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Dataset . 2022
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Shanghai-2020 Dataset

Authors: Leiming Ma; Lei Chen; Qian Li; Yechao Xu;

Shanghai-2020 Dataset

Abstract

It is released by the Shanghai Central Meteorological Observatory (SCMO) in 2020, records serval years of historical precipitation events in the Yangtze River delta area. The dataset contains a total of 43000 samples of precipitation events, of which 40000 samples for training and 3000 samples for testing. Each sample consists of 20 consecutive radar echo frames and lasts for 3 hours, where the first 10 frames are with intervals of 6 minutes and the last 10 frames are with intervals of 12 minutes. The echo frame has 460 * 460 resolution and covers 460km * 398km region. We additionally split out 3000 samples from the training set and use them for validation.

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Keywords

Weather Observations, Radar Echoes

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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