Dual Polarization Is Coming to NEXRAD! Beginning in 2011, All WSR- Functionality
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Bragg Scatter Detection by the WSR-88D
MARCH 2017 R I C H A R D S O N E T A L . 479 Bragg Scatter Detection by the WSR-88D. Part II: Assessment of ZDR Bias Estimation LINDSEY M. RICHARDSON Radar Operations Center, National Weather Service, and Centuria Corporation, Norman, Oklahoma W. DAVID ZITTEL AND ROBERT R. LEE Radar Operations Center, National Weather Service, Norman, Oklahoma VALERY M. MELNIKOV Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and National Severe Storms Laboratory, Norman, Oklahoma RICHARD L. ICE Radar Operations Center, National Weather Service, Norman, Oklahoma, and 557th Weather Wing, Offutt Air Force Base, Nebraska JEFFREY G. CUNNINGHAM 557th Weather Wing, Offutt Air Force Base, Nebraska (Manuscript received 25 January 2016, in final form 6 December 2016) ABSTRACT Clear-air Bragg scatter (CABS) is a refractivity gradient return generated by turbulent eddies that oper- ational Weather Surveillance Radar-1988 Doppler (WSR-88D) systems can detect. The randomly oriented nature of the eddies results in a differential reflectivity (ZDR) value near 0 dB, and thus CABS can be used as an assessment of ZDR calibration in the absence of excessive contamination from precipitation or biota. An automated algorithm to estimate ZDR bias from CABS was developed by the Radar Operations Center and can be used to assess the calibration quality of the dual-polarized WSR-88D fleet. This technique supplements existing ZDR bias assessment tools, especially the use of other external targets, such as light rain and dry snow. The estimates of ZDR bias from CABS using a 1700–1900 UTC time window were compared to estimates from the light rain and dry snow methods. -
Summary of a Program Review Held at Huntsville, Alabama October 19-21, 1982
Summary of a program review held at Huntsville, Alabama October 19-21, 1982 - TECH LIBRARY KAFEI, NM lllllllsllllllRlRllffllilrml OOSSE!?b NASA Conference Publication 2259 NASA/MSFCFY-82 Atmospheric Processes Research Review Compiled by Robert E. Turner George C. Marshall Space Flight Center Marshall Space Flight Center, Alabama Summary of a program review held at Huntsville, Alabama October 19-21, 1982 National Aeronautics and Space Administration Sclontlflc and Tochnlcal InformatIon Branch 1983 ACKNOWLEDGMENTS The productive inputs and comments from the participants and attendees in the Atmospheric Processes Research Review contributed very much to the success of the review. The opportunity provided for everyone to become better acquainted with the work of other investigators and to see how the research relates to the overall objective of NASA's Atmospheric Processes Research Program was an important aspect of the review. Appreciation is expressed to all those who participated in the review. The organizers trust that participation will provide each with a better frame of reference from which to proceed with the next year's research activities. ii PREFACE Each year NASA supports research in various disciplinary program areas. The coordination and exchange of information among those sponsored by NASA to conduct research studies are important elements of each program. The Office of Space Science and Applications and the Office of Aeronautics and Space Technology, via Announcements of Opportunity (AO), Application Notices (AN),etc., invites interested investigators throughout the country to communicate their research ideas within NASA and in institutions. The proposals in the Atmospheric Processes Research area selected and assigned to the NASA Marshall Space Flight Center's (MSFC's) Atmospheric Sciences Division for technical monitorship, together with the research efforts included in the FY-82 MSFC Research and Technology Operating Plan (RTOP1 I are the source of principal focus for the NASA/MSFC FY-82 Atmospheric Processes Research Review. -
6 Improving and Exploiting Polarimetric Weather Radar Data – Plans and Status Richard L. Ice and J. G. Cunningham U.S. Air
6 Improving and Exploiting Polarimetric Weather Radar Data – Plans and Status Richard L. Ice and J. G. Cunningham U.S. Air Force, Air Weather Agency, Operating Location K, Norman, Oklahoma J. N. Chrisman WSR-88D Radar Operations Center, Norman, Oklahoma 1. INTRODUCTION The program also established a significant infrastructure for capturing, processing, and This paper will present recent and planned archiving the digital output of the radar receiver improvements to the Weather Surveillance Radar through time series recording. 1988 Doppler (WSR-88D), addressing near term operational improvements as well as future signal This capability has been the key to the rapidly processing enhancements. It describes practical increasing pace of signal processing ideas, many proven very recently, that have improvements, and also formed the basis of all potential for enhancing the foundational data engineering evaluations aimed at ensuring new from the WSR-88D Doppler Weather Radar. It is signal processing features meet or exceed forward looking, and intended to aid program system requirements. The infrastructure stakeholders as they sustain and improve resulting from the data quality program was operations for this critical national weather asset. instrumental in the evaluation and resulting It follows the spirit of earlier visionary work that approval of the recently completed polarimetric has made the radar a success (Elvander, 2001). upgrade. This potential technology survey and operational There have been many surveys regarding the status update will first review a range of possible future of weather radar that addressed signal technologies and will then present the status of processing improvements (Fabry, 2003, Keeler, the near term software updates that the WSR- 1990, National Academy of Sciences, 2004, 88D Radar Operations Center (ROC) has been Snow, 2003, Zrnic, 2003). -
Boundary Layer Experiment—1983 Edwin W
Roland B. Stull and Boundary Layer Experiment—1983 Edwin W. Eloranta Department of Meteorology University of Wisconsin Madison, WI 53706 Abstract flat pasture by ANL. This system measured the three components of velocity, as well as the thermal structure Interactions between fair-weather cumulus clouds and mixed-layer of the lowest 1.5 km of the boundary layer. ANL also thermals were the focus of a one-month field experiment in Oklahoma. erected a 5 m tower equipped with chemistry and fast- This experiment, called Boundary Layer Experiment—1983 (BLX83), response turbulence sensors, installed a net radiometer, combined remote sensors, surface observations, balloon platforms, and aircraft measurements to study the kinematics at the top of the and launched kytoons that provided profiles of the daytime convective boundary layer. Emphasis was placed on the lowest 800 m of the boundary layer. In addition, a stereo study of the entrainment zone, and on the relationship between indi- camera system was used at the ANL site to provide vidual thermals as identified by lidar and turbulent motions and photographs of local cloud conditions. fluxes as measured by aircraft and sodar. 2) An unmanned Portable Automated Mesonet (PAM II) station, which was designed and operated by NCAR, and also was located at the ANL site. In addition to the 1. Introduction standard variables of mean pressure, temperature, hu- midity, rainfall, and wind speed and direction, this sta- A field experiment was conducted in Oklahoma for the pur- tion provided net radiation data. pose of measuring the interaction between the boundary 3) The UW lidar system (Kunkel et al, 1977; Sroga et al., layer and fair-weather cumulus clouds. -
PROJECT CRAFT a Real-Time Delivery System for NEXRAD Level II Data Via the Internet
PROJECT CRAFT A Real-Time Delivery System for NEXRAD Level II Data Via the Internet BY KEVIN E. KELLEHER, KELVIN K. DROEGEMEIER, JASON J. LEVIT, CARL SINCLAIR, DAVID E. JAHN, SCOTT D. HILL, LORA MUELLER, GRANT QUALLEY, TIM D. CRUM, STEVEN D. SMITH, STEPHEN A. DEL GRECO, S. LAKSHMIVARAHAN, LINDA MILLER, MOHAN RAMAMURTHY, BEN DOMENICO, AND DAVID W. FULKER A multi-institution collaboration demonstrated real time compression and Internet-based transmission technology to make possible an affordable nationwide operational capture, distribution, and archiving of Level II WSR-88D data. he National Oceanic and Atmospheric Admin- severe weather research throughout the country. The istration’s (NOAA’s) National Weather Service Center for Analysis and Prediction of Storms (CAPS) T (NWS) had an underutilized national resource located at the University of Oklahoma (OU) had a in the real-time high-resolution level II radar data. need to use the data to initialize a high-resolution NOAA’s National Severe Storms Laboratory (NSSL) cloud model. NOAA’s National Climatic Data Center had developed a method to access the data in real time, (NCDC) needed a method to improve its data capture but the challenge was finding an affordable way to rate of the level II data for archival purposes. Baron’s disseminate the data given the limitations of the net- Services, a company specializing in radar data for work bandwidth. NSSL needed the data to extend its the commercial television market, needed the data AFFILIATIONS: KELLEHER—NOAA/National Severe Storms Labo- #CURRENT -
Low Elevation Scanning Environmental Assessment For
Environmental Assessment – Relocation of the KLIX WSR-88D SENSOR ENVIRONMENTAL LLC www.sensorenvirollc.com Draft Environmental Assessment Report • July 2020 ENVIRONMENTAL ASSESSMENT (EA) RELOCATION OF THE WEATHER SURVEILLANCE RADAR - MODEL 1988, DOPPLER (WSR-88D) SERVING NEW ORLEANS / BATON ROUGE, LOUISIANA, AREA Prepared by James Manitakos, Project Manager Sensor Environmental LLC 296 West Arbor Avenue Sunnyvale, CA 94085 Andre Tarpinian, Radio Frequency Engineer Alion Science and Technology 306 Sentinel Drive Suite 300 Annapolis-Junction, MD 20701 Prepared for: WSR-88D Radar Operations Center Norman, Oklahoma Environmental Assessment - Relocation of the KLIX WSR-88D This page intentionally left blank. Environmental Assessment - Relocation of the KLIX WSR-88D EXECUTIVE SUMMARY The National Weather Service (NWS) owns and operates the existing Weather Surveillance Radar, Model 1988 Doppler (WSR-88D) serving the New Orleans/Baton Rouge, LA area. The International Civil Aviation Organization designator for the radar is KLIX and the radar is located adjacent to the Weather Forecast Office (WFO) and Lower Mississippi River Forecast Center (RFC) at Slidell Airport in Slidell, St. Tammany Parish, LA. The radar site is about 30 miles northeast of downtown New Orleans, LA and about 78 miles east of downtown Baton Rouge, LA. The KLIX WSR-88D was commissioned in February 1995 and has been in continuous operation since 1995. It is one of 159 WSR-88Ds in the nationwide network. NWS plans to relocate the KLIX WSR-88D from its current site to a new location at Hammond North Shore Regional Airport (HDC) in Hammond, Tangipahoa Parish, LA (about 40 miles west-northwest of the WSR-88D’s existing location). -
Real-Time Implementation of Refractivity Retrieval: Partnership Between the University of Oklahoma, National Severe Storms Laboratory, and the Radar Operations Center
P8B.8 1 REAL-TIME IMPLEMENTATION OF REFRACTIVITY RETRIEVAL: PARTNERSHIP BETWEEN THE UNIVERSITY OF OKLAHOMA, NATIONAL SEVERE STORMS LABORATORY, AND THE RADAR OPERATIONS CENTER B. L. Cheong1 ,∗, R. D. Palmer1 , C. Curtis2 ,3 , K. Hondl3 , P. Heinselman2 ,3 , D. Zrnic3 , D. Forsyth3 , R. Murnan4 , R. Reed4 and R. Vogt4 1 School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA 2 Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma, USA 3 NOAA/OAR National Severe Storm Laboratory, Norman, Oklahoma, USA 4 NWS NEXRAD Radar Operations Center, Norman, Oklahoma, USA ABSTRACT 1. INTRODUCTION High-resolution, near-surface refractivity measurements Until recently, moisture measurements were normally have the potential of becoming an important tool for only possible by in situ instruments. For example, the ra- operational forecasting and general scientific studies. diosonde network across the nation with approximately Access to measured refractivity fields with high spatial 50-100 km spacing performs hourly measurements. To and temporal resolution near the surface opens a new pursue further understanding and better prediction of paradigm for understanding the convective processes convective processes, e.g., convective precipitation and within the boundary layer. It has been shown via ad- its intensification, the existing surface instruments sim- vanced physical models that surface refractivity plays ply do not provide sufficient spatial and temporal reso- an important role in convective processes and, there- lution [Weckwerth and Parsons, 2003]. Fortunately, sur- fore, is expected to be valuable for forecasting the initi- face moisture is now possible to be retrieved remotely ation and intensity of convective precipitation. For this using radar echoes from ground targets [Fabry et al., project, the refractivity field is retrieved remotely us- 1997]. -
Nexrad/Wsr-88D History
NEXRAD/WSR-88D HISTORY NEXRAD (As of June 22, 2018) 1971 - First Doppler radar installed (at National Severe Storms Laboratory (NSSL), OK) to study morphology of storms (June). 1973 - Second Doppler radar installed (at Cimarron Airport, OK) to study morphology of storms (May). 1976 - DOC, DOD, DOT (tri-agency) formed Joint Doppler Operational Project (JDOP) to explore benefits of Doppler radar observations. 1978 - JDOP report presented three basic findings: .. 20 minute average lead time for detecting storm before occurrence; .. Doppler able to detect gust fronts; .. Doppler information can be processed for display in real time. 1979 - The US Air Force Geophysical Laboratory (AFGL) transferred 5 cm Doppler radar to Norman, OK to compare with NSSL radar (Spring). - April 10th storm (at Wichita Falls, TX) provided evidence that 5 cm radar had; .. More attenuation; .. More range folding; .. More velocity aliasing. - The Office of the Federal Coordinator for Meteorological Services and Supporting Research (OFCM) approved concept document of NEXRAD (July). - OFCM established NEXRAD Program Council (NPC) (July). - NPC approved formation of Radar Test and Development Branch (RTDB) (Fall). - The Congressional Office of Management and Budget (OMB) directed OFCM to conduct a tri-agency crosscut study for NEXRAD (October). - The National Oceanic and Atmospheric Administration (NOAA) approved establishing of the Joint System Program Office (JSPO) (November). 1980 - NPC approved establishment of Interim Operational Test Facility (IOTF) (forerunner of Operational Support Facility) (OSF). - NPC formed NEXRAD Technical Advisory Committee (TAC) (Spring). - Congress appropriated first funding (1981) for NEXRAD (October). 1981 - RTDB name changed to Interim Operational Test Facility (IOTF). - NPC approved Joint Operational Requirements (JOR) (January). -
Weather Surveillance Radar - 1988 Doppler (WSR-88D) Integrated Logistics Support Plan
R400-IS301C 15 March 2002 Supercedes R400-IS301B 01 June 1998 Weather Surveillance Radar - 1988 Doppler (WSR-88D) Integrated Logistics Support Plan TABLE OF CONTENTS Page 1. INTRODUCTION ..................................................1-1 1.1 Overview..................................................1-1 1.1.1 Purpose ...........................................1-1 1.1.2 Program Summary...................................1-2 1.2 Applicability ................................................1-2 1.2.1 Background ........................................1-2 1.2.2 Scope.............................................1-2 1.2.3 Program Management Responsibility .....................1-3 1.3 References................................................1-3 1.4 WSR-88D System Description .................................1-4 1.4.1 Radar Data Acquisition ................................1-4 1.4.2 Radar Product Generator ..............................1-4 1.4.3 Principal User Processor ..............................1-5 1.4.4 Communications.....................................1-5 1.4.5 Facilities ...........................................1-5 2. AGENCY, DEPOT AND USER RESPONSIBILITIES ......................2-1 2.1 General ...................................................2-1 2.2 Program Management Committee ..............................2-1 2.3 Department of Commerce, National Weather Service ...............2-2 2.3.1 Office of Science and Technology .......................2-2 2.3.2 Office of Operational Systems ..........................2-4 2.3.3 National Weather -
MEMORANDUM of AGREEMENT Among the Department Of
MEMORANDUM OF AGREEMENT among the Department of Commerce Department of Defense and Department of Transportation for Interagency Operation of the Weather Surveillance Radar-1988, Doppler (WSR-88D) March 2021 NOAA-DOT-DOD-NEXRAD-2021 CONTENTS Page ACRONYMS AND ABBREVIATIONS.......................................... iv DEFINITION OF TERMS................................................. v 1. PURPOSE........................................................ 1 2. BACKGROUND..................................................... 2 A. NEXRAD Program Council ..................................... 2 B. NEXRAD Program Management Committee ........................ 3 C. Radar Operations Center .................................. 3 D. Technical Advisory Committee ............................. 4 E. WSR-88D Sites .............................................. 4 F. Federal Meteorological Handbook Number 11, Doppler Radar Meteorological Observations ................. 4 G. Recent Changes in Data Distribution to Principal Users .... 5 3. POLICY......................................................... 5 4. UNIT RADAR COMMITTEE........................................... 5 A. Membership ................................................... 6 B. Functions .................................................... 6 C. Responsibilities and Limitations of Authority .............. 8 D. Equitable Apportionment of Costs ........................... 9 5. FOCAL POINTS ................................................. 10 6. DEPARTMENT OF COMMERCE RESPONSIBILITIES....................... -
Comparing Dual-Polarization Radar Lightning Forecast Methods Across Southwest Utah Daniel O
Air Force Institute of Technology AFIT Scholar Theses and Dissertations Student Graduate Works 3-22-2019 Comparing Dual-Polarization Radar Lightning Forecast Methods across Southwest Utah Daniel O. Katuzienski Follow this and additional works at: https://scholar.afit.edu/etd Part of the Atmospheric Sciences Commons, and the Meteorology Commons Recommended Citation Katuzienski, Daniel O., "Comparing Dual-Polarization Radar Lightning Forecast Methods across Southwest Utah" (2019). Theses and Dissertations. 2203. https://scholar.afit.edu/etd/2203 This Thesis is brought to you for free and open access by the Student Graduate Works at AFIT Scholar. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of AFIT Scholar. For more information, please contact [email protected]. Comparing Dual-Polarization Radar Lightning Forecast Methods Across Southwest Utah THESIS Daniel O. Katuzienski, 1st Lt, USAF AFIT-ENP-MS-19-M-083 DEPARTMENT OF THE AIR FORCE AIR UNIVERSITY AIR FORCE INSTITUTE OF TECHNOLOGY Wright-Patterson Air Force Base, Ohio DISTRIBUTION STATEMENT A APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED. The views expressed in this document are those of the author and do not reflect the official policy or position of the United States Air Force, the United States Department of Defense or the United States Government. This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States. AFIT-ENP-MS-19-M-083 COMPARING DUAL-POLARIZATION RADAR LIGHTNING FORECAST METHODS ACROSS SOUTHWEST UTAH THESIS Presented to the Faculty Department of Engineering Physics Graduate School of Engineering and Management Air Force Institute of Technology Air University Air Education and Training Command in Partial Fulfillment of the Requirements for the Degree of Master of Science in Atmospheric Science Daniel O. -
Bragg Scatter Detection by the WSR-88D. Part I: Algorithm Development
VOLUME 34 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY MARCH 2017 Bragg Scatter Detection by the WSR-88D. Part I: Algorithm Development a,b c a LINDSEY M. RICHARDSON, JEFFREY G. CUNNINGHAM, W. DAVID ZITTEL, a a,c d,e ROBERT R. LEE, RICHARD L. ICE, VALERY M. MELNIKOV, f,g f,h NICOLE P. HOBAN, AND JOSHUA G. GEBAUER a Radar Operations Center, National Weather Service, Norman, Oklahoma b Centuria Corporation, Norman, Oklahoma c 557th Weather Wing, Offutt Air Force Base, Nebraska d Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma e National Severe Storms Laboratory, Norman, Oklahoma f Research Experiences for Undergraduates, National Weather Center, Norman, Oklahoma g North Carolina State University, Raleigh, North Carolina h University of Oklahoma, Norman, Oklahoma (Manuscript received 25 January 2016, in final form 6 December 2016) ABSTRACT Studies have shown that echo returns from clear-air Bragg scatter (CABS) can be used to detect the height of the convective boundary layer and to assess the systematic differential reflectivity (ZDR) bias for a radar site. However, these studies did not use data from operational Weather Surveillance Radar-1988 Doppler (WSR-88D) or data from a large variety of sites. A new algorithm to automatically detect CABS from any operational WSR-88D with dual-polarization capability while excluding contamination from precipitation, biota, and ground clutter is presented here. Visual confirmation and tests related to the sounding parameters’ relative humidity slope, refractivity gradient, and gradient Richardson number are used to assess the algo- rithm. Results show that automated detection of CABS in operational WSR-88D data gives useful ZDR bias information while omitting the majority of contaminated cases.