Short-wavelength technology and the potential for distributed networks of small radar systems

Bulletin of the American Meteorological Society

Volumn 90, Issue 12, 2009, Pages 1797-1817

  Mclaughlin, David ^a   Pepyne, David ^a   Chandrasekar, V ^b   Philips, Brenda ^a   Kurose, James ^a   Zink, Michael ^a   Droegemeier, Kelvin ^c   Cruz Pol, Sandra ^d   Junyent, Francesc ^b   Brotzge, Jerald ^c   Westbrook, David ^a   Bharadwaj, Nitin ^b   Wang, Yanting ^b   Lyons, Eric ^a   Hondl, Kurt ^e   Liu, Yuxiang ^b   Knapp, Eric ^a   Xue, Ming ^c   Hopf, Anthony ^a   Kloesel, Kevin ^c   Defonzo, Alfred ^a   Kollias, Pavlos ^f   Brewster, Keith ^c   Contreras, Robert ^a   Dolan, Brenda ^b   Djaferis, Theodore ^a   Insanic, Edin ^a   Frasier, Stephen ^a   Carr, Frederick ^c   more..

^a UNIVERSITY OF MASSACHUSETTS   (United States)

^b Department of Environmental and Radiological Health Sciences   (United States)

^c UNIVERSITY OF OKLAHOMA   (United States)

^d UNIVERSITY OF PUERTO RICO   (Puerto Rico)

^e NATIONAL SEVERE STORMS LABORATORY   (United States)

^f MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY LAYERS; METEOROLOGICAL PROBLEMS; RADAR SYSTEMS; RAIN;

ADAPTIVE SENSING; COMMUNICATION TOWERS; DIRECT RESPONSE; DISTRIBUTED NETWORKS; NATIONAL SCIENCE FOUNDATIONS; SHORT WAVELENGTHS; WARNING TECHNOLOGIES; WEATHER HAZARDS;

WEATHER FORECASTING;

EID: 75249083530     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009BAMS2507.1     Document Type: Article

References (67)

1. Bharadwaj, N., and V. Chandrasekar, 2005: Waveform design for CASA X-band radars. Preprints, 32nd Conf. on Radar Meteorology, Albuquerque, NM, Amer. Meteor. Soc., P10R.13. [Available online at http://ams.confex.com/ ams/32Rad1Meso/techprogram/paper-96347.htm.]
2. -, and-, 2007: Phase coding for range ambiguity mitigation in dual-polarized Doppler weather radars. J. Atmos. Oceanic Technol., 24, 1351-1363.
3. -, -, and F. Junyent, 2007: Evaluation of first generation CASA radar waveforms in the Ipl testbed. Preprints, IEEE Int. Geoscience and Remote Sensing Symp., Barcelona, Spain, Geoscience and Remote Sensing Society, 2742-2745.
4. Brewster, K. A., L. White, B. Johnson, and J. Brotzge, 2005: Selecting the sites for CASA NetRad, a collaborative radar network. Preprints, Ninth Symp. on Integrated Observign and Assimilation Systems for the Atmospheres, Oceans, and Land Surface, San Diego, CA, Amer. Meteor. Soc., P3.4.[Available online at http://ams.confex.com/ams/Annual2005/techprogram/paper-86635.htm.]
5. -, J. Brotzge, K. W. Thomas, Y. Wang, M. Xue, J. Gao, and D. Weber, 2008: High resolution assimilation of CASA and NEXRAD radar data in near-real time: Results from spring 2007 and plans for spring of 2008. Preprints, 12th Conf. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, New Orleans, LA, Amer. Meteor. Soc., 15B7. [Available online at http://ams.confex.com/ams/88Annual/techprogram/paper-132983.htm.]
6. Bringi, V. N., and V. Chandrasekar, 2001: Polarimetric Doppler Weather Radar: Principles and Applications. Cambridge University Press, 636 pp.
7. Brotzge, J., 2006: Severe weather climatology of IP1. CASA Tech. Rep, Oklahoma University Rep., 8 pp. [Available from J. Brotzge, University of Oklahoma, 120 David L. Boren Blvd., Norman, OK 73072-7309.]
8. -, and Coauthors, 2007: CASA IP1: Network operations and initial data. Preprints, 23rd Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, San Antonio, TX, Amer. Meteor. Soc. 8A.6. [Available online at http://ams.confex.com/AMS/87ANNUAL/techprogram/ paper-120056.htm.]
9. -, D. Andra, K. Hondl, and L. Lemon, 2008: A case study evaluating Distributed Collaborative Adaptive Sensing: Analysis of the 8 May 2007 minisupercell event. [Available online http://ams.confex.com/ams/88Annual/ techprogram/paper-132909.htm.]
10. -, K. Hondl, B. Philips, L. Lemon, E. Bass, D. Rude, and D. Andra Jr., 2009: Evaluation of Distributed Collaborative Adaptive Sensing for detection of low-level circulations and implications for severe weather warning operations. Wea. Forecasting, in press.
11. Chandrasekar, V., and A. P. Jayasumana, 2001: Radar design and management in a networked environment. Technologies, Protocols, and Services for Next-Generation Internet, A. Jayasumana and V. Chandrasekar, Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 4527), 125-133.
12. -, and S. Lim, 2008: Retrieval of reflectivity in a networked radar environment. J. Atmos. Oceanic Technol., 25, 1755-1767.
13. -, -, N. Bharadwaj, W. Li, D. McLaughlin, V. N. Bringi, and E. Gorgucci, 2004: Principles of networked weather radar operation at attenuating frequencies. Proc. Third European Conf. on Radar in Meteorology and Hydrology (ERAD) Visby, Sweden, Copernicus GmbH, 109-114.
14. -, D. McLaughlin, J. Brotzge, M. Zink, B. Philips, and Y. Wang, 2007: Distributed Collaborative Adaptive radar network: The CASA IP-1 network and tornado observations. Preprints, 33rd Conf. Radar Meteorology, Cairns, QLD, Australia, Amer. Meteor. Soc., 13A.3A. [Available online at http://ams.confex.com/ ams/33Radar/techprogram/paper-128257.htm.]
15. -,-,-,-,-, and-, 2008: Distributed Collaborative Adaptive Radar network: Preliminary results from the CASA IP1 testbed. Proc. IEEE Radar Conf. Rome, Italy, IEEE Aerospace and Electronics Systems Society, 1-5.
16. -, M. Maki, Y. Wang, and K. Nakane, 2009a: Considerations for urban floods monitoring using X-band dual-polarization radar network. Preprints, 23rd Conf. on Urban High Impact Weather, Phoenix, AZ, Amer. Meteor. Soc., J8.3. [Available online at http://ams.confex.com/ams/89annual/techprogram/ paper-149628.htm.]
17. -, D. Willie, Y. Wang, and S. Lim 2009b: Attenuation margin requirements in a networked radar system for observation of precipitation. IEEE Int. Geoscience and Remote Sensing Symp., Cape Town, Africa, Geoscience and Remote Sensing Society, 1-3.
18. Cheong, B., R. Palmer, C. Curtis, T. Yu, D. Zrnic, and D. Forsyth, 2008: Refractivity retrieval using the Phased-Array Radar: First results and potential for multimission operation. IEEE Trans. Geosci. Remote Sens., 46, 2527-2537.
19. Cho, Y.-G., N. Bharadwaj, V. Chandrasekar, M. Zink, F. Junyent, E. Insanić, and D. J. McLaughlin, 2005: Signal processing architecture for a single radar node in a networked radar environment (NETRAD). Proc. IEEE Int. Geoscience and Remote Sensing Symp., Seoul, South Korea, Geoscience and Remote Sensing Society, 3477-3480.
20. Department of Defense, 2005: Strategy for homeland defense and civil support. DOD Rep. 46 pp. [Available online at www.defenselink.mil/news/Jun2005/ d20050630homeland.pdf.]
21. Doviak, R. J., and D. S. Zrnic, 1993: Doppler Weather Radar Observations. 2nd ed. Dover Publications, 562 pp.
22. Gao, J., K. Brewster, Y. Wang, K. Thomas, J. Brotzge, and M. Xue, 2008: High-resolution three-dimensional wind analysis of CASA IP-1 and WSR-88D radar data using the ARPS 3DVAR. Preprints, 12th Conf. on Integrated Observing and Assimilation Systems for the Atmosphere, Ocean, and Land Surface, New Orleans, LA, Amer. Meteor. Soc., 16.5. [Available online at http://ams.confex. com/ams/88Annual/techprogram/paper-135080.htm.]
23. Insanić, E., and P. Siqueira, 2008: Use of vector estimate accuracy for improved resource allocation in a network of radars. Proc. IEEE Int. Geoscience and Remote Sensing Symp., Boston, MA, Geoscience and Remote Sensing Society, 1123-1126.
24. Junyent, F., 2007: Networked weather radar system using coherent on receive technology. Ph.D. dissertation, University of Massachusetts, 140 pp.
25. -, and V. Chandrasekar, 2009: Theory and characterization of weather radar networks. J. Atmos. Oceanic Technol, 26, 474-491.
26. -, and Coauthors, 2005: Salient features of radar nodes of the first generation NetRad System. Proc. IEEE Int. Geoscience and Remote Sensing Symp., Seoul, South Korea, Geoscience and Remote Sensing Society, 4 pp.
27. Khasgiwale, R., L. Krnan, A. Perinkulam, and R. Tessier, 2005: Reconfigurable data acquisition system for weather radar applications. Preprints, 48th Midwest Symp. on Circuits and Systems, Covington, KY, IEEE, 822-825.
28. Krainin, M., B. An, and V. Lesser, 2007: An application of automated negotiation to distributed task allocation. Proc. Int. Conf. on Intelligent Agent Technology, Silicon Valley, CA IEEE, 138-145.
29. Kurose, J., E. Lyons, D. McLaughlin, D. Pepyne, B. Philips, D. Westbrook, and M. Zink, 2006: An end-user-responsive sensor network architecture for hazardous weather detection, prediction, and response. Proc. Second Asian Internet Engineering Conf., Pathumthani, Thailand, Asian Institute of Technology, 15 pp.
30. Lakshmanan, V., T. M. Smith, G. J. Stumpf, and K. D. Hondl, 2007: The Warning Decision Support System-Integrated information. Wea. Forecasting, 22, 596-612.
31. Leone, D. A., R. M. Endlich, J. Petriceks, R. T. H. Collis, and J. R. Porter, 1989: Meteorological considerations used in planning the NEXRAD network. Bull. Amer. Meteor. Soc., 70, 4-13.
32. Li, M., T. Yan, D. Ganesan, E. Lyons, P. Shenoy, A. Venkataramani, and M. Zink, 2007: Multi-user data sharing in radar sensor networks. Proc. Fifth Int. ACM Conf. on Embedded Networked Sensor Systems, Sydney, NSW, Australia, Association for Computing Machinery, 247-260.
33. Lim, S., and V. Chandrasekar, 2005: An improved attenuation correction algorithm using dual-polarization radar observations of precipitation. Proc. IEEE Int. on Geoscience and Remote Sensing Symp., Seoul, South Korea, Geoscience and Remote Sensing Society, 5100-5103.
34. -,-, P. Lee, and A. P. Jayasumana, 2007: Reflectivity retrieval in a networked radar environment: Demonstration from the CASA IP1 radar network. Proc. IEEE Int. Geoscience and Remote Sensing Symp., Barcelona, Spain, Geoscience and Remote Sensing Society, 3065-3068.
35. Liu, Y., Y. Wang, D. Willie, V. Chandrasekar, and V. N. Bringi, 2007: Operational evaluation of the real-time attenuation correction system for CASA IP1 testbed. Preprints, 33rd Conf. on Radar Meteorology, Cairns, QLD, Australia, Amer. Meteor. Soc., P7.9. [Available online at http://ams.confex.com/ ams/33Radar/techprogram/paper-123678.htm.]
36. Maddox, R. A., J. Zhang, J. J. Gourley, and K. W. Howard, 2002: Weather radar coverage over the contiguous United States. Wea. Forecasting, 17, 927-934.
37. McLaughlin, D. J., 2008: CASA Update for NEXRAD TAC. Briefing to the NEXRAD Technical Advisory Committee, MIT Lincoln Laboratory Rep.
38. -, and Coauthors, 2005: Distributed Collaborative Adaptive Sensing (DCAS) for improved detection, understanding, and predicting of atmospheric hazards. Preprints, Ninth Symp. on Integrated Observating and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, San Diego, CA, Amer. Meteor. Soc., 11.3. [Available online at http://ams.confex.com/ams/Annual2005/ techprogram/paper-87890.htm.]
39. -, E. A. Knapp, Y. Yang, and V. Chandrasekar, 2007: Distributed weather radar using X- band active arrays. Preprints, IEEE Radar Conf., Boston, MA, IEEE Aerospace and Electronics Systems Society, 11-24.
40. Moisseev, D. N., and V. Chandrasekar, 2009: Polarimetric spectral filter for adaptive clutter and noise suppression. J. Atmos. Oceanic Technol., 26, 215-228.
41. -, C. M. Nguygen, and V. Chandrasekar, 2008: Clutter suppression for staggered PRT waveforms. J. Atmos. Oceanic Technol., 25, 2209-2218.
42. National Research Council, 1995: Toward a New Weather Service: Assessment of NEXRAD Coverage and Associated Weather Services. National Academies Press, 104 pp.
43. -, 2002: Weather Technology Beyond NEXRAD. National Academies Press, 81 pp.
44. -, 2004: Where the Weather Meets the Road: A Research Agenda for Improving Road Weather Services. National Academies Press, 174 pp.
45. -, 2008: Evaluation of the Multifunction Phased Array Radar Planning Process. National Academies Press, 79 pp.
46. -, 2009: Observing Weather and Climate from the Ground Up: A Nationwide Network of Networks. National Academies Press, 250 pp.
47. Nguyen, C. M., D. N. Moisseev, and V. Chandrasekar, 2008: A parametric time domain method for spectral moment estimation and clutter mitigation for weather radars. J. Atmos. Oceanic Technol., 25, 83-92.
48. OFCM, 2006: Federal Research and Development Needs and Priorities for Phased Array Radar. Office of the Federal Coordinator for Meteorological Services and Supporting Research Rep. FCM-R25-2006, 16 pp.
49. Pepyne, D., D. Westbrook, B. Philips, E. Lyons, M. Zink, and J. Kurose, 2008: Distributed Collaborative Adaptive Sensing networks for remote sensing applications. Proc. Amer. Control Conf., Seattle, WA, American Automatic Control Council, 4167-4172.
50. Philips, B., and Coauthors, 2007: Integrating end user needs into system design and operation: The Center for Collaborative Adaptive Sensing of the Atmosphere (CASA). Preprints, 16th Conf. on Applied Climatology, San Antonio, TX, Amer. Meteor. Soc., 3.14. [Available online at http://ams.confex. com/ams/87Annual/techprogram/paper-119996.htm.]
51. -, D. Westbrook, D. Pepyne, E. Bass, D. Rude, and J. Brotzge, 2008: User evaluations of adaptive scanning patterns in the CASA Spring Experiment 2007. IGARSS.[Available online at www.igarss08.org/Abstracts/pdfs/4027.pdf.]
52. Potvin, C. K., A. Shapiro, T.-Y. Yu, J. Gao, and M. Xue, 2009: Using a low-order model to detect and characterize tornadoes in multiple-doppler radar data. Mon. Wea. Rev., 137, 1230-1249.
53. Proud, J. L., K. Droegemeier, V. Wood, and R. Brown, 2008: Sampling strategies for tornado and mesocy-clone detection using dynamically adaptive Doppler radars: A simulated study. J. Atmos. Oceanic Technol., 26, 492-507.
54. Puzella, A., and R. Alm, 2008: Air-cooled, active transmit/receive panel array. Proc. IEEE Radar Conf., Rome, Italy, IEEE Aerospace and Electronics Systems Society.
55. Salazar, J. L., R. Medina, E. J. Knapp, and D. J. McLaughlin, 2008: Phase-tilt array antenna design for dense distributed radar network for weather sensing. IGARSS. [Available online at www.igarss08.org/Abstracts/pdfs/3728.pdf.]
56. Sarcione, M., N. Kolias, M. Booen, D. McLaughlin, F. Chang, and A. Hajimiri, 2008: Looking ahead: The future of RF technology, military and homeland perspectives. Microwave J., 51, 52-62.
57. Schenkman, A., A. Shapiro, K. Brewster, M. Xue, J. Gao, and N. Snook, 2008: High resolution assimilation of CASA radar data from a tornadic convective system. Preprints, Symp. on Recent Developments in Atmospheric Applications of Radar and Lidar, New Orleans, LA, Amer. Meteor. Soc., P1.6. [Available online at http://ams.confex.com/ams/88Annual/techprogram/paper-132040.htm.]
58. Serafin, R. J., and J. W. Wilson, 2000: Operational weather radar in the United States: Progress and opportunity. Bull. Amer. Meteor. Soc., 81, 809-824.
59. Siggia, A., 1983: Processing phase-coded radar signals with adaptive digital filters. Preprints, 21st Conf. on Radar Meteorology, Edmonton, AB, Canada, Amer. Meteor. Soc., 513-518.
60. -, and J. R. Passarelli Jr., 2004: Gaussian model adaptive processing (GMAP) for improved ground clutter cancellation and moment calculation. Proc. Third European Conf. on Radar in Meteorology and Hydrology, Visby, Sweden, Copernicus GmBH, 67-73.
61. Tabary, P., J. Parent-du-Châtelet, M. Franco, R. Cremonini, C. Ciotti, and G. Vulpiani, 2008: Overview of the weather radar networks and products in the "north-western" Mediiterranean region (Spain, France and Italy). [Available online at www. hymex.org/global/documents/June2008-work- shop/0406-ST2-1-P.-Tabary.pdf.]
62. Torres, S., and C. Curtis, 2006: Design considerations for improved tornado detection using super-resolution data on the NEXRAD network. Proc. Fourth European Conf. on Radar in Meteorology and Hydrology, Barcelona, Spain, Servei Meteorològic de Catalunya.
63. Wang, Y., V. Chandrasekar, and B. Dolan, 2008: Development of scan strategy for dual Doppler retrieval in a networked radar system. IGARSS. [Available online at www.igarss08.org/abstracts/pdfs/3999.pdf.]
64. Westrick, K. J., C. F. Mass, and B. A. Colle, 1999: The limitations of the WSR-88D radar network for quantitative precipitation measurement over the costal western United States. Bull. Amer. Meteor. Soc., 80, 2289-2209.
65. Willie, D., W. Li, Y. Wang, and V. Chandrasekar, 2006: Attenuation statistics for X-band radar design. Proc. IEEE Int. Geosciences and Remote Sensing Symp., Denver, CO, Geosciences and Remote Sensing Society, 5077-5080.
66. Zink, M., E. Lyons, D. Westbrook, D. Pepyne, B. Philips, J. Kurose, and V. Chandrasekar, 2008a: Meteorological command & control: Architecture and performance evaluation. IGARSS. [Available online at www.igarss08.org/Abstracts/ pdfs/3976.pdf.]
67. -, -, -, J. Kurose, and D. Pepyne, 2008b: Closed-loop Architecture for Distributed Collaborative Adaptive Sensing of the Atmosphere: Meteorological Command & Control. Int. J. Sens. Networks, in press.