Regional Temperature Forecast for the Next Day in Hong Kong |
| |
| Authors: | Hilda Lam Karen Kit-ying Shum Julian Shu-yan Tang |
| |
| Institution: | Hong Kong Observatory, Hong Kong, China;Hong Kong Observatory, Hong Kong, China;Hong Kong Observatory, Hong Kong, China |
| |
| Abstract: | 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. |
| |
| Keywords: | multiple linear regression model maximum/minimum temperature forecast root meansquare error Hong Kong |
| 本文献已被 SpringerLink 等数据库收录！ |
| 点击此处可从《Acta Meteorologica Sinica》浏览原始摘要信息 |
| 点击此处可从《Acta Meteorologica Sinica》下载免费的PDF全文 |
|
