Academic Journal

Data Assimilation by Morphing Fast Fourier Transform Ensemble Kalman Filter for Precipitation Forecasts using Radar Images 1

التفاصيل البيبلوغرافية
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