27 citations · 45 across the 17 of their papers we have counts for
6 papers · 1 filter
NeuralCrop: Combining physics and machine learning for improved crop yield projections
Yunan Lin, Sebastian Bathiany, Maha Badri +6
Global gridded crop models (GGCMs) are crucial to project the impacts of climate change on agricultural productivity and assess associated risks for food security. Despite decades…
Anticipating AMOC transitions via deep learning
Wenjie Zhang, Yu Huang, Sebastian Bathiany +4
Key components of the Earth system can undergo abrupt and potentially irreversible transitions when the magnitude or rate of external forcing exceeds critical thresholds. In this s…
Decadal sink-source shifts of forest aboveground carbon since 1988
Zhen Qian, Sebastian Bathiany, Teng Liu +3
Forest ecosystems are vital to the global carbon cycle, yet their long-term aboveground carbon (AGC) dynamics remain uncertain. Here, we integrate multi-source satellite observatio…
The influence of data gaps and outliers on resilience indicators
Teng Liu, Andreas Morr, Sebastian Bathiany +5
The resilience, or stability, of major Earth system components is increasingly threatened by anthropogenic pressures, demanding reliable early warning signals for abrupt and irreve…
Generating realistic global precipitation fields from modelled atmospheric circulation
Michael Aich, Sebastian Bathiany, Philipp Hess +2
Improving the representation of precipitation in Earth system models (ESMs) is critical for assessing the impacts of climate change and especially of extreme events like floods and…
Reconciled warning signals in observations and models imply approaching AMOC tipping point
Yechul Shin, Ji-Hoon Oh, Sebastian Bathiany +8
Paleoclimate proxy records and models suggest that the Atlantic Meridional Overturning Circulation (AMOC) can transition abruptly between a strong and a weak state. Empirical warni…