Articles | Volume 15, issue 3
https://doi.org/10.5194/essd-15-1465-2023
© Author(s) 2023. 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-15-1465-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models
Kandice L. Harper
Earth and Life Institute, Université catholique de Louvain, 1348
Louvain-la-Neuve, Belgium
Céline Lamarche
CORRESPONDING AUTHOR
Earth and Life Institute, Université catholique de Louvain, 1348
Louvain-la-Neuve, Belgium
Andrew Hartley
Met Office Hadley Centre, Exeter, EX1 3PB, UK
Philippe Peylin
Laboratoire des Sciences du Climat et de l'Environnement, Institut
Pierre-Simon Laplace, CEA-CNRS-Université Paris-Saclay, Orme des
Merisiers, 91191 Gif-sur-Yvette, France
Catherine Ottlé
Laboratoire des Sciences du Climat et de l'Environnement, Institut
Pierre-Simon Laplace, CEA-CNRS-Université Paris-Saclay, Orme des
Merisiers, 91191 Gif-sur-Yvette, France
Vladislav Bastrikov
Laboratoire des Sciences du Climat et de l'Environnement, Institut
Pierre-Simon Laplace, CEA-CNRS-Université Paris-Saclay, Orme des
Merisiers, 91191 Gif-sur-Yvette, France
Rodrigo San Martín
Laboratoire des Sciences du Climat et de l'Environnement, Institut
Pierre-Simon Laplace, CEA-CNRS-Université Paris-Saclay, Orme des
Merisiers, 91191 Gif-sur-Yvette, France
Sylvia I. Bohnenstengel
MetOffice@Reading, Reading, RG6 6BB, UK
Grit Kirches
Brockmann Consult GmbH, 21029 Hamburg, Germany
Martin Boettcher
Brockmann Consult GmbH, 21029 Hamburg, Germany
Roman Shevchuk
Brockmann Consult GmbH, 21029 Hamburg, Germany
Carsten Brockmann
Brockmann Consult GmbH, 21029 Hamburg, Germany
Pierre Defourny
Earth and Life Institute, Université catholique de Louvain, 1348
Louvain-la-Neuve, Belgium
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Latest update: 29 Jun 2024
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.
We built a spatially explicit annual plant-functional-type (PFT) dataset for 1992–2020...
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