模式:

HARMONIE 40(HARMONIE-AROME Cy40) from the Netherland Weather Service

更新:
4 times per day, from 06:00, 12:00, 18:00, and 00:00 UTC
格林尼治平时:
12:00 UTC = 20:00 北京时间
Resolution:
0.025° x 0.037°
参量:
降水:
东亚降水(毫米或升/平方米)
描述:
降水图 - 每6小时更新一次 - 显示东亚地区模式计算的降水分布情况。 降水区用等雨量线标出。 然而,目前模式算出的降水还不是很可靠。如果您比较一下模式结果和降水实测值,您会 发现模式结果只能算得上降水的一级近似值。不过,这幅图对于专业气象预报员却是个重 参考。

HARMONIE:
HARMONIE-AROME The non-hydrostatic convection-permitting HARMONIE-AROME model is developed in a code cooperation of the HIRLAM Consortium with Météo-France and ALADIN, and builds upon model components that have largely initially been developed in these two communities. The forecast model and analysis of HARMONIE-AROME are originally based on the AROME-France model from Météo-France (Seity et al, 2011, Brousseau et al, 2011) , but differ from the AROME-France configuration in various respects. A detailed description of the HARMONIE-AROME forecast model setup and its similarities and differences with respect to AROME-France can be found in (Bengtsson et al. 2017). [From: HIRLAM (2017)]
NWP:
Numerical weather prediction uses current weather conditions as input into mathematical models of the atmosphere to predict the weather. Although the first efforts to accomplish this were done in the 1920s, it wasn't until the advent of the computer and computer simulation that it was feasible to do in real-time. Manipulating the huge datasets and performing the complex calculations necessary to do this on a resolution fine enough to make the results useful requires the use of some of the most powerful supercomputers in the world. A number of forecast models, both global and regional in scale, are run to help create forecasts for nations worldwide. Use of model ensemble forecasts helps to define the forecast uncertainty and extend weather forecasting farther into the future than would otherwise be possible.

Wikipedia, Numerical weather prediction, http://zh.wikipedia.org/wiki/數值天氣預報(as of Feb. 9, 2010, 20:50 UTC).