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ORIENT (1.0)The Outer RadIation belt Electron Neural net modelModel DescriptionORIENT (Outer RadIation belt Electron Neural neT model) is a set of machine learning model of Earth’s radiation belt electron flux. The ORIENT estimates the spin-average electron flux at different energy levels (50 keV ~ 2 MeV) at the L shell ranging from 2.6 Re to 6.6 Re(outer radiation belt) and at different MLT and MLAT. The model is trained using data from MagEIS and REPT instrument onboard the Van Allen Probes. The model driver is the time history of solarwind condition (velocity: Vsw, dynamic pressure: Psw), geomagnetic indices (AL or AE, SYM-H) and location (L, MLT,MLAT). The time history is ranging from 3 days to 20 days which depends on the target electron energy level. The model is trained using TensorFlow(https://www.tensorflow.org/) but can also be converted into different machine learning framework using ONNX(https://onnxruntime.ai/). The model has been extensively tested and validated showing very high accuracy performance for out-of-sample data (R^2 ∼ 0.78–0.92). Importantly, the ORIENT model successfully captures electron dynamics over long- and short timescales for a range of different energies. Model Figure(s) :Model Inputs DescriptionTime average of solar wind indices (Flow speed and Pressure), geomagnetic indices(AL or AE, SYM-H), location (MLT,MLAT,L) Model Outputs DescriptionElectron flux at specific energy Model CaveatsThe real-time of geomagnetic indices might be inaccurate and not accessible. e.g., Real time AE & AL might be not accessible. Change LogModel Acknowledgement/Publication Policy (if any)UCLA Atmospheric & Oceanic Science, Bortnik’s Group Model Domains:Magnetosphere.Inner_Magnetosphere.RingCurrentMagnetosphere.Inner_Magnetosphere.RadiationBelt Space Weather Impacts:Near-earth radiation and plasma environment (aerospace assets functionality)Phenomena :Simulation Type(s):Machine-LearningTemporal Dependence Possible? (whether the code results depend on physical time?)trueModel is available at?CCMCSource code of the model is publicly available?trueCCMC Model Status (e.g. onboarding, use in production, retired, only hosting output, only source is available):onboardingCode Language:pythonRegions (this is automatically mapped based on model domain):Earth.MagnetosphereContacts :Yihua.Zheng, ModelHostContactJacob.Bortnik, ModelDeveloper Donglai.Ma, ModelDeveloper Acknowledgement/Institution :UCLA Atmospheric & Oceanic Science, Bortnik’s GroupRelevant Links :Publications :Model Access Information :Access URL: https://github.com/donglai96/ORIENTAccess URL Name: Public Repository Repository ID: spase://CCMC/Repository/NASA/GSFC/CCMC Availability: online AccessRights: OPEN Format: HTML Encoding: None Linked to Other Spase Resource(s) (example: another SimulationModel) : |
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