摘要：This research covers Spatial Extreme Value
method application with Max-Stable Process (MSP)
approach that will be used to analysis Extreme Rainfall in
Semarang city. Extreme value sample are selected by
Block Maxima methods, it will be estimated into Spatial
Extreme Value form by including location factors. Then it
transform to Frechet distribution because it has a heavy
tail pattern. Max Stable Process (MSP) is an extension of
the multivariate extreme value distribution into infinite
dimension of the Extreme Value Theory. After the best
model of extreme rainfall data in Semarang is obtained,
then calculated the prediction of extreme rainfall with a
certain time period. Predictions are calculated using a
return level, predictions of extreme rainfall using the
return period of the next two years, at the Semarang City
Climatology Station predicted to be a maximum of
100.7539 mm. At the Tanjung Mas Rain Monitoring
Station it is predicted that a maximum of 100.1052 mm,
Ahmad Yani Rain Monitoring Station is predicted to be a
maximum of 109.9379 mm. Maximum prediction of
extreme rainfall can also be calculated for future t (time)
periods.
关键词：Extreme Rainfall; Smith model;
Spatial Extreme Value
