Real-Time Dissemination of Hurricane Wind Fields Determined from Airborne Doppler Radar John Gamache NOAA/AOML/Hurricane Research Division Collaborators:

Slides:



Advertisements
Similar presentations
Specular reflectorquasi-specular reflector quasi-Lambert reflector Lambert reflector Limiting Forms of Reflection and Scatter from a Surface.
Advertisements

7. Radar Meteorology References Battan (1973) Atlas (1989)
First Flights of High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) During GRIP Lihua Li, Matt Mclinden, Martin Perrine, Lin Tian, Steve Guimond/
Allison Parker Remote Sensing of the Oceans and Atmosphere.
A Review of the NOAA IFEX Hurricane Field Experiments Conducted in 2007 John F. Gamache NOAA/AOML/Hurricane Research Division.
5/22/201563rd Interdepartmental Hurricane Conference, March 2-5, 2009, St. Petersburg, FL Experiments of Hurricane Initialization with Airborne Doppler.
Improved Automation and Performance of VORTRAC Intensity Guidance Wen-Chau Lee (NCAR) Paul Harasti (NRL) Michael Bell ( U of Hawaii) Chris Landsea & Stacy.
Specular reflectorquasi-specular reflector quasi-Lambert reflector Lambert reflector Limiting Forms of Reflection and Scatter from a Surface.
Scientific Objectives and Required Facilities Socorro Medina, Robert Houze, and Stacy Brodzik TIMREX Planning Meeting, Tainan, Taiwan, 9 November 2007.
Dual-Doppler Wind Retrieval from two operational Doppler radars Yong Kheng Goh, Anthony Holt University of Essex, U. K. for ERAD04, Visby.
MAP and IMPROVE II Experimental Areas SHARE Workshop, Boulder, 5 May 2005.
AMS 28th Conf. on Hurricanes & Tropical Meteorology Orlando, Florida - 29 April 2007 Convection in the Genesis Phase of Ophelia (2005) Wen-Chau Lee*Michael.
Günther Haase Tomas Landelius Daniel Michelson Generation of superobservations (WP2)
Principal Rainband of Hurricane Katrina as observed in RAINEX Anthony C. Didlake, Jr. 28 th Conference on Hurricanes and Tropical Meteorology April 29,
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.
Convective-scale diagnostics Rob Rogers NOAA/AOML Hurricane Research Division.
Impact of the 4D-Var Assimilation of Airborne Doppler Radar Data on Numerical Simulations of the Genesis of Typhoon Nuri (2008) Zhan Li and Zhaoxia Pu.
Doppler Radar From Josh Wurman Radar Meteorology M. D. Eastin.
Profilers. Wind profilers are phased array radars that measure the wind as a function of height above a fixed location. Characteristics: Wavelength: 33.
ElectroScience Lab IGARSS 2011 Vancouver Jul 26th, 2011 Chun-Sik Chae and Joel T. Johnson ElectroScience Laboratory Department of Electrical and Computer.
Real-Time Dissemination of Airborne Doppler Radar Data from the NOAA P-3 Aircraft: A Progress Report PI: John Gamache (HRD) Collaborators: Peter Dodge,
A Doppler Radar Emulator and its Application to the Detection of Tornadic Signatures Ryan M. May.
The Rapid Intensification of Hurricane Karl (2010): Insights from New Remote Sensing Measurements Collaborators: Anthony Didlake (NPP/GSFC),Gerry Heymsfield.
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.
SCOS97-NARSTO Data Analysis Conference SCOS97-NARSTO Upper-Air Meteorological Data Wind / RASS Profiler Processing / Objective QC Bob Weber NOAA/ETL Boulder,
Profilers & Surface Gauges NE Corner of Stuart Hwy & McMillans 2835-MHz Precip. Profiler: km 920-MHz Wind Profiler: km 50-MHz Wind Profiler:
Mohammed Soud Mohareb Mohammed Ismail Al- Feqawi
Radar MeteorologyM. D. Eastin Airborne Weather Radars.
Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.
The three-dimensional structure of convective storms Robin Hogan John Nicol Robert Plant Peter Clark Kirsty Hanley Carol Halliwell Humphrey Lean Thorwald.
Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.
Assimilating Reflectivity Observations of Convective Storms into Convection-Permitting NWP Models David Dowell 1, Chris Snyder 2, Bill Skamarock 2 1 Cooperative.
Accounting for Uncertainties in NWPs using the Ensemble Approach for Inputs to ATD Models Dave Stauffer The Pennsylvania State University Office of the.
Real-time Doppler Wind Quality Control and Analysis Qin Xu National Severe Storms Laboratory/NOAA Pengfei Zhang, Shun Liu, and Liping Liu CIMMS/University.
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.
Reflectivity and Radial Velocity
DATA ASSIMILATION FOR HURRICANE PREDICTION Experimental system and results of semi-operational implementation during the 2010 Atlantic Hurricane Season.
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:
Review of NOAA Intensity Forecasting Experiment (IFEX) 2008 Accomplishments and Plans for 2009 Eric Uhlhorn, Frank Marks, John Gamache, Sim Aberson, Jason.
A Two-Dimensional Velocity Dealiasing Algorithm for the WSR-88D W. Dave Zittel, Zhongqi Jing Radar Operations Center, Norman, OK Nicholas Langlieb WFO,
EumetCal Examples.
Results of First Flight Tests of the WSRA Wide Swath Radar Altimeter Ivan PopStefanija ProSensing Inc. 107 Sunderland Rd. Amherst,
Validation of the Simulated Microphysical Structure within the Midlevel Inflow Region of a Tropical, Oceanic Squall Line Hannah C. Barnes, Robert A. Houze.
Atmospheric InstrumentationM. D. Eastin Fundamentals of Doppler Radar Mesocyclone WER Hook Echo Radar ReflectivityRadar Doppler Velocities.
Image structures: rain shafts, cold pools, gusts Separate rain fall velocity from air velocity – turbulence retrieval– microphysical retrieval Diurnal.
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget SCOTT A. BRAUN J. Atmos. Sci., 63,
Radar Doppler Velocities
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.
Initial Evaluation of the HIAPER Cloud Radar Doppler Velocity Measurements S. M. Ellis, J. Vivekanandan, P. Tsai, E. Loew, C. Burghart, M. Dixon, J. Emmett,
Doppler Lidar Winds & Tropical Cyclones Frank D. Marks AOML/Hurricane Research Division 7 February 2007.
Yuqing Wang Department of Meteorology, University of Hawaii The 65 th IHC, February 28-March 3, 2011.
ISTP 2003 September15-19, Airborne Measurement of Horizontal Wind and Moisture Transport Using Co-deployed Doppler and DIAL lidars Mike Hardesty,
1 Current and planned research with data collected during the IFEX/RAINEX missions Robert Rogers NOAA/AOML/Hurricane Research Division.
INNER CORE STRUCTURE AND INTENSITY CHANGE IN HURRICANE ISABEL (2003) Shuyi S. Chen and Peter J. Kozich RSMAS/University of Miami J. Gamache, P. Dodge,
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.
(2) Norut, Tromsø, Norway Improved measurement of sea surface velocity from synthetic aperture radar Morten Wergeland Hansen.
A Moment Radar Data Emulator: The Current Progress and Future Direction Ryan M. May.
Evolution of Hurricane Isabel’s (2003) Vortex Structure and Intensity
Weather Radar the WSR-88D
Christopher Melhauser Group Meeting December 11, 2013
Simulation of the Arctic Mixed-Phase Clouds
Doppler Radar Basics Pulsed radar
Christopher Melhauser, Fuqing Zhang, Yonghui Weng, Jason Sippel
Methodology for 3D Wind Retrieval from HIWRAP Conical Scan Data:
Doppler Dilemma Ideal in forecasting: Would you settle for:
Examples of spectral fields
Three-dimensional airborne Doppler analyses at HRD
Ocean Winds.
Weather Radar the WSR-88D
Presentation transcript:

Real-Time Dissemination of Hurricane Wind Fields Determined from Airborne Doppler Radar John Gamache NOAA/AOML/Hurricane Research Division Collaborators: Joseph Griffin, Peter Dodge, Nancy Griffin Supported by NOAA Joint Hurricane Test Bed

Project Goals Develop a hurricane wind-field analysis in “real time” and make it available to hurricane specialists at the Tropical Prediction Center Send reliable observations to the Environmental Modeling Center at NCEP for assimilation testing in numerical simulations

Airborne Radar on NOAA P-3 Airborne Radar 1)Scanning axis along aircraft fuselage 2)3-cm wavelength 3)Measures reflectivity (precipitation content) 4)Measures radial velocity from aircraft FOR MORE INFO...

Jorgensen et al., 1983, J. Climate Appl. Meteor, 22,

Present Analysis Software Reliable--Works on multiple platforms Mass-conserving Consistent to within 1-2 m/s with Doppler observations Operates in research mode –Researcher has plenty of time to make decisions regarding errors/assumptions –Final analysis may take years

Hurricane Humberto 23 Sep UTC Altitude: 1km Tangential wind (m/s) Radar Reflectivity (dBZ) And wind field

Hurricane Humberto 23 Sep UTC Azimuth 350 Vertical cross-section of tangential and vertical winds and winds within the plane range from center (km)

Main sources of error from NOAA P-3 Airborne Doppler Radar Doppler radial velocity ambiguity Reflection from sea surface Incorrectly measured antenna pointing direction Noise

Doppler Radial Velocity Ambiguity Velocities determined from radar pulse phase measurements -180 o to 180 o phase range –Corresponds to a radial velocity range –P3--range from to 12.9 up to to 25.8 meters per second--Nyquist velocity Angles 180 o are ambiguous –Corresponding velocity aliased or “folded” –True velocity is measured aliased velocity plus 2 times a multiple of Nyquist velocity

Noise Receiver Noise--power threshold Meteorological Noise –Turbulence in boundary layer –Turbulence in outflow from convection

Reflection from sea surface Main antenna lobe –Beam width vs precipitation content Side lobe –Annular--radius is height of aircraft –Fairly weak “Second trip”--confusion with previous pulse –High spectral width –Usually removed easily by noise edit

Antenna pointing direction errors Pointing direction relative to aircraft Aircraft attitude HRD has software to estimate these errors

Accomplishments Sea-surface reflection removal software developed/preliminary test Speckle removal developed Minor bugs in present de-aliasing removed Two-dimensional de-aliasing scheme development begun Preliminary discussions with EMC on structure of “superobs”

Doppler Radial Velocity Hurricane Humberto UTC 23 Sep 2001

Doppler Radial Velocity Hurricane Humberto UTC 23 Sep 2001

Doppler Radial Velocity Hurricane Humberto UTC 23 Sep 2001

Doppler Radial Velocity Hurricane Humberto UTC 23 Sep 2001

Research QualityAutomatic Comparison of Analyses Created from Research-Quality and Automatically Edited Data At 1 km level in Hurricane Humberto 2330 UTC on 23 September 2001

Next Tasks Improve two-dimensional de-aliasing –Produce consistent velocities within contiguous regions of data –Ensure overall velocity in each contiguous region is consistent with expected hurricane flow

Next Tasks Begin interaction with NCEP/EMC –Determine structure of “superobs” –Begin determination of data error covariance of Airborne Doppler radial velocity measurements Install new software on airborne workstations for 2004 Hurricane Season

Future Tasks Produce test wind analysis aboard aircraft during 2004 Hurricane Season Test sending a prototype superob by end of 2004 Hurricane Season Develop analysis display for Hurricane Specialists during “off season” Begin determination with EMC of Doppler data error covariance Send wind analysis to specialists during 2005 Hurricane Season Continue testing superob transmission during 2005 Hurricane Season