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.

Slides:



Advertisements
Similar presentations
DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,
Advertisements

Keith Brewster Radar Assimilation Workshop National Weather Center 18-Oct-2011.
Research Objectives A robust dataset was collected as Hurricane Frances made landfall on the eastern coast of Florida on 5 September This dataset.
DYnamical and Microphysical Evolution of Convective Storms Thorwald Stein, Robin Hogan, John Nicol DYMECS.
Status of Dual-Doppler Wind Retrieval Project Carpe Diem 6 th Meeting Helsinki 24 June 2004 by Kheng University of Essex.
7. Radar Meteorology References Battan (1973) Atlas (1989)
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.
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)
Specular reflectorquasi-specular reflector quasi-Lambert reflector Lambert reflector Limiting Forms of Reflection and Scatter from a Surface.
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.
Günther Haase Tomas Landelius Daniel Michelson Generation of superobservations (WP2)
Lessons learned in field studies about weather radar observations in the western US and other mountainous regions Socorro Medina and Robert Houze Department.
RHB C-band radar scan strategy constraints Cloud top height less than 1.5 km altitude Features of interest < 5 km in scale Rapid evolution of cells  fast.
Analysis of Three Dimensional Wind Fields from Two Operational Radars Yong Kheng Goh* and Anthony Holt * Doppler radar and wind-field.
Nihanth W. Cherukuru a Ronald Calhoun a Manuela Lehner b Sebastian Hoch b David Whiteman b a Arizona State University, Environmental Remote sensing group,
Doppler Radar From Josh Wurman NCAR S-POL DOPPLER RADAR.
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.
Carpe Diem 2nd Meeting-Barcelona1 CARPE DIEM University of Essex Anthony HoltDavid BebbingtonMartin Fleury Stephan Siemen + ……+ …….. Second Meeting: Barcelona.
ElectroScience Lab IGARSS 2011 Vancouver Jul 26th, 2011 Chun-Sik Chae and Joel T. Johnson ElectroScience Laboratory Department of Electrical and Computer.
Using Doppler Radar to “Nowcast” Winter Storms...A Review MSC Winter Severe Weather Workshop Boulder February 2002.
Background Research Applications Philip Hayes The Florida State University.
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.
DATA ASSIMILATION AND NWP IMPROVEMENTS CARPE DIEM AREA 1 Magnus Lindskog on behalf of Nils Gustafsson (AREA 1 Scientific Rapporteur) and AREA 1 colleagues.
International Research Centre for Telecommunications and Radar High resolution 3D wind profiling using an S-band polarimetric FM-CW radar: dealiasing techniques.
Carpe Diem Kickoff1 CARPE DIEM University of Essex Anthony HoltDavid BebbingtonMartin Fleury Stephan Siemen + …………..
Study Design and Summary Atmospheric boundary layer (ABL) observations were conducted in Sapporo, Japan from April 2005 to July Three-dimensional.
Doppler Radar Basic Principles.
Radar MeteorologyM. D. Eastin Airborne Weather Radars.
Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.
Real-Time Dissemination of Hurricane Wind Fields Determined from Airborne Doppler Radar John Gamache NOAA/AOML/Hurricane Research Division Collaborators:
Assimilating Reflectivity Observations of Convective Storms into Convection-Permitting NWP Models David Dowell 1, Chris Snyder 2, Bill Skamarock 2 1 Cooperative.
ATMOS 312 RADAR METEOROLOGY Chapter 1: COURSE OVERVIEW.
Data assimilation, short-term forecast, and forecasting error
Dual-Aircraft Investigation of the inner Core of Hurricane Norbert. Part Ⅲ : Water Budget Gamache, J. F., R. A. Houze, Jr., and F. D. Marks, Jr., 1993:
Reading, 13 June 2013 Workshop on Convection in the high resolution Met Office models.
ACCURACY OF COMPOSITE WIND FIELDS DERIVED FROM A BISTATIC
DYMECS The evolution of thunderstorms in the Met Office Unified Model Kirsty Hanley Robin Hogan John Nicol Robert Plant Thorwald Stein Emilie Carter Carol.
1 ARPA-SIM, Bologna, Italy and CIMA, Savona, Italy. Improving the radar data mosaicking procedure by means of a quality descriptor Fornasiero, A., Alberoni,
ISRO RADAR DEVELOPMENT UNIT, BANGALORE. PRESENTATION TO CHAIRMAN - ISRO & MEMBERS - ISRO COUNCIL NRSA LECTUREGPM – GV MEETING # 2 ISRAD GROUND VALIDATION.
Japan Blue Radar Observation at Ping-Tung June 10, 2008 Lei Feng 2, Tetsuya Sano 1, Tsung-Jung Lee 2, Satoshi Endo 1 and Ben Jong –Dao Jou 3 1.Hydrosheric.
Test of Supercell Propagation Theory Using Data from VORTEX 95 Huaqing Cai NCAR/ASP/ATD.
Analysis for the Structure of Meso-scale Convective Systems on Squall Line Process on July at Shanghai Liu shuyuan Sun Jian ( CAMS, Beijing, China.
1 WP6: Anaprop Modelling U. Essex. 2 Anaprop model components Refractivity { height, range, azimuth} from NWP data –NWP data: temp, humidity { pressure,
05/03/2016FINNISH METEOROLOGICAL INSTITUTE Jarmo Koistinen, Heikki Pohjola Finnish Meteorological Institute CARPE DIEM FMI (Partner 5) progress report.
Upper Air Wind Measurements by Weather Radar Iwan Holleman, Henk Benschop, and Jitze vd Meulen Contents: Introduction to Doppler Radar Velocity Azimuth.
Quality of Weather Radar Wind Profiles Iwan Holleman (KNMI) Introduction of VAD technique in early 60s Development of VVP technique in late 70s Strong.
The evaluation of updrafts in the Unified Model using single-Doppler radar measurements Nicol JC a, Hogan RJ b, Stein THM b, Hanley KE c, Lean HW c, Plant.
Estimating Rainfall in Arizona - A Brief Overview of the WSR-88D Precipitation Processing Subsystem Jonathan J. Gourley National Severe Storms Laboratory.
Accuracy of Wind Fields in Convective
A Moment Radar Data Emulator: The Current Progress and Future Direction Ryan M. May.
Use of radar data in the HIRLAM modelling consortium
What is Doppler Weather Radar
CAPS Radar QC and Remapping
NPOL Olympex Located N/ W, 157 m ASL
Tadashi Fujita (NPD JMA)
How do models work? METR 2021: Spring 2009 Lab 10.
Iwan Holleman (KNMI) Hans van Gasteren (RNLAF,UvA) Willem Bouten (UvA)
Radar/Surface Quantitative Precipitation Estimation
Methodology for 3D Wind Retrieval from HIWRAP Conical Scan Data:
An overview by: Thomas Jones December 2, 2002
the University of Oklahoma
Doppler Dilemma Ideal in forecasting: Would you settle for:
Thermal Wind, Temperature Advection, and Doppler
De-aliasing of Doppler radar winds
Status of the Regional OSSE for Space-Based LIDAR Winds – Feb01
Presentation transcript:

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 – 03 Dec 2004

Dual Doppler Wind Retrieval DDWR Procedure: ● Terrain analysis – establish area amenable to dual-Doppler analysis. ● Data gridding – interpolating polar data into Cartesian data. ● Wind field calculation. ● Verifying wind field

SMR Radar

SMR Radars ● Locations:- Po Valley, Italy – Gattatico (44 o 47' 30'', 10 o 30' 30'') – S. Pietro Capofiume(44 o 39' 17'', 11 o 37' 25'') ● C-band/5.5GHz ● Synchronised scan strategy every 15 minutes: 3 volumes – 4 – elevs (4 mins, Dual PRF, Nyquist 49 m/s, 0.5 deg, 1.4 deg, 2.3 deg, 3.2 deg) – 12 – elevs (8 mins, Single PRF, Nyquist 16 m/s) – 5 – elevs (3 mins, Long range, non-Doppler)

Height Profile

Terrain Analysis – Po Valley

Location of Po Valley study region

Data Gridding ● Radar data – Polar data – 4 elevation angles(deg) 0.5, 1.4, 2.3, 3.2 – ray resolutions 0.25km x 440 bins, beam width: 0.9 deg ● Gridded data ● Cartesian data ● 4 layer altitudes (km) ~ 0.5, 1.4, 2.3, 3.2 ● horizontal resolutions cell spacing: 0.5 km, no. of cells: 60 x 60 e.g. Doppler Vel.

Calculating wind field ● Three Fundamental Equations: – Radial Velocities (from each radar) – Mass Continuity

Numerical procedures Iterative method: – horizontal components – vertical component Boundary conditions: – zero vertical velocity on ground – zero horizontal velocity gradient on ground (optional: simplify computation w/o loss of accuracy)

Case I: stratiform 2002 Dec 17 (19:15 hr) Examples of Retrieval

Radar: Gattatico Date: 2002 Dec 17 Elevation:1.4 deg Field:Z Threshold:0 dBZ

Radar: Gattatico Date: 2002 Dec 17 Elevation:1.4 deg Field:V Threshold:0 dBZ tangential

3D representation not very helpful

Wind travelling to the East-North-East at the centre Vel. (m/s)

Thresholded at 15 dBZ

Checking the wind field ● comparing with VAD ● calculating convergence factor for vertical wind component ● by reconstructing radial velocity PPI and comparing with original PPI ● comparing “along-track” components How do we know that the wind field is correct?

Velocity-Azimuth Display (VAD) Gattatico: minimum ~ 60 deg wind travel to East-North-East gat window spc window

Convergence factor ● Typical convergence factor

Comparison of reconstructed radial velocity field and radar measurement Gridded data Reconstructed Gattatico S. Pietro Capofiume Doppler wind measurement

“along-track” components v r1r1 r2r2 r 12

Magnitude of “along-track” component (height = 1.4 km) derived from measurement from calculation

L1 L2 L3 L4

Case II: Convective Storm 2003 Jul 31 (17:30 hr) Examples of Retrieval

Radar: S. Pietro C. Date: 2003 Jul 31 Elevation:1.4 deg Field:Z Threshold:0 dBZ

Radar: S. Pietro C. Date: 2003 Jul 31 Elevation:1.4 deg Field:V Threshold:0 dBZ

VAD is not very helpful in this case Seen from S. Pietro C. wind changes direction reflectivity Doppler vel. gat window spc window

Vel. (m/s) Thresholded at 0 dBZ

Triple-Doppler Analysis ● We have obtained data from Teolo. ● In theory, 3 radars should give 3 wind components, but... – 3 radars scanning at low elevation -> large error in vertical component. ● However, 3 radars allow us to do – Validate dual-Doppler technique – Improve horizontal wind extraction using along- track method.

A.D.Fontana (TEO): we are working with EEC to solve this problem, that seems to correlated to a bad functioning of unfolding processing of velocity.... Teolo data (positive vel. = away from radar) Gattatico (positive vel. = toward radar) Problem: Radial wind PPI do not agree between Teolo and Gattatico (or SPC).

Reconstruction from DDWR Observation Reconstruction (GAT + SPC) Gattatico S. P. CapofiumeTeolo

Wind fields from DDWR GAT+SPC SPC + TEO wind field wind speed

Along-track comparison DDWR using GAT + SPC Along-track using GAT+SPC+TEO wind direction wind speed

Reconstruction of 'AT' wind Gattatico S.P.Capofiume Teolo Observation Reconstruction

Summary ● Dual Doppler wind retrieval with operational weather radars. ● Useful and reliable in both uniform windfields and convective storms. ● Expect to extend the study to triple Doppler Analysis when suitable datasets from Monte Grande are available. ● Will be comparing results with output from NWP analysis by our Carpe Diem partners.