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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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MGP: a new 1-hourly 0.25° global precipitation product (2000-2020) based on multi-source precipitation data fusion

Authors: Hanqing Chen; Debao Wen; Yong, Bin; Gourley, Jonathan J.; Leyang Wang; Hong, Yang;

MGP: a new 1-hourly 0.25° global precipitation product (2000-2020) based on multi-source precipitation data fusion

Abstract

The multi-source merged global precipitation product (MGP; 0.25°/ hourly; 2000-2020; 60°N/S), which takes advantage of the complementary strengths of satellite, reanalysis, and gauge data to obtain reliable precipitation estimates over the global land surface, provides a new higher-quality precipitation dataset for data users to realize their respective research purposes and the social and economic activities. The data developers hope that MGP will play an important role in a variety of science communities (e.g., hydrology, meteorology, climatology, ecology, and agriculture).

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Keywords

global precipitation product, multi-source precipitation data fusion, MGP, precipitation, performance evaluation

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
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.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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140