Quality control and filling of daily temperature and precipitation time series in Colombia

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dc.audienceInvestigador
dc.creatorTeran Chaves, Cesar Augusto
dc.creatorDuarte Carvajalino, Julio Martin
dc.creatorPolo Murcia, Sonia Mercedes
dc.date2024-02-22T20:51:20Z
dc.date2024-02-22T20:51:20Z
dc.date2021-07-02
dc.date2021
dc.date.accessioned2026-06-27T04:38:17Z
dc.descriptionDuring the last several years, there has been an increase in the monitoring of meteorological phenomena. For accurate analysis of the spatial and temporal variability of precipitation as well as air temperature, recorded observations must be trustworthy. Therefore, one must implement effective methods for assuring data quality. This paper implements meteorological data quality controls using open-source Python code. We implemented six types of automatic quality-control processes for climatic data series. This work also introduces a quality index for meteorological time series data and uses three-dimensional kriging to fill in missing data. We apply these methods to daily historical data from 1980 to 2019 from the Institute of Hydrology, Meteorology, and Environmental Studies of Colombia. Applying the quality-control process to the available meteorological stations allows us to validate more than 90 % of the time series. We find that approximately 6.4 %, 4.4 %, 5.4 %, and 5.5 % of the data are flagged as atypical values in the time series of minimum temperature, mean temperature, maximum temperature, and precipitation, respectively. We verified the accuracy of the quality-control procedures by introducing multiplicative random errors and computing the probabilities of false positive and false negative errors. This procedure emphasizes the relationships between neighboring meteorological stations to detect errors in the data, even if they belong to different climatic regions. This analysis also implements a method of reconstructing missing data in the absence of a trustworthy reference time series.
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dc.identifierhttps://www.schweizerbart.de/papers/metz/detail/30/100139/Quality_control_and_filling_of_daily_temperature_and_precipitation_time_series_in_Colombia
dc.identifier0026-1211
dc.identifierhttp://hdl.handle.net/20.500.12324/38927
dc.identifier10.1127/metz/2021/1077
dc.identifierreponame:Biblioteca Digital Agropecuaria de Colombia
dc.identifierinstname:Corporación colombiana de investigación agropecuaria AGROSAVIA
dc.identifier.urihttp://hdl.handle.net/123456789/33839
dc.languageeng
dc.publisherSchweizerbart'sche Verlagsbuchhandlung
dc.relationMeteorologische Zeitschrift
dc.relation30
dc.relation6
dc.relation489
dc.relation501
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dc.rightsAttribution-ShareAlike 4.0 International
dc.rightshttp://creativecommons.org/licenses/by-sa/4.0/
dc.sourceMeteorologische Zeitschrift; Vol. 30, Núm. 6 (2021): Meteorologische Zeitschrift (Julio);p. 489 -501.
dc.subjectRecursos hídricos y su ordenación - P10
dc.subjectClima
dc.subjectAnálisis espacial
dc.subjectRecursos hídricos
dc.subjectTransversal
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_1665
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_40da9d3b
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_8325
dc.thumbnailhttps://repository.agrosavia.co/bitstreams/8cd7cabb-8578-4510-8ad6-c13520ef9084/download
dc.titleQuality control and filling of daily temperature and precipitation time series in Colombia
dc.typeArtículo científico

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