PhD candidate at Max Planck Institute for Biogeochemistry (@MPI_BGC) studying Climate & Earth sciences using artificial intelligence and hybrid modelling.
Joined August 2013
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🚀 New preprint alert! Introducing H2CM – a global hybrid model that fuses process-informed deep learning with multi‑source observations to couple terrestrial water & carbon cycles. Check it out: doi.org/10.5194/egusphere-20…
@Reichstein_BGC, B. Kraft, B. Ahrens, M. Korner, M. Jung
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Zavud Baghirov retweeted
Excited to share our new preprint in @EGU_BioGeo! We looked into how different nutrient balances affect the carbon dynamics in a savanna ecosystem.
@sclee_micromet @Jacobnelson18 @richardnair @BgcYluo @VRolo_ @Reichstein_BGC
Check it out!:
Discussion open for comments on @EgUsphere: Altered Seasonal Sensitivity of Net Ecosystem Exchange to Controls Driven by Nutrient Balances in a Semi-arid Savanna doi.org/10.5194/egusphere-20…
Excited to share our new preprint on @EgUsphere: We combined deep learning 🤖 and a process-based model to simulate global water cycle processes. 🌍💧
We highlight and integrate vegetation dynamics in the model. Check it out:
M. Jung, @Reichstein_BGC, M. Körner and @BasilKraft
Discussion open for comments on @EgUsphere: H2MV (v1.0): Global Physically-Constrained Deep Learning Water Cycle Model with Vegetation doi.org/10.5194/egusphere-20…
Zavud Baghirov retweeted
Discussion open for comments on @EgUsphere: H2MV (v1.0): Global Physically-Constrained Deep Learning Water Cycle Model with Vegetation doi.org/10.5194/egusphere-20…
I have always been fascinated by the mutual and concerned about the destructive relationship between humans and plants. My mental imagination was similar to the one in this animation.
Thanks to #RStats, #rayrender & #raybonsai (by @tylermorganwall) and flametree (by @djnavarro)