CAPS Radar QC and Remapping

Slides:



Advertisements
Similar presentations
POLARIMETRIC RADAR IMPROVEMENTS
Advertisements

Tutorial 3 Refractor assignment, Analysis, Modeling and Statics
Keith Brewster Radar Assimilation Workshop National Weather Center 18-Oct-2011.
Radar Climatology of Tornadoes in High Shear, Low CAPE Environments in the Mid-Atlantic and Southeast Jason Davis Matthew Parker North Carolina State University.
CLEAN-AP Update Cl utter E nvironment An alysis using A daptive P rocessing Sebastián Torres and David Warde CIMMS/The University of Oklahoma and National.
Status of Dual-Doppler Wind Retrieval Project Carpe Diem 6 th Meeting Helsinki 24 June 2004 by Kheng University of Essex.
CLUTTER MITIGATION DECISION (CMD) THEORY AND PROBLEM DIAGNOSIS
Lemon and Doswell (1979) Lemon, L. R., and C. A. Doswell III, 1979: Severe thunderstorm evolution and mesoscyclone structure as related to tornadogenesis.
Water vapor estimates using simultaneous S and Ka band radar measurements Scott Ellis, Jothiram Vivekanandan NCAR, Boulder CO, USA.
NEXRAD TAC Norman, OK March 21-22, 2006 Clutter Mitigation Decision (CMD) system Status and Demonstration Studies Mike Dixon, Cathy Kessinger, and John.
Echo Tops Fairly accurate at depicting height of storm tops Inaccurate data close to radar because there is no beam angle high enough to see tops. Often.
Clear air echoes (few small insects) -12 dBZ. Echoes in clear air from insects Common is summer. Watch for echoes to expand area as sun sets and insects.
Prof. Paul Sirvatka ESAS 1115 Severe and Unusual Weather Severe and Unusual Weather ESAS 1115 Severe and Unusual Weather ESAS 1115 Spotter Training and.
Radar-Derived Rainfall Estimation Presented by D.-J. Seo 1 Hydrologic Science and Modeling Branch Hydrology Laboratory National Weather Service Presented.
Review of the current and likely future global NWP requirements for Weather Radar data Enrico Fucile (ECMWF) Eric WATTRELOT & Jean-François MAHFOUF (Météo-France/CNRM/GMAP)
Improved Automation and Performance of VORTRAC Intensity Guidance Wen-Chau Lee (NCAR) Paul Harasti (NRL) Michael Bell ( U of Hawaii) Chris Landsea & Stacy.
Carlos A. Rodríguez Rivera Mentor: Dr. Robert Palmer Carlos A. Rodríguez Rivera Mentor: Dr. Robert Palmer Is Spectral Processing Important for Future WSR-88D.
Improving radar Doppler wind information extraction Yong Kheng Goh, Anthony Holt University of Essex, U. K. Günther Haase, Tomas Landelius SMHI, Sweden.
Dual-Doppler Wind Retrieval from two operational Doppler radars Yong Kheng Goh, Anthony Holt University of Essex, U. K. for ERAD04, Visby.
ASSIMILATION of RADAR DATA at CONVECTIVE SCALES with the EnKF: PERFECT-MODEL EXPERIMENTS USING WRF / DART Altuğ Aksoy National Center for Atmospheric Research.
© 2003 University of Essex Progress of Dual Doppler Radar Visualisation Software DARWIn ( Doppler Analysis and Retrieval of Wind Information ) Yong Kheng.
The use of WSR-88D radar data at NCEP Shun Liu SAIC/ National Centers of Environmental Prediction, Camp Springs, Maryland.
Günther Haase Tomas Landelius Daniel Michelson Generation of superobservations (WP2)
Tornado Detection Algorithm (TDA) By: Jeffrey Curtis and Jessica McLaughlin.
DOAS Retrievals of Stratospheric O 3 and NO 2 from Odin / OSIRIS Limb-Radiance Measurements Samuel Brohede Craig S. Haley and the Odin team Chalmers University.
Analysis of Three Dimensional Wind Fields from Two Operational Radars Yong Kheng Goh* and Anthony Holt * Doppler radar and wind-field.
Dual-Doppler Wind Retrieval from two operational Doppler radars Yong Kheng Goh, Anthony Holt University of Essex, U. K. for CARPE DIEM, Bologna 29 Nov.
Surveillance Weather Radar 2000 AD. Weather Radar Technology- Merits in Chronological Order WSR-57 WSR-88D WSR-07PD.
Doppler Radar From Josh Wurman Radar Meteorology M. D. Eastin.
Review Doppler Radar (Fig. 3.1) A simplified block diagram 10/29-11/11/2013METR
Spatial-based Enhancements Lecture 3 prepared by R. Lathrop 10/99 updated 10/03 ERDAS Field Guide 6th Ed. Ch 5: ;
A Doppler Radar Emulator and its Application to the Detection of Tornadic Signatures Ryan M. May.
25 Sept. 2006ERAD2006 Crossbeam Wind Measurements with Phased-Array Doppler Weather Radar Richard J. Doviak National Severe Storms Laboratory Guifu Zhang.
Oct. 12, National Severe Storms Laboratory & University of Oklahoma Information briefing to the NEXRAD Technical Advisory.
Technical Interchange Meeting Spring 2008: Status and Accomplishments.
Real-Time Dissemination of Hurricane Wind Fields Determined from Airborne Doppler Radar John Gamache NOAA/AOML/Hurricane Research Division Collaborators:
Noise is estimated [NEXRAD technical manual] at elevation >20  and scaled. Data with low Signal/Noise are determined and censored (black or white on PPI).
Radar Quality Control and Quantitative Precipitation Estimation Intercomparison Project Status Paul Joe Environment Canada Commission of Instruments, Methods.
Real-time Doppler Wind Quality Control and Analysis Qin Xu National Severe Storms Laboratory/NOAA Pengfei Zhang, Shun Liu, and Liping Liu CIMMS/University.
WSN05 6 Sep 2005 Toulouse, France Efficient Assimilation of Radar Data at High Resolution for Short-Range Numerical Weather Prediction Keith Brewster,
RAdio Detection And Ranging. Was originally for military use 1.Sent out electromagnetic radiation (Active) 2.Bounced off an object and returned to a listening.
NEXRAD TAC Meeting August 22-24, 2000 Norman, OK AP Clutter Mitigation Scheme Cathy Kessinger Scott Ellis Joseph VanAndel
A Two-Dimensional Velocity Dealiasing Algorithm for the WSR-88D W. Dave Zittel, Zhongqi Jing Radar Operations Center, Norman, OK Nicholas Langlieb WFO,
WEATHER SIGNALS Chapter 4 (Focus is on weather signals or echoes from radar resolution volumes filled with countless discrete scatterers---rain, insects,
Quality Control Problems For VAD Winds and NEXRAD Level-II Winds In the Presence of Migrating Birds Li Bi 1, Alan Shapiro 1,2, Pengfei Zhang 3 and Qin.
KNMI 35 GHz Cloud Radar & Cloud Classification* Henk Klein Baltink * Robin Hogan (Univ. of Reading, UK)
Technical Interchange Meeting – ROC / NSSL / NCAR ROC / NSSL / NCAR TIM Boulder CO 11 May 2005 Real-time time-series implementation of the Radar Echo Classifier.
NCAR Activity Update John Hubbert, Cathy Kessinger, Mike Dixon, Scott Ellis, Greg Meymaris and Frank Pratte To the NEXRAD TAC October 2005 San Diego,
METR February Radar Products More Radar Background Precipitation Mode: -Volume Coverage Patterns (VCP) 21: 9 elevation angles with a complete.
Radar Requirements David J. Stensrud NOAA/National Severe Storms Laboratory 2013 Warn-on-Forecast Workshop and Technical Guidance Meetings.
NEXRAD Data Quality 25 August 2000 Briefing Boulder, CO Cathy Kessinger Scott Ellis Joe VanAndel Don Ferraro Jeff Keeler.
Upper Air Wind Measurements by Weather Radar Iwan Holleman, Henk Benschop, and Jitze vd Meulen Contents: Introduction to Doppler Radar Velocity Azimuth.
Estimating Rainfall in Arizona - A Brief Overview of the WSR-88D Precipitation Processing Subsystem Jonathan J. Gourley National Severe Storms Laboratory.
A Moment Radar Data Emulator: The Current Progress and Future Direction Ryan M. May.
What is Doppler Weather Radar
NPOL Olympex Located N/ W, 157 m ASL
Anomalous Propagation
  Robert Gibson1, Douglas Drob2 and David Norris1 1BBN Technologies
Presented by Pat McCarthy Prairie and Arctic Storm Prediction Centre
NEXRAD Data Quality Optimization AP Clutter Mitigation Scheme
High resolution radar data and products over the Continental United States National Severe Storms Laboratory Norman OK, USA.
Keith A. Brewster1 Jerry Brotzge1, Kevin W
An overview by: Thomas Jones December 2, 2002
the University of Oklahoma
Severe and Unusual Weather ESAS 1115
Examples of spectral fields
3D Multi-Radar Reflectivity Mosaic
De-aliasing of Doppler radar winds
A New Approach to Tornado Warning Guidance Algorithms
OFP Filters in the Denoising of the Significance Map
Presentation transcript:

CAPS Radar QC and Remapping Keith Brewster Radar Assimilation Workshop National Weather Center 18-Oct-2011

Radar I/O & Remapping Capabilities Remapping Drivers 88D2ARPS NEXRAD WSR-88D Level-II China 98D WSR-98D Level-II TDWR Solo DORADE I/O NIDS2ARPS NEXRAD Level-III NCRAD2ARPS CASA NetCDF WDSS-II Tilt NetCDF (KOUN, Taiwan data) OU-PRIME NetCDF FORAY NetCDF (field project data)

Radar I/O & Remapping Capabilities Accessory Script: Scan2a (Perl) Creates pseudo-volume lists using meta-data in NetCDF files for use in NCRAD2ARPS Plotting Routines radarpltncar & radarpltpost Polar Coordinate data pltradcol Radar Column data ARPSplot 2D (by tilt) and 3D remapped data

2D and 3D gridded single-variable files Output Radar Column Data 2D and 3D gridded single-variable files Grid-tilt: remapped to Cartesian on tilt surface.

Radar Sampling Problem-Horizontal x y a ISSAOS, L’Aquila, Italy, 31Aug 2004

Radar Sampling Problem -Vertical z b x a ISSAOS, L’Aquila, Italy, 31Aug 2004

CAPS Radar Remapping Local least-squares interpolation/smoothing Quadratic in horizontal Linear in vertical Smooths dense data Superobbing consistent with model grid Interpolates accurately in data-sparse regions Can be applied in 2D on ray surface. Ray paths: 4/3-earth ray path or estimate of bulk refractive index gradient with height Full range of map projections & vertical grid stretching supported

ISSAOS, L’Aquila, Italy, 31Aug 2004 Remapping to Dx = 2 km ISSAOS, L’Aquila, Italy, 31Aug 2004

Remapped Radar Field x-z Cross-section ISSAOS, L’Aquila, Italy, 31Aug 2004

AP/Clutter Detection Despeckle (remove isolated point targets) Calculate 3 terms in small regions around each gate DdBZ between 0.5° and 1st tilt above 1.1° DdBZ < -12 dBZ assoc with AP DdBZ < -20 dBZ assoc with ground targets such as wind turbines Texture.. Spin Change. A lot of changes in sign of gate-to-gate reflectivity gradients associated with AP. Mean Radial Velocity Small magnitude of mean radial velocity associated with AP Weak check: Fails 2 or more of 3 checks Strong check: Fails 1 or more checks Based on statisical studies led by Kessinger at NCAR

Reflectivity Quality Control Flowchart Read Tilt Anomalous Radial Removal Despeckle & Median Filter (opt) Assemble Volume Ground Clutter Removal For All Elev < 1.0 Despeckle Continue to Remapping

Sunrise/Sunset Radials

Sunrise/Sunset Radials Point source interference, such as sun, produces characteristic signature. High percentage of radial is non-missing. Reflectivity factor increasing linearly with range. Small variance from linearity.

KDDC Sunset & Clutter Raw Obs Anomalous Radial Removed Clutter Removal

Sea Clutter

CAPS Real-time Velocity QC & Dealiasing Three Pronged Approach Background Comparison Most useful for removing shear with height due to mean wind profile Background from model or VAD Two-dimensional continuity Applied in multiple directions Final Quadratic fit for uncertain points.

Velocity Dealiasing Steps Find mean wind profile in area within 90 km of radar. From model background or sounding Process by tilt: Remove mean wind from each radial velocity Start on a radial perpendicular to the mean wind For each radial Check for horizontal continuity Unfold where vt=vm+nVn improves continuity Flag any outliers that can’t be resolved After entire tilt processed Recheck flagged gates vs. least-squares quadratic fit of neighboring gates

Radial Velocity Quality Control Flowchart Read Tilt Spectrum Width Filter All Tilts Despeckle & Median Filter (opt) Assemble Volume Ground Clutter Removal For All Elev < 1.0 Despeckle Continue to Unfolding

Radial Velocity Quality Control Flowchart Model Data or Sounding …Continued Calculate Mean Wind Profile Compare to mean wind Mean Wind Profile Create perturbation Vr Field Gate-to-Gate Shear Check Quadratic Check at Gates Marked Uncertain Continue to Remapping

Gate-to-Gate Shear Check Begin Mean Wind Profile Find Radial Perpendicular to Mean WInd Shear Comparison Template Forward Pass Repeat Reverse Pass Continue to Remapping Step Direction

Multiple Folded Data Mean Wind Raw Obs Shear Check

KTLX 10 May 2010 6.47 Scan Raw Obs Mean Wind Shear Check Quad Fit

Ongoing Work Increasing Flexibility New NAMELIST control file Correction factors for mobile radars Moving tunable parameters to NAMELIST Dual-Pol for WSR-88D Some experience with CASA Additional algorithms for clutter and non-precip echo identification & removal Can we use vortex recognition/fitting techniques to improve QC and analysis near strong vortices?