Identify the most destructive lightning strikes. Continuing Current Dataset Fewer than 10% of lightning strokes have continuing current, and are likely to cause extreme heat damage or start a fire. The Continuing Current Dataset is designed for the identification and location of lightning events like these which are likely to have caused damage through heating so you can more effectively prioritize inspections and prevent further damage. Contact us for more information Vaisala's Continuing current Dataset has been developed to identify the small fraction of cloud-to-ground lightning strikes with continuing current; they are the events that can be the most destructive and are most likely to initiate wildfires, put holes in wind turbine blades and damage other electro-mechanical assets. The majority of these destructive events cause extreme heating, having a duration up to 1000 times longer than the other 90% of strokes, as they transfer significantly more electric charge to whatever they are in contact with. When your operations get hit by a thousand lightning strikes in a single storm-event, identifying these lightning strikes provides valuable information for preventing further damage. For more information on these products, please fill out and submit the form and we will be in touch. 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See our Privacy Policy for more details. You can modify your preference settings or unsubscribe at any time here How do we Identify the Most Destructive Lightning Strikes Vaisala’s NLDN and GLD360 lightning networks accurately distinguish cloud-to-ground lightning strokes from cloud lightning and precisely identify their location, by analysis of the electromagnetic signal. Key Benefits: Faster identification and more effective inspection of likely damaged areas or areas in which a fire might have started Warning alerts that infrastructure is likely to have been seriously damaged. Early intervention to prevent progressive damage Cost reduction by prioritizing post-storm inspections of assets and infrastructure likely to have been damaged.
Continuing Current Dataset Fewer than 10% of lightning strokes have continuing current, and are likely to cause extreme heat damage or start a fire. The Continuing Current Dataset is designed for the identification and location of lightning events like these which are likely to have caused damage through heating so you can more effectively prioritize inspections and prevent further damage.
Contact us for more information Vaisala's Continuing current Dataset has been developed to identify the small fraction of cloud-to-ground lightning strikes with continuing current; they are the events that can be the most destructive and are most likely to initiate wildfires, put holes in wind turbine blades and damage other electro-mechanical assets. The majority of these destructive events cause extreme heating, having a duration up to 1000 times longer than the other 90% of strokes, as they transfer significantly more electric charge to whatever they are in contact with. When your operations get hit by a thousand lightning strikes in a single storm-event, identifying these lightning strikes provides valuable information for preventing further damage. For more information on these products, please fill out and submit the form and we will be in touch. Email Address*First Name*Last Name*Company*Country*--Please Select--United StatesUnited KingdomCanadaChinaIndiaJapanAustraliaBrazilFranceGermanyFinland--------------AfghanistanÅland IslandsAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBrit/Indian Ocean Terr.Brunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos (Keeling) IslandsColombiaComorosCongoCongo, The Dem. Republic OfCook IslandsCosta RicaCôte D'IvoireCroatiaCubaCyprusCzech RepublicDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern Terr.GabonGambiaGeorgiaGermanyGhanaGibraltarUnited KingdomGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuineaGuinea-BissauGuyanaHaitiHeard/McDonald Isls.HondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKiribatiKorea (North)Korea (South)KuwaitKyrgyzstanLaosLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacauMacedoniaMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarN. Mariana Isls.NamibiaNauruNepalNetherlandsNetherlands AntillesNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorwayOmanPakistanPalauPalestinian Territory, OccupiedPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarReunionRomaniaRussian FederationRwandaSaint Kitts and NevisSaint LuciaSamoaSan MarinoSao Tome/PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSlovak RepublicSloveniaSolomon IslandsSomaliaSouth AfricaSpainSri LankaSt. HelenaSt. Pierre and MiquelonSt. Vincent and GrenadinesSudanSurinameSvalbard/Jan Mayen Isls.SwazilandSwedenSwitzerlandSyriaTaiwanTajikistanTanzaniaThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanTurks/Caicos Isls.TuvaluUgandaUkraineUnited Arab EmiratesUnited StatesUS Minor Outlying Is.UruguayUzbekistanVanuatuVatican CityVenezuelaViet NamVirgin Islands (British)Virgin Islands (U.S.)Wallis/Futuna Isls.Western SaharaYemenZambiaZimbabweState or Province*--Please Select--Other - not US or CAAlaskaAlabamaArkansasArizonaCaliforniaColoradoConnecticutD.C.DelawareFloridaMicronesiaGeorgiaHawaiiIowaIdahoIllinoisIndianaKansasKentuckyLouisianaMassachusettsMarylandMaineMichiganMinnesotaMissouriMarianasMississippiMontanaNorth CarolinaNorth DakotaNebraskaNew HampshireNew JerseyNew MexicoNevadaNew YorkOhioOklahomaOregonPennsylvaniaRhode IslandSouth CarolinaSouth DakotaTennesseeTexasUtahVirginiaVermontWashingtonWisconsinWest VirginiaWyomingAlbertaManitobaBritish ColumbiaNew BrunswickNewfoundland and LabradorNova ScotiaNorthwest TerritoriesNunavutOntarioPrince Edward IslandQuebecSaskatchewanYukon TerritoryBusiness PhoneBy supplying my contact information, I authorize Vaisala to contact me about relevant products and services. See our Privacy Policy for more details. You can modify your preference settings or unsubscribe at any time here
How do we Identify the Most Destructive Lightning Strikes Vaisala’s NLDN and GLD360 lightning networks accurately distinguish cloud-to-ground lightning strokes from cloud lightning and precisely identify their location, by analysis of the electromagnetic signal. Key Benefits: Faster identification and more effective inspection of likely damaged areas or areas in which a fire might have started Warning alerts that infrastructure is likely to have been seriously damaged. Early intervention to prevent progressive damage Cost reduction by prioritizing post-storm inspections of assets and infrastructure likely to have been damaged.
