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| Radons,Sidinei Z.; Heldwein,Arno B.; Loose,Luís H.; Bortoluzzi,Mateus P.; Brand,Silvane I.; Engers,Lana B. de O.. |
| ABSTRACT There are several fields that require knowledge of air temperature variation throughout the day, such as disease prediction or calculation of chill-hours. However, automatic meteorological stations are not always located in the vicinity to accurately monitor this variable. In this sense, models that describe the daily temporal variation of air temperature can be used to meet this demand, and transform the climatic data series of conventional meteorological stations into an estimated hourly series. The aim of this study was to adjust and validate models for the hourly air temperature variation through data obtained at internationally agreed times (0, 12 and 18 h Universal Time Coordinated: UTC) and the daily minimum air temperature. The hourly... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Meteorological data; Sinusoidal and linear models; Weather station. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019001100807 |
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