Thomas Lees

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 Thomas Lees trusts

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

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

Papers from Thomas Lees's perspective

Ordered by how strongly the researchers Thomas Lees 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. Do alternative energy sources displace fossil fuels
  6. Could Machine Learning Break the Convection Parameterization Deadlock? (Geophysical Research Letters)
  7. Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations
  8. Machine learning - a probabilistic perspective
  9. Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
  10. Simulating regime structures in weather and climate prediction models

Their papers