Hannah M. Christensen

Environmental Research Letters · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hannah M. Christensen trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kevin P. Murphy (in Probabilistic & Bayesian Methods)

Papers from Hannah M. Christensen's perspective

Ordered by how strongly the researchers Hannah M. Christensen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. An overview of CMIP5 and the experiment design
  2. Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability (Nature)
  3. Statistical significance of climate sensitivity predictors obtained by data mining
  4. Neural Ordinary Differential Equations
  5. Could Machine Learning Break the Convection Parameterization Deadlock? (Geophysical Research Letters)
  6. Do alternative energy sources displace fossil fuels
  7. Tipping elements in the Earth's climate system (Proceedings of the National Academy of Sciences of the United States of America)
  8. Machine learning - a probabilistic perspective
  9. Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations
  10. Simulating regime structures in weather and climate prediction models

Their papers