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. O
Near O
- O
real O
- O
time O
( O
NRT O
) O
satellite O
precipitation B-climate-properties
products O
are O
attractive O
to O
rainstorm B-climate-nature
monitoring O
and O
flood B-climate-hazards
warning O
guidance O
owing O
to O
its O
combination O
of O
timeliness O
, O
high O
spatiotemporal O
resolution O
, O
and O
broad O
coverage O
. O
We O
evaluate O
the O
performance O
of O
four O
NRT O
satellite O
products O
, O
i.e. O
, O
Precipitation B-climate-datasets
Estimation I-climate-datasets
from I-climate-datasets
Remotely I-climate-datasets
Sensed I-climate-datasets
Information I-climate-datasets
using I-climate-datasets
Artificial I-climate-datasets
Neural I-climate-datasets
Networks I-climate-datasets
, O
3B42RT B-climate-datasets
, O
Global B-climate-datasets
Satellite I-climate-datasets
Mapping I-climate-datasets
of I-climate-datasets
Precipitation I-climate-datasets
( O
GSMaP B-climate-datasets
) O
NRT O
, O
and O
Integrated B-climate-datasets
Multi I-climate-datasets
- I-climate-datasets
satellitE I-climate-datasets
Retrievals I-climate-datasets
for I-climate-datasets
Global I-climate-datasets
Precipitation B-climate-properties
Measurement O
( O
IMERG B-climate-datasets
) O
The O
IMERG B-climate-datasets
Late O
run O
and O
GSMaP B-climate-datasets
NRT O
perform O
the O
closest O
- O
to O
- O