Spatially explicit vegetation fractions to improve climate model simulation: A 29-year time series of annual Plant Functional Type (PFT) fraction maps through the fusion of the CCI MRLC 300 m land cover dataset and existing high-resolution data products, - Archive ouverte HAL
Communication Dans Un Congrès Année : 2023

Spatially explicit vegetation fractions to improve climate model simulation: A 29-year time series of annual Plant Functional Type (PFT) fraction maps through the fusion of the CCI MRLC 300 m land cover dataset and existing high-resolution data products,

Céline Lamarche
  • Fonction : Auteur
Kandice L. Harper
  • Fonction : Auteur
Andrew J. Hartley
Catherine Ottle
Vladislav Bastrikov
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Dates et versions

hal-04264760 , version 1 (30-10-2023)

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  • HAL Id : hal-04264760 , version 1

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Céline Lamarche, Kandice L. Harper, Andrew J. Hartley, P. Peylin, Catherine Ottle, et al.. Spatially explicit vegetation fractions to improve climate model simulation: A 29-year time series of annual Plant Functional Type (PFT) fraction maps through the fusion of the CCI MRLC 300 m land cover dataset and existing high-resolution data products,. LPVE23 Symposium, LPVE; ESA, Jun 2023, Frascati (Rome), Italy. ⟨hal-04264760⟩
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