Comparison of Msg Dense Atmospheric Motion Vector Fields Produced by Different Methods

نویسندگان

  • B. Wieneke
  • L. Alvarez
چکیده

This presentation is one of the first intercomparisons between vector fields representing atmospheric motions produced by different methods. Several methods extracting dense motion vector fields based mainly on optical flow techniques have been applied to a dataset of Meteosat Second Generation (MSG) images. The resulting vector fields have then been compared to sparse reference atmospheric vector (AMV) fields calculated with a block-matching (correlation-type) method. Analysed winds are used as complementary data for height assignment or for verification. All the presented methods produce visually consistent vector fields, smoother than the non-dense reference fields. But the high density of vectors is obtained at the cost of losing some outliers (consistent vectors at smaller scales), and having vectors of smaller intensity in average. Differences between results will also be interpreted in relation to the corresponding methods.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparison of Atmospheric Motion Vectors and Dense Vector Fields Calculated from Msg Images

A method based on optical flow techniques has been developed at IRISA to compute dense motion vector fields from images [Corpetti et al., 2002]. This method has been applied on consecutive MSG images in the thermal infrared (IR 10.8 μm) channel. Adaptations of the method consist in using a cloud classification to calculate "locally dense" vector fields for the different cloud types. Dense vecto...

متن کامل

THE ATMOSPHERIC MOTION VECTOR RETRIEVAL SCHEME FOR METEOSAT SECOND GENERATION Kenneth Holmlund EUMETSAT

The advent of the Meteosat Second Generation (MSG) provides many new opportunities for improved derivation of Atmospheric Motion Vectors (AMVs) from geostationary satellite data. MSG will provide full field of view imagery data every 15 min. with a sampling distance of 3 km, already improving the capabilities to derive AMVs. Another main improvement is the large range of available channels that...

متن کامل

A Comparison of Two Atmospheric Motion Vector Derivation Schemes: the Eumetsat Msg Prototyping Scheme and the Nsmc Scheme

In order to examine the effectiveness of the NSMC scheme, a comparison was arranged under the cooperation frame between EUMETSAT and CMA (China Meteorological Administration). Two periods of data from Meteosat-5 including IR and WV channels were processed and compared by both the EUMETSAT and NSMC schemes. The comparison periods were one week long each, and in January and July respectively. The...

متن کامل

A prediction distribution of atmospheric pollutants using support vector machines, discriminant analysis and mapping tools (Case study: Tunisia)

Monitoring and controlling air quality parameters form an important subject of atmospheric and environmental research today due to the health impacts caused by the different pollutants present in the urban areas. The support vector machine (SVM), as a supervised learning analysis method, is considered an effective statistical tool for the prediction and analysis of air quality. The work present...

متن کامل

A prediction distribution of atmospheric pollutants using support vector machines, discriminant analysis and mapping tools (Case study: Tunisia)

Monitoring and controlling air quality parameters form an important subject of atmospheric and environmental research today due to the health impacts caused by the different pollutants present in the urban areas. The support vector machine (SVM), as a supervised learning analysis method, is considered an effective statistical tool for the prediction and analysis of air quality. The work present...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007