@article{PAR00004047,
  title = {{A}n improved retrieval algorithm for water vapor retrieval : application to the envisat microwave radiometer},
  author = {{O}bligis, {E}. and {R}ahmani, {A}. and {E}ymard, {L}aurence and {L}abroue, {S}. and {B}ronner, {E}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}lgorithms proposed to retrieve water vapor are usually developed using statistical regression. {R}ecent results have shown that this global statistical approach creates systematic geographical errors implying systematic biases. {I}n the particular case of the wet tropospheric correction for altimetry missions, these biases directly distort the sea level estimation. {A}fter an in-depth analysis of the retrieval errors, we propose a new approach that significantly improves the quality of the retrieval algorithm.},
  keywords = {{M}icrowave radiometry ; water vapor retrieval ; wet tropospheric correction},
  booktitle = {},
  journal = {{IEEE} {T}ransactions on {G}eoscience and {R}emote {S}ensing},
  volume = {47},
  numero = {9},
  pages = {3057--3064},
  ISSN = {0196-2892},
  year = {2009},
  DOI = {10.1109/tgrs.2009.2020433},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00004047},
}