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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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CubaPrec1: A 48 years long term gridded daily precipitation dataset at very high-resolution for Cuba.

Authors: Centella-Artola, Abel; Bezanilla-Morlot, Arnoldo; Serrano-Notivoli, Roberto; Vázquez-Montenegro, Ranses; Sierra-Lorenzo, Maibys; Chang-Dominguez, Dayron;

CubaPrec1: A 48 years long term gridded daily precipitation dataset at very high-resolution for Cuba.

Abstract

CubaPrec1 is a new high-resolution gridded dataset for daily precipitation across Cuba from 1961-2008. The dataset was built using the information from the data series of 630 stations from the network operated by the National Institute of Water Resources. The original station data series were quality controlled using a spatial coherence process of the data, and the missing values were estimated on each day and location independently. Using the filled data series, a grid of 3 × 3 km spatial resolution was constructed by estimating daily precipitation and their corresponding uncertainties at each grid box. This new product represents a precise spatiotemporal distribution of precipitation in Cuba and provides a useful baseline for future studies in hydrology, climatology, and meteorology.

Keywords

Rainfall Quality Control, Daily rainfall, Cuba, Rainfall time series reconstruction

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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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