systems Analysis Laxenburg Austria 7Waseda Institute for Advanced Study Tokyo Japan 8Institute for Future Initiatives University of Tokyo Tokyo Japan 9School of Earth and Environment University of Leeds Leeds United Kingdom 10University Institute of Lisbon (ISCTE) Lisbon Portugal 11Faculty of Bioscience Engineering Ghent University Ghent Belgium 12Centre for Energy and Environmental Economics (Cenergia) Energy Planning Program (PPE) COPPE Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil 13Department of Geography University of Innsbruck Innsbruck Austria 14Research Institute of Innovative Technology for the Earth Kizugawa Japan 15Institute for the Advanced Study of Sustainability United Nations University Shibuya Japan 16Copernicus Institute of Sustainable Development Utrecht University Utrecht Netherlands 17Faculty of Environment and Natural Resources University of Freiburg Freiburg Germany 18Bren School of Environmental Science and Management University of California Santa Barbara California USA 19Department of Energy and Process Engineering Norwegian University of Science and Technology Trondheim Norway

Developing transformative pathways for industry's compliance with international climate targets requires model-based insights into how supply- and demand-side measures affect industry, material cycles, global supply chains, socioeconomic activities, and service provisioning that support societal well-being. We review the recent literature modeling the industrial system in low energy and material demand futures, which mitigates environmental impacts without relying on risky future negative emissions and technological fixes. We identify 77 innovative studies drawing on nine distinct industry modeling traditions. We critically assess system definitions and scopes, biophysical and thermodynamic consistency, granularity and heterogeneity, and operationalization of demand and service provisioning. We find that combined supply- and demand-side measures could reduce current economy-wide material use by 56%, energy use by 40% to 60%, and greenhouse gas emissions by 70% to net zero. We call for strengthened interdisciplinary collaborations between industry modeling traditions and demand-side research to produce more insightful scenarios, and we discuss challenges and recommendations for this emerging field.

关键词： climate change mitigation sustainable resource use integrated assessment modeling IAM ecological economics industrial ecology

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ANTARCTICA AND THE SOUTHERN OCEAN

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BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY 2022年第8期103卷 S312-S340页

作者： Clem, K. R. Raphael, M. N. School of Geography Environment and Earth Sciences Victoria University of Wellington Wellington New Zealand Department of Geography University of California-Los Angeles Los Angeles California Scripps Institution of Oceanography University of California San Diego La Jolla California Department of Atmospheric and Oceanic Sciences University of Colorado Boulder Boulder Colorado Earth Science and Observation Center CIRES University of Colorado Boulder Colorado Argentine Naval Hydrographic Service Buenos Aires Argentina NOAA Geophysical Fluid Dynamics Laboratory Princeton University Atmospheric and Oceanic Sciences Program Princeton New Jersey and University Corporation for Atmospheric Research Boulder Colorado British Antarctic Survey Cambridge United Kingdom Science Systems and Applications Inc. Lanham Maryland and NASA Goddard Space Flight Center Greenbelt Maryland Royal Netherlands Meteorological Institute (KNMI) DeBilt Netherlands Department of Geography Ohio University Athens Ohio Department of Atmospheric and Oceanic Sciences University of Colorado Boulder Boulder Colorodo Jet Propulsion Laboratory California Institute of Technology Pasadena California NOAA/OAR Earth System Research Laboratory Global Monitoring Division and University of Colorado Boulder Boulder Colorado Department of Atmospheric and Oceanic Sciences University of Wisconsin-Madison Madison Wisconsin NASA Goddard Space Flight Center Greenbelt Maryland Department of Physical Sciences School of Arts and Sciences Madison Area Technical College and Space Science and Engineering Center University of Wisconsin-Madison Madison Wisconsin Australian Bureau of Meteorology and Institute for Marine and Antarctic Studies (IMAS) University of Tasmania Hobart Tasmania Australia NOAA Geophysical Fluid Dynamics Laboratory and Princeton University Atmospheric and Oceanic Sciences Program Princeton New Jersey Australian Antarctic Division Australian Antarctic Program Partnership (AAPP) and Austral

Antarctica and the Southern Ocean were dominated by below-average pressure and stronger than average circumpolar westerly winds through much of 2021, resulting in many new low-pressure records set across the continent. The low pressure that gripped the polar cap extended vertically through the troposphere and stratosphere and was accompanied by a persistently strong and stable polar vortex. This helped deliver the coldest winter on record to the South Pole (see Sidebar 6.1) and also helped maintain one of the longest-lived ozone holes on record (second only to the 2020 ozone hole), which did not close until 23 December. Despite the long duration of the ozone hole, its size and the minimum ozone concentrations did not reach exceptional levels, and its slow growth rate in 2021 is consistent with ongoing recovery trends. © 2022 American Meteorological Society.

关键词： Ozone

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An Open-Source Knowledge Graph Ecosystem for the Life Sciences

arXiv

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arXiv 2023年

作者： Callahan, Tiffany J. Tripodi, Ignacio J. Stefanski, Adrianne L. Cappelletti, Luca Taneja, Sanya B. Wyrwa, Jordan M. Casiraghi, Elena Matentzoglu, Nicolas A. Reese, Justin Silverstein, Jonathan C. Hoyt, Charles Tapley Boyce, Richard D. Malec, Scott A. Unni, Deepak R. Joachimiak, Marcin P. Robinson, Peter N. Mungall, Christopher J. Cavalleri, Emanuele Fontana, Tommaso Valentini, Giorgio Mesiti, Marco Gillenwater, Lucas A. Santangelo, Brook Vasilevsky, Nicole A. Hoehndorf, Robert Bennett, Tellen D. Ryan, Patrick B. Hripcsak, George Kahn, Michael G. Bada, Michael Baumgartner, William A. Hunter, Lawrence E. Computational Bioscience Program University of Colorado Anschutz Medical Campus AuroraCO80045 United States Department of Biomedical Informatics Columbia University Irving Medical Center New YorkNY10032 United States Computer Science Department Interdisciplinary Quantitative Biology University of Colorado Boulder BoulderCO80301 United States AnacletoLab Computer Science Department University of Milan 20122 Italy Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States Department of Physical Medicine and Rehabilitation School of Medicine University of Colorado Anschutz Medical Campus AuroraCO80045 United States Division of Environmental Genomics and Systems Biology Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Semanticly Ltd Athens Greece Department of Biomedical Informatics University of Pittsburgh School of Medicine PittsburghPA15206 United States Laboratory of Systems Pharmacology Harvard Medical School BostonMA02115 United States Division of Translational Informatics University of New Mexico School of Medicine AlbuquerqueNM87131 United States SIB Swiss Institute of Bioinformatics Basel Switzerland Berlin Institute of Health at Charité-Universitatsmedizin Berlin10117 Germany ELLIS European Laboratory for Learning and Intelligent Systems Germany Department of Biomedical Informatics University of Colorado School of Medicine AuroraCO80045 United States Data Collaboration Center Critical Path Institute 1840 E River Rd. Suite 100 TucsonAZ85718 United States Computer Electrical and Mathematical Sciences & Engineering Division Computational Bioscience Research Center King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Department of Pediatrics University of Colorado School of Medicine AuroraCO80045 United States Janssen Research and Development RaritanNJ08869 United States Division of General Internal Medicine University of Colorado School of Medicine A

Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowledge graphs (KGs) are used to model complex phenomena, and methods exist to construct them automatically. However, tackling complex biomedical integration problems requires flexibility in the way knowledge is modeled. Moreover, existing KG construction methods provide robust tooling at the cost of fixed or limited choices among knowledge representation models. PheKnowLator (Phenotype Knowledge Translator) is a semantic ecosystem for automating the FAIR (Findable, Accessible, Interoperable, and Reusable) construction of ontologically grounded KGs with fully customizable knowledge representation. The ecosystem includes KG construction resources (e.g., data preparation APIs), analysis tools (e.g., SPARQL endpoints and abstraction algorithms), and benchmarks (e.g., prebuilt KGs and embeddings). We evaluated the ecosystem by systematically comparing it to existing open-source KG construction methods and by analyzing its computational performance when used to construct 12 large-scale KGs. With flexible knowledge representation, PheKnowLator enables fully customizable KGs without compromising performance or usability. © 2023, CC BY.

关键词： Ecosystems

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Author Correction: Energy use and life cycle greenhouse gas emissions of drones for commercial package delivery

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Nature communications 2018年第1期9卷 1054页

作者： Joshuah K Stolaroff Constantine Samaras Emma R O'Neill Alia Lubers Alexandra S Mitchell Daniel Ceperley E Program Global Security Lawrence Livermore National Laboratory Livermore CA 94551 USA. stolaroff1@llnl.gov. Civil & Environmental Engineering Carnegie Mellon University Pittsburgh PA 15213 USA. csamaras@cmu.edu. Advanced Technology and Systems Division SRI International Menlo Park CA 94025 USA. Chemical and Biological Engineering University of Colorado at Boulder Boulder CO 80309 USA. LeoLabs Inc. PO Box 998 Menlo Park CA 94026 USA.

In the original version of this Article, the first sentence of the sixth paragraph of the "Comparing emissions" section, the Results originally incorrectly read as 'In the base case, delivery of a small (0.5 kg) package with the small quadrotor drone has lower impacts than delivery by diesel truck, ranging from a 59% reduction in GHGs in California, to a 17% reduction in Missouri'. The correct version states '54%' instead of '59%' and '23%' instead of '17%'.The fourth sentence of the same paragraph originally incorrectly read as 'In the base case, delivery of a medium-sized (8 kg) package has 17% lower GHGs than delivery by truck in California, is about equivalent to delivery trucks for the U.S. average electricity mix, but has 77% higher GHGs than truck delivery in Missouri, which has a carbon-intensive electricity grid'. The correct version states 'In the base case, delivery of a medium-sized (8 kg) package has 9% lower GHGs than delivery by truck in California, is about 24% higher than delivery trucks for the U.S. average electricity mix, and has 50% higher GHGs than truck delivery in Missouri, which has a carbon-intensive electricity *** last sentence of the seventh paragraph of the same section originally incorrectly read as 'Because of the importance of electricity used to power the octocopter, charging with low-carbon electricity of 200 g GHG/kWh can reduce delivered package GHGs by 34% compared to diesel trucks'. The correct version states '37%' instead of '34%'.These errors have been corrected in both the PDF and HTML versions of the Article.

关键词： Climate-change mitigation Energy efficiency Energy science and technology

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An atlas of dynamic chromatin landscapes in mouse fetal development (vol 583, pg 744, 2020)

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NATURE 2021年第7842期589卷 E4-E4页

作者： Gorkin, David U. Barozzi, Iros Zhao, Yuan Zhang, Yanxiao Huang, Hui Lee, Ah Young Li, Bin Chiou, Joshua Wildberg, Andre Ding, Bo Zhang, Bo Wang, Mengchi Strattan, J. Seth Davidson, Jean M. Qiu, Yunjiang Afzal, Veena Akiyama, Jennifer A. Plajzer-Frick, Ingrid Novak, Catherine S. Kato, Momoe Garvin, Tyler H. Pham, Quan T. Harrington, Anne N. Mannion, Brandon J. Lee, Elizabeth A. Fukuda-Yuzawa, Yoko He, Yupeng Preissl, Sebastian Chee, Sora Han, Jee Yun Williams, Brian A. Trout, Diane Amrhein, Henry Yang, Hongbo Cherry, J. Michael Wang, Wei Gaulton, Kyle Ecker, Joseph R. Shen, Yin Dickel, Diane E. Visel, Axel Pennacchio, Len A. Ren, Bing Ludwig Institute for Cancer Research La Jolla CA USA Center for Epigenomics University of California San Diego School of Medicine La Jolla CA USA Bioinformatics and Systems Biology Graduate Program University of California San Diego La Jolla CA USA Biomedical Sciences Graduate Program University of California San Diego School of Medicine La Jolla CA USA Department of Cellular and Molecular Medicine University of California San Diego School of Medicine La Jolla CA USA Institute of Genomic Medicine University of California San Diego School of Medicine La Jolla CA USA Moores Cancer Center University of California San Diego School of Medicine La Jolla CA USA Environmental Genomics and Systems Biology Division Lawrence Berkeley National Laboratory Berkeley CA USA Department of Surgery and Cancer Imperial College London London UK US Department of Energy Joint Genome Institute Berkeley CA USA School of Natural Sciences University of California Merced Merced CA USA Comparative Biochemistry Program University of California Berkeley Berkeley CA USA Genomic Analysis Laboratory Salk Institute for Biological Studies La Jolla CA USA Department of Pediatrics University of California San Diego School of Medicine La Jolla CA USA Department of Biochemistry and Molecular Biology Penn State School of Medicine Hershey PA USA Stanford University School of Medicine Department of Genetics Stanford CA USA Howard Hughes Medical Institute Salk Institute for Biological Studies La Jolla CA USA Division of Biology and Biological Engineering California Institute of Technology Pasadena CA USA Institute for Human Genetics and University of California San Francisco San Francisco CA USA Department of Neurology University of California San Francisco San Francisco CA USA

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Reconstructing the environmental Context of Human Origins in Eastern Africa Through Scientific Drilling

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Earth and Planetary Sciences 1000年第1期50卷 451-476页

作者： Andrew S. Cohen Christopher J. Campisano J. Ramón Arrowsmith Asfawossen Asrat Catherine C. Beck Anna K. Behrensmeyer Alan L. Deino Craig S. Feibel Verena Foerster John D. Kingston Henry F. Lamb Tim K. Lowenstein Rachel L. Lupien Veronica Muiruri Daniel O. Olago R. Bernhart Owen Richard Potts James M. Russell Frank Schaebitz Jeffery R. Stone Martin H. Trauth Chad L. Yost 1Department of Geosciences University of Arizona Tucson Arizona USA email: cohen@email.arizona.edu 2Institute of Human Origins School of Human Evolution and Social Change Arizona State University Tempe Arizona USA 3School of Earth and Space Exploration Arizona State University Tempe Arizona USA 5School of Earth Science Addis Ababa University Addis Ababa Ethiopia 4Department of Mining and Geological Engineering Botswana International University of Science and Technology Palapye Botswana 6Geosciences Department Hamilton College Clinton New York USA 7National Museum of Natural History Smithsonian Institution Washington DC USA 8Berkeley Geochronology Center Berkeley California USA 9Department of Earth and Planetary Sciences Rutgers University Piscataway New Jersey USA 10Institute of Geography Education University of Cologne Cologne Germany 11Department of Anthropology University of Michigan Ann Arbor Michigan USA 13Botany Department School of Natural Sciences Trinity College Dublin Ireland 12Department of Geography and Earth Science Aberystwyth University Aberystwyth United Kingdom 14Department of Geological Sciences and Environmental Studies Binghamton University Binghamton New York USA 15Lamont-Doherty Earth Observatory Columbia University Pallisades New York USA 16National Museums of Kenya Nairobi Kenya 17Department of Geology University of Nairobi Nairobi Kenya 18Department of Geography Hong Kong Baptist University Hong Kong 19Human Origins Program National Museum of Natural History Smithsonian Institution Washington DC USA 20Department of Earth Environmental and Planetary Sciences Brown University Providence Rhode Island USA 21Department of Earth and Environmental Systems Indiana State University Terre Haute Indiana USA 22Department of Geosciences University of Potsdam Potsdam Germany

Paleoanthropologists have long speculated about the role of environmental change in shaping human evolution in Africa. In recent years, drill cores of late Neogene lacustrine sedimentary rocks have yielded valuable high-resolution records of climatic and ecosystem change. Eastern African Rift sediments (primarily lake beds) provide an extraordinary range of data in close proximity to important fossil hominin and archaeological sites, allowing critical study of hypotheses that connect environmental history and hominin evolution. We review recent drill-core studies spanning the Plio–Pleistocene boundary (an interval of hominin diversification, including the earliest members of our genus Homo and the oldest stone tools), and the Mid–Upper Pleistocene (spanning the origin of Homo sapiens in Africa and our early technological and dispersal history). Proposed drilling of Africa's oldest lakes promises to extend such records back to the late Miocene. ▪ High-resolution paleoenvironmental records are critical for understanding external drivers of human evolution. ▪ African lake basin drill cores play a critical role in enhancing hominin paleoenvironmental records given their continuity and proximity to key paleoanthropological sites. ▪ The oldest African lakes have the potential to reveal a comprehensive paleoenvironmental context for the entire late Neogene history of hominin evolution.

关键词： continental scientific drilling human evolution East African Rift paleoclimate

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The 2021 report of the Lancet Countdown on health and climate change: code red for a healthy future

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The Lancet 2021年第10311期398卷 1619-1662页

作者： Romanello, Marina McGushin, Alice Di Napoli, Claudia Drummond, Paul Hughes, Nick Jamart, Louis Kennard, Harry Lampard, Pete Solano Rodriguez, Baltazar Arnell, Nigel Ayeb-Karlsson, Sonja Belesova, Kristine Cai, Wenjia Campbell-Lendrum, Diarmid Capstick, Stuart Chambers, Jonathan Chu, Lingzhi Ciampi, Luisa Dalin, Carole Dasandi, Niheer Dasgupta, Shouro Davies, Michael Dominguez-Salas, Paula Dubrow, Robert Ebi, Kristie L Eckelman, Matthew Ekins, Paul Escobar, Luis E Georgeson, Lucien Grace, Delia Graham, Hilary Gunther, Samuel H Hartinger, Stella He, Kehan Heaviside, Clare Hess, Jeremy Hsu, Shih-Che Jankin, Slava Jimenez, Marcia P Kelman, Ilan Kiesewetter, Gregor Kinney, Patrick L Kjellstrom, Tord Kniveton, Dominic Lee, Jason K W Lemke, Bruno Liu, Yang Liu, Zhao Lott, Melissa Lowe, Rachel Martinez-Urtaza, Jaime Maslin, Mark McAllister, Lucy McMichael, Celia Mi, Zhifu Milner, James Minor, Kelton Mohajeri, Nahid Moradi-Lakeh, Maziar Morrissey, Karyn Munzert, Simon Murray, Kris A Neville, Tara Nilsson, Maria Obradovich, Nick Sewe, Maquins Odhiambo Oreszczyn, Tadj Otto, Matthias Owfi, Fereidoon Pearman, Olivia Pencheon, David Rabbaniha, Mahnaz Robinson, Elizabeth Rocklöv, Joacim Salas, Renee N Semenza, Jan C Sherman, Jodi Shi, Liuhua Springmann, Marco Tabatabaei, Meisam Taylor, Jonathon Trinanes, Joaquin Shumake-Guillemot, Joy Vu, Bryan Wagner, Fabian Wilkinson, Paul Winning, Matthew Yglesias, Marisol Zhang, Shihui Gong, Peng Montgomery, Hugh Costello, Anthony Hamilton, Ian Institute for Global Health University College London London UK United Kingdom Institute for Sustainable Resources University College London London UK United Kingdom UCL Energy Institute University College London London UK United Kingdom Institute for Environmental Design and Engineering University College London London UK United Kingdom Department of Geography University College London London UK United Kingdom The Bartlett School of Sustainable Construction University College London London UK United Kingdom Centre for Human Health and Performance University College London London UK United Kingdom School of Agriculture Policy and Development University of Reading Reading United Kingdom Department of Meteorology University of Reading Reading United Kingdom The Walker Institute University of Reading Reading United Kingdom Department of Health Sciences University of York York United Kingdom Institute for Environment and Human Security United Nations University Bonn Germany Centre on Climate Change and Planetary Health London School of Hygiene & Tropical Medicine London UK United Kingdom Centre for Mathematical Modelling of Infectious Diseases London School of Hygiene & Tropical Medicine London UK United Kingdom Department of Public Health Environments and Society London School of Hygiene & Tropical Medicine London UK United Kingdom Department of Earth System Science Tsinghua University Beijing China Department of Environment Climate Change and Health World Health Organization Geneva Switzerland Institute for Environmental Sciences World Health Organization Geneva Switzerland Centre for Climate Change and Social Transformations School of Psychology Cardiff University Cardiff United Kingdom Yale Center on Climate Change and Health Yale University New Haven CT United States School of Government University of Birmingham Birmingham United Kingdom Economic analysis of Climate Impacts and Policy Centro Euro-Mediterraneo sui Cambiamenti Climatic

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Cover Picture: Non-Thermal Plasma Assisted Fabrication of Ultrathin NiCoOxNanosheets for High-Performance Supercapacitor (Batteries & Supercaps 11/2022)

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Batteries & Supercaps 2022年第11期5卷

作者： Dr. Birhanu Bayissa Gicha Dr. Lemma Teshome Tufa Mahendra Goddati Dr. Samir Adhikari Juyoung Gwak Prof. Jaebeom Lee Department of Chemistry Chungnam National University Daejeon 34134 Republic of Korea Environmental Science Program Haramaya University Dire Dawa 138 Ethiopia Research Institute of Materials Chemistry Chungnam National University Daejeon 34134 Republic of Korea Department of Applied Chemistry Adama Science and Technology University P.O. Box 1888 Adama Ethiopia Department of Chemical Engineering and Applied Chemistry Chungnam National University Daejeon 34134 Republic of Korea Institute of Quantum Systems Chungnam National University Daejeon 34134 Republic of Korea

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