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showed O
better O
accuracy O
in O
humid O
season O
than O
in O
arid O
season O
. O
-DOCSTART- -X- O O https://semanticscholar.org/paper/71544554bdb44bb75a3d3ec01584e4591819a877
Improving O
multimodel O
weather O
forecast O
of O
monsoon B-climate-nature
rain B-climate-nature
over O
China O
using O
FSU B-climate-models
superensemble I-climate-models
. O
Our O
suite O
of O
models O
includes O
the O
operational O
suite O
selected O
by O
NCARs B-climate-organizations
TIGGE B-climate-datasets
archives O
for O
the O
THORPEX B-climate-organizations
Program O
. O
These O
are O
: O
ECMWF B-climate-organizations
, O
UKMO B-climate-models
, O
JMA B-climate-organizations
, O
NCEP B-climate-organizations
, O
CMA B-climate-organizations
, O
CMC B-climate-organizations
, O
BOM B-climate-organizations
, O
MF B-climate-organizations
, O
KMA B-climate-organizations
and O
the O
CPTEC B-climate-models
models O
. O
For O
training O
and O
forecasts O
validations O
we O
have O
made O
use O
of O
an O
advanced O
TRMM B-climate-datasets
satellite O
based O
rainfall B-climate-nature
product O
. O
-DOCSTART- -X- O O https://semanticscholar.org/paper/5596a45e7728205e08e8e07d7980a3f84ab6066e
For O
doing O
this O
, O
long O
historical O