A high-resolution daily gridded meteorological dataset for Serbia made by Random Forest Spatial Interpolation

Aleksandar Sekulić; Milan Kilibarda; Dragutin Protić; Branislav Bajat

doi:10.1038/s41597-021-00901-2

Scientific Data (Apr 2021)

A high-resolution daily gridded meteorological dataset for Serbia made by Random Forest Spatial Interpolation

Aleksandar Sekulić,
Milan Kilibarda,
Dragutin Protić,
Branislav Bajat

Affiliations

Aleksandar Sekulić: University of Belgrade, Faculty of Civil Engineering, Department of Geodesy and Geoinformatics
Milan Kilibarda: University of Belgrade, Faculty of Civil Engineering, Department of Geodesy and Geoinformatics
Dragutin Protić: University of Belgrade, Faculty of Civil Engineering, Department of Geodesy and Geoinformatics
Branislav Bajat: University of Belgrade, Faculty of Civil Engineering, Department of Geodesy and Geoinformatics

DOI: https://doi.org/10.1038/s41597-021-00901-2
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 12

Abstract

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Measurement(s) temperature of air • pressure • volume of hydrological precipitation Technology Type(s) weather station Factor Type(s) digital elevation model (DEM) • topographic wetness index (TWI) • Tropical Rainfall Measuring Mission/Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (TRMM/IMERG) Sample Characteristic - Environment climate Sample Characteristic - Location Serbia Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14102393

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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