Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3551-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-3551-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
26 Jul 2021
Data description paper |
| 26 Jul 2021
| 26 Jul 2021
Global Covenant of Mayors, a dataset of greenhouse gas emissions for 6200 cities in Europe and the Southern Mediterranean countries
Albana Kona
Joint Research Centre, European Commission, Ispra, Italy
Fabio Monforti-Ferrario
CORRESPONDING AUTHOR
Joint Research Centre, European Commission, Ispra, Italy
Paolo Bertoldi
Joint Research Centre, European Commission, Ispra, Italy
Marta Giulia Baldi
Joint Research Centre, European Commission, Ispra, Italy
Georgia Kakoulaki
Joint Research Centre, European Commission, Ispra, Italy
Nadja Vetters
Joint Research Centre, European Commission, Ispra, Italy
Christian Thiel
Joint Research Centre, European Commission, Ispra, Italy
Giulia Melica
Joint Research Centre, European Commission, Ispra, Italy
Eleonora Lo Vullo
Joint Research Centre, European Commission, Ispra, Italy
Alessandra Sgobbi
Directorate-General for Climate Action, European Commission, Brussels, Belgium
Christofer Ahlgren
Directorate-General for Climate Action, European Commission, Brussels, Belgium
Brieuc Posnic
Directorate-General for Energy, European Commission, Brussels, Belgium
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 953–958, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-953-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-953-2023, 2023
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Short summary
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The Covenant of Mayors initiative, currently counting 6185 local authorities, representing almost 32% of the population of the European Union, is now gathering the largest collection of local inventories built on a common methodology, on final energy consumption and associated greenhouse gases emissions. The paper presents a sample of 919 inventories, checked for scientific robustness and consistency with implied emissions factors, enriched with the mitigation actions of the local action plans.
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This study responds to the global and regional atmospheric modelling community's need for a mosaic of air pollutant emissions with global coverage, long time series, spatially distributed data at a high time resolution, and a high sectoral resolution in order to enhance the understanding of transboundary air pollution. The mosaic approach to integrating official regional emission inventories with a global inventory based on a consistent methodology ensures policy-relevant results.
M. Di Leo, M. Minghini, A. Kona, N. Spadaro, A. Kotsev, J. Dusart, S. Lumnitz, C. M. Ilie, C. E. Kilsedar, and A. Tzotsos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W7-2023, 33–40, https://doi.org/10.5194/isprs-archives-XLVIII-4-W7-2023-33-2023, https://doi.org/10.5194/isprs-archives-XLVIII-4-W7-2023-33-2023, 2023
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essdd-8-461-2015, https://doi.org/10.5194/essdd-8-461-2015, 2015
Preprint withdrawn
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Fei Pan, Xiaodan Wu, Rongqi Tang, Qicheng Zeng, Zheng Li, Jingping Wang, Dongqin You, Jianguang Wen, and Qing Xiao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-220, https://doi.org/10.5194/essd-2023-220, 2023
Revised manuscript accepted for ESSD
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-186, https://doi.org/10.5194/essd-2023-186, 2023
Revised manuscript accepted for ESSD
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Monica Crippa, Diego Guizzardi, Tim Butler, Terry Keating, Rosa Wu, Jacek Kaminski, Jeroen Kuenen, Junichi Kurokawa, Satoru Chatani, Tazuko Morikawa, George Pouliot, Jacinthe Racine, Michael D. Moran, Zbigniew Klimont, Patrick M. Manseau, Rabab Mashayekhi, Barron H. Henderson, Steven J. Smith, Harrison Suchyta, Marilena Muntean, Efisio Solazzo, Manjola Banja, Edwin Schaaf, Federico Pagani, Jung-Hun Woo, Jinseok Kim, Fabio Monforti-Ferrario, Enrico Pisoni, Junhua Zhang, David Niemi, Mourad Sassi, Tabish Ansari, and Kristen Foley
Earth Syst. Sci. Data, 15, 2667–2694, https://doi.org/10.5194/essd-15-2667-2023, https://doi.org/10.5194/essd-15-2667-2023, 2023
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This study responds to the global and regional atmospheric modelling community's need for a mosaic of air pollutant emissions with global coverage, long time series, spatially distributed data at a high time resolution, and a high sectoral resolution in order to enhance the understanding of transboundary air pollution. The mosaic approach to integrating official regional emission inventories with a global inventory based on a consistent methodology ensures policy-relevant results.
Ruben Urraca, Greet Janssens-Maenhout, Nicolás Álamos, Lucas Berna-Peña, Monica Crippa, Sabine Darras, Sitjn Dellaert, Hugo Denier van der Gon, Mark Dowell, Nadine Gobron, Claire Granier, Giacomo Grassi, Marc Guevara, Diego Guizzardi, Kevin Gurney, Nicolás Huneeus, Sekou Keita, Jeoren Kuenen, Ana Lopez-Noreña, Enrique Puliafito, Geoffrey Roest, Simone Rossi, Antonin Soulie, and Antoon Visschedijk
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-210, https://doi.org/10.5194/essd-2023-210, 2023
Revised manuscript accepted for ESSD
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Piers M. Forster, Christopher J. Smith, Tristram Walsh, William F. Lamb, Robin Lamboll, Mathias Hauser, Aurélien Ribes, Debbie Rosen, Nathan Gillett, Matthew D. Palmer, Joeri Rogelj, Karina von Schuckmann, Sonia I. Seneviratne, Blair Trewin, Xuebin Zhang, Myles Allen, Robbie Andrew, Arlene Birt, Alex Borger, Tim Boyer, Jiddu A. Broersma, Lijing Cheng, Frank Dentener, Pierre Friedlingstein, José M. Gutiérrez, Johannes Gütschow, Bradley Hall, Masayoshi Ishii, Stuart Jenkins, Xin Lan, June-Yi Lee, Colin Morice, Christopher Kadow, John Kennedy, Rachel Killick, Jan C. Minx, Vaishali Naik, Glen P. Peters, Anna Pirani, Julia Pongratz, Carl-Friedrich Schleussner, Sophie Szopa, Peter Thorne, Robert Rohde, Maisa Rojas Corradi, Dominik Schumacher, Russell Vose, Kirsten Zickfeld, Valérie Masson-Delmotte, and Panmao Zhai
Earth Syst. Sci. Data, 15, 2295–2327, https://doi.org/10.5194/essd-15-2295-2023, https://doi.org/10.5194/essd-15-2295-2023, 2023
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Shengyue Li, Shuxiao Wang, Qingru Wu, Yanning Zhang, Daiwei Ouyang, Haotian Zheng, Licong Han, Xionghui Qiu, Yifan Wen, Min Liu, Yueqi Jiang, Dejia Yin, Kaiyun Liu, Bin Zhao, Shaojun Zhang, Ye Wu, and Jiming Hao
Earth Syst. Sci. Data, 15, 2279–2294, https://doi.org/10.5194/essd-15-2279-2023, https://doi.org/10.5194/essd-15-2279-2023, 2023
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This study compiled China's emission inventory of air pollutants and CO2 during 2005–2021 (ABaCAS-EI v2.0) based on unified emission-source framework. The emission trends and its drivers are analyzed. Key sectors and regions with higher synergistic reduction potential of air pollutants and CO2 are identified. Future control measures are suggested. The dataset and analyses provide insights into the synergistic reduction of air pollutants and CO2 emissions for China and other developing countries.
Alessandro Flammini, Hanif Adzmir, Kevin Karl, and Francesco Nicola Tubiello
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This paper estimates the share of greenhouse gas (GHG) emissions attributable to non-renewable wood fuel harvesting for use in residential food-related activities. It adds to a growing research base estimating GHG emissions from across the entire agri-food value chain and contributes to the development of the FAOSTAT climate change domain.
Susann Günther, Tom Karras, Friederike Naegeli de Torres, Sebastian Semella, and Daniela Thrän
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-179, https://doi.org/10.5194/essd-2023-179, 2023
Revised manuscript accepted for ESSD
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The following study has been undertaken to provide a continuous open access data set for 2010–2020 from country to local level. In order to understand the reliability of the final data set and to enable further use, the modelled data were validated against statistics, which is a novelty in this field. The data set has shown to be in good agreement with the statistical data. Biomass potentials modelled in this study are published in an open access database.
Wouter B. Mol, Wouter H. Knap, and Chiel C. van Heerwaarden
Earth Syst. Sci. Data, 15, 2139–2151, https://doi.org/10.5194/essd-15-2139-2023, https://doi.org/10.5194/essd-15-2139-2023, 2023
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We describe a dataset of detailed measurements of sunlight reaching the surface, recorded at a rate of one measurement per second for 10 years. The dataset includes detailed information on direct and scattered sunlight; classifications and statistics of variability; and observations of clouds, atmospheric composition, and wind. The dataset can be used to study how the atmosphere influences sunlight variability and to validate models that aim to predict this variability with greater accuracy.
Jie Chen, Qiancheng Lv, Shuang Wu, Yelu Zeng, Manchun Li, Ziyue Chen, Enze Zhou, Wei Zheng, Cheng Liu, Xiao Chen, Jing Yang, and Bingbo Gao
Earth Syst. Sci. Data, 15, 1911–1931, https://doi.org/10.5194/essd-15-1911-2023, https://doi.org/10.5194/essd-15-1911-2023, 2023
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The Himawari-8 fire product is the mainstream fire product with the highest temporal resolution, yet it presents large uncertainties and is not suitable for reliable real-time fire monitoring in China. To address this issue, we proposed an adaptive hourly NSMC (National Satellite Meteorological Center) Himawari-8 fire product for China; the overall accuracy increased from 54 % (original Himawari product) to 80 %. This product can largely enhance real-time fire monitoring and relevant research.
Karina von Schuckmann, Audrey Minière, Flora Gues, Francisco José Cuesta-Valero, Gottfried Kirchengast, Susheel Adusumilli, Fiammetta Straneo, Michaël Ablain, Richard P. Allan, Paul M. Barker, Hugo Beltrami, Alejandro Blazquez, Tim Boyer, Lijing Cheng, John Church, Damien Desbruyeres, Han Dolman, Catia M. Domingues, Almudena García-García, Donata Giglio, John E. Gilson, Maximilian Gorfer, Leopold Haimberger, Maria Z. Hakuba, Stefan Hendricks, Shigeki Hosoda, Gregory C. Johnson, Rachel Killick, Brian King, Nicolas Kolodziejczyk, Anton Korosov, Gerhard Krinner, Mikael Kuusela, Felix W. Landerer, Moritz Langer, Thomas Lavergne, Isobel Lawrence, Yuehua Li, John Lyman, Florence Marti, Ben Marzeion, Michael Mayer, Andrew H. MacDougall, Trevor McDougall, Didier Paolo Monselesan, Jan Nitzbon, Inès Otosaka, Jian Peng, Sarah Purkey, Dean Roemmich, Kanako Sato, Katsunari Sato, Abhishek Savita, Axel Schweiger, Andrew Shepherd, Sonia I. Seneviratne, Leon Simons, Donald A. Slater, Thomas Slater, Andrea K. Steiner, Toshio Suga, Tanguy Szekely, Wim Thiery, Mary-Louise Timmermans, Inne Vanderkelen, Susan E. Wjiffels, Tonghua Wu, and Michael Zemp
Earth Syst. Sci. Data, 15, 1675–1709, https://doi.org/10.5194/essd-15-1675-2023, https://doi.org/10.5194/essd-15-1675-2023, 2023
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Earth's climate is out of energy balance, and this study quantifies how much heat has consequently accumulated over the past decades (ocean: 89 %, land: 6 %, cryosphere: 4 %, atmosphere: 1 %). Since 1971, this accumulated heat reached record values at an increasing pace. The Earth heat inventory provides a comprehensive view on the status and expectation of global warming, and we call for an implementation of this global climate indicator into the Paris Agreement’s Global Stocktake.
Marc Guevara, Santiago Enciso, Carles Tena, Oriol Jorba, Stijn Dellaert, Hugo Denier van der Gon, and Carlos Pérez García-Pando
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-95, https://doi.org/10.5194/essd-2023-95, 2023
Revised manuscript accepted for ESSD
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A global dataset of emissions from thermal power plants was created for the year 2018. The resulting catalogue reports annual emissions of CO2 and co-emitted species (NOx, CO, SO2 and CH4) for more than 16000 individual facilities at their exact geographical location. Information on the temporal and vertical distribution of the emissions is also provided at the facility level. The dataset is intended to support current and future satellite emission monitoring and inverse modelling efforts.
Ruohan Li, Dongdong Wang, Weile Wang, and Ramakrishna Nemani
Earth Syst. Sci. Data, 15, 1419–1436, https://doi.org/10.5194/essd-15-1419-2023, https://doi.org/10.5194/essd-15-1419-2023, 2023
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There has been an increasing need for high-spatiotemporal-resolution surface downward shortwave radiation (DSR) and photosynthetically active radiation (PAR) data for ecological, hydrological, carbon, and solar photovoltaic research. This study produced a new 1 km hourly product of land surface DSR and PAR from the enhanced GeoNEX new-generation geostationary data. Our validation indicated that the GeoNEX DSR and PAR product has a higher accuracy than other existing products.
Nadine Borduas-Dedekind, Karen C. Short, and Samuel P. Carlson
Earth Syst. Sci. Data, 15, 1437–1440, https://doi.org/10.5194/essd-15-1437-2023, https://doi.org/10.5194/essd-15-1437-2023, 2023
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This article describes the use of the open-discussion manuscript review process as an educational exercise for early career scientists.
Can Cui, Shuping Li, Weichen Zhao, Binyuan Liu, Yuli Shan, and Dabo Guan
Earth Syst. Sci. Data, 15, 1317–1328, https://doi.org/10.5194/essd-15-1317-2023, https://doi.org/10.5194/essd-15-1317-2023, 2023
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Emerging economies face challenges regarding net-zero targets: inconsistencies in accounting calibers, missing raw data, non-transparent accounting methods, and a lack of detail about emissions. The authors established an accounting framework and compiled detailed inventories of energy-related CO2 emissions in 40 emerging economies, covering 47 sectors and eight energy types. The dataset will support emission reduction policymaking at global, national, and subnational levels.
Ana Maria Roxana Petrescu, Chunjing Qiu, Matthew J. McGrath, Philippe Peylin, Glen P. Peters, Philippe Ciais, Rona L. Thompson, Aki Tsuruta, Dominik Brunner, Matthias Kuhnert, Bradley Matthews, Paul I. Palmer, Oksana Tarasova, Pierre Regnier, Ronny Lauerwald, David Bastviken, Lena Höglund-Isaksson, Wilfried Winiwarter, Giuseppe Etiope, Tuula Aalto, Gianpaolo Balsamo, Vladislav Bastrikov, Antoine Berchet, Patrick Brockmann, Giancarlo Ciotoli, Giulia Conchedda, Monica Crippa, Frank Dentener, Christine D. Groot Zwaaftink, Diego Guizzardi, Dirk Günther, Jean-Matthieu Haussaire, Sander Houweling, Greet Janssens-Maenhout, Massaer Kouyate, Adrian Leip, Antti Leppänen, Emanuele Lugato, Manon Maisonnier, Alistair J. Manning, Tiina Markkanen, Joe McNorton, Marilena Muntean, Gabriel D. Oreggioni, Prabir K. Patra, Lucia Perugini, Isabelle Pison, Maarit T. Raivonen, Marielle Saunois, Arjo J. Segers, Pete Smith, Efisio Solazzo, Hanqin Tian, Francesco N. Tubiello, Timo Vesala, Guido R. van der Werf, Chris Wilson, and Sönke Zaehle
Earth Syst. Sci. Data, 15, 1197–1268, https://doi.org/10.5194/essd-15-1197-2023, https://doi.org/10.5194/essd-15-1197-2023, 2023
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This study updates the state-of-the-art scientific overview of CH4 and N2O emissions in the EU27 and UK in Petrescu et al. (2021a). Yearly updates are needed to improve the different respective approaches and to inform on the development of formal verification systems. It integrates the most recent emission inventories, process-based model and regional/global inversions, comparing them with UNFCCC national GHG inventories, in support to policy to facilitate real-time verification procedures.
Chuanlong Zhou, Biqing Zhu, Steven J. Davis, Zhu Liu, Antoine Halff, Simon Ben Arous, Hugo de Almeida Rodrigues, and Philippe Ciais
Earth Syst. Sci. Data, 15, 949–961, https://doi.org/10.5194/essd-15-949-2023, https://doi.org/10.5194/essd-15-949-2023, 2023
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Our work aims to analyze sectoral and country-based daily natural gas supply–storage–consumption based on ENTSOG, Eurostat, and multiple datasets in the EU27 and UK. We estimated the magnitude of the Russian gas gap if Russian gas imports were to stop as well as potential short-term solutions to fill this gap. Our datasets could be important in various fields, such as gas/energy consumption and market modeling, carbon emission and climate change research, and policy decision-making.
Akash Biswal, Vikas Singh, Leeza Malik, Geetam Tiwari, Khaiwal Ravindra, and Suman Mor
Earth Syst. Sci. Data, 15, 661–680, https://doi.org/10.5194/essd-15-661-2023, https://doi.org/10.5194/essd-15-661-2023, 2023
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This paper presents detailed emission estimates of on-road traffic exhaust emissions of nine major pollutants for Delhi. We use advanced traffic data and emission factors as a function of speed to estimate emissions for each hour and 100 m × 100 m spatial resolution. We examine the source contribution according to the vehicle, fuel, road and Euro types to identify the most polluting vehicles. These data are useful for high-resolution air quality modelling for developing suitable strategies.
Auke M. van der Woude, Remco de Kok, Naomi Smith, Ingrid T. Luijkx, Santiago Botía, Ute Karstens, Linda M. J. Kooijmans, Gerbrand Koren, Harro A. J. Meijer, Gert-Jan Steeneveld, Ida Storm, Ingrid Super, Hubertus A. Scheeren, Alex Vermeulen, and Wouter Peters
Earth Syst. Sci. Data, 15, 579–605, https://doi.org/10.5194/essd-15-579-2023, https://doi.org/10.5194/essd-15-579-2023, 2023
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To monitor the progress towards the CO2 emission goals set out in the Paris Agreement, the European Union requires an independent validation of emitted CO2. For this validation, atmospheric measurements of CO2 can be used, together with first-guess estimates of CO2 emissions and uptake. To quickly inform end users, it is imperative that this happens in near real-time. To aid these efforts, we create estimates of European CO2 exchange at high resolution in near real time.
David F. Pollard, Frank Hase, Mahesh Kumar Sha, Darko Dubravica, Carlos Alberti, and Dan Smale
Earth Syst. Sci. Data, 14, 5427–5437, https://doi.org/10.5194/essd-14-5427-2022, https://doi.org/10.5194/essd-14-5427-2022, 2022
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We describe measurements made in Antarctica using an EM27/SUN, a near-infrared, portable, low-resolution spectrometer from which we can retrieve the average atmospheric concentration of several greenhouse gases. We show that these measurements are reliable and comparable to other, similar ground-based measurements. Comparisons to the ESA's Sentinel-5 precursor (S5P) satellite demonstrate the usefulness of these data for satellite validation.
Giacomo Grassi, Giulia Conchedda, Sandro Federici, Raul Abad Viñas, Anu Korosuo, Joana Melo, Simone Rossi, Marieke Sandker, Zoltan Somogyi, Matteo Vizzarri, and Francesco N. Tubiello
Earth Syst. Sci. Data, 14, 4643–4666, https://doi.org/10.5194/essd-14-4643-2022, https://doi.org/10.5194/essd-14-4643-2022, 2022
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Despite increasing attention on the role of land use CO2 fluxes in climate change mitigation, there are large differences in available databases. Here we present the most updated and complete compilation of land use CO2 data based on country submissions to United Nations Framework Convention on Climate Change and explain differences with other datasets. Our dataset brings clarity of land use CO2 fluxes and helps track country progress under the Paris Agreement.
Thorsten Hoeser, Stefanie Feuerstein, and Claudia Kuenzer
Earth Syst. Sci. Data, 14, 4251–4270, https://doi.org/10.5194/essd-14-4251-2022, https://doi.org/10.5194/essd-14-4251-2022, 2022
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The DeepOWT (Deep-learning-derived Offshore Wind Turbines) data set provides offshore wind energy infrastructure locations and their temporal deployment dynamics from July 2016 until June 2021 on a global scale. It differentiates between offshore wind turbines, platforms under construction, and offshore wind farm substations. It is derived by applying deep-learning-based object detection to Sentinel-1 imagery.
Jing M. Chen, Rong Wang, Yihong Liu, Liming He, Holly Croft, Xiangzhong Luo, Han Wang, Nicholas G. Smith, Trevor F. Keenan, I. Colin Prentice, Yongguang Zhang, Weimin Ju, and Ning Dong
Earth Syst. Sci. Data, 14, 4077–4093, https://doi.org/10.5194/essd-14-4077-2022, https://doi.org/10.5194/essd-14-4077-2022, 2022
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Green leaves contain chlorophyll pigments that harvest light for photosynthesis and also emit chlorophyll fluorescence as a byproduct. Both chlorophyll pigments and fluorescence can be measured by Earth-orbiting satellite sensors. Here we demonstrate that leaf photosynthetic capacity can be reliably derived globally using these measurements. This new satellite-based information overcomes a bottleneck in global ecological research where such spatially explicit information is currently lacking.
Xunhe Zhang, Ming Xu, Shujian Wang, Yongkai Huang, and Zunyi Xie
Earth Syst. Sci. Data, 14, 3743–3755, https://doi.org/10.5194/essd-14-3743-2022, https://doi.org/10.5194/essd-14-3743-2022, 2022
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Photovoltaic (PV) power plants have been increasingly built across the world to mitigate climate change. A map of the PV power plants is important for policy management and environmental assessment. We established a map of PV power plants in China by 2020, covering a total area of 2917 km2. Based on the derived map, we found that most PV power plants were situated on cropland. In addition, the installation of PV power plants has generally decreased the vegetation cover.
Pierre Friedlingstein, Matthew W. Jones, Michael O'Sullivan, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Corinne Le Quéré, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Rob B. Jackson, Simone R. Alin, Peter Anthoni, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Laurent Bopp, Thi Tuyet Trang Chau, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Kim I. Currie, Bertrand Decharme, Laique M. Djeutchouang, Xinyu Dou, Wiley Evans, Richard A. Feely, Liang Feng, Thomas Gasser, Dennis Gilfillan, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Ingrid T. Luijkx, Atul Jain, Steve D. Jones, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Arne Körtzinger, Peter Landschützer, Siv K. Lauvset, Nathalie Lefèvre, Sebastian Lienert, Junjie Liu, Gregg Marland, Patrick C. McGuire, Joe R. Melton, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Tsuneo Ono, Denis Pierrot, Benjamin Poulter, Gregor Rehder, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Thais M. Rosan, Jörg Schwinger, Clemens Schwingshackl, Roland Séférian, Adrienne J. Sutton, Colm Sweeney, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Francesco Tubiello, Guido R. van der Werf, Nicolas Vuichard, Chisato Wada, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, and Jiye Zeng
Earth Syst. Sci. Data, 14, 1917–2005, https://doi.org/10.5194/essd-14-1917-2022, https://doi.org/10.5194/essd-14-1917-2022, 2022
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The Global Carbon Budget 2021 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Francesco N. Tubiello, Kevin Karl, Alessandro Flammini, Johannes Gütschow, Griffiths Obli-Laryea, Giulia Conchedda, Xueyao Pan, Sally Yue Qi, Hörn Halldórudóttir Heiðarsdóttir, Nathan Wanner, Roberta Quadrelli, Leonardo Rocha Souza, Philippe Benoit, Matthew Hayek, David Sandalow, Erik Mencos Contreras, Cynthia Rosenzweig, Jose Rosero Moncayo, Piero Conforti, and Maximo Torero
Earth Syst. Sci. Data, 14, 1795–1809, https://doi.org/10.5194/essd-14-1795-2022, https://doi.org/10.5194/essd-14-1795-2022, 2022
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The paper presents results from the new FAOSTAT database on food system emissions, covering all countries over the time series 1990–2019. Results indicate and further clarify – updated to 2019 – the relevance of emissions from crop and livestock production processes within the farm gate; from conversion of natural ecosystems to agriculture, such as deforestation and peat degradation; and from use of fossil fuels for energy and other industrial processes along food supply chains.
Mauricio Osses, Néstor Rojas, Cecilia Ibarra, Víctor Valdebenito, Ignacio Laengle, Nicolás Pantoja, Darío Osses, Kevin Basoa, Sebastián Tolvett, Nicolás Huneeus, Laura Gallardo, and Benjamín Gómez
Earth Syst. Sci. Data, 14, 1359–1376, https://doi.org/10.5194/essd-14-1359-2022, https://doi.org/10.5194/essd-14-1359-2022, 2022
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This paper presents a detailed estimate of on-road vehicle emissions for Chile, between 1990–2020, and an analysis of emission trends for greenhouse gases and local pollutants. Data are disaggregated by type of vehicle and region at 0.01° × 0.01°. While the vehicle fleet grew 5-fold, CO2 emissions increased at a lower rate and local pollutants decreased. These trends can be explained by changes in improved vehicle technologies, better fuel quality and enforcement of emission standards.
Daniel Moran, Peter-Paul Pichler, Heran Zheng, Helene Muri, Jan Klenner, Diogo Kramel, Johannes Többen, Helga Weisz, Thomas Wiedmann, Annemie Wyckmans, Anders Hammer Strømman, and Kevin R. Gurney
Earth Syst. Sci. Data, 14, 845–864, https://doi.org/10.5194/essd-14-845-2022, https://doi.org/10.5194/essd-14-845-2022, 2022
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This paper presents the modeling methods used for the website https://openghgmap.net, which provides estimates of CO2 emissions for 108 000 European cities.
Alessandro Flammini, Xueyao Pan, Francesco Nicola Tubiello, Sally Yue Qiu, Leonardo Rocha Souza, Roberta Quadrelli, Stefania Bracco, Philippe Benoit, and Ralph Sims
Earth Syst. Sci. Data, 14, 811–821, https://doi.org/10.5194/essd-14-811-2022, https://doi.org/10.5194/essd-14-811-2022, 2022
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Fossil-fuel-based energy used in agriculture, for crop and livestock production as well as in fisheries, generates significant amounts of greenhouse gases (GHG), which are typically not accounted for within the agriculture sector of national GHG inventories. Using activity data from UNSD and IEA, we construct a new database of energy use in agriculture and related emissions, covering the period 1970–2019 by country and by fossil fuel type, including emissions from electricity used on the farm.
Tao Zhang, Yuyu Zhou, Zhengyuan Zhu, Xiaoma Li, and Ghassem R. Asrar
Earth Syst. Sci. Data, 14, 651–664, https://doi.org/10.5194/essd-14-651-2022, https://doi.org/10.5194/essd-14-651-2022, 2022
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We generated a global seamless 1 km daily (mid-daytime and mid-nighttime) land surface temperature (LST) dataset (2003–2020) using MODIS LST products by proposing a spatiotemporal gap-filling framework. The average root mean squared errors of the gap-filled LST are 1.88°C and 1.33°C, respectively, in mid-daytime and mid-nighttime. The global seamless LST dataset is unique and of great use in studies on urban systems, climate research and modeling, and terrestrial ecosystem studies.
Nicolás Álamos, Nicolás Huneeus, Mariel Opazo, Mauricio Osses, Sebastián Puja, Nicolás Pantoja, Hugo Denier van der Gon, Alejandra Schueftan, René Reyes, and Rubén Calvo
Earth Syst. Sci. Data, 14, 361–379, https://doi.org/10.5194/essd-14-361-2022, https://doi.org/10.5194/essd-14-361-2022, 2022
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This study presents the first high-resolution national inventory of anthropogenic emissions for Chile (Inventario Nacional de Emisiones Antropogénicas, INEMA). Emissions for vehicular, industrial, energy, mining and residential sectors are estimated for the period 2015–2017 and spatially distributed onto a high-resolution grid (1 × 1 km). This inventory will support policies seeking to mitigate climate change and improve air quality by providing qualified scientific spatial emission information.
Paula Castesana, Melisa Diaz Resquin, Nicolás Huneeus, Enrique Puliafito, Sabine Darras, Darío Gómez, Claire Granier, Mauricio Osses Alvarado, Néstor Rojas, and Laura Dawidowski
Earth Syst. Sci. Data, 14, 271–293, https://doi.org/10.5194/essd-14-271-2022, https://doi.org/10.5194/essd-14-271-2022, 2022
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This work presents the results of the first joint effort of South American and European researchers to generate regional maps of emissions. The PAPILA dataset is a collection of annual emission inventories of reactive gases (CO, NOx, NMVOCs, NH3, and SO2) from anthropogenic sources in the region for the period 2014–2016. This was developed on the basis of the CAMS-GLOB-ANT v4.1 dataset, enriching it with derived data from locally available emission inventories for Argentina, Chile, and Colombia.
Hou Jiang, Ling Yao, Ning Lu, Jun Qin, Tang Liu, Yujun Liu, and Chenghu Zhou
Earth Syst. Sci. Data, 13, 5389–5401, https://doi.org/10.5194/essd-13-5389-2021, https://doi.org/10.5194/essd-13-5389-2021, 2021
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A multi-resolution (0.8, 0.3, and 0.1 m) photovoltaic (PV) dataset is established using satellite and aerial images. The dataset contains 3716 samples of PVs installed on various land and rooftop types. The dataset can support multi-scale PV segmentation (e.g., concentrated PVs, distributed ground PVs, and fine-grained rooftop PVs) and cross applications between different resolutions (e.g., from satellite to aerial samples and vice versa), as well as other research related to PVs.
Margarita Choulga, Greet Janssens-Maenhout, Ingrid Super, Efisio Solazzo, Anna Agusti-Panareda, Gianpaolo Balsamo, Nicolas Bousserez, Monica Crippa, Hugo Denier van der Gon, Richard Engelen, Diego Guizzardi, Jeroen Kuenen, Joe McNorton, Gabriel Oreggioni, and Antoon Visschedijk
Earth Syst. Sci. Data, 13, 5311–5335, https://doi.org/10.5194/essd-13-5311-2021, https://doi.org/10.5194/essd-13-5311-2021, 2021
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People worry that growing man-made carbon dioxide (CO2) concentrations lead to climate change. Global models, use of observations, and datasets can help us better understand behaviour of CO2. Here a tool to compute uncertainty in man-made CO2 sources per country per year and month is presented. An example of all sources separated into seven groups (intensive and average energy, industry, humans, ground and air transport, others) is presented. Results will be used to predict CO2 concentrations.
Jan C. Minx, William F. Lamb, Robbie M. Andrew, Josep G. Canadell, Monica Crippa, Niklas Döbbeling, Piers M. Forster, Diego Guizzardi, Jos Olivier, Glen P. Peters, Julia Pongratz, Andy Reisinger, Matthew Rigby, Marielle Saunois, Steven J. Smith, Efisio Solazzo, and Hanqin Tian
Earth Syst. Sci. Data, 13, 5213–5252, https://doi.org/10.5194/essd-13-5213-2021, https://doi.org/10.5194/essd-13-5213-2021, 2021
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We provide a synthetic dataset on anthropogenic greenhouse gas (GHG) emissions for 1970–2018 with a fast-track extension to 2019. We show that GHG emissions continued to rise across all gases and sectors. Annual average GHG emissions growth slowed, but absolute decadal increases have never been higher in human history. We identify a number of data gaps and data quality issues in global inventories and highlight their importance for monitoring progress towards international climate goals.
S. Enrique Puliafito, Tomás R. Bolaño-Ortiz, Rafael P. Fernandez, Lucas L. Berná, Romina M. Pascual-Flores, Josefina Urquiza, Ana I. López-Noreña, and María F. Tames
Earth Syst. Sci. Data, 13, 5027–5069, https://doi.org/10.5194/essd-13-5027-2021, https://doi.org/10.5194/essd-13-5027-2021, 2021
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GEAA-AEIv3.0M atmospheric emissions inventory is the first high-spatial-resolution inventory (approx. 2.5 km × 2.5 km) with monthly variability from 1995 to 2020, including greenhouse gases, ozone precursors, acidifying gases, and particulate matter, from all Argentine productive activities. The main benefit of GEAA-AEIv3.0M is to map emissions with better temporal resolution to support air quality and climate modeling, to evaluate pollutant mitigation strategies by Argentine decision makers.
Sekou Keita, Catherine Liousse, Eric-Michel Assamoi, Thierno Doumbia, Evelyne Touré N'Datchoh, Sylvain Gnamien, Nellie Elguindi, Claire Granier, and Véronique Yoboué
Earth Syst. Sci. Data, 13, 3691–3705, https://doi.org/10.5194/essd-13-3691-2021, https://doi.org/10.5194/essd-13-3691-2021, 2021
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This inventory fills the gap in African regional inventories, providing biofuel and fossil fuel emissions that take into account African specificities. It could be used for air quality modeling. We show that all pollutant emissions are globally increasing during the period 1990–2015. Also, West Africa and East Africa emissions are largely due to domestic fire and traffic activities, while southern Africa and northern Africa emissions are largely due to industrial and power plant sources.
Steffen Beirle, Christian Borger, Steffen Dörner, Henk Eskes, Vinod Kumar, Adrianus de Laat, and Thomas Wagner
Earth Syst. Sci. Data, 13, 2995–3012, https://doi.org/10.5194/essd-13-2995-2021, https://doi.org/10.5194/essd-13-2995-2021, 2021
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A catalog of point sources of nitrogen oxides was created using satellite observations of NO2. Key for the identification of point sources was the divergence, i.e., the difference between upwind and downwind levels of NO2.
The catalog lists 451 locations, of which 242 could be automatically matched to power plants. Other point sources are metal smelters, cement plants, or industrial areas. The catalog thus allows checking and improving of existing emission inventories.
Rui Guo, Jiaoyue Wang, Longfei Bing, Dan Tong, Philippe Ciais, Steven J. Davis, Robbie M. Andrew, Fengming Xi, and Zhu Liu
Earth Syst. Sci. Data, 13, 1791–1805, https://doi.org/10.5194/essd-13-1791-2021, https://doi.org/10.5194/essd-13-1791-2021, 2021
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Short summary
Using a life-cycle approach, we estimated the CO2 process emission and uptake of cement materials produced and consumed from 1930 to 2019; ~21 Gt of CO2, about 55 % of the total process emission, had been abated through cement carbonation. China contributed the greatest to the cumulative uptake, with more than 6 Gt (~30 % of the world total), while ~59 %, or more than 12 Gt, of the total uptake was attributed to mortar. Cement CO2 uptake makes up a considerable part of the human carbon budget.
Cited articles
Acuto, M., Parnell, S., and Seto, K. C.:
Building a global urban science,
Nature Sustainability,
1, 4–6, https://doi.org/10.1038/s41893-017-0013-9, 2018.
Adami, L., Tubino, M., Ragazzi, M., Conti, F., and Rada, E. C.:
Local actions for reducing global greenhouse gas footprint: 10 years of covenant of mayors initiative,
International Journal of Sustainable Development and Planning,
15, 247–252, https://doi.org/10.18280/ijsdp.150216, 2020.
Bertoldi, P., Iancu, A., Kona, A., Suvi, M., Muntean, M., Lah, O., and Rivas, S.:
Guidebook “How to develop a Sustainable Energy and Climate Action Plan (SECAP)”: PART 2 – Baseline Emission Inventory (BEI) and Risk and Vulnerability Assessment (RVA), EUR 29412,
Publications Office of the European Union, Luxembourg, https://doi.org/10.2760/118857, 2018a.
Bertoldi, P., Kona, A., Palermo, V., Zangheri, P., Serrenho, T., Rivas, S., Labanca, N., Kilkis, S., Lah, O., Glancy, R., Follador, M., Barbosa, P., and Andreanidou, K.:
Guidebook “How to develop a Sustainable Energy and Climate Action Plan (SECAP)” PART 3-Policies, key actions, good practices for mitigation and adaptation to climate change and Financing SECAP(s),
Publication Office of the European Union, Luxembourg, https://doi.org/10.2760/58898, 2018b.
Bertoldi, P., Kona, A., Rivas, S., and Dallemand, J. F.:
Towards a global comprehensive and transparent framework for cities and local governments enabling an effective contribution to the Paris climate agreement,
Curr. Opin. Env. Sust.,
30, 67–74, https://doi.org/10.1016/j.cosust.2018.03.009, 2018c.
Busch, H., Bendlin, L., and Fenton, P.:
Urban Climate Shaping local response – The influence of transnational municipal climate networks on urban climate governance,
Urban Climte,
24, 221–230, https://doi.org/10.1016/j.uclim.2018.03.004, 2018.
Cerquitelli, T., Corso, E. Di, Proto, S., Capozzoli, A., Bellotti, F., Cassese, M. G., Baralis, E., Mellia, M., Casagrande, S., and Tamburini, M.:
Exploring energy performance certificates through visualization,
in: Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, EDBT/ICDT 2019, Lisbon, Portugal, 26 March 2019,
edited by: CEUR-WS.org, p. 7,
available at: http://ceur-ws.org/Vol-2322/BigVis_2.pdf (last access: January 2021), 2019.
Crippa, M., Solazzo, E., Huang, G., Guizzardi, D., Koffi, E., Muntean, M., Schieberle, C., Friedrich, R., and Janssens-Maenhout, G.:
High resolution temporal profiles in the Emissions Database for Global Atmospheric Research,
Scientific Data,
1–17, https://doi.org/10.1038/s41597-020-0462-2, 2020.
Croci, E., Lucchitta, B., Janssens-Maenhout, G., Martelli, S., and Molteni, T.:
Urban CO2 mitigation strategies under the Covenant of Mayors: An assessment of 124 European cities,
J. Clean. Prod.,
169, 161–177, https://doi.org/10.1016/j.jclepro.2017.05.165, 2016.
Eurostat:
GISCO,
available at: https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/lau#lau19 (last access: January 2021), 2018.
Eurostat:
SDG 13 – Climate action,
available at: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=SDG_13_-_Climate_action#Climate_mitigation (last access: 24 May 2021), 2020.
Famoso, F., Lanzafame, R., Monforte, P., and Scandura, P. F.:
Analysis of the covenant of mayors initiative in sicily,
Enrgy. Proced.,
81, 482–492, https://doi.org/10.1016/j.egypro.2015.12.122, 2015.
Forster, G.:
Understanding Statistics: Basic Theory and Practice,
available at: https://www.lulu.com/shop/grant-foster/understanding-statistics-basic-theory-and-practice/paperback/product-20680689.html?page=1&pageSize=4 (last access: January 2021), 484 pp., 2013.
Gordon, J. D.:
The Politics of Accountability in Networked Urban Climate Governance,
Global Environ. Polit.,
16, 82–100, 2016.
Heidrich, O., Reckien, D., Olazabal, M., Foley, A., Salvia, M., Hurtado, S. D. G., Orru, H., Flacke, J., Geneletti, D., Pietrapertosa, F., Hamann, J. J., and Tiwary, A.:
National climate policies across Europe and their impacts on cities strategies,
J. Environ. Manage.,
168, 36–45, https://doi.org/10.1016/j.jenvman.2015.11.043, 2016.
IPCC: 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National
Greenhouse Gas Inventories Programme, edited by: Eggleston, H. S., Buendia, L., Miwa, K., Ngara, T., and Tanabe, K.,
IGES, Japan, 2006.
IPCC:
Climate Change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by: Metz, B., Davidson, O. R., Bosch, P. R., Dave, R., and Meyer, L. A.,
Cambridge University Press, Cambridge, UK and New York, NY, USA, 2007.
IPCC:
Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by:
Edenhofer, O., Pichs-Madruga, R., Sokona, Y., Farahani, E., Kadner, S., Seyboth, K., Adler, A., Baum, I., Brunner, S., Eickemeier, P., Kriemann, B., Savolainen, J., Schlömer, S., von Stechow, C., Zwickel, T., and Minx, J. C.,
Cambridge University Press, Cambridge, UK and New York, NY, USA,
available at: http://www.ipcc.ch/pdf/assessment-report/ar5/wg3/ipcc_wg3_ar5_full.pdf (last access: January 2021), 2014.
IPCC:
Human Settlements, Infrastructure, and Spatial Planning,
in: Climate Change 2014: Mitigation of Climate Change: Working Group III Contribution to the IPCC Fifth Assessment Report,
Cambridge University Press, Cambridge, https://doi.org/10.1017/CBO9781107415416.018, pp. 923–1000, 2015.
Kilkis, S.:
Data on cities that are benchmarked with the sustainable development of energy, water and environment systems index and related cross-sectoral scenario,
Data in Brief,
24, 103856, https://doi.org/10.1016/j.dib.2019.103856, 2019.
Kona, A., Bertoldi, P., Monforti-Ferrario, F., Rivas, S., and Dallemand, J. F.:
Covenant of mayors signatories leading the way towards 1.5 degree global warming pathway,
Sustain. Cities Soc.,
41, 568–575, https://doi.org/10.1016/J.SCS.2018.05.017, 2018.
Kona, A., Bertoldi, P., and Kılkış, Ş.:
Covenant of Mayors: Local Energy Generation, Methodology, Policies and Good Practice Examples,
Energies,
12, 985, https://doi.org/10.3390/en12060985, 2019.
Kona, A., Bertoldi, P., Baldi, M., Monforti-Ferrario, F., Palermo, V., Lo Vullo, E., Rivas-Calvete, S., Kakoulaki, G., Vetters, N., Thiel, C., Sgobbi, A., Ahlgren, C., and Posnic, B.:
A dataset of GHG emissions for 6,200 cities in Europe and the Southern Mediterranean countries,
Publications Office European Union, Luxembourg, https://doi.org/10.2905/57A615EB-CFBC-435A-A8C5-553BD40F76C9, 2020.
Kovac, A., Mcdaniel, S., Kona, A., Bertoldi, P., and Chavara, C.:
Aggregating Cities' GHG Mitigation Targets with Modeled Emissions Scenarios,
available at: https://files.wri.org/s3fs-public/aggregating-cities-ghg-mitigation-targets.pdf (last access: January 2021),
World Resources Institute, Washington, D.C., 2020.
Lo Vullo, E., Muntean, M., Duerr, M., Kona, A., and Bertoldi, P.:
National and European Emission Factors for Electricity,
Covenant of Mayors, Luxembourg,
available at: https://data.jrc.ec.europa.eu/collection/id-00172 (last access: January 2021),
Joint Research Centre Data Catalogue, 2020.
Marcotullio, P. J., Sarzynski, A., Albrecht, J., and Schulz, N.:
A Top-Down Regional Assessment of Urban Greenhouse Gas Emissions in Europe,
Ambio,
43, 957–968, https://doi.org/10.1007/s13280-013-0467-6, 2014.
Monforti-Ferrario, F., Kona, A., Peduzzi, E., Pernigotti, D., and Pisoni, E.:
The impact on air quality of energy saving measures in the major cities signatories of the Covenant of Mayors initiative,
Environ. Int.,
118, 222–234, https://doi.org/10.1016/j.envint.2018.06.001, 2018.
Nangini, C., Peregon, A., Ciais, P., Weddige, U., Vogel, F., Wang, J., Bréon, F.-M., Bachra, S., Wang, Y., Gurney, K., Yamagata, Y., Appleby, K., Telahoun, S., Canadell, J. G., Grübler, A., Dhakal, S., and Creutzig, F.:
A global dataset of CO2 emissions and ancillary data related to emissions for 343 cities,
Scientific Data,
6, 180280, https://doi.org/10.1038/sdata.2018.280, 2019.
Pablo-Romero, M. del P., Pozo-Barajas, R., and Sánchez-Braza, A.:
Analyzing the effects of the benchmark local initiatives of Covenant of Mayors signatories,
J. Clean. Prod.,
176, 159–174, https://doi.org/10.1016/J.JCLEPRO.2017.12.124, 2018.
Palermo, V., Bertoldi, P., Apostolou, M., Kona, A., and Rivas, S.:
Assessment of climate change mitigation policies in 315 cities in the Covenant of Mayors initiative,
Sustain. Cities Soc.,
60, 102258, https://doi.org/10.1016/j.scs.2020.102258, 2020a.
Palermo, V., Bertoldi, P., Apostolou, M., Kona, A., and Rivas, S.:
Data on mitigation policies at local level within the Covenant of Mayors' monitoring emission inventories,
Data in Brief,
32, 106217, https://doi.org/10.1016/j.dib.2020.106217, 2020b.
Peduzzi, E., Baldi, M. G., Pisoni, E., Kona, A., Bertoldi, P., and Monforti-ferrario, F.:
Impacts of a climate change initiative on air pollutant emissions: Insights from the Covenant of Mayors,
Environ. Int.,
145, 106029, https://doi.org/10.1016/j.envint.2020.106029, 2020.
Reckien, D., Salvia, M., Heidrich, O., Church, J. M., Pietrapertosa, F., De Gregorio-Hurtado, S., D'Alonzo, V., Foley, A., Simoes, S. G., Lorencová, E. K., Orru, H., Orru, K., Wejs, A., Flacke, J., Olazabal, M., Geneletti, D., Feliu, E., Vasilie, S., Nador, C., Krook-Riekkola, A., Matosović, M., Fokaides, P. A., Ioannou, B. I., Flamos, A., Spyridaki, N., Balzan, M. V., Fülöp, O., Paspaldzhiev, I., Grafakos, S., and Dawson, R.:
How are cities planning to respond to climate change? Assessment of local climate plans from 885 cities in the EU-28,
J. Clean. Prod.,
191, 207–219, https://doi.org/10.1016/j.jclepro.2018.03.220, 2018.
Rosner, B.:
Percentage Points for a Generalized ESD Many-Outlier Procedure,
Technometrics,
25, 165–172, 1983.
Seem, J. E.:
Using intelligent data analysis to detect abnormal energy consumption in buildings,
Energ. Buildings,
39, 52–58, 2007.
Solazzo, E., Crippa, M., Guizzardi, D., Muntean, M., Choulga, M., and Janssens-Maenhout, G.: Uncertainties in the Emissions Database for Global Atmospheric Research (EDGAR) emission inventory of greenhouse gases, Atmos. Chem. Phys., 21, 5655–5683, https://doi.org/10.5194/acp-21-5655-2021, 2021.
van der Ven, H., Bernstein, S., and Hoffmann, M.:
Valuing the Contributions of Nonstate and Subnational Actors to Climate Governance,
Global Environ. Polit.,
17, 1–20, 2017.
Short summary
The Global Covenant of Mayors for Climate & Energy (GCoM), the largest international initiative to promote climate action at the city level, has collected a large amount of information on urban greenhouse gas emissions.
Here we present the harmonised, completed and verified GCoM emission dataset, originating from 6200 cities among its signatories, complemented with a set of useful ancillary data. This knowledge will contribute to covering the lack of consistent datasets of cities' emissions.
The Global Covenant of Mayors for Climate & Energy (GCoM), the largest international initiative...
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