Harmonising the land-use flux estimates of global models and national inventories for 2000-2020: background data (original) (raw)

Published February 17, 2023 | Version v2

Dataset Open

Authors/Creators

• Grassi, Giacomo1

• Schwingshackl, Clemens2

• Gasser, Thomas3

• Houghton, Richard A.4

• Sitch, Steven5

• Canadell, Joseph G.6

• Cescatti, Alessandro1

• Ciais, Philippe7

• Federici, Sandro8

• Friedlingstein, Pierre9

• Kurz, Werner A.10

• Sanz Sanchez, Maria J.11

• Abad Viñas, Raul1

• Alkama, Ramdane1

• Bultan, Selma12

• Ceccherini, Guido1

• Falk, Stefanie13

• Kato, Etsushi14

• Kennedy, Daniel15

• Knauer, Jürgen16

• Korosuo, Anu1

• Melo, Joana1

• McGrath, Matthew J.17

• Nabel, Julia E.M.S.18

• Poulter, Benjamin19

• Romanovskaya, Anna20

• Rossi, Simone21

• Tian, Hanqin22

• Walker, Anthony P.23

• Yuan, Wenping24

• Yue, Xu25

• Pongratz, Julia26

• 1. European Commission Joint Research Centre

• 2. Ludwig-Maximilians-Universität München, Munich, Germany

• 3. International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria

• 4. Woodwell Climate Research Center, Falmouth, MA, USA

• 5. Department of Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK

• 6. Global Carbon Project, CSIRO Environment, Canberra, ACT, Australia

• 7. Laboratoire des Sciences du Climat et de l'Environnement CEA, CNRS, UVSQ, France

• 8. Institute for Global Environmental Strategies, Hayama, Japan

• 9. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK and Laboratoire de Météorologie Dynamique/Institut Pierre-Simon Laplace, CNRS, Ecole Normale, France

• 10. Canadian Forest Service, Natural Resources Canada, Victoria, British Columbia, Canada

• 11. Basque Centre for Climate Change (BC3), Spain

• 12. 2 Ludwig-Maximilians-Universität München, Munich, Germany

• 13. Ludwig-Maximilians-Universität München, Munich, Germany.

• 14. Institute of Applied Energy, Japan

• 15. National Center for Atmospheric Research, Boulder, CO, USA

• 16. Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia

• 17. Laboratoire des Sciences du Climat et de l'Environnement CEA, CNRS, UVSQ, 91191 Gif sur Yvette, France

• 18. Max Planck Institute for Meteorology, Hamburg, Germany, and Max Planck Institute for Biochemistry, Jena, Germany

• 19. NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD 20771, USA

• 20. Yu. A. Izrael Institute of Global Climate and Ecology, Russia.

• 21. Arcadia SIT contracted to European Commission Joint Research Centre

• 22. Schiller Institute for Integrated Science and Society, Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, USA

• 23. Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, USA

• 24. School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, China.

• 25. School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing, China

• 26. Ludwig-Maximilians-Universität München, Munich, Germany, and Max Planck Institute for Meteorology, Hamburg, Germany

Description

This online repository includes all the relevant data used in the paper "Harmonizing the land-use flux estimates of global models and national inventories for 2000-2020" (Grassi et al. 2023), plus some additional methodological information, organised in the following files:

1. "Global model s land CO2 data 2000-2020" (MS Excel Format), including for each country data for:

a. Land-use CO2 fluxes from each of three Bookkeeping Models (BMs) used, and for different categories (net LULUCF, deforestation, forest, other transitions, organic soils).

b. The ensemble mean of the ‘natural terrestrial sink’ estimated by 16 Dynamic Global Vegetation Models (DGVMs), filtered with maps of intact/non-intact forest.

The global model data included here are consistent with those included in the Global Carbon Budget 2022 (Friedlingstein et al., 2022).

1. “National inventories LULUCF data 2000-2020” (version Dec 2022, MS Excel Format), including a comprehensive collection of LULUCF CO2 data based on countries' submissions to the United Nations Framework Convention on Climate Change (UNFCCC). The data here represent a slight update of the dataset included in Grassi et al. (2022).

2. “Processing steps for DGVM results”, describing the protocol used to filter the results of DGVMs with maps of intact/non-intact forest and further details on the maps (PDF Format).

3. “Intact and non-intact forest maps”, available in two files with different resolutions (0.5 and 0.05 degrees) in NetCDF format. Grassi et al. (2023) used the 0.5 degree resolution.

4. "IntactAndNonIntactForest_0.5deg_script.js", the Google Earth Engine Java script to produce the forest maps (.js/text format)

For further details, please refer to:

Grassi et al. (2023) Harmonising the land-use flux estimates of global models and national inventories for 2000-2020. Earth Syst. Sci. Data.

Other references:

Friedlingstein et al. (2022) Global Carbon Budget 2022, Earth Syst. Sci. Data, 14, 4811–4900.

Grassi et al (2022) Carbon fluxes from land 2000–2020: bringing clarity to countries' reporting. Earth Syst. Sci. Data, 14, 4643-4666.

Files

ProcessingSteps_Maps_Grassi_etal_2023.pdf

Files (526.1 MB)