Academic Journal
Data Assimilation by Morphing Fast Fourier Transform Ensemble Kalman Filter for Precipitation Forecasts using Radar Images 1
العنوان: | Data Assimilation by Morphing Fast Fourier Transform Ensemble Kalman Filter for Precipitation Forecasts using Radar Images 1 |
---|---|
المؤلفون: | Jan M, Jonathan D. Beezley, Volodymyr Y. Kondratenko, Jaroslav Resler |
المساهمون: | The Pennsylvania State University CiteSeerX Archives |
المصدر: | http://www-math.cudenver.edu/ccm/reports/rep289.pdf. |
سنة النشر: | 2010 |
المجموعة: | CiteSeerX |
مصطلحات موضوعية: | Contents |
الوصف: | The FFT EnKF takes advantage of the theory of random fields and the FFT to provide a good and cheap approximation of the state covariance with a very small ensemble. The method and predecessor components are explained and the method is extended to the case of observations given on a rectangular subdomain, suitable for assimilation of regional radar images into a weather model. |
نوع الوثيقة: | text |
وصف الملف: | application/pdf |
اللغة: | English |
Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.190.7902; http://www-math.cudenver.edu/ccm/reports/rep289.pdf |
الاتاحة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.190.7902 http://www-math.cudenver.edu/ccm/reports/rep289.pdf |
Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
رقم الانضمام: | edsbas.8A7ECFB1 |
قاعدة البيانات: | BASE |
الوصف غير متاح. |