The usage of Atmospheric Motion Vectors (AMVs) in the BUFR-encoded dataset (BUFR AMVs) generated from all geostationary satellites was revised in the JMA operational global 4D-Var assimilation system on 18 October 2006, and in the JMA operational mesoscale 4D-Var assimilation system on 7 December 2007. This revision included the replacement of SATOB AMVs with BUFR AMVs, the introduction of hourly MTSAT-1R AMVs and improvement of the pre-processing method in both assimilation systems. Before the revision, BUFR AMVs generated from only METEOSAT satellites and SATOB AMVs from MTSAT-1R and GOES satellites had been assimilated in both systems. BUFR AMVs have a great advantage over SATOB AMVs in their high-density distribution and the availabilit...
The advent of the Meteosat Second Generation (MSG) provides many new opportunities for improved deri...
The use, in a global uniform version of the ARPEGE model, of the Atmospheric Motion Vectors (AMV) pr...
The Height Assignment (HA) is one of the most important sources of errors in the operational Atmosph...
The Group of Meteorological Satellite (CGMS) has been recommending the standardization of Atmospheri...
Atmospheric Motion Vectors (AMVs) play an important role in ECMWF’s observing system, notably provid...
The Meteorological Satellite Center (MSC) has been producing high density atmospheric motion vector ...
A review of the status of Atmospheric Motion Vectors (AMVs), monitored and assimilated operationally...
The work on Atmospheric Motion Vectors (AMV) at the Hungarian Meteorological Service (HMS) started w...
The Japan Meteorological Agency (JMA) uses various satellite data in its operational data assimilati...
Atmospheric motion vectors (AMVs) have been assimilated operationally in the Met Office global model...
Atmospheric Motion Vector (AMV) is one of important meteorological products derived from satellite d...
An update on the status of the monitoring and use of AMVs at ECMWF is presented, with a particular f...
Atmospheric Motion Vectors (AMV) generated from M8 geostationary satellite images have been used to ...
This study demonstrates methods to obtain high-density, satellite-derived atmospheric motion vectors...
The operational near-real time wind generation is at EUMETSAT based on two generations of geostation...
The advent of the Meteosat Second Generation (MSG) provides many new opportunities for improved deri...
The use, in a global uniform version of the ARPEGE model, of the Atmospheric Motion Vectors (AMV) pr...
The Height Assignment (HA) is one of the most important sources of errors in the operational Atmosph...
The Group of Meteorological Satellite (CGMS) has been recommending the standardization of Atmospheri...
Atmospheric Motion Vectors (AMVs) play an important role in ECMWF’s observing system, notably provid...
The Meteorological Satellite Center (MSC) has been producing high density atmospheric motion vector ...
A review of the status of Atmospheric Motion Vectors (AMVs), monitored and assimilated operationally...
The work on Atmospheric Motion Vectors (AMV) at the Hungarian Meteorological Service (HMS) started w...
The Japan Meteorological Agency (JMA) uses various satellite data in its operational data assimilati...
Atmospheric motion vectors (AMVs) have been assimilated operationally in the Met Office global model...
Atmospheric Motion Vector (AMV) is one of important meteorological products derived from satellite d...
An update on the status of the monitoring and use of AMVs at ECMWF is presented, with a particular f...
Atmospheric Motion Vectors (AMV) generated from M8 geostationary satellite images have been used to ...
This study demonstrates methods to obtain high-density, satellite-derived atmospheric motion vectors...
The operational near-real time wind generation is at EUMETSAT based on two generations of geostation...
The advent of the Meteosat Second Generation (MSG) provides many new opportunities for improved deri...
The use, in a global uniform version of the ARPEGE model, of the Atmospheric Motion Vectors (AMV) pr...
The Height Assignment (HA) is one of the most important sources of errors in the operational Atmosph...