Presentations of OUA&T Workshop

Dear All,
I have uploaded all the presentations from OUA&T Workshop at the IRI wiki page, from where these can be accessed by anyone.
Please check the link given below and in certain cases of inconvenience, please feel free to contact me.
The link of the wikipage is-
http://wiki.iri.columbia.edu/index.php?n=ERFS.AgRiskWorkshop2010

How to read Probabilistic forecast

Probabilistic forecast is made in three categories viz. Below Normal, Near Normal and Above normal. These categories are based on the previous year’s observed data set (IMD’s gridded data). The model and observed data sets are normalized to have zero mean and one standard deviation before subjecting to any analysis. As the mean is shifted to zero and standard deviation changed to unity the bounds for the categories become as follows.
Below Normal category: -infinity to -0.43
Near Normal category: -0.43 to 0.43
Above normal category: 0.43 to infinity
e.g. if we get 20% below normal 30% Normal and 50% above normal means there are 50% chances that the rainfall will be more than 0.43 (Above Normal) at the same time there are 20% chances to get rainfall less than -0.43 (Below Normal) and 30% chances of getting rainfall in the near normal category, thus in this example it becomes wet forecast.
KINDLY LET ME KNOW IF I HAVE WRITTEN SOMETHING WRONG