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Daily rainfall nearest neighbor pattern using point data series in Iran

In this data study, assessment of daily rainfall nearest neighbor׳s patterns (DRBBP) was described in Iran. This article presents some spatial patterns of daily rainfall nearest neighbor׳s patterns for Iran from 170 stations and 31195 rainfall points by comparing ordinary kriging techniques based on...

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Autor principal: Javari, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141148/
https://www.ncbi.nlm.nih.gov/pubmed/30229016
http://dx.doi.org/10.1016/j.dib.2018.06.021
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author Javari, Majid
author_facet Javari, Majid
author_sort Javari, Majid
collection PubMed
description In this data study, assessment of daily rainfall nearest neighbor׳s patterns (DRBBP) was described in Iran. This article presents some spatial patterns of daily rainfall nearest neighbor׳s patterns for Iran from 170 stations and 31195 rainfall points by comparing ordinary kriging techniques based on the forecast models. For the nearest neighbor׳s patterns of the daily rainfall, rainfall data series of 1975–2014 was employed to estimate the point data of daily rainfall. The statistical properties were analyzed to indicate an increase in dispersed variability patterns of daily rainfall in Iran. Dispersed patterns were selected as the best nearest neighbor׳s models to model daily rainfall variability. The data results will help climatologists and hydrologists in model assessment and planning of natural environment in Iran.
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spelling pubmed-61411482018-09-18 Daily rainfall nearest neighbor pattern using point data series in Iran Javari, Majid Data Brief Environmental Science In this data study, assessment of daily rainfall nearest neighbor׳s patterns (DRBBP) was described in Iran. This article presents some spatial patterns of daily rainfall nearest neighbor׳s patterns for Iran from 170 stations and 31195 rainfall points by comparing ordinary kriging techniques based on the forecast models. For the nearest neighbor׳s patterns of the daily rainfall, rainfall data series of 1975–2014 was employed to estimate the point data of daily rainfall. The statistical properties were analyzed to indicate an increase in dispersed variability patterns of daily rainfall in Iran. Dispersed patterns were selected as the best nearest neighbor׳s models to model daily rainfall variability. The data results will help climatologists and hydrologists in model assessment and planning of natural environment in Iran. Elsevier 2018-06-19 /pmc/articles/PMC6141148/ /pubmed/30229016 http://dx.doi.org/10.1016/j.dib.2018.06.021 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Environmental Science
Javari, Majid
Daily rainfall nearest neighbor pattern using point data series in Iran
title Daily rainfall nearest neighbor pattern using point data series in Iran
title_full Daily rainfall nearest neighbor pattern using point data series in Iran
title_fullStr Daily rainfall nearest neighbor pattern using point data series in Iran
title_full_unstemmed Daily rainfall nearest neighbor pattern using point data series in Iran
title_short Daily rainfall nearest neighbor pattern using point data series in Iran
title_sort daily rainfall nearest neighbor pattern using point data series in iran
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141148/
https://www.ncbi.nlm.nih.gov/pubmed/30229016
http://dx.doi.org/10.1016/j.dib.2018.06.021
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