NEXRAD Radar Operations Center - Reports & Conference Papers (2024)

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Radar Operations Center

General Reports & Conference Papers

The Radar Operations Center provides the following General Reports and Conference Papers to the public. You are free to view or download the document(s). Please Note: All of the documents, below, are in PDF format.

General Reports:

2012

Evaluation of Dual Polarization QPE: Initial results for spring and summer 2012
Summary: This report documents dual pole QPE performance as compared to legacy PPS. There are examples of dual pole QPE successes and failures and there are recommendations for improving the QPE algorithm.

2011

Storm of the Week Pilot Project
Summary: This report documents the results of a pilot project to provide recurring dual polarization training to the field forecaster. The project was jointly conducted by WDTB, ROC and NSSL. Date: 12 April - 10 May, 2011

2010

Operational Assessment of Pre-Deployment WSR-88D Dual Polarization Data
Summary: This report documents the result of an operational assessment of pre-deployment dual polarization data conducted in August of 2010. Date: 17 - 19 August, 2010

Conference Papers:

2023

Richardson, L., A. Losey-Bailor, J. Krause, B. Ward, 2023: An Updated Wind Turbine Impact Assessment Method Applied to the WSR-88D Network.40th Conference on Radar Meteorology, Minneapolis, MN, August 2023.

2019

Zhang, G., V. N. Mahale, B. J. Putnam, Y. Qi, Q. Cao, A. D. Byrd, P. Bukovcic, D. S. Zrnic, J. Gao, M. Xue, Y. Jung, H. D. Reeves, P. L. Heinselman, A. Ryzhkov, R. D. Palmer, P. Zhang, M. Weber, G. M. Mcfarquhar, B. Moore III, Y. Zhang,J. Zhang, J. Vivekanandan, Y. Al-Rashid, R. L. Ice, D. S. Berkowitz. C. Tong, C. Fulton, and R. J. Doviak, 2019: Current Status and Future Challenges of Weather Radar Polarimetry: Bridging the Gap between Radar Meteorology/Hydrology/Engineering and Numerical Weather Prediction. Adv. Atmos. Sci. 36, 571-588. https://doi.org/10.1007/s00376-019-8172-4

Melnikov, V. M., D. S. Zrnic, A. D. Free, R. L. Ice, R. W. Macemon, 2019: System ZDR of the WSR-88D: Hardware Issues and Temperature Dependence.35th Conference on Environmental Information Processing Technologies, Phoenix, Arizona, January 2019.

Losey-Bailor, A. D., W. D. Zittel, and Z. Jing, 2019: Improving Doppler Velocity Coverage on the WSR-88D by Using Low PRFs with 2DVDA.39th International Conference on Radar Meteorology, Nara, Japan, September 2019..

Richardson, L. M. and I. Ivic, 2019: A Less-Tapered Signal Processing Window for Polarimetric Variables.39th International Conference on Radar Meteorology, Nara, Japan, September 2019.

Richardson, L. M. and R. R. Lee, 2019: An Improved Technique for Estimating ZDR Bias from Light Rain on Radars That Do Not Vertically Point.39th International Conference on Radar Meteorology, Nara, Japan, September 2019.

2018

Melnikov, V. M., D. S. Zrnic, A. D. Free, R. L. Ice, and R. W. Macemon, 2018: Monitoring Radar Calibration Using Ground Clutter. Conference on Environmental Information Processing Technologies, Austin, Texas, January 2018

2017

Losey, A., W. D. Zittel, and Z. Jing, 2017: Use of Mid-Level Model Data And VAD Winds To Improve WSR-88D Velocity Dealiasing. AMS, 38th Conference on Radar Meteorology, Chicago, IL, August 2017.

Richardson, L.M., J.G. Cunningham, W.D. Zittel, R.R. Lee, R.L. Ice, V.M. Melnikov, N.P. Hoban, and J.G. Gebauer, 2017: Bragg Scatter Detection by the WSR-88D. Part I: Algorithm Development. J. Atmos. Oceanic Technol., 34, 465-478, https://doi.org/10.1175/JTECH-D-16-0030.1

Richardson, L. M., W. D. Zittel, R. R. Lee, V. M. Melnikov, R. L. Ice, and J. G. Cunningham, 2017: Bragg Scatter Detection by the WSR-88D. Part II: Assessment of ZDR Bias Estimation. J. Atmos. Oceanic Technol., 34, 479-493, https://doi.org/10.1175/JTECH-D-16-0031.1

Ice, R. L., L. M. Richardson, A. E. Daniel, A. D. Free, R. W. Macemon, G. S. Secrest, R. R. Lee, and J. C. Hubbert, 2017: Monitoring the Performance of the Polarimetric WSR-88D - Calibration and Sensitivity. 33rd Conference on Environmental Information Processing Technologies, Seattle, Washington.

2015

Ice, R.L., Heck, A.K., McGuire, B.J., Richardson, L.M., Zittel, W.D., Lee, R.R., Cunningham, J.G., 2015: Polarimetric Weather Radar Antenna Calibration Using Solar Scans.31st Conference on Environmental Information Processing Technologies, Phoenix, AZ, January 2015.

Zittel, W.D., Lee, R.R., Richardson, L.M., Cunningham, J.G., Schultz, J.A., Ice, R.L., 2015: 11.2 GEOGRAPHICAL AND SEASONAL AVAILABILITY OF LIGHT RAIN, DRY SNOW, AND BRAGG SCATTER TO ESTIMATE WSR-88D ZDR SYSTEM BIAS.95th AMS, 31st Conference on Environmental Information Processing Technologies, Phoenix, AZ, 4-8 January 2015.

2014

Ice, R.L., Heck, A.K., Cunningham, J.G., Zittel, W.D., Lee, R.R., 2014: Polarimetric Weather Radar Antenna Calibration Using Solar Scans.Antenna Measurement Techniques Association 2014 Annual Meeting and Symposium, Tucson, AZ, October 2014.

Ice, R.L., Heck, A.K., Cunningham, J.G., Zittel, W.D., 2014: Challenges of Polarimetric Weather Radar Calibration8th Conference on Radar in Meteorology and Hydrology, Garmisch-Partenkirchen, Germany, Sept 2014.

Zittel, W.D, Cunningham, J.G., Lee, R.R., Richardson, L.M., Ice, R.L., Melnikov, V., 2014: Use of Hydrometeors, Bragg Scatter, and Sun Spikes to Determine System ZDR Biases in the WSR-88D Fleet8th Conference on Radar in Meteorology and Hydrology, Garmisch-Partenkirchen, Germany. Sept 2014.

Lee, R.R., Cunningham, J. G., Zittel, D., 2014: Differential Reflectivity (ZDR) Calibration: The Devil is in the Details18th Annual Severe Storms and Doppler Radar Conference, Des Moines, IA, March 27-29th 2014.

Daniel, A.E., Chrisman, J.N., Ray, C.A., Smith, S.D., Miller, M.W., 2014: NEW WSR-88D OPERATIONAL TECHNIQUES: RESPONDING TO RECENT WEATHER EVENTS30th Conference on Environmental Information Processing, Atlanta GA, February 2014.

Ice, R.L., Chrisman, J.N., Cunningham, J. G., 2014: IMPROVING AND EXPLOITING POLARIMETRIC WEATHER RADAR DATA - PLANS AND STATUS30th Conference on Environmental Information Processing, Atlanta GA, February 2014.

Hoban, N.P., Cunningham, J. G., Zittel D., 2014: ESTIMATING SYSTEMATIC WSR-88D DIFFERENTIAL REFLECTIVITY (ZDR) BIASES USING BRAGG SCATTERING30th Conference on Environmental Information Processing, Atlanta GA, February 2014.

2013

Cunningham, J. G., Zittel W.D., Lee, R.R., Ice, R.L., 2013: METHODS FOR IDENTIFYING SYSTEMATIC DIFFERENTIAL REFLECTIVITY (ZDR) BIASES ON THE OPERATIONAL WSR-88D NETWORK36th Conference on Radar Meteorology, Breckenridge CO, September 2013.

Ice, R., Cunningham, J., Chrisman, J., Zittel, W.D., Smith, S. D.,Boydston, O., Heck, A., Cook, R., 2013: WSR-88D PROGRAM DATA QUALITY AND EFFICIENCY ENHANCEMENTS - PLANS AND STATUS36th Conference on Radar Meteorology, Breckenridge CO, September 2013.

Ice, R., Cunningham, J., Heck, A., 2013: POLARIMETRIC WEATHER RADAR CALIBRATION - ENGINEERING CHALLENGES36th Conference on Radar Meteorology, Breckenridge CO, September 2013.

Berkowitz, D.S., Schultz, J.A., Vasiloff, S., Elmore, K.L., Payne, C.D., Boettcher, J.B. 2013: Status of Dual Pol QPE in the WSR-88D Network.93th AMS, 27th Conference on Hydrology, Austin, TX.

2012

Zittel, W.D., Zhongqi, J., 2012: Comparison of a 2-D Velocity Dealiasing Algorithm to the Legacy WSR-88D Velocity Dealiasing Algorithm During Hurricane Irene.30th Conference on Hurricanes, Ponte Vedra Beach, FL.

Saxion, D. and Ice, R., 2012: New Science for the WSR-88D: Status of the Dual Polarization Upgrade.92nd AMS, 28th IIPS, New Orleans, LA.

Saxion, D. and Ice, R., 2012: Enhancing the Foundational Data From the WSR-88D: Part I, A History of Success.92nd AMS, 28th IIPS, New Orleans, LA and the 35th Conference on Radar Meteorology, Pittsburg, PA.

Ice, R., 2012 and Saxion, D.: Enhancing the Foundational Data From the WSR-88D: Part II, The Future.92nd AMS, 28th IIPS, New Orleans, LA and the 35th Conference on Radar Meteorology, Pittsburg, PA.Poster

Prather, M., Saxion, D., 2012: WSR-88D: Technology Evolution of Level I Data Recording.92nd AMS, 28th IIPS, New Orleans, LA

co*cks, S., Berkowitz, D., Murnan, R., Schultz, J., Castleberry, S., Howard, K., Elmore, K., Vasiloff, S., 2012: Initial Assessment of the Dual-polarization Quantitative Precipitation Estimate Algorithm's Performance for Three Dual-Polarization WSR-88Ds92nd AMS, 28th IIPS, New Orleans, LA.

2011

Ice, R., Boydstun, O., Zittel, W. D., Hall, R., Cate, G., Rhoton, R., Maceman, R., Walker, B., 2011: Sensitivity of Operational Weather Radars.27th IIPS, Seattle, WA.

Horvat, D. J. , Horvat, C. A., Calvert, C., Crum, T., 2011: The Refreshed WSR-88D Level II Data Collection and Distribution Network.AMS, IIPS

2010

Ice, R., Free, A., Cate, G., Saffle, R., Sirmans, D., Zrnic, D., Torres, S., Warde, D., Hubbert, J., 2010: A Signal Processing Roadmap for NEXRAD Poster.26th IIPS, Atlanta, GA.

2009

Witt, A., R. A. Brown, and Z. Jing, 2009: Performance of a new velocity dealiasing algorithm for the WSR-88D. AMS, 34th Conf. on Radar Meteorology, Williamsburg, VA.

Ice, R. L., Rhoton, R. D., Krause, J. C., Saxion, D. S., Boydstun, O. E., Heck, A. K., Chrisman, J. N., Berkowitz, D. S., Zittel, W. D., Warde, D. A., 2009: Automatic Clutter Mitigation in the WSR-88D - Design, Evaluation, and Implementation.AMS, 34th Conference on Radar Meteorology, Williamsburg, VA.

Saxion, D.S., Zittel, W. D., Boydstun, O.E., Rhoton, R.D., Ice, R.L., Krause, J.C., Torres, S., Warde, D.A., 2009: New Science For the WSR-88D: Staggered PRT Implementation on the Vaisala/Sigmet RVP8.AMS, 34th Conference on Radar Meteorology, Williamsburg, VA.

Chrisman, J. N., 2009: Automated Volume Scan Evaluation and Termination (AVSET); A Simple Technique to Achieve Faster Volume Scan Updates.34th Conference on Radar Meteorology, Oct 5-9, Williamsburg, VA.

Chrisman, J. N. & Smith, S. D., 2009: Enhanced Velocity Azimuth Display Wind Profile (EVWP) Function for the WSR-88D34th Conference on Radar Meteorology, Oct 5-9, Williamsburg, VA.

2008

Crauder, D., Zittel, W.D., 2008: Evaluation of a Faster Scanning Strategy for the WSR-88D Combined Range Aliasing Mitigation Techniques.24th IIPS, New Orleans, LA.

Zittel, W.D., Saxion, D., Rhoton, R., Crauder, D., 2008: Combined WSR-88D Technique to Reduce Range Aliasing Using Phase Coding and Multiple Doppler Scans.24th IIPS, New Orleans, LA.

2007

Macemon, R. W., N. K. Patel, J. R.Cory, A. D. Free, and G. W. Jim, 2007: Open Radar Data Acquisition (ORDA) Calibration Analysis.23rd Conference on Interactive Information Processing Systems for Meteorology, San Antonio, Texas, January 2007.

Ice, R. L., Rhoton, R., Saxion, D. S., Ray, C. A., Patel, N. K., Warde, D. A., Free, A. D., Boydstun, O. E., Berkowitz, D. S., Chrisman, J. N, Hubbert, J. C., Kessinger, C., Dixon, M. & Torres, S., 2007: Optimizing Clutter Filtering in the WSR-88D.23rd International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology.

Saxion, D. S., Rhoton, R., Ice, R. L., McGehee, G. T., Warde, D. A., Boydstun, O. E., Zittel, W. D., Torres, S. & Meymaris, G., 2007: New Science for the WSR-88D: Implementing a Major Mode on the SIGMET RVP8.23rd International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology.

Chrisman, J. N. & Ray, C. A., 2007: A Method to Reduce the Clutter Filter Induced Data Bias by Improving the Vertical Application of the WSR-88D Bypass Maps.23rd International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, AMS, San Antonio, TX.

Ray, C. A. & Chrisman, J. N., 2007: A Data Quality Comparison of the WSR-88D Legacy Radar Data Acquisition (RDA) to the Open RDA (ORDA) in a Challenging Clutter Regime.23rd International Conference on Interactive Information Processing Systems for Meteorology, Oceanography and Hydrology, AMS, San Antonio, TX.

Jain, M., Bumgarner, B., Forren, E. & Smith, S. D., 2007: Common Basedata Format Supports Research and Operational NEXRAD Radar Requirements.23rd IIPS Conference, American Meteorology Society, January 2007

Kelleher, K., Droegemeir, K., Levit, J., Sinclar, C., Jahn, D., Hill, S. D., Mueller, L., Qualley, G., Crum, T. D., Smith, S. D., Del Greco, S. A., Lakshmivarahan, S., Miller, L., Ramamurthy, M., Domenico, B. & Fulker, David, 2007: PROJECT CRAFT - A Real-time Delivery System for NEXRAD Level II Data Via the Internet. Bulletin of the American Meteorology Society, July 2007.

2006

Free, A. D., N. K. Patel, and R. W. Macemon, 2006: Open Radar Data Acquisition (ORDA) Calibration Consistency.22nd Conference on Interactive Information Processing Systems for Meteorology, Atlanta, Georgia, February 2006.

2005

Ice, R. L., Warde, D. A., Pratte, F., 2005: Investigating External and Dual Polarization Calibration Options for the WSR-88D.32nd Conference on Radar Meteorology, AMS, Albuquerque, NM

Ice, R. L., Warde, D. A. , Bumgarner, B., 2005: Technical Contributions of Mr. Dale Sirmans to Doppler Weather Radar Development.32nd Conference on Radar Meteorology, AMS, Albuquerque, NM

Saxion, D. S., Rhoton, R., McGehee, G. T., Ice, R. L., Warde, D. A. & Sirmans, D., 2005: Radar Operation Center (ROC) Production Software Status for RV Ambiguity Mitigation.21st International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology.

Chrisman, J. N. & Ray, C. A., 2005: A First Look at the Operational (Data Quality) Improvements Provided by the Open Radar Data Acquisition (ORDA) System.Preprint-CD, 32nd Conference on Radar Meteorology, AMS, Albuquerque, NM

Ice, R. L., G. T., McGehee, R., Rhoton, D., Saxion, N. K., Patel, D., Sirmans, D. A., Warde, R. G., Guenther & D., Rachel, 2005: Radar Operations Center (ROC) Evaluation of New Signal Processing Techniques for the WSR-88D.21st International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology.

Crum, T. D., Gilbert, C., Smith, S. D., Heimer, J., Casamento, J., Blanchard, W., Cragg, P., Sandman, T. & Istok, M., 2005: An Update on The NWS WSR-88D Level II Data Collection and Distribution Network and Plans for Changes.21st IIPS Conference, January, 2005

2004

Patel, N. K. and R. W. Macemon, 2004: Conference on Interactive Information Processing Systems for Meteorology, Seattle, Washington, January 2004.

Ice, R. L., Rhoton, R., Saxion, D., Patel, N. K., Sirmans, D., Warde, D. A., Rachel, D. & Fehlen, R. G., 2004: Radar Operations Center (ROC) Evaluation of the WSR-88D Open Radar Data Acquisition (ORDA) System Signal Processing.20th International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology.

2002

Smith, S. D., Kelleher, K. & Lakshmivarahan, S., 2002: Compression of NEXRAD (WSR-88D) Radar Data using Burrows-Wheeler Algorithm.18th IIPS Conference, American Meteorology Society, January 2002

Scott, R., Steadham, R. & Brown, R. 2002: New Scanning Strategies for the WSR-88D.CD-ROM preprint volume, 19th International Conf. on Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology, Long Beach, CA, Amer. Meteor. Soc.

Steadham, R., Brown, R. & Wood, V., 2002: Prospects for Faster and Denser WSR-88D Scanning Strategies. 18th International Conf. on Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology, Orlando, FL, Amer. Meteor. Soc., J99-J101.

2001

Zittel, W. D., Lee, R. R., Mitchell, E. D., & Sirmans, D., 2001: Environmental and Signal Processing Conditions That Negatively Impact the Performance of the WSR-88D Tornado Algorithm.30th Radar Conference 19 - 25 July 2001, Munich Germany.

1999

Chrisman, J. & Chrisman, C., 1999: An Operational Guide To WSR-88D Reflectivity Data Quality Assurance.WSR-88D Radar Operations Center paper, 15pp. Available from WSR-88D Radar Operations Center, 1313 Halley Circle, Norman, OK 73072.

1998

Lee, R. R., Magsig, M. A., Stumpf, G.J. & Mitchell, E. D. 1998: Performance of Radar Circulation Detection Algorithms: Texas Tornadoes 27 May 1997.16th Conf. On Weather Analysis and Forecasting, Phoenix, AZ, 11-16 January 1998, pp 240-242.

Lee, R. R. & White, A. 1998: Improvement of the WSR-88D Mesocyclone Algorithm.Wea. Forecasting, 13, 341-351.

Lee, R. R. 1998: User Feedback on the Evolution of WSR-88D Algorithms and Products.Preprints, 19th Conf. on Severe Local Storms, Minneapolis, MN, Amer. Meteor. Soc., 748-751.

Lee, R. R., Stumpf, G. J. & Spencer, P. L. 1998: Should Geographic Region or Near-storm Environment Dictate WSR-88D Algorithm Adaptable Parameter Settings?Preprints, 19th Conf. on Severe Local Storms, Minneapolis, MN, Amer. Meteor. Soc., 784-787.

Fresch, M. & Klimowski, B. A., 1998: Effects of Changing the WSR-88D Hail Detection Algorithm (HDA) WTSM OffsetWSR-88D Radar Operations Center, Norman, Oklahoma.

Lee, R. R. & Mitchell, E. D., 1998: Performance of the WSR-88D Build 10 Tornado Detection Algorithm: Development of Optimal Adaptable Parameter SetsWSR-88D Radar Operations Center, Norman, Oklahoma.

Lee, R. R. & Mitchell, E. D., 1998: Performance of the WSR-88D Build 10 Tornado Detection Algorithm: Adaptable Parameter Sensitivity Studies.WSR-88D Radar Operations Center, Norman, Oklahoma. (Please note: This is a converted PowerPoint Presentation.)

Lee, R.R., 1997: Regional Adaptation of NEXRAD Mesocyclone and TVS Algorithms.Preprints, 28th Conf. on Radar Meteorology, Austin, TX, Amer. Meteor. Soc. , 347-348.

1997

Jing, Z., Smith, S. D., Jain, M. & Zahrai, A., 1997: Migration of Legacy WSR-88D Algorithm and Product Generators to the Open System RPG Aerospace and Electronics Conference, Proceedings of the IEEE, July 1997.

Zittel, W.D., Fresch, M., Lee, R. R. & Mitchell, E.D., 1997: The New Tornadic Vortex Signature Detection Algorithm (TDA) for Build 10 December 1997 Issue of NEXRAD NOW

1994

Chrisman, J. N., Rinderknecht, D. M. & Hamilton, R.S., 1994: WSR-88D Clutter Suppression and Its Impact on Meteorological Data Interpretation. Postprints, The First WSR-88D Users' Conference, Norman, OK, USA, Oct 1994.

NEXRAD Radar Operations Center - Reports & Conference Papers (2024)

FAQs

How many NEXRAD radars are there in the US? ›

NEXRAD or Nexrad (Next-Generation Radar) is a network of 159 high-resolution S-band Doppler weather radars operated by the National Weather Service (NWS), an agency of the National Oceanic and Atmospheric Administration (NOAA) within the United States Department of Commerce, the Federal Aviation Administration (FAA) ...

How to access NEXRAD data? ›

NEXRAD data can be accessed through the following data access services:
  1. NEXRAD Inventory. ...
  2. Climate Data Online. ...
  3. Interactive Radar Map. ...
  4. NOAA Open Data Dissemination. ...
  5. Weather and Climate Toolkit. ...
  6. NCEI Online Store.

What are the levels of NEXRAD data? ›

The NEXRAD products are divided in two data processing levels. The lower Level II data are base products at original resolution. Level II data are recorded at all NWS and most USAF and FAA WSR-88D sites. From the Level II quantities, computer processing generates numerous meteorological analysis Level III products.

What is NEXRAD used for? ›

NEXRAD detects, processes, and distributes for display hazardous and routine weather information. Through a joint program, the Department of Commerce's National Weather Service (NWS), Department of Defense (DoD), and FAA developed NEXRAD.

What is the best radar in the world? ›

What Is the Most Advanced Radar?
  • RBE2-AA. The RBE2-AA is a French AESA radar equipped on the Rafale fighter jet, enhancing its multirole capabilities. ...
  • GaN AESA Radar Technology. ...
  • S-400 Triumf Radar Systems. ...
  • AN/APG-81. ...
  • JY-26 Skywatch-U. ...
  • AN/APY-10. ...
  • AN/APG-77. ...
  • AN/SPY-6.

Can NEXRAD penetrate weather? ›

The Owner's Manual for the GPS device specifically states that NEXRAD weather data should be used for "long-range planning purposes only," and not to "penetrate hazardous weather," as the "NEXRAD data is not real time." The NTSB meteorologist determined that the NEXRAD mosaic images were up to eight minutes, 22 seconds ...

Which weather radar is the most accurate? ›

The WSR-88D is one of the most powerful and advanced Weather Surveillance Doppler Radar in the world. Since first being built and tested in 1988, it has been installed and used operationally at over 160 locations across the United States, including Alaska and Hawaii.

What radar do storm chasers use? ›

This is an absolute essential when it comes to storm chasing. It can't just be any weather radar; it must be a highly reflective Doppler radar. This will give you accurate and timely data for your location.

What is the difference between Level 2 and Level 3 radar data? ›

Basically, Level II data contain the radar moments (reflectivity, radial ve- locity, and spectrum width) contained on a coordinate grid consistent with the particular volume coverage pattern (VCP) used for data collection. Level III data are processed products, which can be displayed as images.

Can NEXRAD detect clouds? ›

NWS operators change NEXRAD station sensitivity (VCP) depending on current weather conditions. Generally they are either in clear air mode or looking for convection. A clear air VCP will display very light precip, clouds, dust, birds or smoke.

What frequency is the NEXRAD radar? ›

NEXRAD stations use the Weather Surveillance Radar - 1988, Doppler (WSR-88D) system. This is a 10 cm wavelength (S-Band) radar that operates at a frequency between 2,700 and 3,000 MHz.

What is the difference between NEXRAD and TDWR? ›

The TDWR radar stations are maintained and operated by the Federal Aviation Administration. Both radar's are pulsed Doppler types that measure reflectivity out to 460 km, and radial velocity and spectrum width out to 300 km for NEXRAD and 90 km for TDWR.

How accurate is NEXRAD? ›

The study con- cluded that NEXRAD precipitation estimates were 5–10% less than rain gauge estimates overall for the three-year study period, and further that NEXRAD tended to underestimate rainfall for storm events.

Does NEXRAD show lightning? ›

Lightning displayed certainly does. But what else can we look for? There are two major considerations—the overall atmospheric conditions, and the gradient of the radar return. It's important to know the broad weather conditions in the area when you look at a Nexrad display.

How to download NEXRAD data? ›

The easiest way to browse and download NEXRAD files is with the Google Cloud Storage Console. You can also access the files with the Google Cloud CLI, one of the Google Cloud Client Libraries, or with the JSON or XML API. For guides on using these tools to list objects and filter the results, see Listing Objects.

How many radars are in the US? ›

There are 155 WSR-88D Doppler radar in the nation, including the U.S. Territory of Guam and the Commonwealth of Puerto Rico, operated by the National Weather Service and the Department of Defense.

How many fixed Doppler radars do we have in the US? ›

There are 155 WSR-88D Doppler radars in the United States, including the U.S. Territory of Guam and the Commonwealth of Puerto Rico. Most radars are operated by the NWS or the Department of Defense. Click here to view a map of the WSR-88D Doppler Radar network.

How many FAA radars are there? ›

Over 750 ground-based radar systems continue to serve as the NAS surveillance backbone, and provide coverage to: Monitor airspace where Automatic Dependent Surveillance-Broadcast (ADS-B) is not required. Detect aircraft not equipped with either ADS-B or a beacon transponder.

What radar does the US military use? ›

AN/TPQ-53. Developed for the U.S. Army, the solid-state phased array AN/TPQ-53 radar system, or, Q-53, detects, classifies, tracks and determines the location of enemy indirect fire in either 360 or 90 degree modes.

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