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PDF (2018)

The Probability Distribution Function (PDF) model

Model Description

The Probability Distribution Function (PDF) model is a project of the Department of Climate and Space Sciences and Engineering from the College of Engineering at the University of Michigan.

The Probability Distribution Function(PDF) model (Bussy‐Virat & Ridley, 20146) forecasts the wind speed at L1 up to 5 days in advance using probability distributions, which have been constructed by analyzing solar wind observations between 1995 and 2011. These PDFs specify the likelihood that a particular wind speed will occur, given the current speed and the current slope of the wind speed curve. The model also takes account of rotational periodicities at quiet times and was updated (Bussy‐Virat & Ridley, 2016) to improve its ability to identify stream interaction regions (SIRs). 

Model Figure(s) :

Model Inputs Description

OMNI solar wind data from NASA/GSFC Space Physics Data Facility

Model Outputs Description

Forecast of solar wind speed at L1

Model Caveats


	
	
	
	

Change Log


	
	 
	

Model Acknowledgement/Publication Policy (if any)


	
	
	

Model Domains:

Heliosphere.Inner_Heliosphere
Heliosphere.Outer_Heliosphere

Space Weather Impacts:

Phenomena :

Simulation Type(s):

Empirical

Temporal Dependence Possible? (whether the code results depend on physical time?)

true

Model is available at?

CCMC

Source code of the model is publicly available?

false

CCMC Model Status (e.g. onboarding, use in production, retired, only hosting output, only source is available):

production

Code Language:

IDL

Regions (this is automatically mapped based on model domain):

Heliosphere.Inner
Heliosphere.Outer

Contacts :

Charles.Bussy-Virat, ModelDeveloper
Aaron.Ridley, ModelDeveloper
Peter.MacNeice, ModelHostContact

Acknowledgement/Institution :

Department of Climate and Space Sciences and Engineering, University of Michigan

Relevant Links :

Publications :

  • Bussy-Virat,C.D., and Ridley,A.J., (2016), Space Weather Journal, 'Twenty‐four hour predictions of the solar wind speed peaks by the probability distribution function model', Volume,14, Issue 10.
  • Bussy-Virat,C.D., and Ridley,A.J., (2014), Space Weather Journal, 'Predictions of the solar wind speed by the probability distribution function model'
  • Model Access Information :

    Access URL: https://iswa.gsfc.nasa.gov/iswa_data_tree/model/heliosphere/PDF/WindSpeed/
    Access URL Name: Continuous/RT Run (ISWA data tree)
    Repository ID: spase://CCMC/Repository/NASA/GSFC/CCMC
    Availability: online
    AccessRights: OPEN
    Format: HTML
    Encoding: None

    Access URL: https://iswa.gsfc.nasa.gov/IswaSystemWebApp/index.jsp?i_1=634&l_1=694&t_1=384&w_1=540&h_1=704&s_1=0_0_10_3
    Access URL Name: Continuous/RT Run (ISWA layout)
    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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    Curator: Chiu Wiegand | NASA Official: Dr. Masha Kuznetsova | Privacy and Security Notices | Accessibility | CCMC Data Collection Consent Agreement