11th Analysis Report of the NWP SAF AMV monitoring

The 11th Analysis Report (AR11) of the NWP SAF AMV monitoring has been released and is available from the Analysis Reports section of the AMV monitoring webpages. The analysis reports identify features from the monitoring statistics and document how these evolve over time.
The status of existing features identified in the monitoring has been updated to reflect changes in the past two years. Several new data sets have been added to the monitoring since AR10. The assessment looks at NOAA-21 VIIRS AMVs, and the inclusion of DWD model data. Alongside these new data sets there have been changes in derivation methods including the rollout of NOAA’s enterprise algorithms. The impact of this change on the monitoring has been evaluated. Further investigation for some existing and new features has expanded our understanding of the cause of the difference between the AMVs and the model. These include the MSG positive bias over N. Africa, the positive speed bias in tropics for MSG and FY-2, and differences between Met Office, ECMWF and DWD statistics for Himawari.

RTTOV v14.0 released

RTTOV v14.0 has been released. This is a major update to the software with numerous improvements and new features, including: changes to the representation of the atmospheric profile to improve consistency with NWP model fields; implementation of the microwave scattering science within RTTOV (the separate “RTTOV-SCATT” model no longer exists); improvements to the accuracy and speed of the MFASIS-NN fast visible cloud solver and support for additional channels; a new heterogeneous surface capability allowing multiple surface types to be associated with each profile; and support for the CAMEL v3 land surface emissivity atlases. The full list of updates is available here.

Summary and recommendation from the NWP SAF Workshop on Satellite Observations of the Earth System Interfaces

The NWP SAF Workshop on Satellite Observations of the Earth System Interfaces was held from 19 to 22 November 2024 at ECMWF. The workshop focused on advancing the exploitation of satellite data in NWP, emphasizing the importance of interface observations that are sensitive to multiple components like the atmosphere, land, sea ice, snow, and the ocean. Key recommendations include enhancing the use of existing and new satellite observations, leveraging machine learning for complex surfaces, and promoting coupled data assimilation for better exploitation of interface observations. The workshop highlighted the need for collaboration among scientific communities and space agencies to address challenges and improve the use of satellite data in NWP. To read the full summary, please go to our Training and Outreach page.