top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
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  
Stevenage : , : Institution of Engineering & Technology, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Stevenage : , : Institution of Engineering & Technology, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
London : , : Institution of Electrical Engineers, , 1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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.  
[Boulder, CO] : , : U.S. Department of Commerce, National Telecommunications and Information Administration, , [2012]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
[Boulder, CO] : , : U.S. Dept. of Commerce, National Telecommunications and Information Administration, , [2010]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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.  
[Boulder, CO] : , : U.S. Department of Commerce, National Telecommunications and Information Administration, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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-]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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->  
Washington, D.C. : , : Office of Aerospace Medicine, Federal Aviation Administration
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui

Opere

Altro...

Lingua di pubblicazione

Altro...

Data

Data di pubblicazione

Altro...