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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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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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Claim

Global Hourly, 5-km, All-sky Land Surface Temperature (GHA-LST)

Research datakeyboard_double_arrow_right Dataset 10 Aug 2022 English Publisher:Zenodo
Authors: Aolin Jia; Shunlin Liang; Dongdong Wang; Lei Ma; Zhihao Wang; Shuo Xu;

doi: 10.5281/zenodo.7487243 , 10.5281/zenodo.6981704

Global Hourly, 5-km, All-sky Land Surface Temperature (GHA-LST)

Abstract

GHA-LST is a global hourly, 5-km, all-sky/gap-free/all-weather land surface temperature (LST) dataset, and the manuscript is being reviewed by Earth System Science Data (ESSD) https://doi.org/10.5194/essd-2022-284. Due to the storage limitation of Zenodo, the full dataset can be found at glass.umd.edu/allsky_LST/GHA-LST

Related Organizations
Keywords

gap-free, land surface temperature, hourly, diurnal temperature cycle, global

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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.
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.
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