Survey of data assimilation methods for convective‐scale numerical weather prediction at operational centres
N Gustafsson, T Janjić, C Schraff… - Quarterly Journal of …, 2018 - Wiley Online Library
Data assimilation (DA) methods for convective‐scale numerical weather prediction at
operational centres are surveyed. The operational methods include variational methods (3D …
operational centres are surveyed. The operational methods include variational methods (3D …
On the representation error in data assimilation
Representation, representativity, representativeness error, forward interpolation error,
forward model error, observation‐operator error, aggregation error and sampling error are …
forward model error, observation‐operator error, aggregation error and sampling error are …
Improvements in forecasting intense rainfall: Results from the FRANC (Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of …
The FRANC project (Forecasting Rainfall exploiting new data Assimilation techniques and
Novel observations of Convection) has researched improvements in numerical weather …
Novel observations of Convection) has researched improvements in numerical weather …
Recommendations for improving integration in national end-to-end flood forecasting systems: An overview of the FFIR (Flooding From Intense Rainfall) programme
DLA Flack, CJ Skinner, L Hawkness-Smith… - Water, 2019 - mdpi.com
Recent surface-water and flash floods have caused millions of pounds worth of damage in
the UK. These events form rapidly and are difficult to predict due to their short-lived and …
the UK. These events form rapidly and are difficult to predict due to their short-lived and …
Progress, challenges, and future steps in data assimilation for convection‐permitting numerical weather prediction: Report on the virtual meeting held on 10 and 12 …
Abstract In November 2021, the Royal Meteorological Society Data Assimilation (DA)
Special Interest Group and the University of Reading hosted a virtual meeting on the topic of …
Special Interest Group and the University of Reading hosted a virtual meeting on the topic of …
Theoretical insight into diagnosing observation error correlations using observation‐minus‐background and observation‐minus‐analysis statistics
To improve the quantity and impact of observations used in data assimilation, it is necessary
to take into account the full, potentially correlated, observation error statistics. A number of …
to take into account the full, potentially correlated, observation error statistics. A number of …
Diagnosing atmospheric motion vector observation errors for an operational high‐resolution data assimilation system
Atmospheric motion vectors (AMVs) are wind observations derived by tracking cloud or
water‐vapour features in consecutive satellite images. These observations are incorporated …
water‐vapour features in consecutive satellite images. These observations are incorporated …
Diagnosing horizontal and inter-channel observation error correlations for SEVIRI observations using observation-minus-background and observation-minus-analysis …
It has been common practice in data assimilation to treat observation errors as uncorrelated;
however, meteorological centres are beginning to use correlated inter-channel observation …
however, meteorological centres are beginning to use correlated inter-channel observation …
On the interaction of observation and prior error correlations in data assimilation
The importance of prior error correlations in data assimilation has long been known;
however, observation‐error correlations have typically been neglected. Recent progress has …
however, observation‐error correlations have typically been neglected. Recent progress has …
Sampling and misspecification errors in the estimation of observation‐error covariance matrices using observation‐minus‐background and observation‐minus …
Abstract Specification of the observation‐error covariance matrix for data assimilation
systems affects the observation information content retained by the analysis, particularly for …
systems affects the observation information content retained by the analysis, particularly for …