Royal Dutch Meteorological Institute; Ministery Of Infrastructure And The Environment

NSCAT-4 geophysical model function
The NSCAT-4 geophysical model function (GMF) improves the consistency of retrieved Ku-band scatterometer winds with moored buoys, specially for winds above 15 m/s.

The NSCAT-4 GMF was derived from the NSCAT-2 GMF. Above 15 m/s, a linear scaling of the wind speed was applied. Subsequently, 0.2 m/s was added to all wind speeds.

v NSCAT-4 = v NSCAT-2 + 0.2   ;                 v <= 15 m/s

v NSCAT-4 = 2/3 * v NSCAT-2 + 5.2   ;         v > 15 m/s

So, a 8 m/s wind from NSCAT-2 corresponds to a 8.2 m/s NSCAT-4 wind and a 24 m/s wind from NSCAT-2 corresponds to a 21.2 m/s NSCAT-4 wind retrieval. The NSCAT-2 GMF lookup table was adapted in this way for all combinations of incidence and azimuth angles. This ensures that the fit in measurement space of the backscatter quadruplets to the GMF will not change (i.e., the MLE distribution will not change), hence maintaining all other retrieval qualities.

NSCAT-4 winds
SeaWinds NSCAT-4 winds vs. buoy winds for January to December 2008. The numbers in the wind speed, direction, zonal and meridional wind panels, denote the standard deviation of difference between SeaWinds and buoy winds (click to enlarge).
The high speed correction was obtained by comparing scatterometer wind speeds with buoy and ECMWF winds. The scatterometer wind speed bias versus the average scatterometer and reference wind speed, reference being buoy or ECMWF winds, has been minimized. Using the NSCAT-4 GMF, it has been verified that a rather flat bias is obtained, both for Oceansat-2 (OSCAT) and QuikSCAT (SeaWinds) scatterometers.

Note that precise tuning of high speed winds is not easy. Due to the limited amount of available data above 15 m/s, the errors in the buoy and ECMWF winds are not very well known. Comparison to NOAA hurricane flight data is ongoing within the International Ocean Vector Winds Science Team (IOVWST).

The NSCAT-2 Ku-band geophysical model function (GMF), was empirically derived from NSCAT data and it is described in the paper by Wentz and Smith (see below). Portabella compared in his thesis NSCAT-2 to the later developed GMF for QuikSCAT/SeaWinds, QSCAT-1. He concluded that NSCAT-2 provides a less ambiguous wind product than QSCAT-1 without decreasing the quality of the wind retrieval. In other words, in comparison with QSCAT-1, NSCAT-2 is capable of removing a significant amount of unrealistic ambiguous wind solutions. This is described in Appendix C of Marcos Portabella's thesis. Consequently, the NSCAT-2 GMF was used for deriving SeaWinds winds in the OSI SAF.

Evolution of the NSCAT-type GMFs has the great advantage that its physical properties apply to all Ku-band scatterometers, irrespective of their different incidence angles. The NSCAT, SeaWinds and OSCAT incidence angles are all different. We plan to apply NSCAT-4 for consistent Ku-band climate data records, both in wind and backscatter.
Tables and Fortran 90 code (15 MB, use the "tar -xf" command to unpack on Unix/Linux). The package contains binary tables for HH and VV polarization in big endian and little endian. A simple Fortran 90 program is included that will read a table and displays some of its data values as a function of wind speed, azimuth angle and incidence angle.
Wentz, F.J. and D.K. Smith, A model function for the ocean normalized radar cross section at 14 GHz derived from NSCAT observations
J. Geophys. Res., 1999, 104, C5, 11499-11514

Portabella, M., Wind field retrieval from satellite radar systems
Thesis: University of Barcelona, 2002, Barcelona, Spain, 207p.
Complete text (pdf: 3 MB)
Further information
Please contact the KNMI scatterometer team.

Near real time Wind Products
OSI SAF Wind Climate Data Records
Discontinued Wind Products
R&D work