A Comparison of Diagnosed Vs. Predicted Precipitation Type in the Eta Forecast
Model: 3-6 December 2002
Abstract
Here the diagnosed precipitation type from the NCEP (a.k.a Baldwin/Schichtel)
algorithm is compared to the predicted precipitation type in the experimental/parallel
version of the 12-km Eta model for an early winter storm in the southern and
eastern U.S.
Learning objectives
In this case study, the main lessons are:
- The NCEP precipitation type algorithm overforecasts freezing rain or sleet
over snow in situations where there are thick quasi-isothermal layers with
temperatures between -4° and 0°C and surface temperatures below freezing.
This feature of the algorithm was intentionally set up so freezing rain would
not be underforecast, resulting in potentially serious consequences
for public safety.
- It is important to understand how precipitation type post-processing schemes
diagnose precipitation type, and the types of forecast situations in which
the schemes tend to have problems.
- The forecast fraction of frozen precipitation (SNRA) from the Eta-12 takes
the temperature of regions of precipitation formation and falling precipitation
into account using complex microphysical parameterizations. The SNRA variable
can also include sleet!
- The predicted SNRA fraction will generally give superior results to precipitation
type diagnostic schemes because it is directly tied to the model's precipitation
microphysics scheme.
- If in doubt about the precipitation type, check vertical structure of atmosphere
at your location to see if there are any resolved layers with temperatures
above 0°C. This will also help with potential sleet contained in SNRA
variable.
In going through this case, when you open a separate graphic, an image or loop
will pop up in a separate window. If one is already
displaying, it will be replaced by the one you just selected. Loops automatically
start looping. To freeze a frame, click the Stop button
.
To advance one frame, use the Plus 1 button
.
To resume looping, use the Forward button
.
Loop speed is increased by
repeatedly clicking the Fast button
and decreased by doing the same to the Slow button
.
Credits
by Dr. Bill Bua
Thanks to:
Eric Rogers, NCEP/EMC/MMB for graphics
Geoffrey Manikin, NCEP/EMC/MMB for review
Christopher Buonanno, SOO LZK for review
University of Wyoming and National Climatic Data Center websites for data