Gap-filling meteorological data series using the GapMET software in the state of Mato Grosso, Brazil

ABSTRACT This paper aimed to introduce the GapMET software, developed by the authors, and evaluate the accuracy of its six methods for gap-filling the main meteorological variables monitored by weather station in the state of Mato Grosso, Brazil, using reference time series from neighbour weather st...

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Main Authors: Marlus Sabino, Adilson P. de Souza
Format: Article
Language:English
Published: Universidade Federal de Campina Grande 2022-10-01
Series:Revista Brasileira de Engenharia Agrícola e Ambiental
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000200149&tlng=en
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author Marlus Sabino
Adilson P. de Souza
author_facet Marlus Sabino
Adilson P. de Souza
author_sort Marlus Sabino
collection DOAJ
description ABSTRACT This paper aimed to introduce the GapMET software, developed by the authors, and evaluate the accuracy of its six methods for gap-filling the main meteorological variables monitored by weather station in the state of Mato Grosso, Brazil, using reference time series from neighbour weather station and/or remote sensing products. The methods were tested on seven different databases, with 25 to 80% artificial gaps, and their accuracy was given by the number of gaps left unfilled, the bias, the RMSE, and Pearson’s correlation. The GapMET software showed good results in filling meteorological gaps regardless of the method applied. Methods that use only one neighbour weather station as a reference series showed better results because, in the state, the minimum distance for a weather station to have at least three neighbours as reference was 350 km, reducing the climatic similarity between them and consequently the accuracy when more than one reference series were needed. The use of satellite reference series reduced the probability of unfilled gaps; however, it showed higher bias and RMSE and lower correlations.
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institution Kabale University
issn 1807-1929
language English
publishDate 2022-10-01
publisher Universidade Federal de Campina Grande
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series Revista Brasileira de Engenharia Agrícola e Ambiental
spelling doaj-art-311dcfaf2f1240aa946d2efa9ca0bb132025-08-20T03:55:12ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-19292022-10-0127214915610.1590/1807-1929/agriambi.v27n2p149-156Gap-filling meteorological data series using the GapMET software in the state of Mato Grosso, BrazilMarlus Sabinohttps://orcid.org/0000-0002-1911-2665Adilson P. de Souzahttps://orcid.org/0000-0003-4076-1093ABSTRACT This paper aimed to introduce the GapMET software, developed by the authors, and evaluate the accuracy of its six methods for gap-filling the main meteorological variables monitored by weather station in the state of Mato Grosso, Brazil, using reference time series from neighbour weather station and/or remote sensing products. The methods were tested on seven different databases, with 25 to 80% artificial gaps, and their accuracy was given by the number of gaps left unfilled, the bias, the RMSE, and Pearson’s correlation. The GapMET software showed good results in filling meteorological gaps regardless of the method applied. Methods that use only one neighbour weather station as a reference series showed better results because, in the state, the minimum distance for a weather station to have at least three neighbours as reference was 350 km, reducing the climatic similarity between them and consequently the accuracy when more than one reference series were needed. The use of satellite reference series reduced the probability of unfilled gaps; however, it showed higher bias and RMSE and lower correlations.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000200149&tlng=entime seriesmissing dataautomated weather stationsERA5-Land
spellingShingle Marlus Sabino
Adilson P. de Souza
Gap-filling meteorological data series using the GapMET software in the state of Mato Grosso, Brazil
Revista Brasileira de Engenharia Agrícola e Ambiental
time series
missing data
automated weather stations
ERA5-Land
title Gap-filling meteorological data series using the GapMET software in the state of Mato Grosso, Brazil
title_full Gap-filling meteorological data series using the GapMET software in the state of Mato Grosso, Brazil
title_fullStr Gap-filling meteorological data series using the GapMET software in the state of Mato Grosso, Brazil
title_full_unstemmed Gap-filling meteorological data series using the GapMET software in the state of Mato Grosso, Brazil
title_short Gap-filling meteorological data series using the GapMET software in the state of Mato Grosso, Brazil
title_sort gap filling meteorological data series using the gapmet software in the state of mato grosso brazil
topic time series
missing data
automated weather stations
ERA5-Land
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000200149&tlng=en
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AT adilsonpdesouza gapfillingmeteorologicaldataseriesusingthegapmetsoftwareinthestateofmatogrossobrazil