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Otkin, Jason A. (2010) Clear and cloudy sky infrared brightness temperature assimilation using an ensemble Kalman filter. Journal of Geophysical Research, 115. doi:10.1029/2009jd013759

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Reference TypeJournal (article/letter/editorial)
TitleClear and cloudy sky infrared brightness temperature assimilation using an ensemble Kalman filter
JournalJournal of Geophysical Research
AuthorsOtkin, Jason A.Author
Year2010 (October 7)Volume115
PublisherAmerican Geophysical Union (AGU)
DOIdoi:10.1029/2009jd013759Search in ResearchGate
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Mindat Ref. ID883571Long-form Identifiermindat:1:5:883571:4
GUID0
Full ReferenceOtkin, Jason A. (2010) Clear and cloudy sky infrared brightness temperature assimilation using an ensemble Kalman filter. Journal of Geophysical Research, 115. doi:10.1029/2009jd013759
Plain TextOtkin, Jason A. (2010) Clear and cloudy sky infrared brightness temperature assimilation using an ensemble Kalman filter. Journal of Geophysical Research, 115. doi:10.1029/2009jd013759
In(2010) Journal of Geophysical Research Vol. 115. American Geophysical Union (AGU)

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Otkin, Jason A. (2012) Assessing the Impact of the Covariance Localization Radius when Assimilating Infrared Brightness Temperature Observations Using an Ensemble Kalman Filter. Monthly Weather Review, 140. 543-561 doi:10.1175/mwr-d-11-00084.1
Otkin, Jason A. (2012) Assimilation of water vapor sensitive infrared brightness temperature observations during a high impact weather event. Journal of Geophysical Research: Atmospheres, 117. doi:10.1029/2012jd017568
Otkin, Jason A., Potthast, Roland (2019) Assimilation of All-Sky SEVIRI Infrared Brightness Temperatures in a Regional-Scale Ensemble Data Assimilation System. Monthly Weather Review, 147. 4481-4509 doi:10.1175/mwr-d-19-0133.1
Ghent, D., Kaduk, J., Remedios, J., Ardö, J., Balzter, H. (2010) Assimilation of land surface temperature into the land surface model JULES with an ensemble Kalman filter. Journal of Geophysical Research, 115. doi:10.1029/2010jd014392
Pagowski, Mariusz, Grell, Georg A. (2012) Experiments with the assimilation of fine aerosols using an ensemble Kalman filter. Journal of Geophysical Research: Atmospheres, 117. doi:10.1029/2012jd018333
Zheng, Fei, Zhu, Jiang (2008) Balanced multivariate model errors of an intermediate coupled model for ensemble Kalman filter data assimilation. Journal of Geophysical Research, 113. doi:10.1029/2007jc004621
Xu, Tongren, Liang, Shunlin, Liu, Shaomin (2011) Estimating turbulent fluxes through assimilation of geostationary operational environmental satellites data using ensemble Kalman filter. Journal of Geophysical Research, 116. doi:10.1029/2010jd015150
Chandramouli, Krishnamoorthy, Wang, Xuguang, Johnson, Aaron, Otkin, Jason (2022) Online Nonlinear Bias Correction in Ensemble Kalman Filter to Assimilate GOES‐R All‐Sky Radiances for the Analysis and Prediction of Rapidly Developing Supercells. Journal of Advances in Modeling Earth Systems, 14 (3) doi:10.1029/2021ms002711
Zheng, Fei, Zhu, Jiang (2008) Correction to “Balanced multivariate model errors of an intermediate coupled model for ensemble Kalman filter data assimilation”. Journal of Geophysical Research: Oceans, 113. doi:10.1029/2008jc005065
Gerber, M., Joos, F. (2010) Carbon sources and sinks from an Ensemble Kalman Filter ocean data assimilation. Global Biogeochemical Cycles, 24. doi:10.1029/2009gb003531
Wagner, T. (2002) UV-visible observations of atmospheric O4absorptions using direct moonlight and zenith-scattered sunlight for clear-sky and cloudy sky conditions. Journal of Geophysical Research, 107. doi:10.1029/2001jd001026
 
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