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Dataset . 2023
License: CC BY
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Dataset . 2023
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High-Resolution Daily Precipitation Data over the Philippines (Alcantara and Ahn, 2023)

Authors: Alcantara Angelika, L.; Kuk-Hyun, Ahn;

High-Resolution Daily Precipitation Data over the Philippines (Alcantara and Ahn, 2023)

Abstract

The high-resolution nationwide 20-year (2001-2020) daily precipitation data over the Philippines generated by Alcantara and Ahn (2023) is a dataset that provides daily precipitation data for the entire country with a spatial resolution of 0.1° x 0.1°. This dataset is created using the Quadruple Collocation (QC) approach, which combines four parent datasets - ERA5, PERSIANN, CHIRPS, and GPM - to produce a more accurate dataset than any of the individual parent datasets. The dataset is available in NetCDF format (version 4), which is a standardized data format commonly used for the exchange of large data files. This format can be read using major programming languages such as R, Python, C++, and others, making it easily accessible for use in various research applications. With its high spatial and temporal resolution, the dataset can be a valuable resource for climate research, hydrological modeling, and other related fields. In the future, data from 2021 up to present will also be added.

{"references": ["Alcantara, A. L., & Ahn, K. H. (2023). Improving Daily Precipitation Estimates over the Philippines through the Quadruple Collocation-Based Error Estimation and Data Merging Approach. Journal of Hydrology. Manuscript submitted for publication."]}

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Keywords

Philippines, Precipitation, Quadruple Collocation

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