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Dataset . 2022
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Forecasting the July Precipitation over the middle-lower reaches of the Yangtze River with a flexible statistical model

Authors: Jiang, Qixiao; Shi, Xiangjun;

Forecasting the July Precipitation over the middle-lower reaches of the Yangtze River with a flexible statistical model

Abstract

The archive.zip contains the MLYR forecast system codes, data, results and all the figures which used in the paper“Forecasting the July Precipitation over the middle-lower reaches of the Yangtze River with a flexible statistical model.” The MLYR forecast system codes of each experiment used in this study are under the directory of RegMLYR. The observed data of sea surface temperature and precipitation used in the experiments are under the directory of ObsData. The NCL and Python scripts used for figures in the paper are under the directory of Figuers. The forecasting results of each experiment in this paper are under the directory of Results.

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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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