Evaluation and assimilation of ATMS data in the ECMWF system

Evaluation and assimilation of ATMS data in the ECMWF system

the clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance

با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...

data mining rules and classification methods in insurance: the case of collision insurance

assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...

Assimilation of Ers and Envisat Wave Data at Ecmwf

Operational wave data assimilation at ECMWF started with ERS-1 radar altimeter wave heights on 15 August 1993. This had a significant impact on the wave model analysis and forecast. The impact of wave data assimilation based on the ECMWF experience is presented. This includes the impact of assimilation of ERS radar altimeter and synthetic aperture radar and ENVISAT radar altimeter-2 wave data. ...

Assimilation of altimeter data in the ECMWF ocean analysis system 3

The latest version of the ECMWF ocean analysis system was recently introduced into operational use. This not only provides initial conditions for the monthly and seasonal forecast systems but also creates a historical reanalysis. For the first time, altimeter data are used in the ECMWF operational ocean analysis. However, making good use of altimetric sea level information was not easy and seve...