It is widely known that daytime and nighttime temperatures are decisive factors for the exploration of certain crops; however their determination has always been difficult due to the way by which the meteorological readings were carried out. This study aims to adjust equations to estimate average nighttime temperatures (NT), daytime temperatures (DT), and daily average (AT) according to the instantaneous hourly temperatures. We used hourly data of instantaneous temperature during 2006 from the automatic station of São Joaquim, SC (Lat. 28 º 16'54''S, Long. 49 º 56'07''W, Alt 1408m). From the hourly instantaneous temperature data, values of DT, NT and AT were calculated. The daytime period was defined as being from 7:00 am to 7:00 pm. Linear regression analyses were done with the values of instantaneous temperature as independent variable and values of DT, NT and AT as dependent variables, and the best estimator was defined by the highest coefficient of determination. We selected the values of instantaneous temperature of 11:00 am, 12:00 am, and 8:00 pm as predictors of DT, NT and AT, respectively. General equations for DT, NT and AT estimation were also adjusted to the instantaneous temperatures at any time.
climatic modeling; linear regression; temperature of air
