Reweigh Temperature as Estimator for Evaluation and Prediction

This study aimed to develop estimator for evaluation of reweigh temperature for prediction research extent. Research conducted in Jabalpur district of Madhya Pradesh, India, which comes under the humid subtropical climate region. Temperature recorded at one hour, two hour or three hour either side of maximum temperature may be averaged to get a plateaued value for that much time period. Hourly data on temperature recorded at Weather Underground site are regrouped into different temperature forms namely average of maximum and minimum temperature (Tav), weighted temperature (Twt), maximum temperature (Tmax), Temperature plateaued one hour, two hour and three hour either side of maximum temperature (Tp2, Tp4 and Tp6 respectively). These temperature forms are plotted for all twelve months. Integration of Tav and Tmax was done for estimation of weighted temperature. Values of coefficient of determination raised from fitting of linear regression between each of temperature form; Tmax, Tav, Twt, Tp2 Tp4 and Tp6 with actual pan evaporation. Data set comprises of daily records separately for all twelve months. Daily records are also regrouped into four more categories i.e. for whole year (365 days), hot months (April-May), cold months (December- January) and wet months (July-August). Though the r-squared values are found very low and explains that temperature alone cannot be taken as predictor of evaporation, which is a well comparative fact, but the purpose of presenting these values here to show the comparative effect of different temperature forms on evaporation. In hot months, the Twt with r-squared values of 0.49 seems to be more correlated than other temperature forms. But, in cold months Tmax, Tp2, Tp4 and Tp6 have more influence on evaporation than the Tav or Twt. The research outcome of the present study will be helpful to estimation of reweigh temperature rather average of maximum and minimum temperature for use in prediction research work.