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Development of a gridded meteorological dataset over Java island, Indonesia 1985–2014
We describe a gridded daily meteorology dataset consisting of precipitation, minimum and maximum temperature over Java Island, Indonesia at 0.125°×0.125° (~14 km) resolution spanning 30 years from 1985–2014. Importantly, this data set represents a marked improvement from existing gridded data sets o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441288/ https://www.ncbi.nlm.nih.gov/pubmed/28534871 http://dx.doi.org/10.1038/sdata.2017.72 |
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author | Yanto Livneh, Ben Rajagopalan, Balaji |
author_facet | Yanto Livneh, Ben Rajagopalan, Balaji |
author_sort | Yanto |
collection | PubMed |
description | We describe a gridded daily meteorology dataset consisting of precipitation, minimum and maximum temperature over Java Island, Indonesia at 0.125°×0.125° (~14 km) resolution spanning 30 years from 1985–2014. Importantly, this data set represents a marked improvement from existing gridded data sets over Java with higher spatial resolution, derived exclusively from ground-based observations unlike existing satellite or reanalysis-based products. Gap-infilling and gridding were performed via the Inverse Distance Weighting (IDW) interpolation method (radius, r, of 25 km and power of influence, α, of 3 as optimal parameters) restricted to only those stations including at least 3,650 days (~10 years) of valid data. We employed MSWEP and CHIRPS rainfall products in the cross-validation. It shows that the gridded rainfall presented here produces the most reasonable performance. Visual inspection reveals an increasing performance of gridded precipitation from grid, watershed to island scale. The data set, stored in a network common data form (NetCDF), is intended to support watershed-scale and island-scale studies of short-term and long-term climate, hydrology and ecology. |
format | Online Article Text |
id | pubmed-5441288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54412882017-06-07 Development of a gridded meteorological dataset over Java island, Indonesia 1985–2014 Yanto Livneh, Ben Rajagopalan, Balaji Sci Data Data Descriptor We describe a gridded daily meteorology dataset consisting of precipitation, minimum and maximum temperature over Java Island, Indonesia at 0.125°×0.125° (~14 km) resolution spanning 30 years from 1985–2014. Importantly, this data set represents a marked improvement from existing gridded data sets over Java with higher spatial resolution, derived exclusively from ground-based observations unlike existing satellite or reanalysis-based products. Gap-infilling and gridding were performed via the Inverse Distance Weighting (IDW) interpolation method (radius, r, of 25 km and power of influence, α, of 3 as optimal parameters) restricted to only those stations including at least 3,650 days (~10 years) of valid data. We employed MSWEP and CHIRPS rainfall products in the cross-validation. It shows that the gridded rainfall presented here produces the most reasonable performance. Visual inspection reveals an increasing performance of gridded precipitation from grid, watershed to island scale. The data set, stored in a network common data form (NetCDF), is intended to support watershed-scale and island-scale studies of short-term and long-term climate, hydrology and ecology. Nature Publishing Group 2017-05-23 /pmc/articles/PMC5441288/ /pubmed/28534871 http://dx.doi.org/10.1038/sdata.2017.72 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Yanto Livneh, Ben Rajagopalan, Balaji Development of a gridded meteorological dataset over Java island, Indonesia 1985–2014 |
title | Development of a gridded meteorological dataset over Java island, Indonesia 1985–2014 |
title_full | Development of a gridded meteorological dataset over Java island, Indonesia 1985–2014 |
title_fullStr | Development of a gridded meteorological dataset over Java island, Indonesia 1985–2014 |
title_full_unstemmed | Development of a gridded meteorological dataset over Java island, Indonesia 1985–2014 |
title_short | Development of a gridded meteorological dataset over Java island, Indonesia 1985–2014 |
title_sort | development of a gridded meteorological dataset over java island, indonesia 1985–2014 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441288/ https://www.ncbi.nlm.nih.gov/pubmed/28534871 http://dx.doi.org/10.1038/sdata.2017.72 |
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