Advances in Weather Radar : Precipitation Sensing Platforms, Volume 1
| Advances in Weather Radar : Precipitation Sensing Platforms, Volume 1 |
| Autore | Bringi V. N |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Stevenage : , : Institution of Engineering & Technology, , 2024 |
| Descrizione fisica | 1 online resource (684 pages) |
| Altri autori (Persone) |
MishraKumar Vijay
ThuraiMerhala |
| Collana | Radar, Sonar and Navigation Series |
| Soggetto topico |
Radar meteorology
Precipitation (Meteorology) |
| ISBN |
1-83724-458-8
1-5231-6298-8 1-83953-623-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents -- About the editors -- Preface -- Acknowledgments -- List of editors -- List of contributors -- List of reviewers -- Introduction to volume 1 -- 1. The decade of renaissance in weather radar research | Kumar Vijay Mishra, Merhala Thurai and V.N. Bringi -- 2. Doppler polarimetric radars for weather observations from 1995 to 2022: a historical perspective | Alexander V. Ryzhkov, Merhala Thurai and Dusan S. Zrnic -- 3. Developments in solid-state weather radar | Stephen J. Frasier and Luca Facheris -- 4. Quality of polarimetric data in the WSR-88D system | Valery M. Melnikov and Dusan S. Zrnic -- 5. Improvement of GPM dual-frequency precipitation radar algorithms for Version 07 | Shinta Seto -- 6. The NASA Polarimetric (NPOL) weather radar facility and some applications | David B. Wolff, David A. Marks, Charanjit S. Pabla, Jason L. Pippitt, Ali Tokay, Jianxin Wang and Michael Watson -- 7. NASA high altitude airborne weather radars | Gerald M. Heymsfield, Lihua Li, Matthew L. Walker McLinden, Liang Liao, Charles N. Helms and Stephen Guimond -- 8. Ocean-going weather and profiling radar for clouds and precipitation | P.T. May, B. Dolan, M. Katsumata, P.A. Kucera, V. Louf, A. Protat and C.R. Williams -- 9. A versatile stratosphere–troposphere radar at 205 MHz in the tropics | K. Mohanakumar, Titu K. Samson, P. Mohanan, K. Vasudevan, K.R. Santosh, V.K. Anandan, G. Viswanathan and B.M. Reddy -- 10. An integrated future US weather radar architecture for aviation | Mark E. Weber, John Y.N. Cho, Henry G. Thomas and James M. Kurdzo -- 11. The mitigation of ground clutter | J.C. Hubbert, S. Ellis and G. Meymaris -- 12. Polarimetric planar phased array radar – challenges for observing weather | Dusan S. Zrnic, Igor I. Ivic, Dordje Mirkovic, Lesya Borowska and Guifu Zhang |
| Record Nr. | UNINA-9911007183503321 |
Bringi V. N
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| Stevenage : , : Institution of Engineering & Technology, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Weather Radar : Precipitation Science, Scattering and Processing Algorithms, Volume 2
| Advances in Weather Radar : Precipitation Science, Scattering and Processing Algorithms, Volume 2 |
| Autore | Bringi V. N |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Stevenage : , : Institution of Engineering & Technology, , 2024 |
| Descrizione fisica | 1 online resource (692 pages) |
| Altri autori (Persone) |
MishraKumar Vijay
ThuraiMerhala |
| Collana | Radar, Sonar and Navigation Series |
| Soggetto topico |
Radar meteorology
Precipitation (Meteorology) |
| ISBN |
1-83724-459-6
1-5231-6299-6 1-83953-625-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Title -- Copyright -- Contents -- About the editors -- Preface -- Acknowledgments -- List of editors -- List of contributors -- List of reviewers -- Introduction to volume 2 -- 1 Phased array weather radar developed in Japan -- 1.1 Overview of ground-based PAWR -- 1.1.1 PAWR -- 1.1.2 MP-PAWR -- 1.2 Calibration of MP-PAWR -- 1.3 Quantitative precipitation estimation by PAWR -- 1.3.1 Observation -- 1.3.2 Comparison with rain gauge measurement -- 1.3.3 Ground clutter issue -- 1.4 Applications of MP-PAWR and PAWR -- 1.4.1 Life cycle of short-lived convective cloud -- 1.4.2 Direct comparison with optical observation -- 1.4.3 Application of VAD method and continuous vertical pointing observation -- 1.4.4 Precipitation system that exists above freezing level (use of VAD method and vertical pointing data) -- 1.4.5 3D structure of misoscale vortex -- 1.5 Summary -- References -- 2 Weather radar data calibration and monitoring -- 2.1 Introduction -- 2.1.1 Calibration and monitoring -- 2.1.2 Calibration levels and scales -- 2.1.3 Typical radar system -- 2.1.4 Calibration families -- 2.2 Measurement of radar moments -- 2.2.1 Weather radar equation -- 2.2.2 Polarimetric moments -- 2.2.3 Doppler moments -- 2.3 Methods -- 2.3.1 Internal calibration -- 2.3.2 External sources -- 2.3.3 External sink -- 2.3.4 External artificial targets -- 2.3.5 Weather targets -- 2.4 Recommendations and outlook to future developments -- References -- 3 Scattering by snow particles -- 3.1 Introduction -- 3.2 Ice particle models -- 3.3 Scattering of electromagnetic waves -- 3.4 The volume integral equation -- 3.4.1 Far-field scattering -- 3.5 Scattering methods involving volume discretization -- 3.5.1 Discrete dipole approximation -- 3.5.2 Rayleigh-Gans approximation -- 3.5.3 Self-similar Rayleigh-Gans approximation -- 3.5.4 Independent monomer approximation.
3.5.5 Method of moments -- 3.6 Single-scattering properties databases at microwave and sub-millimeter wavelengths -- 3.6.1 Single-scattering properties of ice hydrometeors -- 3.6.2 Status of current single-scattering properties databases -- References -- 4 Radar and hail: advances in scattering, detection, and sizing -- 4.1 Motivation-why hail? -- 4.2 A primer on hail and hailstorms -- 4.3 Two paradigms for radar-based hail detection and sizing: problems and possibilities -- 4.3.1 Paradigm 1: direct detection and sizing of hailstones -- 4.3.2 Paradigm 2: storm structural proxies for hail -- 4.4 Summary and concluding thoughts -- References -- 5 Understanding the role of rain drop shapes and fall velocities in rainfall estimation from polarimetric weather radars -- 5.1 Introduction -- 5.2 Drop shapes and fall velocities: an overview of previous work -- 5.2.1 Drop shapes -- 5.2.2 Fall speeds -- 5.2.3 Drop shapes and velocities from 2DVD -- 5.3 Scattering calculation for individual drops -- 5.3.1 Review of scattering calculation methods -- 5.3.2 Usability of commercial electromagnetic field solver software -- 5.3.3 Automatization of scattering calculations -- 5.3.4 Accuracy considerations -- 5.3.5 Determination of the RCS of raindrops via artificial neural networks -- 5.4 Example events -- 5.4.1 Outer bands of tropical depression Nate over Alabama -- 5.4.2 Embedded line convection over Alabama -- 5.4.3 Outer bands of category-1 Hurricane Irma over Alabama -- 5.4.4 A widespread event with embedded convective rain cells -- 5.4.5 Outer rain-bands of category-1 Hurricane Dorian -- 5.4.6 Tropical storm Michael over Delmarva peninsula -- 5.5 Summary -- Acknowledgment -- References -- 6 The raindrop size distribution - the unknown that holds everything together -- 6.1 Introduction -- 6.2 The DSD and its statistical moments -- 6.2.1 State variables. 6.2.2 Flux variables -- 6.2.3 Characteristic sizes -- 6.3 Parametric DSD models -- 6.3.1 Inventory of common DSD models -- 6.4 Normalized DSD models -- 6.4.1 Particular cases in DSD normalization -- 6.5 DSDs and weather radar -- 6.5.1 Radar variables -- 6.5.2 Rain rate retrieval from radar -- 6.5.3 DSD retrieval from radar -- 6.6 DSDs in numerical weather prediction models -- 6.7 Conclusions and future directions -- References -- 7 Fusion of radar polarimetry and atmospheric modeling -- 7.1 Introduction -- 7.2 Evaluation methodology, data, and tools -- 7.2.1 A dual strategy for model evaluation -- 7.2.2 Polarimetric C-band and X-band radar observations in Germany -- 7.2.3 The numerical weather prediction models COSMO and ICON-LAM -- 7.2.4 The polarimetric radar operators EMVORADO and B-PRO -- 7.2.5 The Shannon entropy to categorize stratiform and convective events -- 7.2.6 Combined observed and synthetic data at X band and C band -- 7.3 Exploitation of microphysical retrievals for model evaluation and improvement -- 7.3.1 Quantitative precipitation estimation for the July 2021 Ahrtal flooding in western Germany -- 7.3.2 Quasi-vertical profiles of ice microphysical retrievals -- 7.3.3 Hydrometeor classification and quantification schemes -- 7.4 Evaluation in radar observation space -- 7.4.1 Converging modeled and observed quasi-vertical profiles -- 7.4.2 Statistics of observed and modeled polarimetric variables -- 7.4.3 Process signatures and dynamics in convection -- 7.5 (Polarimetric) radar data assimilation -- 7.5.1 The assimilation of 3D reflectivities and radial winds -- 7.5.2 The assimilation of 3D polarimetry-derived liquid and ice-water content -- 7.5.3 The assimilation of object information -- 7.6 Summary and conclusions -- Acknowledgments -- References -- 8 End-to-end simulations of dual-polarization tornado debris signatures. 8.1 Background and importance of dual-polarization radar signatures of tornadoes -- 8.1.1 Overview of dual-polarization radar variables and their application to meteorological echoes and debris -- 8.1.2 Significance of TDSs in operational forecasting -- 8.1.3 Determining the structure of tornadoes and their debris fields -- 8.1.4 Challenges to understanding dual-polarization tornado debris signatures -- 8.2 Theory of dual-polarization weather radar simulation -- 8.3 A time-series dual-polarization radar simulator for tornado debris -- 8.3.1 Radar simulator inputs -- 8.3.2 Radar simulator implementation -- 8.4 Radar simulations of tornado debris signatures -- 8.4.1 Electromagnetic representation of debris scatterers -- 8.4.2 TDSs and varied debris characteristics -- 8.4.3 Relationship between TDSs and tornado wind characteristics -- 8.5 Conclusions -- Acknowledgments -- References -- 9 Satellite combined radar-radiometer algorithms -- 9.1 Introduction -- 9.2 Fundamental models and methods -- 9.2.1 Precipitation particles and their electromagnetic properties -- 9.2.2 Radar and radiometer models -- 9.2.3 Elements of optimal estimation theory -- 9.2.4 Additional matters -- 9.3 GPM combined observations and retrievals -- 9.3.1 Observations -- 9.3.2 Machine learning-based evaluation -- 9.3.3 Combined estimates -- 9.4 Summary and conclusions -- References -- 10 Weather radar measurements in Antarctica -- 10.1 About Antarctica -- 10.2 The challenge of measuring clouds and precipitation in Antarctica -- 10.2.1 Ground-based measurements -- 10.2.2 The added value of CloudSat -- 10.3 Ground-based weather radars -- 10.3.1 Added value of ground-based weather radars -- 10.3.2 Deployment challenges -- 10.3.3 Milestone campaigns -- 10.4 Contribution to Antarctic meteorology -- 10.4.1 Quantitative precipitation studies -- 10.4.2 Local-scale precipitation processes. 10.4.3 Large-scale interactions -- 10.4.4 Comparison with satellites -- 10.5 Concluding remarks and perspectives -- Funding and acknowledgment -- References -- 11 Radar advances related to severe weather -- 11.1 Radars are amazing tools to observe severe weather -- 11.2 But, traditional radars and networks cannot answer some of the most critical research questions -- 11.2.1 Radars usually scan too slowly: many hazardous, high-impact, difficult to forecast phenomena evolve very quickly -- 11.2.2 Radar distributions are too coarse: many of the most impactful weather phenomena are small and too far away -- 11.2.3 Radars cannot scan near the ground -- 11.2.4 Radars do not measure vector wind fields -- 11.2.5 Temporary stationary high-density multiple-radar networks: a limited solution for research -- 11.3 How to address these limitations -- 11.3.1 Easily carriable/deployable small radars -- 11.3.2 Radars on airplanes -- 11.3.3 Denser arrays of small radars -- 11.4 Invention of the Doppler On Wheels (DOWs) -- 11.5 Severe and high-impact weather observations with mobile DOWs -- 11.5.1 Tornadoes -- 11.5.2 Hurricanes -- 11.5.3 Other severe and high-impact weather -- 11.6 Mobile multiple-Doppler -- 11.7 Dual-polarization observations of severe storms -- 11.8 Other groups make "DOWs," leading to new paradigm for mesoscale weather studies -- 11.9 Time/space → rapid-scan -- 11.10 A different compromise: the C-band On Wheels (COW) -- 11.11 The modern paradigm: mobile radar combined with mobile in situ observations -- 11.11.1 Fortuitous dual-Doppler tornado data -- 11.12 Where do we go from here? -- 11.12.1 Operational phased array and dense radar networks -- 11.12.2 Bistatic radar networks -- 11.12.3 Adaptable/quickly deployable almost-mobile radars may replace stationary research radars -- 11.12.4 Airborne Phased Array Radar (APAR). 11.12.5 Speculative technologies and "fishing". |
| Record Nr. | UNINA-9911007170803321 |
Bringi V. N
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| Stevenage : , : Institution of Engineering & Technology, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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Aviation weather surveillance systems : advanced radar and surface sensors for flight safety and air traffic management / / Pravas Mahapatra ; with contributions from Richard J. Doviak, Vladislav Mazur, Dusan S. Zrnič
| Aviation weather surveillance systems : advanced radar and surface sensors for flight safety and air traffic management / / Pravas Mahapatra ; with contributions from Richard J. Doviak, Vladislav Mazur, Dusan S. Zrnič |
| Autore | Mahapatra Pravas |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | London : , : Institution of Electrical Engineers, , 1999 |
| Descrizione fisica | 1 online resource (481 p.) |
| Disciplina | 629.132/4 |
| Altri autori (Persone) |
MazurVladislav
ZrnićDušan S DoviakR. J |
| Collana |
IEE radar, sonar, navigation, and avionics series Aviation weather surveillance systems
IEE radar, sonar, navigation, and avionics series |
| Soggetto topico |
Meteorology in aeronautics
Radar meteorology Aeronautics - Safety measures |
| ISBN |
1-84919-180-8
1-59124-895-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-title -- Title -- Copyright -- Dedication -- Contents -- Preface -- Acknowledgments -- Abbreviations -- Symbols -- 1 Introduction -- 1.1 Aviation and electronics: a symbiotic relationship -- 1.2 Phases in evolution of aircraft navigation -- 1.3 Modern aviation weather surveillance -- 1.4 Scope and organisation of the book -- 1.5 References -- 2 Basic background of aviation -- 2.1 Goal of aviation systems -- 2.2 Phases of aircraft flight -- 2.2.1 Terminal area operations -- 2.2.2 En route operations -- 2.3 Mechanics of aircraft flight -- 2.4 Aircraft navigation systems -- 2.4.1 En route navigation: dead-reckoning systems -- 2.4.2 En route navigation: position fixing systems -- 2.4.3 Aircraft landing guidance systems -- 2.5 Air traffic control and air traffic services -- 2.6 Radars in aircraft navigation and air traffic control -- 2.7 Aeronautical communication systems -- 2.8 Summary -- 2.9 References -- 3 Atmospheric effects on aviation -- 3.1 Weather as a factor in aviation -- 3.2 Overall effects of weather on aviation -- 3.2.1 Safety -- 3.2.2 Comfort -- 3.2.3 Schedule-keeping -- 3.2.4 Efficiency -- 3.2.5 Economy -- 3.2.6 Combination of factors -- 3.3 Atmospheric phenomena involving air motion -- 3.3.1 Wind shear -- 3.3.2 Turbulence -- 3.4 Hydrometeorological phenomena -- 3.4.1 Rain -- 3.4.2 Snow -- 3.4.3 Hail -- 3.5 Aircraft icing -- 3.6 Low visibility -- 3.7 Atmospheric electrical phenomena -- 3.8 Need for improved aviation weather information -- 3.9 Summary -- 3.10 References -- 4 Origins of harmful atmospheric effects on aircraft -- 4.1 General -- 4.2 Structure of atmosphere -- 4.3 Thunderstorms: nature, initiation and evolution -- 4.4 Thunderstorm parameters -- 4.5 Phenomena associated with thunderstorms -- 4.5.1 Divergence and convergence -- 4.5.2 Turbulence -- 4.5.3 Downburst -- 4.5.4 Cyclonic motion and tornadoes.
4.5.5 Rain -- 4.5.6 Hail -- 4.5.7 Lightning, electric fields and atmospherics -- 4.5.8 Icing -- 4.5.9 Poor visibility -- 4.5.10 Overall thunderstorm scenario -- 4.6 Gust fronts and related phenomena -- 4.6.1 Characteristics -- 4.6.2 Outflow-induced waves and bores -- 4.7 Macrobursts and microbursts -- 4.7.1 Microburst types -- 4.7.2 Characteristics -- 4.7.3 Asymmetry -- 4.8 Other sources of atmospheric hazard -- 4.9 Summary -- 4.10 References -- 5 Requirements of systems for aviation weather surveillance -- 5.1 General -- 5.2 Types of weather surveillance systems for aviation -- 5.2.1 In situ and remote sensing -- 5.2.2 Ground-based, airborne and spaceborne sensors -- 5.3 Spatial coverage -- 5.4 Data update rates -- 5.5 Spatial resolution -- 5.6 Data processing and display systems -- 5.6.1 Stages in data processing -- 5.6.2 Display of aviation weather data -- 5.6.3 Requirements of data processing and display systems -- 5.7 Automated operation -- 5.8 Selection of primary sensors -- 5.8.1 Atmospheric parameters monitored for aviation -- 5.8.2 Primary sensors for modern aviation weather surveillance -- 5.9 Summary -- 5.10 References -- 6 Doppler weather radar as a primary aviation weather sensor -- 6.1 General -- 6.2 Basic aspects -- 6.2.1 Weather radar resolution -- 6.2.2 Mapping of weather fields -- 6.2.3 Scattering by raindrops and radar reflectivity of weather -- 6.2.4 Radar echoes from clear air -- 6.2.5 Weather attenuation of radar signals -- 6.2.6 Operating frequencies of weather radars -- 6.3 Conventional weather radar -- 6.3.1 Reflectivity measurement: radar range equation -- 6.3.2 Estimation of rain rates -- 6.3.3 WSR-57 radar -- 6.4 Motivation for developing modern weather sensors -- 6.5 Doppler weather radar: basics -- 6.5.1 Basic principle and limitation -- 6.5.2 Atmospheric wind tracers -- 6.6 Doppler weather radar: primary data products. 6.6.1 Spectral moments of weather echo signals -- 6.6.2 Doppler weather radar system features and architecture -- 6.6.3 Computation of basic data products -- 6.6.3.1 Reflectivity -- 6.6.3.2 Mean radial velocity -- 6.6.3.3 Doppler velocity spectrum width -- 6.6.3.4 Some general aspects of Doppler moment estimation -- 6.6.4 Display of basic products -- 6.6.5 Derivation of vector wind fields -- 6.7 Summary -- 6.8 References -- Colour plates -- 7 Modern Doppler weather radars for aviation -- 7.1 General -- 7.2 WSR-88D system -- 7.2.1 Architecture -- 7.2.2 Parameters -- 7.2.3 System features -- 7.2.4 Dataproducts -- 7.2.5 Performance -- 7.3 Range and velocity ambiguities -- 7.3.1 Nature of problem -- 7.3.2 Minimisation of range overlays -- 7.3.2.1 Low elevation angles -- 7.3.2.2 Middle elevation angles -- 7.3.2.3 High elevation angles -- 7.3.3 Velocity dealiasing -- 7.3.4 Advanced ambiguity resolution methods -- 7.3.5 Potential and futuristic methods -- 7.3.5.1 Spectral decomposition -- 7.3.5.2 Triple-PRF radar observation -- 7.3.5.3 Staggered PRT scheme -- 7.3.5.4 Random phase transmission -- 7.3.5.5 Systematic discrete phase coding -- 7.3.5.6 Single-pulse Doppler estimation -- 7.4 Other special considerations -- 7.4.1 Coverage -- 7.4.2 Siting for terminal area surveillance -- 7.4.2.1 Resolution -- 7.4.2.2 Range coverage -- 7.4.2.3 Low-altitude coverage -- 7.4.2.4 Zone of blindness -- 7.4.2.5 Range ambiguity and overlaid echoes -- 7.4.2.6 Airport configuration -- 7.4.2.7 Comparison of siting alternatives -- 7.4.3 Scanning strategies and modes -- 7.4.4 Data lag -- 7.4.5 Comparison with air route surveillance radar -- 7.5 Terminal Doppler weather radar (TDWR) -- 7.6 Airport surveillance radar with weather channel -- 7.7 Summary -- 7.8 References -- 8 Other sensors and systems for aviation weather -- 8.1 General -- 8.2 Wind profilers. 8.2.1 Conventional wind profiling -- 8.2.2 Radar wind profilers -- 8.3 Radio-acoustic sounding systems (RASS) -- 8.3.1 Basic system -- 8.3.2 RASS augmentation for sensing aircraft icing conditions -- 8.4 Low-level wind shear alert system (LLWAS) -- 8.4.1 Concept and basic configuration -- 8.4.2 Enhanced system -- 8.5 Airborne wind shear detection -- 8.5.1 In situ sensing -- 8.5.2 Forward-looking remote sensing -- 8.6 Airborne turbulence measurement -- 8.7 Automated weather observing systems -- 8.8 Radiometric satellite observation -- 8.9 Airport visibility measurement -- 8.10 Summary -- 8.11 References -- 9 Integrated system approaches -- 9.1 General -- 9.2 Integrated terminal weather system -- 9.2.1 Data integration -- 9.2.2 Automated operation and fully processed output -- 9.2.3 Performance enhancement, versatility and adaptability -- 9.2.4 Predictive capability -- 9.3 Aviation gridded forecast system -- 9.4 Aviation weather products generator -- 9.5 Summary -- 9.6 References -- 10 Automatic detection and tracking of hazardous weather features -- 10.1 General -- 10.2 Basis of automated weather feature detection -- 10.3 Thunderstorm cells -- 10.4 Mesocyclones -- 10.5 Gust fronts -- 10.6 Storm outflows and microbursts -- 10.7 Summary -- 10.8 References -- 11 Atmospheric turbulence and its detection by radar -- 11.1 General -- 11.2 Wind shear and turbulence in meteorological events -- 11.2.1 Thunderstorms -- 11.2.2 Thermal plumes -- 11.2.3 K-H waves -- 11.3 Detection of turbulence with Doppler radar -- 11.4 Statistical theory of turbulence -- 11.4.1 Correlation and spectral functions in the inertial subrange -- 11.4.2 Filtering by the radar's weighting function -- 11.4.3 Variance of point and average velocities -- 11.5 Doppler spectrum width and eddy dissipation rate -- 11.6 Eddy dissipation rates in thunderstorms -- 11.7 Avoiding turbulence. 11.8 Summary -- 11.9 References -- 12 Lightning and aviation -- 12.1 General -- 12.2 Lightning, electric fields and atmospherics -- 12.3 Lightning-aircraft interaction -- 12.4 Weather conditions and lightning strikes to aircraft -- 12.5 Detection and surveillance of lightning phenomena -- 12.6 Lightning threats to aircraft: what else do we need to know? -- 12.7 Summary -- 12.8 References -- 13 Polarisation diversity radars -- 13.1 General -- 13.2 Description -- 13.3 Basic definitions -- 13.4 Propagation effects -- 13.5 Rainfall measurement -- 13.6 Hail detection -- 13.7 Automatic classification and quantification of precipitation -- 13.8 Status and prospects for aviation use -- 13.9 Summary -- 13.10 References -- Index -- BackCover. |
| Record Nr. | UNINA-9911004808003321 |
Mahapatra Pravas
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| London : , : Institution of Electrical Engineers, , 1999 | ||
| Lo trovi qui: Univ. Federico II | ||
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Case study : investigation of interference into 5 GHZ weather radars from unlicensed national information infrastructure devices, part 3 / / John E. Carroll ... [and others]
| Case study : investigation of interference into 5 GHZ weather radars from unlicensed national information infrastructure devices, part 3 / / John E. Carroll ... [and others] |
| Autore | Carroll John E. |
| Pubbl/distr/stampa | [Boulder, CO] : , : U.S. Department of Commerce, National Telecommunications and Information Administration, , [2012] |
| Descrizione fisica | 1 online resource (x, 32 pages) : color illustrations |
| Collana | NTIA Report |
| Soggetto topico |
Radar meteorology
Radar - Interference - United States Cyberinfrastructure - United States |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Case study |
| Record Nr. | UNINA-9910702204203321 |
Carroll John E.
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| [Boulder, CO] : , : U.S. Department of Commerce, National Telecommunications and Information Administration, , [2012] | ||
| Lo trovi qui: Univ. Federico II | ||
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Case study : investigation of interference into 5 GHZ weather radars from unlicensed national information infrastructure devices, Part 1 / / John E. Carroll [and others]
| Case study : investigation of interference into 5 GHZ weather radars from unlicensed national information infrastructure devices, Part 1 / / John E. Carroll [and others] |
| Autore | Carroll John E |
| Pubbl/distr/stampa | [Boulder, CO] : , : U.S. Dept. of Commerce, National Telecommunications and Information Administration, , [2010] |
| Descrizione fisica | 1 online resource (ix, 27 pages) : color illustrations, color map |
| Collana | NTIA Technical Report |
| Soggetto topico |
Radar meteorology
Radar - Interference - United States Cyberinfrastructure - United States Cyberinfrastructure Radar - Interference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Case study |
| Record Nr. | UNINA-9910699908503321 |
Carroll John E
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| [Boulder, CO] : , : U.S. Dept. of Commerce, National Telecommunications and Information Administration, , [2010] | ||
| Lo trovi qui: Univ. Federico II | ||
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Case study: investigation of interference into 5 GHZ weather radars from unlicensed national information infrastructure devices, Part 2 / / John E. Carroll [and three others]
| Case study: investigation of interference into 5 GHZ weather radars from unlicensed national information infrastructure devices, Part 2 / / John E. Carroll [and three others] |
| Autore | Carroll John E. |
| Pubbl/distr/stampa | [Boulder, CO] : , : U.S. Department of Commerce, National Telecommunications and Information Administration, , 2011 |
| Descrizione fisica | 1 online resource (x, 28 pages) : color illustrations, color maps |
| Collana | NTIA technical report |
| Soggetto topico |
Radar meteorology
Radar - Interference - United States Cyberinfrastructure - United States Cyberinfrastructure Radar - Interference |
| Soggetto genere / forma | Online resources. |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Case study |
| Record Nr. | UNINA-9910711576103321 |
Carroll John E.
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| [Boulder, CO] : , : U.S. Department of Commerce, National Telecommunications and Information Administration, , 2011 | ||
| Lo trovi qui: Univ. Federico II | ||
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Doppler radar meteorological observations . Part A System concepts, responsibilities, and procedures [[electronic resource]]
| Doppler radar meteorological observations . Part A System concepts, responsibilities, and procedures [[electronic resource]] |
| Pubbl/distr/stampa | Washington, DC, : Federal Coordinator for Meteorological Services and Supporting Research, [2004-] |
| Collana | Federal meteorological handbook |
| Soggetto topico |
Doppler radar
Radar meteorology |
| Soggetto genere / forma | Handbooks and manuals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910693085603321 |
| Washington, DC, : Federal Coordinator for Meteorological Services and Supporting Research, [2004-] | ||
| Lo trovi qui: Univ. Federico II | ||
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The effects of NEXRAD graphical data resolution and direct weather viewing on pilots' judgments of weather severity and their willingness to continue a flight [[electronic resource] /] / Dennis B. Beringer, Jerry D. Ball
| The effects of NEXRAD graphical data resolution and direct weather viewing on pilots' judgments of weather severity and their willingness to continue a flight [[electronic resource] /] / Dennis B. Beringer, Jerry D. Ball |
| Autore | Beringer Dennis B (Dennis Bruce), <1950-> |
| Pubbl/distr/stampa | Washington, D.C. : , : Office of Aerospace Medicine, Federal Aviation Administration |
| Descrizione fisica | iii, 8, 2 pages : digital, PDF file |
| Altri autori (Persone) | BallJerry D |
| Soggetto topico |
Radar meteorology
Air pilots - Psychology Risk assessment |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910694636303321 |
Beringer Dennis B (Dennis Bruce), <1950->
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| Washington, D.C. : , : Office of Aerospace Medicine, Federal Aviation Administration | ||
| Lo trovi qui: Univ. Federico II | ||
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Enhancing access to NEXRAD data, a critical national resource [[electronic resource] ] : a brief report / / from the Global Energy and Water Cycle Experiment (GEWEX) Panel, Climate Research Committee, Board on Atmospheric Sciences and Climate, Commission on Geosciences, Environment, and Resources, National Research Council
| Enhancing access to NEXRAD data, a critical national resource [[electronic resource] ] : a brief report / / from the Global Energy and Water Cycle Experiment (GEWEX) Panel, Climate Research Committee, Board on Atmospheric Sciences and Climate, Commission on Geosciences, Environment, and Resources, National Research Council |
| Pubbl/distr/stampa | Washington, D.C., : National Academy Press, c1999 |
| Descrizione fisica | 1 online resource (26 p.) |
| Disciplina | 551.63/53 |
| Collana | The compass series |
| Soggetto topico |
Weather radar networks - United States
Radar meteorology Meteorological stations, Radar - United States Meteorological services - United States |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-18576-7
9786610185764 0-309-59367-0 0-585-19800-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910456150003321 |
| Washington, D.C., : National Academy Press, c1999 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Enhancing access to NEXRAD data, a critical national resource [[electronic resource] ] : a brief report / / from the Global Energy and Water Cycle Experiment (GEWEX) Panel, Climate Research Committee, Board on Atmospheric Sciences and Climate, Commission on Geosciences, Environment, and Resources, National Research Council
| Enhancing access to NEXRAD data, a critical national resource [[electronic resource] ] : a brief report / / from the Global Energy and Water Cycle Experiment (GEWEX) Panel, Climate Research Committee, Board on Atmospheric Sciences and Climate, Commission on Geosciences, Environment, and Resources, National Research Council |
| Pubbl/distr/stampa | Washington, D.C., : National Academy Press, c1999 |
| Descrizione fisica | 1 online resource (26 p.) |
| Disciplina | 551.63/53 |
| Collana | The compass series |
| Soggetto topico |
Weather radar networks - United States
Radar meteorology Meteorological stations, Radar - United States Meteorological services - United States |
| ISBN |
0-309-18460-6
1-280-18576-7 9786610185764 0-309-59367-0 0-585-19800-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910778741503321 |
| Washington, D.C., : National Academy Press, c1999 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||