1 / 11

“24 hours in the life of a weather radar network”

“24 hours in the life of a weather radar network”. Problem: The Environment. No echo. Over report. Under report. Under report. under report. Over report. No echo. Over report. Over report. Under report. Segmenting the DQ Adjustment Algorithms. ZDR calibration. RV dilemma

cleo-french
Download Presentation

“24 hours in the life of a weather radar network”

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. “24 hours in the life of a weather radar network”

  2. Problem: The Environment No echo Over report Under report Under report under report Over report No echo Over report Over report Under report

  3. Segmenting the DQ Adjustment Algorithms ZDR calibration RV dilemma Noise Ant pol errors; Noise processing Data correction Orographic enhancement Conversion to “P” Recursive issues! Wind Turbines RLAN

  4. The Steps • Assume radar is electronically calibrated, elevation pointing angle is good (<0.1o)! • Static/ground clutter correction • Target identification – eg biological, precip • Problem identification – attenuation, partial beam blocking, radome wetting • Problem correction • Precipitation Echo identification (C vs S) • VPR computation • Data selection • VPR correction • Z-R bias “calibration” – see Isztar’s technique • Z-R or Z-S • Z-R for convective or stratiform • Network data merging • Space-time advection • Products for hydrology etc

  5. Elevation Pointing Errors Good Bad

  6. 0.65O almost Almost A Perfect Radar! Accumulation – a winter season log (Raingauge-Radar Difference) Difference increases range! 1O No blockage Rings of decreasing value Michelson, SMHI

  7. 55 day accumulation

  8. Sensitivity MDS

  9. Vertical Profiles of Reflectivity • Beam smooths the data AND • Overshoots the weather Explains increasing radar-raingauge difference with range Joss-Waldvogel

  10. No correction VPR correction FMI, Koistinen

More Related