Input Variables - The most important requirement for successful estimation of rainfall using ANN is the selection of input variables that provide sufficient information to enable proper rainfall rate discrimination. - Basic approaches use only the satellite IR image brightness temperature Tb. - In contrast, the MCPN is able to construct a model that uses as many input variables as might be considered to be informative about the rainfall process. - Since 1996, we have extensively explored the selection of model input and developed various version of PERSIANN that make use of multiple satellite data, as well as multiple features obtained from these data. - For example, these include the mean, standard deviation of brightness temperature within [n x n] grid cells, together with image texture variable.
Posted on: Wed, 26 Mar 2014 12:57:24 +0000
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