# Physics-informed machine learning: case studies for weather and climate modelling

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/physics-informed-machine-learning-case-studies-for-weather-and-climate-modelling/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Karthik Kashinath,Mohamed Elhafiz Mustafa,Adrian Albert,Jinlong Wu,Chung-Hsiang Jiang,Soheil Esmaeilzadeh,Kamyar Azizzadenesheli,Rui Wang,Ashesh Chattopadhyay,Aakanksha Singh,A. Manepalli,Dragos B. Chirila,Rose Yu,Robin Walters,Brian White,Heng Xiao,Hamdi A. Tchelepi,Philip Marcus,Anima Anandkumar,Pedram Hassanzadeh,Prabhat |
| Citations | 658 |
| DOI | 10.1098/rsta.2020.0093 |
| Fields | Earth and Planetary Sciences,Environmental Science,Physics and Astronomy |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3133294546 |
| PMID | 33583262 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Anima Anandkumar](https://scholariq.org/researchers/anima-anandkumar/)

## Paper primary topic

- [Meteorological Phenomena and Simulations](https://scholariq.org/topics/meteorological-phenomena-and-simulations/)

## Paper topics

- [Meteorological Phenomena and Simulations](https://scholariq.org/topics/meteorological-phenomena-and-simulations/)
- [Climate variability and models](https://scholariq.org/topics/climate-variability-and-models/)
- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.