Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

Journal metrics

  • IF value: 10.951 IF 10.951
  • IF 5-year value: 9.899 IF 5-year
    9.899
  • CiteScore value: 9.74 CiteScore
    9.74
  • SNIP value: 3.111 SNIP 3.111
  • IPP value: 8.99 IPP 8.99
  • SJR value: 5.229 SJR 5.229
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 38 Scimago H
    index 38
  • h5-index value: 33 h5-index 33
ESSD | Articles | Volume 11, issue 2
Earth Syst. Sci. Data, 11, 687–703, 2019
https://doi.org/10.5194/essd-11-687-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 11, 687–703, 2019
https://doi.org/10.5194/essd-11-687-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  17 May 2019

17 May 2019

A global map of emission clumps for future monitoring of fossil fuel CO2 emissions from space

Yilong Wang et al.
Related authors  
CE-DYNAM (v1), a spatially explicit, process-based carbon erosion scheme for the use in Earth system models
Victoria Naipal, Ronny Lauerwald, Philippe Ciais, Bertrand Guenet, and Yilong Wang
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-110,https://doi.org/10.5194/gmd-2019-110, 2019
Manuscript under review for GMD
Short summary
Global atmospheric carbon monoxide budget 2000–2017 inferred from multi-species atmospheric inversions
Bo Zheng, Frederic Chevallier, Yi Yin, Philippe Ciais, Audrey Fortems-Cheiney, Merritt N. Deeter, Robert J. Parker, Yilong Wang, Helen M. Worden, and Yuanhong Zhao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-61,https://doi.org/10.5194/essd-2019-61, 2019
Revised manuscript accepted for ESSD
Short summary
GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes
Yilong Wang, Philippe Ciais, Daniel Goll, Yuanyuan Huang, Yiqi Luo, Ying-Ping Wang, A. Anthony Bloom, Grégoire Broquet, Jens Hartmann, Shushi Peng, Josep Penuelas, Shilong Piao, Jordi Sardans, Benjamin D. Stocker, Rong Wang, Sönke Zaehle, and Sophie Zechmeister-Boltenstern
Geosci. Model Dev., 11, 3903–3928, https://doi.org/10.5194/gmd-11-3903-2018,https://doi.org/10.5194/gmd-11-3903-2018, 2018
Short summary
Global soil organic carbon removal by water erosion under climate change and land use change during AD 1850–2005
Victoria Naipal, Philippe Ciais, Yilong Wang, Ronny Lauerwald, Bertrand Guenet, and Kristof Van Oost
Biogeosciences, 15, 4459–4480, https://doi.org/10.5194/bg-15-4459-2018,https://doi.org/10.5194/bg-15-4459-2018, 2018
Short summary
ORCHIMIC (v1.0), a microbe-mediated model for soil organic matter decomposition
Ye Huang, Bertrand Guenet, Philippe Ciais, Ivan A. Janssens, Jennifer L. Soong, Yilong Wang, Daniel Goll, Evgenia Blagodatskaya, and Yuanyuan Huang
Geosci. Model Dev., 11, 2111–2138, https://doi.org/10.5194/gmd-11-2111-2018,https://doi.org/10.5194/gmd-11-2111-2018, 2018
Short summary
Related subject area  
Data, Algorithms, and Models
The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use
Stefan Leyk, Andrea E. Gaughan, Susana B. Adamo, Alex de Sherbinin, Deborah Balk, Sergio Freire, Amy Rose, Forrest R. Stevens, Brian Blankespoor, Charlie Frye, Joshua Comenetz, Alessandro Sorichetta, Kytt MacManus, Linda Pistolesi, Marc Levy, Andrew J. Tatem, and Martino Pesaresi
Earth Syst. Sci. Data, 11, 1385–1409, https://doi.org/10.5194/essd-11-1385-2019,https://doi.org/10.5194/essd-11-1385-2019, 2019
Short summary
The Environment and Climate Change Canada solid precipitation intercomparison data from Bratt's Lake and Caribou Creek, Saskatchewan
Craig D. Smith, Daqing Yang, Amber Ross, and Alan Barr
Earth Syst. Sci. Data, 11, 1337–1347, https://doi.org/10.5194/essd-11-1337-2019,https://doi.org/10.5194/essd-11-1337-2019, 2019
Short summary
A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH)
Samuel Weber, Jan Beutel, Reto Da Forno, Alain Geiger, Stephan Gruber, Tonio Gsell, Andreas Hasler, Matthias Keller, Roman Lim, Philippe Limpach, Matthias Meyer, Igor Talzi, Lothar Thiele, Christian Tschudin, Andreas Vieli, Daniel Vonder Mühll, and Mustafa Yücel
Earth Syst. Sci. Data, 11, 1203–1237, https://doi.org/10.5194/essd-11-1203-2019,https://doi.org/10.5194/essd-11-1203-2019, 2019
Short summary
STEAD: a high-resolution daily gridded temperature dataset for Spain
Roberto Serrano-Notivoli, Santiago Beguería, and Martín de Luis
Earth Syst. Sci. Data, 11, 1171–1188, https://doi.org/10.5194/essd-11-1171-2019,https://doi.org/10.5194/essd-11-1171-2019, 2019
Short summary
Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives
Shanlong Lu, Jin Ma, Xiaoqi Ma, Hailong Tang, Hongli Zhao, and Muhammad Hasan Ali Baig
Earth Syst. Sci. Data, 11, 1099–1108, https://doi.org/10.5194/essd-11-1099-2019,https://doi.org/10.5194/essd-11-1099-2019, 2019
Short summary
Cited articles  
Asefi-Najafabady, S., Rayner, P. J., Gurney, K. R., McRobert, A., Song, Y., Coltin, K., Huang, J., Elvidge, C., and Baugh, K.: A multiyear, global gridded fossil fuel CO2emission data product: Evaluation and analysis of results, J. Geophys. Res., 119, 10213–10231, https://doi.org/10.1002/2013jd021296, 2014. 
Boden, T. A., Marland, G., and Andres, R. J.: Global, Regional, and National Fossil-Fuel CO2 Emissions, available at: http://cdiac.ess-dive.lbl.gov/epubs/ndp/ndp058/ndp058_v2016.html (last access: 2 August 2018), 2016. 
Borsdorff, T., aan de Brugh, J., Pandey, S., Hasekamp, O., Aben, I., Houweling, S., and Landgraf, J.: Carbon monoxide air pollution on sub-city scales and along arterial roads detected by the Tropospheric Monitoring Instrument, Atmos. Chem. Phys., 19, 3579–3588, https://doi.org/10.5194/acp-19-3579-2019, 2019. 
Bovensmann, H., Buchwitz, M., Burrows, J. P., Reuter, M., Krings, T., Gerilowski, K., Schneising, O., Heymann, J., Tretner, A., and Erzinger, J.: A remote sensing technique for global monitoring of power plant CO2 emissions from space and related applications, Atmos. Meas. Tech., 3, 781–811, https://doi.org/10.5194/amt-3-781-2010, 2010. 
Bréon, F. M., Broquet, G., Puygrenier, V., Chevallier, F., Xueref-Remy, I., Ramonet, M., Dieudonné, E., Lopez, M., Schmidt, M., Perrussel, O., and Ciais, P.: An attempt at estimating Paris area CO2 emissions from atmospheric concentration measurements, Atmos. Chem. Phys., 15, 1707–1724, https://doi.org/10.5194/acp-15-1707-2015, 2015. 
Download
Short summary
We address the question of the global characterization of fossil fuel CO2 emission hotspots that may cause coherent XCO2 plumes in space-borne CO2 images, based on the ODIAC global high-resolution 1 km fossil fuel emission data product. For space imagery with 0.5 ppm precision for a single XCO2 measurement, a total of 11 314 hotspots are identified, covering 72 % of the global emissions. These hotspots define the targets for the purpose of monitoring fossil fuel CO2 emissions from space.
We address the question of the global characterization of fossil fuel CO2 emission hotspots that...
Citation