Nature Communications (Apr 2022)

A deep learning-based hybrid model of global terrestrial evaporation

  • Akash Koppa,
  • Dominik Rains,
  • Petra Hulsman,
  • Rafael Poyatos,
  • Diego G. Miralles

DOI
https://doi.org/10.1038/s41467-022-29543-7
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

Read online

Global evaporation is a key climatic process that remains highly uncertain. Here, the authors shed light on this process with a novel hybrid model that integrates a deep learning representation of ecosystem stress within a physics-based framework.