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Radar QPE Working Group. Moderator: Dan Berkowitz , Applications Branch Radar Operations Center. Radar QPE Working Group Objectives. Determine priorities for (Level II) base data improvement Determine priorities for (Level III) products
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Radar QPE Working Group Moderator:Dan Berkowitz, Applications Branch Radar Operations Center
Radar QPE Working Group Objectives • Determine priorities for (Level II) base data improvement • Determine priorities for (Level III) products • Recommend improvements to National Mosaic Multisensor QPE (NMQ) for “Next Generation QPE” (Q2) • Create a working group to develop required OSI Process documents with respect to radar improvements
Uncertainties in Radar Precip. Estimation (abbreviated list) • Complete or partial beam blockage • Beam propagation path – height of sample • Mixed precipitation types (hail, rain, and/or snow) • Beam not filled with precipitation • Evaporation near the ground • Detection of non-meteorological targets(ground, birds, bugs, etc.) • Displacement of radar sample relative to a ground location (rain gauge) due to wind shear • It is expected that some of these problems will be rectified by dual polarization radar.
1. Priorities for Base Data Improvement • Calibration problems – • We recommend WSR-88D Hotline be proactive at monitoring systems using the Reflectivity Comparison tool. Even though this support may be limited to 7 a.m. to 7 p.m. Central Time on weekdays (when meteorologists are on duty), this should be done routinely. • Clutter management problems • This is an ongoing training issue.
1. Priorities for Base Data Improvement (cont’d) • Scan strategies or volume coverage patterns New VCPs with lower elevation angles are needed for: • Mountain-top radar locations • Detection of snowfall at numerous locations • Ground clutter mitigation at RDA • Research is needed to determine value of GMAP applied to fuzzy logic-identified AP clutter (NCAR-proposed Clutter Filter Decision Support). • Research is needed to determine quality of dual polarization clutter mitigation to see if NCAR software adds any value.
2. Priorities for RPG-created Products • Probabilistic QPE products • PQPE could be provided for educated users but only after deterministic methods are improved. PQPE should not replace deterministic QPE products. • Snowfall (digital snowfall accumulation) • A digital snowfall product is needed by RFCs. • Automated R(Zh) selection (a.k.a. Z-R or Z/R relationship) and/or MXPRA selection • This is a good idea but needs research to determine when each relationship should be used. Environmental data can come from soundings, the RUC model, and from an operator.
2. Priorities for RPG-created Products (cont’d) • Guidance for PPS Adaptable Parameters (CLUTTHRESH, RAINZ, RAINA, exclusion zones (for wind farms, highways, industrial plumes), and when it is good/bad to apply Gauge/Radar Mean Field Bias) • There is an ongoing need for training on these parameters. No software changes are needed.
3. Suggested NMQ Improvements(with respect to radar products) • Automated R(Zh) selection (a.k.a. Z-R or Z/R relationship) • This is a good idea but needs research to determine when each relationship should be used. Environmental data can come from soundings, the RUC model, and from an operator. • Bias application • We like the ability to apply sectorized, local bias. As with MPE-generated bias, users should know the source(s) of the bias calculation (i.e., the number and location of gauge-radar pairs).
4. Operations and Services Improvement (OSI) Process Volunteers are needed to help prepare • Statement of Need (SON) • Concept of Operations (ConOps) • Business Case Analysis • So far, we have gotten no-one (except myself). Are you interested? Please let me know.
