On diagnosing observation-error statistics with local ensemble data assimilation
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DOI: 10.1002/qj.3117
Abstract: Recent research has shown that the use of correlated observation errors in data assimilation can lead to improvements in analysis accuracy and forecast skill. As a result there is increased interest in characterizing, understanding and… read more here.
Keywords: data assimilation; analysis; observation; observation error ... See more keywords
Data assimilation strategies for state‐dependent observation error variances
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DOI: 10.1002/qj.3424
Abstract: The Ensemble Kalman Filter (EnKF) and 4D‐Var Data Assimilation (DA) approaches require that a fixed observation error variance be specified for each observation. To highlight the need to consider the state dependence of observation error… read more here.
Keywords: state; observation; error; observation error ... See more keywords
Estimation of ground‐based GNSS Zenith Total Delay temporal observation error correlations using data from the NOAA and E‐GVAP networks
Sign Up to like & getrecommendations! Published in 2019 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.3448
Abstract: In preparation for possible higher frequency assimilation of ground‐based Global Navigation Satellite System (GB‐GNSS) Zenith Total Delay (ZTD) observations at Environment and Climate Change Canada (ECCC), two popular diagnostic methods are applied to observation‐minus‐background and… read more here.
Keywords: gnss; observation error; error correlations; ground based ... See more keywords
A Bayesian model for estimating multi-state disease progression
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DOI: 10.1016/j.compbiomed.2016.12.011
Abstract: A growing number of individuals who are considered at high risk of cancer are now routinely undergoing population screening. However, noted harms such as radiation exposure, overdiagnosis, and overtreatment underscore the need for better temporal… read more here.
Keywords: state; bayesian model; observation error; model ... See more keywords
Assimilating Observations with Spatially Correlated Errors Using a Serial Ensemble Filter with a Multiscale Approach
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DOI: 10.1175/mwr-d-19-0387.1
Abstract: The serial ensemble square root filter (EnSRF) typically assumes observation errors to be uncorrelated when assimilating the observations one at a time. This assumption causes the filter solution to be suboptimal when the observation errors… read more here.
Keywords: observation; error; spatially correlated; observation error ... See more keywords
Correlated observation error models for assimilating all-sky infrared radiances
Sign Up to like & getrecommendations! Published in 2019 at "Atmospheric Measurement Techniques"
DOI: 10.5194/amt-12-3629-2019
Abstract: Abstract. The benefit of hyperspectral infrared sounders to weather forecasting has been improved with the representation of inter-channel correlations in the observation error model. A further step would be to assimilate these observations in all-sky… read more here.
Keywords: observation error; error models; assimilation; sky infrared ... See more keywords