Articles | Volume 15, issue 3
https://doi.org/10.5194/essd-15-1465-2023
https://doi.org/10.5194/essd-15-1465-2023
Data description paper
 | 
31 Mar 2023
Data description paper |  | 31 Mar 2023

A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models

Kandice L. Harper, Céline Lamarche, Andrew Hartley, Philippe Peylin, Catherine Ottlé, Vladislav Bastrikov, Rodrigo San Martín, Sylvia I. Bohnenstengel, Grit Kirches, Martin Boettcher, Roman Shevchuk, Carsten Brockmann, and Pierre Defourny

Viewed

Total article views: 10,986 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
8,930 1,917 139 10,986 108 123
  • HTML: 8,930
  • PDF: 1,917
  • XML: 139
  • Total: 10,986
  • BibTeX: 108
  • EndNote: 123
Views and downloads (calculated since 16 Sep 2022)
Cumulative views and downloads (calculated since 16 Sep 2022)

Viewed (geographical distribution)

Total article views: 10,986 (including HTML, PDF, and XML) Thereof 10,613 with geography defined and 373 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download
Short summary
We built a spatially explicit annual plant-functional-type (PFT) dataset for 1992–2020 exhibiting intra-class spatial variability in PFT fractional cover at 300 m. For each year, 14 maps of percentage cover are produced: bare soil, water, permanent snow/ice, built, managed grasses, natural grasses, and trees and shrubs, each split into leaf type and seasonality. Model simulations indicate significant differences in simulated carbon, water, and energy fluxes in some regions using this new set.
Altmetrics
Final-revised paper
Preprint