mlsanityData to 7 Oct 2026

Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia

arXiv 2112.12966 ↗First posted 24 Dec 2021cs.LG physics.ao-phcited by 0

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Abstract (arXiv)

This survey focuses on the current problems in Earth systems science where machine learning algorithms can be applied. It provides an overview of previous work, ongoing work at the Ministry of Earth Sciences, Gov. of India, and future applications of ML algorithms to some significant earth science problems. We provide a comparison of previous work with this survey, a mind map of multidimensional areas related to machine learning and a Gartner's hype cycle for machine learning in Earth system science (ESS). We mainly focus on the critical components in Earth Sciences, including atmospheric, Ocean, Seismology, and biosphere, and cover AI/ML applications to statistical downscaling and forecasting problems.

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17 of 83 references.

References · 17

  1. 2015Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcastingcited by 1,428
  2. 2014Image Super-Resolution Using Deep Convolutional Networkscited by 1,218
  3. 2020Time Series Forecasting With Deep Learning: A Surveycited by 457
  4. 2019Tackling Climate Change with Machine Learningcited by 264
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  6. 2017DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolutioncited by 80
  7. 2019Machine Learning for Precipitation Nowcasting from Radar Imagescited by 56
  8. 2020Deep Learning for Post-Processing Ensemble Weather Forecastscited by 52
  9. 2017A trans-disciplinary review of deep learning research for water resources scientistscited by 47
  10. 2020Combining data assimilation and machine learning to infer unresolved scale parametrisationcited by 40
  11. 2020A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resourcescited by 30
  12. 2020Climbing down Charney's ladder: Machine Learning and the post-Dennard era of computational climate sciencecited by 18
5 more
  1. 2019Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Datacited by 12
  2. 2020Deep-learning based down-scaling of summer monsoon rainfall data over Indian regioncited by 10
  3. 2020Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projectionscited by 9
  4. 2019Deep learning for seismic phase detection and picking in the aftershock zone of 2008 Mw7.9 Wenchuan earthquakecited by 7
  5. 2019Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problemcited by 4

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