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Recent years have seen substantial performance-improvements of deep-learning-basedweather prediction models (DLWPs). These models cover a large range of temporal andspatial resolutions—from nowcasting to seasonal forecasting and on scales ranging f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdbf02715439a05a328ba4158412dc2e
https://doi.org/10.5194/egusphere-egu23-16186
https://doi.org/10.5194/egusphere-egu23-16186
