Atmospheric motion vectors (AMVs) have been assimilated operationally in the Met Office global model since the 1980s and are useful for providing dynamical information for forecast models. Despite their use over two decades, significant advances are still being made to the coverage and quality of the data. In the two years since the 7th International Winds Workshop we have made four operational AMV changes to our global model including use of the new MODIS polar wind dataset and transition from the Meteosat-7 to the new generation Meteosat-8 AMVs. Results of recent data denial experiments show that the AMVs are providing benefit despite the ever-improving global observing system. It may be possible to improve the impact further by better re...
Atmopsheric motion vectors (AMVs) are a valuable observation type for providing dynamical informatio...
in NWP (Numerical Weather Prediction) models continues to be an important source of information i
Atmospheric Motion Vectors (AMVs) are amongst the data assimilated routinely by a number of weather ...
Atmospheric Motion Vectors (AMVs) play an important role in ECMWF’s observing system, notably provid...
A review of the status of Atmospheric Motion Vectors (AMVs), monitored and assimilated operationally...
The generation of Atmospheric Motion Vectors (AMVs) from geostationary satellite data at EUMETSAT ha...
The importance of satellite data at large is now such that they provide the main sources of informat...
shown potential as a useful new dataset for NWP models. The winds provide information in the data-sp...
The operational near-real time wind generation is at EUMETSAT based on two generations of geostation...
An update on the status of the monitoring and use of AMVs at ECMWF is presented, with a particular f...
The use of Atmospheric Motion Vectors (AMVs) in NWP (Numerical Weather Prediction) models continues ...
Atmospheric Motion Vectors (AMV) generated from M8 geostationary satellite images have been used to ...
The work on Atmospheric Motion Vectors (AMV) at the Hungarian Meteorological Service (HMS) started w...
The use of Atmospheric Motion Vectors (AMVs) in NWP (Numerical Weather Prediction) models continues ...
EUMETSAT currently derives meteorological products operationally from four geostationary satellites....
Atmopsheric motion vectors (AMVs) are a valuable observation type for providing dynamical informatio...
in NWP (Numerical Weather Prediction) models continues to be an important source of information i
Atmospheric Motion Vectors (AMVs) are amongst the data assimilated routinely by a number of weather ...
Atmospheric Motion Vectors (AMVs) play an important role in ECMWF’s observing system, notably provid...
A review of the status of Atmospheric Motion Vectors (AMVs), monitored and assimilated operationally...
The generation of Atmospheric Motion Vectors (AMVs) from geostationary satellite data at EUMETSAT ha...
The importance of satellite data at large is now such that they provide the main sources of informat...
shown potential as a useful new dataset for NWP models. The winds provide information in the data-sp...
The operational near-real time wind generation is at EUMETSAT based on two generations of geostation...
An update on the status of the monitoring and use of AMVs at ECMWF is presented, with a particular f...
The use of Atmospheric Motion Vectors (AMVs) in NWP (Numerical Weather Prediction) models continues ...
Atmospheric Motion Vectors (AMV) generated from M8 geostationary satellite images have been used to ...
The work on Atmospheric Motion Vectors (AMV) at the Hungarian Meteorological Service (HMS) started w...
The use of Atmospheric Motion Vectors (AMVs) in NWP (Numerical Weather Prediction) models continues ...
EUMETSAT currently derives meteorological products operationally from four geostationary satellites....
Atmopsheric motion vectors (AMVs) are a valuable observation type for providing dynamical informatio...
in NWP (Numerical Weather Prediction) models continues to be an important source of information i
Atmospheric Motion Vectors (AMVs) are amongst the data assimilated routinely by a number of weather ...