3-D rendering of jet stream with temperature on Earth’s surface

ESIP Air ESIP Air DomainDomain

OverviewOverviewThe Air Domain encompasses a variety of topic areas, but its focus is those areas where the Earth's atmosphere is the primary consideration. These areas include meteorological and weather studies, climate studies, air quality measurements and investigations, and atmospheric chemistry questions that extend through the stratosphere, and probably can be extended to include the implications of near space weather in the ionosphere.

SourcesSourcesDepartment of EnergyEnvironmental Protection AgencyFederal Aviation Administration Federal Highway AdministrationGlobal Ocean Data Assimilation ExperimentInfrastructure and societal impacts data in various GIS systemsLocal mesonetsNational Aeronautics and Space AdministrationNational Oceanographic and Atmospheric AdministrationNational Virtual Ocean Data SystemTV station radars and automated networksUS Forestry ServiceUS Geological Service

UsersUsersGeneral public: Will it rain on my picnic? Okay to camp? Weather safety (e.g., air quality and UV)Decision makers: Snow removal, work scheduling, road closures, drought assessment, air quality, water resource managementBuilders: Excessive eastern rains have kept many builders behind scheduleAviation: Airport delays, safetyNASA: Shuttle launchesInsurance companies: Claims settlement, severe loss probabilityEmergency managers: Hurricane evacuation, forest fire evacuationForestry folks: Fire fighting, fire detection Farmers: Planting, harvesting, spread of insectsEnergy companies: Managing energy suppliesShipping companies: Storms, waves, etc.Sporting events: Outdoor venues, snowmaking decisions Weather station in the field

Oblique 3D view of Jet Stream at 50 m/sec and wind speed plan view at 250 mb

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Questions Questions and Issuesand IssuesCan data sources needed by the Atmospheric Sciences community be prioritized?

How important is it to have access to data in near- realtime?

What is the best way to integrate, store, and provide access to the data that will result from the interaction of traditional GIS datasets and the spatial and temporal scales of atmospheric science observations?

Will emerging standards for web services (e.g., OpenGIS and ISO TC211) be adequate to represent and serve data from atmospheric science data systems?

Which tools are best suited for analyzing and displaying atmospheric data and for integrating them with data from related disciplines?

What's the best approach to making data available for assimilation into local models?

How can we define the goals of cataloging and distributing realtime and retrospective observational and model/assimilation datasets within the context of Digital Libraries?

Data Data TypesTypes

AERIGOES and polar orbiting satellitesLIDARLightning detection networksOutput from forecast modelsRadar systemsRainfall dataSea surface temperatureSnow coverSpace weather dataTraditional weather station measurements around the globe Vertical profiles gathered from balloon soundings, aircraft-borne instruments, and wind profiler networks

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THREDDS Server

THREDDS Server

Coupled forecast models running at many Coupled forecast models running at many different distributed sitesdifferent distributed sites

•Use national forecast model output for Use national forecast model output for initializationinitialization

•Assimilate realtime observational data from Assimilate realtime observational data from local and national systemslocal and national systems

•Make output available for research and Make output available for research and education and for input into other local modelseducation and for input into other local models

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High Resolution Local Forecast High Resolution Local Forecast ModelsModels

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National forecast model National forecast model output for initializationoutput for initialization

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Coupled hydro model

Plume dispersion

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AssimilationLocal

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InitializationInitialization

DataMiningLocal radar data Local radar data

for assimilationfor assimilation

THREDDSServer

Local weather forecast model