Environmental Data Science

Additional Metrics

Top Publications

• Neural network attribution methods for problems in geoscience: A novel synthetic benchmark dataset

  (2021)
  69 Citations

• Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks

  (2022)
  50 Citations

• Physics-informed learning of aerosol microphysics

  (2022)
  27 Citations

• Evolution of machine learning in environmental science—A perspective

  (2022)
  25 Citations

• Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning

  (2022)
  16 Citations

• Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks

  (2022)
  13 Citations

• A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections

  (2022)
  12 Citations

• Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour average ozone prediction

  (2022)
  9 Citations

• Sinh-arcsinh-normal distributions to add uncertainty to neural network regression tasks: Applications to tropical cyclone intensity forecasts

  (2023)
  8 Citations

• Understanding cirrus clouds using explainable machine learning

  (2023)
  3 Citations