The FLUXCOM ensemble of global land-atmosphere energy fluxes

Although a key driver of Earth’s climate system, global land-atmosphere energy fluxes are poorly constrained. Here we use machine learning to merge energy flux measurements from FLUXNET eddy covariance towers with remote sensing and meteorological data to estimate global gridded net radiation, laten...

Descripción completa

Detalles Bibliográficos
Autores principales: Jung, Martin, Koirala, Sujan, Weber, Ulrich, Ichii, Kazuhito, Gans, Fabian, Camps-Valls, Gustau, Papale, Dario, Schwalm, Christopher, Tramontana, Gianluca, Reichstein, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6536554/
https://www.ncbi.nlm.nih.gov/pubmed/31133670
http://dx.doi.org/10.1038/s41597-019-0076-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6536554/
https://www.ncbi.nlm.nih.gov/pubmed/31133670
http://dx.doi.org/10.1038/s41597-019-0076-8

Ejemplares similares