RapidScat 25 km -3 hours latency- Winds

RapidScat 25 km -3 hours latency- Winds

Discontinued Archived NRT product

At KNMI the backscatter products coming from the RapidScat scatterometer instrument on board the International Space Station are processed towards a 25 km product for the EUMETSAT OSI SAF. Details are described in the RapidScat Wind Product User Manual.

Acronym : RSCAT25
Product navigator reference :


OSI SAF producer : Royal Netherlands Meteorological Institute
Identifier : OSI-109-c
Acronym for EDC (APNM) : ORSW025
Processing level : L2
Satellite input : ISS/RapidScat
Other input : ECMWF outputs (wind, SST, land-sea mask)
Temporal sampling : Continuous
Timeliness : ? The timeliness is the time elapsing from the sensing time of the last contributing file to the product dissemination to users. It is similar to the latency. 3 h
Spatial coverage : Between 56N and 56S
Spatial sampling : 25 km
Projection : Swath
File Formats : WIND FTP Server (BUFR), WIND FTP Server (NetCDF3), EDC (NetCDF3), EUMETCast (BUFR)
Characteristics & methods : Swath sigma0’s and wind vectors
Data Access



Accuracy Requirements
Target accuracy : Better than 2 m/s in wind component Stdev with a bias of less than 0.5 m/s in wind speed on a monthly basis.
Verification/validation method : Triple collocation with NWP and buoys
Applications and users
Usage : * Operational Met Services
* Operational analyses and ocean models
* Research or Environmental monitoring
Authorised to be operational / released :
Declared operational / released since :
On EUMETCast since :
Full series temporal coverage : 2014-2016
  • See also OSI-109-a (RapidScat 25 km -2 hours latency- Winds)

    The RapidScat 2 hours and 3 hours wind products originate from independent input data streams and have different timeliness requirements (120 minutes and 180 minutes). The 2 hours data stream has better timeliness but less coverage: approximately 80% of the theoretical maximum data amount. The 3 hours data stream has a larger latency but better coverage: approximately 98% of the theoretical maximum data amount.

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