1.1k citations · 3k across the 33 of their papers we have counts for
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Deep Learning Based Cloud Cover Parameterization for ICON
Arthur Grundner, Tom Beucler, Pierre Gentine +3
A promising approach to improve cloud parameterizations within climate models and thus climate projections is to use deep learning in combination with training data from storm-reso…
Climate-Invariant Machine Learning
Tom Beucler, Pierre Gentine, Janni Yuval +10
Projecting climate change is a generalization problem: we extrapolate the recent past using physical models across past, present, and future climates. Current climate models requir…
On the Generalization of Agricultural Drought Classification from Climate Data
Julia Gottfriedsen, Max Berrendorf, Pierre Gentine +4
Climate change is expected to increase the likelihood of drought events, with severe implications for food security. Unlike other natural disasters, droughts have a slow onset and…
Zero-Shot Learning of Aerosol Optical Properties with Graph Neural Networks
Kara D. Lamb, Pierre Gentine
Aerosols sourced from combustion such as black carbon (BC) are important short-lived climate forcers whose direct radiative forcing and atmospheric lifetime depend on their morphol…
Global Gridded Daily CO Emissions
Xinyu Dou, Yilong Wang, Philippe Ciais +15
Precise and high-resolution carbon dioxide (CO) emission data is of great importance of achieving the carbon neutrality around the world. Here we present for the first time the…
Causal inference for process understanding in Earth sciences
Adam Massmann, Pierre Gentine, Jakob Runge
There is growing interest in the study of causal methods in the Earth sciences. However, most applications have focused on causal discovery, i.e. inferring the causal relationships…
Unprecedented decarbonization of China's power system in the post-COVID era
Biqing Zhu, Rui Guo, Zhu Deng +7
In October of 2020, China announced that it aims to start reducing its carbon dioxide (CO2) emissions before 2030 and achieve carbon neutrality before 20601. The surprise announcem…
Global Daily CO emissions for the year 2020
Zhu Liu, Zhu Deng, Philippe Ciais +25
The diurnal cycle CO emissions from fossil fuel combustion and cement production reflect seasonality, weather conditions, working days, and more recently the impact of the COVI…
De-carbonization of global energy use during the COVID-19 pandemic
Zhu Liu, Biqing Zhu, Philippe Ciais +15
The COVID-19 pandemic has disrupted human activities, leading to unprecedented decreases in both global energy demand and GHG emissions. Yet a little known that there is also a low…
Transportation CO emissions stayed high despite recurrent COVID outbreaks
Yilong Wang, Zhu Deng, Philippe Ciais +5
After steep drops and then rebounds in transportation-related CO emissions over the first half of 2020, a second wave of COVID-19 this fall has caused further -- but less subst…