Abstract:
Multitudinous precipitation predictions are verified and assessed during July an
d August 2005. These products include the forecast of forecasters in Central Meteorologi
cal Office and NWP models, such as T213l31, HLAFS25, MM5, MESOGRAPES 60km and
30km model,WRF20km, as well as Japanese and German global model outputs. Differ
ent kinds of rainfall verification schemes and statistical verification variable
s are used. The results show that the verification conclusions of different veri
fication schemes on 8 kinds of NWP models and forecaster’s rainfall prediction
from light rain to heavy rain are near each other, whereas there are obvious dif
ferences on observation stations distribution between dense verification and sta
ndard verification. TS of dense verification system is lower than that of standa
rd verification system. But for torrential rain and severe rain, bias of two ver
ification systems are obviously different. The reason is that most of the weathe
r systems resulting in torrential rain are mesoscale or microscale weather s
ystems, their frequency is similar with dense verification observation.
For whole country, ETS is less than TS for the rainfall under heavy rain, and is
near for the rainfall over torrential rain. However, the sort of verification r
esults on ETS for kinds of models is similar with TS or SS score except for ligh
t rain. Not only for dense verification, but also for standard verification, the
best product of all verified forecasts is the same for all classes. If the area
is the same, but the forecasts are different, the differences between dense ver
ification and standard verification are different. For T213L31 model, the dense
verification biases of some areas for torrential rain are obviously different fr
om standard verification, but for forecaster’s prediction, the results of two v
erification systems are similar.