For a century or so,the Hong Kong Observatory (HKO) has been providing temperature forecast for the whole of Hong Kong with the HKO Headquarters as the reference location.In recent decades,due to spreading of population from the main urban center to satellite towns,there is an increasing demand for regional temperature forecasts.To support such provision,the HKO has developed a regression model to provide objective guidance to forecasters in formulating forecasts of maximum and minimum temperatures for the next day at various locations in Hong Kong.In this paper,the regression model is presented,together with the assessment of its performance.Based on the verification of one year of forecasts,it is found that the root mean square errors (RMSEs) of maximum (minimum) temperature forecasts are from about 1.3 to 2.1 (1.1 to 1.4) degrees,respectively.The regression model is shown to have generally out-performed the operational regional spectral model then operated by HKO.Regional temperature forecast methods of other meteorological or research centers are also surveyed.Equipped with the regression model,the HKO has launched an online regional temperature forecast service for the next day in Hong Kong since March 2008.