How Can Artificial Intelligence Enhance Our Understanding of the Earth System?
DOI:
https://doi.org/10.21036/LTPUB10819Researcher
Markus Reichstein has been director at the Max-Planck-Institute for Biogeochemistry since 2012, heading the Department of Biogeochemical Integration. Additionally Reichstein is Prof. for Global Ecology at the Friedrich-Schiller University Jena and founding director of the ELLIS Unit Jena and the ELLIS program "Machine learning for Earth and Climate science". His main research interests revolve around questions of how ecosystems respond to climate variability and extremes, with a strong emphasis on integration of machine learning and system modelling to solve these questions. Since 2014, Reichstein has been a member of the Climate Panel for the German State of Thuringia. A previous winner Microsoft’s Jim Gray seed award for excellence in e-science, Reichstein was the 2020 recipient of Germany’s most generously endowed research grant, the German Research Foundation’s (DRG) Gottfried Wilhelm Leibniz Prize.
Original Publication
Deep Learning and Process Understanding for Data-Driven Earth System Science
Markus Reichstein
,Gustau Camps‐Valls
,Björn Stevens
,Martin Jung
,Joachim Denzler
,Published in 2019
