@article{fdi:010069559,
  title = {{T}wo decades (1992-2012) of surface wind analyses based on satellite scatterometer observations},
  author = {{D}esbiolles, {F}. and {B}entamy, {A}. and {B}lanke, {B}. and {R}oy, {C}laude and {M}estas-{N}uñez, {A}.{M}. and {G}rodsky, {S}.{A}. and {H}erbette, {S}. and {C}ambon, {G}ildas and {M}aes, {C}hristophe},
  editor = {},
  language = {{ENG}},
  abstract = {{S}urface winds (equivalent neutral wind velocities at 10 m) from scatterometer missions since 1992 have been used to build up a 20-year climate series. {O}ptimal interpolation and kriging methods have been applied to continuously provide surface wind speed and direction estimates over the global ocean on a regular grid in space and time. {T}he use of other data sources such as radiometer data ({SSM}/{I}) and atmospheric wind reanalyses ({ERA}-{I}nterim) has allowed building a blended product available at 1/4° spatial resolution and every 6 h from 1992 to 2012. {S}ampling issues throughout the different missions ({ERS}-1, {ERS}-2, {Q}uik{SCAT}, and {ASCAT}) and their possible impact on the homogeneity of the gridded product are discussed. {I}n addition, we assess carefully the quality of the blended product in the absence of scatterometer data (1992 to 1999). {D}ata selection experiments show that the description of the surface wind is significantly improved by including the scatterometer winds. {T}he blended winds compare well with buoy winds (1992-2012) and they resolve finer spatial scales than atmospheric reanalyses, which make them suitable for studying air-sea interactions at mesoscale. {T}he seasonal cycle and interannual variability of the product compare well with other long-term wind analyses. {T}he product is used to calculate 20-year trends in wind speed, as well as in zonal and meridional wind components. {T}hese trends show an important asymmetry between the southern and northern hemispheres, which may be an important issue for climate studies.},
  keywords = {{MONDE}},
  booktitle = {},
  journal = {{J}ournal of {M}arine {S}ystems},
  volume = {168},
  numero = {},
  pages = {38--56},
  ISSN = {0924-7963},
  year = {2017},
  DOI = {10.1016/j.jmarsys.2017.01.003},
  URL = {https://www.documentation.ird.fr/hor/fdi:010069559},
}