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New postdoctoral positions available at Carnegie Science (on Stanford's campus) as part of a Max Planck International Center on land surface modeling. We are broadly looking for researchers whose work can be used to develop land models. Come work with us! jobs.carnegiescience.edu/jobs/postdocto…

KGML, knowledge guided machine learning, uses both data and domain theory for scientific discovery, led by Prof. Vipin Kumar at U Minnesota. KGML overcomes limitations of process-based models or data science alone, provide high predictive power, and advance our understanding.

How does internal climate variability affect global carbon cycle? Research by Prof. Bastos at U Leipzig shows that atmospheric circulation explains 86% of variability in net ecosystem productivity of forced simulation, explained to the 7th training course on land carbon modeling

How does artificial intelligence, AI, facilitate scientific discovery? That’s an issue explored by Feng Tao Feng Tao 陶鳳 at Cornell U. on SOC storage. He showed how a parameter, gravity, influences his weight on Earth, Moon, and Jupiter. Constraining it leads to prediction convergence

2nd edition of Land Carbon Cycle Modeling offers four techniques, matrix approach, data assimilation, ecological forecasting, and machine learning, to analyze carbon cycle. It has 43 chapters written by 25 authors, including 8 chapters on machine learning. Ebook is free.

Accepting abstract on land carbon cycle modeling.

Accepting abstracts on soils as a solution to climate change for AGU24.

Widely observed unimodal temperature response of ecosystem responses across different scales. That is in contrast with exponential temperature responses commonly used n models. Our existing paradigm of temperature responses are f respiration needs to be revised.

All excellent talks

A new estimate of global GPP at 157 GtC/yr means the land biosphere has a higher capacity to take up more carbon dioxide from the atmosphere, altering designs of carbon dioxide removal strategies to mitigate climate change. news.cornell.edu/stories/2024/1…

Newly published paper in Nature on plant production declining substantially with drought, more so over time, in Eurasian grasslands but less severe and more muted over time in North American grasslands. Led by Qiang Yu @bjfu, ⁦Alan Knapp⁩ etc. nature.com/articles/s4158…

Two more days to apply for attending the 8th training course, New Advances in Land Carbon Cycle Modeling, at forms.office.com/pages/response…. It covers new theory of land carbon cycle dynamics, matrix approach, data assimilation, ecological forecasting, and machine learning.