{"id":"doi:10.1029/2019ms001705","kind":"article","title":"Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500‐hPa Geopotential Height From Historical Weather Data","authors":["Jonathan A. Weyn","Dale R. Durran","Rich Caruana"],"author_count":3,"year":2019,"published":"2019-07-20","venue":"Journal of Advances in Modeling Earth Systems","cited_by":348,"doi":"10.1029/2019ms001705","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1029/2019ms001705","archive_url":"https://space-kitty.com/papers/doi:10.1029/2019ms001705","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2963973018","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2019MS001705","abstract":null,"abstract_license":null,"license":"cc-by-nc-nd","is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":["Meteorological Phenomena and Simulations"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-weather-climate","name":"AI Weather & Climate Modeling","domain_slug":"energy"}],"cited_in_dossiers":[]}