activity
20182023
most citedThe impact of using reconditioned correlated observation error covariance matrices in the Met Office 1D-Var system

19 citations · 41 across the 5 of their papers we have counts for

collaborators

6 papers

physics.ao-ph2023

On methods for assessment of the influence and impact of observations in convection-permitting numerical weather prediction

Guannan Hu, Sarah L. Dance, Alison Fowler +11

In numerical weather prediction (NWP), a large number of observations are used to create initial conditions for weather forecasting through a process known as data assimilation. An…

math.NA2021★ 9 cited

Efficient computation of matrix-vector products with full observation weighting matrices in data assimilation

Guannan Hu, Sarah L. Dance

Recent studies have demonstrated improved skill in numerical weather prediction via the use of spatially correlated observation error covariance information in data assimilation sy…

physics.ao-ph2021★ 3 cited

Exploring the characteristics of a vehicle-based temperature dataset for convection-permitting numerical weather prediction

Zackary Bell, Sarah L Dance, Joanne A Waller

Crowdsourced vehicle-based observations have the potential to improve forecast skill in convection-permitting numerical weather prediction (NWP). The aim of this paper is to explor…

math.NA2020★ 10 cited

New bounds on the condition number of the Hessian of the preconditioned variational data assimilation problem

Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless +2

Data assimilation algorithms combine prior and observational information, weighted by their respective uncertainties, to obtain the most likely posterior of a dynamical system. In…

physics.ao-ph2019★ 19 cited

The impact of using reconditioned correlated observation error covariance matrices in the Met Office 1D-Var system

Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless +4

Recent developments in numerical weather prediction have led to the use of correlated observation error covariance (OEC) information in data assimilation and forecasting systems. H…

math.OC2018

Improving the condition number of estimated covariance matrices

Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless +2

High dimensional error covariance matrices and their inverses are used to weight the contribution of observation and background information in data assimilation procedures. As obse…