Deep learning and process understanding for data-driven Earth system science
Markus Reichstein(Max Planck Institute for Biogeochemistry), Joachim Denzler(Ernst Abbe University of Applied Sciences Jena), Gustau Camps‐Valls(Universitat de València), Björn Stevens(University of California, Los Angeles), Nuno Carvalhais(Max Planck Institute for Biogeochemistry), Martin Jung(International Institute for Applied Systems Analysis)
Cited by 5,339
Related Papers
Europe-wide reduction in primary productivity caused by the heat and drought in 2003
|Nature|2005|4.2k
TRY – a global database of plant traits
|Global Change Biology|2011|2.7k
Changes in Climate Extremes and their Impacts on the Natural Physical Environment
|Cambridge University Press eBooks|2012|2.4k
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
|Scientific Data|2020|1.8k
Climate and carbon cycle changes from 1850 to 2100 in MPI‐ESM simulations for the Coupled Model Intercomparison Project phase 5
|Journal of Advances in Modeling Earth Systems|2013|1.8k