Background error statistics in the Tropics: Structures and impact in a convective‐scale numerical weather prediction system
Sign Up to like & getrecommendations! Published in 2020 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.3785
Abstract: The background error covariance matrix plays a vital role in any data assimilation system. Proper specification, which is determined by the forecast system set‐up, is often required. Previous studies have investigated its relevance in various… read more here.
Keywords: system; background error; convective scale; covariance ... See more keywords
Improving Convective Precipitation Forecasts Using Ensemble‐Based Background Error Covariance in 3DVAR Radar Assimilation System
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DOI: 10.1029/2019ea000667
Abstract: Skillful quantitative precipitation forecast using the numerical weather prediction model relies on an accurate estimate of the atmospheric state as an initial condition. Variational assimilation methods (VAR) have the potential to provide improved initial state… read more here.
Keywords: assimilation; background error; model; error ... See more keywords
A Monte Carlo Background Covariance Localization Method for an Ensemble–Variational Assimilation System
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DOI: 10.1175/mwr-d-16-0424.1
Abstract: AbstractSpurious long-distance correlations in estimates of the background error covariance can deteriorate the performance of ensemble-based data assimilation methods. In this study, a localization method, called Monte Carlo (MC) localization, is presented to remove these… read more here.
Keywords: assimilation; background error; localization method; covariance ... See more keywords
Comparison of NMC and Ensemble-Based Climatological Background-Error Covariances in an Operational Limited-Area Data Assimilation System
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DOI: 10.3390/atmos10100570
Abstract: The evaluation of several climatological background-error covariance matrix (defined as the B matrix) estimation methods was performed using the ALADIN limited-area modeling data-assimilation system at a 4 km horizontal grid spacing. The B matrices compared… read more here.
Keywords: data assimilation; background error; limited area; ensemble based ... See more keywords