Cargando…

UKGrsHP: a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset

There is an urgent need for high-quality and high-spatial-resolution hourly precipitation products around the globe, including the UK. Although hourly precipitation products exist for the UK, these either contain large errors, or are insufficient in spatial resolution. An efficient way to solve this...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Jingjing, Li, Xiao-Feng, Lewis, Elizabeth, Blenkinsop, Stephen, Fowler, Hayley J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089634/
https://www.ncbi.nlm.nih.gov/pubmed/32226231
http://dx.doi.org/10.1007/s00382-020-05144-2
_version_ 1783509774181072896
author Yu, Jingjing
Li, Xiao-Feng
Lewis, Elizabeth
Blenkinsop, Stephen
Fowler, Hayley J.
author_facet Yu, Jingjing
Li, Xiao-Feng
Lewis, Elizabeth
Blenkinsop, Stephen
Fowler, Hayley J.
author_sort Yu, Jingjing
collection PubMed
description There is an urgent need for high-quality and high-spatial-resolution hourly precipitation products around the globe, including the UK. Although hourly precipitation products exist for the UK, these either contain large errors, or are insufficient in spatial resolution. An efficient way to solve this is to develop a merged precipitation product that combines the information and benefits from multiple data sources, improving both the spatial resolution and accuracy of hourly precipitation estimates over the UK. In this study, we develop a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis: the UKGrsHP. It covers the UK from 12.5° W to  3.5° E, 49° N–60° N, with a spatial resolution of 0.01° × 0.01° in latitude/longitude (equivalent to 1 km resolution in the mid-latitudes). An optimal interpolation (OI)–based multi-source merging scheme with compound strategy is developed and tested for producing the UKGrsHP. Three input data sources are used: gauge analysis data interpolated from 1903 quality-controlled hourly observations, the UK Nimrod radar precipitation analysis and the GSMaP global satellite precipitation analysis. Using independent tests against ~ 220 independent gauge observations on 1 year’s experimental UKGrsHP, covering the period from January to December 2014, we find that the final merged data performs better than three individual precipitation analyses used as inputs. A full version of the UKGrsHP starting in April 2004 is now under production, which will have wide applications in climate services and scientific research across multiple disciplines. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00382-020-05144-2) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-7089634
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-70896342020-03-26 UKGrsHP: a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset Yu, Jingjing Li, Xiao-Feng Lewis, Elizabeth Blenkinsop, Stephen Fowler, Hayley J. Clim Dyn Article There is an urgent need for high-quality and high-spatial-resolution hourly precipitation products around the globe, including the UK. Although hourly precipitation products exist for the UK, these either contain large errors, or are insufficient in spatial resolution. An efficient way to solve this is to develop a merged precipitation product that combines the information and benefits from multiple data sources, improving both the spatial resolution and accuracy of hourly precipitation estimates over the UK. In this study, we develop a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis: the UKGrsHP. It covers the UK from 12.5° W to  3.5° E, 49° N–60° N, with a spatial resolution of 0.01° × 0.01° in latitude/longitude (equivalent to 1 km resolution in the mid-latitudes). An optimal interpolation (OI)–based multi-source merging scheme with compound strategy is developed and tested for producing the UKGrsHP. Three input data sources are used: gauge analysis data interpolated from 1903 quality-controlled hourly observations, the UK Nimrod radar precipitation analysis and the GSMaP global satellite precipitation analysis. Using independent tests against ~ 220 independent gauge observations on 1 year’s experimental UKGrsHP, covering the period from January to December 2014, we find that the final merged data performs better than three individual precipitation analyses used as inputs. A full version of the UKGrsHP starting in April 2004 is now under production, which will have wide applications in climate services and scientific research across multiple disciplines. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00382-020-05144-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-02-07 2020 /pmc/articles/PMC7089634/ /pubmed/32226231 http://dx.doi.org/10.1007/s00382-020-05144-2 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yu, Jingjing
Li, Xiao-Feng
Lewis, Elizabeth
Blenkinsop, Stephen
Fowler, Hayley J.
UKGrsHP: a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset
title UKGrsHP: a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset
title_full UKGrsHP: a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset
title_fullStr UKGrsHP: a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset
title_full_unstemmed UKGrsHP: a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset
title_short UKGrsHP: a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset
title_sort ukgrshp: a uk high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089634/
https://www.ncbi.nlm.nih.gov/pubmed/32226231
http://dx.doi.org/10.1007/s00382-020-05144-2
work_keys_str_mv AT yujingjing ukgrshpaukhighresolutiongaugeradarsatellitemergedhourlyprecipitationanalysisdataset
AT lixiaofeng ukgrshpaukhighresolutiongaugeradarsatellitemergedhourlyprecipitationanalysisdataset
AT lewiselizabeth ukgrshpaukhighresolutiongaugeradarsatellitemergedhourlyprecipitationanalysisdataset
AT blenkinsopstephen ukgrshpaukhighresolutiongaugeradarsatellitemergedhourlyprecipitationanalysisdataset
AT fowlerhayleyj ukgrshpaukhighresolutiongaugeradarsatellitemergedhourlyprecipitationanalysisdataset