E. Jeffers
Environmental Research Letters · 2014–2019
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom E. Jeffers trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from E. Jeffers's perspective
Ordered by how strongly the researchers E. Jeffers trusts endorse each paper. Same corpus, a different order for every researcher.
- An overview of CMIP5 and the experiment design
- Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability (Nature)
- Statistical significance of climate sensitivity predictors obtained by data mining
- Neural Ordinary Differential Equations
- Detecting Causality in Complex Ecosystems
- Machine learning - a probabilistic perspective
- Could Machine Learning Break the Convection Parameterization Deadlock? (Geophysical Research Letters)
- Anticipating Critical Transitions (Science)
- Tipping elements in the Earth's climate system (Proceedings of the National Academy of Sciences of the United States of America)
- Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations
Their papers
- Machine learning and artificial intelligence to aid climate change research and preparedness (2019) — 338 citations
- Shrub growth and expansion in the Arctic tundra: an assessment of controlling factors using an evidence-based approach (2017) — 142 citations
- Safe and just operating spaces for regional social-ecological systems (2014) — 434 citations
- Looking forward through the past: identification of 50 priority research questions in palaeoecology (2014) — 254 citations