Model/Technique Registration (*=required): ASAP
Information about your group/project: 
  Name(s) and e-mail (s) (please list primary contact first)*: 
Rami Qahwaji  (r.s.r.qahwaji@bradford.ac.uk)
Omar Ashamari (o.w.a.ashamari@bradford.ac.uk)
  Associated Institution/Project name/Group name*: Bradford University - Space Weather Research Group
  Website url(s): http://spaceweather.inf.brad.ac.uk/
  Logo(s):

Information about your method:
  Forecasting method name*: Automated Solar Activity Prediction (ASAP)
  Shorthand unique identifier for your method (methodname_version, e.g. ASSA_1, ASAP_201201): ASAP_1
  Short description*: ASAP is a system proposed to predict solar flares based on sunspots McIntosh classification, using SDO HMI Intensitygrams and Magnetograms images. 
  References: T. Colak and R. Qahwaji, "ASAP: A Hybrid Computer Platform Using Machine Learning and Solar Imaging for Automated Prediction of Significant Solar Flares", Space Weather, 7, S06001, doi:10.1029/2008SW000401, 2009

Further Model Details:
  (1)* Please specify if the forecast is human generated, human generated but model-based, model-based, or other.
model-based

  (2)* Does your flare prediction method forecast “M1.0-9.9” or “M and above”? Would it be difficult for you to adapt your method from one to another? Which forecast binning method do you prefer?
M and above. It is difficult to adapt our method from one to another at the moment. 

  (3)* How do you specify active regions in your model? Do you relate their location to other schemes such as NOAA or Catania? If so, what is your criterea to relate them?
The model is based on sunspot detection and classification, which is done automatically by our in-house detection algorithm. 

  (4)* Uncertainties given as an upper and lower bound is an optional field. Does your model provide uncertainties for the forecasted probability?

Uncertainties are not given at this stage. 

  (5)* For each forecast, what prediction window(s) does your method use? E.g. Does your method predict for the next 24 hours, 48, and 72 hours or the next 24 hours, 24-48 hours, 48-72 hours? (This information is useful for displaying only comparable methods together).

The prediction window is ImageTime-24 hours.

    (6)* Calibration levels are optional fields. Do you have calibration for the probabilities from your model? E.g. is a 40% forecast a “high” probability for your method?

None