The NOAA NEXRAD radar precipitation data is very useful for many hydrological applications, but it's stored in a confusing structure on a server hosted by Iowa State.
We use the MultiSensor_QPE_01H_Pass2
dataset when available and the GaugeCorr_QPE_01H
for earlier periods.
See docs for more information.
The basic steps of the analysis are
- Download the
.grib2.gz
file from the Iowa State repository - Unzip the file from
.grib2.gz
to.grib2
- Use the
cdo
tool to convert from.grib2
to NetCDF 4 (.nc
)
Hi James,
This is Jian Zhang from NSSL. I'm the tech lead of the MRMS QPE development and I can probably help with your question.
You are correct that the MultiSensor_QPE_01H_Pass2
is the most accurate among the MRMS QPE suite.
Since it's not available before mid-Oct 2020, you may use our GaugeCorr_QPE_01H
product in the early period, which should be very close to the MultiSensor_QPE_01H_Pass2
in the area of your interest (Gulf Coast).
The MultiSensor_QPE_01H_Pass2
combines the GaugeCorr_QPE_01H
, model QPF and precipitation climatology information to help mitigate the deficiency of radar observations (see this paper).
The two products are most different in the complex terrain of western US where there are large radar coverage gaps.
In the southeastern US where the radar and gauge coverage are relatively dense, the MultiSensor_QPE_01H_Pass2
is largely based on the GaugeCorr_QPE_01H
.
Best, Jian