@Article{FertigBHOSAKLL:2009:ObBiCo,
               author = "Fertig, Elana J. and Baek, S. J. and Hunt, Brian R. and Ott, 
                         Edward and Szunyogh, Istvan and Arav{\'e}quia, Jos{\'e} Antonio 
                         and Kalnay, Eugenia and Li, Hong and Liu, Junjie",
          affiliation = "{} and {} and {} and {} and {} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Observation bias correction with an ensemble Kalman filter",
              journal = "Tellus Series A: Dynamic Meteorology and Oceanography",
                 year = "2009",
               volume = "61",
               number = "2",
                pages = "210--226",
                month = "Mar",
             keywords = "Kalman filter,ensemble.",
             abstract = "This paper considers the use of an ensemble Kalman filter to 
                         correct satellite radiance observations for state dependent 
                         biases. Our approach is to use state-space augmentation to 
                         estimate satellite biases as part of the ensemble data 
                         assimilation procedure.We illustrate our approach by applying it 
                         to a particular ensemble schemethe local ensemble transform Kalman 
                         filter (LETKF)to assimilate simulated biased atmospheric infrared 
                         sounder brightness temperature observations from 15 channels on 
                         the simplified parameterizations, primitive-equation dynamics 
                         (SPEEDY) model. The scheme we present successfully reduces both 
                         the observation bias and analysis error in perfect-model 
                         simulations.",
                  doi = "10.1111/j.1600-0870.2008.00378.x",
                  url = "http://dx.doi.org/10.1111/j.1600-0870.2008.00378.x",
                 issn = "0280-6495",
             language = "en",
           targetfile = "Fertig_et_al_2009_Publicado.pdf",
        urlaccessdate = "15 jun. 2024"
}