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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Universidade Federal de Campina Grande
2022-10-01
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| 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. |
| format | Article |
| id | doaj-art-311dcfaf2f1240aa946d2efa9ca0bb13 |
| institution | Kabale University |
| issn | 1807-1929 |
| language | English |
| publishDate | 2022-10-01 |
| publisher | Universidade Federal de Campina Grande |
| record_format | Article |
| 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 |
| work_keys_str_mv | AT marlussabino gapfillingmeteorologicaldataseriesusingthegapmetsoftwareinthestateofmatogrossobrazil AT adilsonpdesouza gapfillingmeteorologicaldataseriesusingthegapmetsoftwareinthestateofmatogrossobrazil |