Browse State-of-the-Art › NWP Post-processing
NWP Post-processing
1 paper with code · 0 benchmarks · 0 datasets archive 2025-07-28
Use the sequence of NWP predictions as input, aiming to predict a refined output, where the rainfall observations serve as ground truth to train the model.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
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Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
1 shown of 1 paper with code (1 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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4 Oct 2023 1 repository listedAccurate precipitation forecasting is a vital challenge of societal importance.
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