Peter Lean
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View article: Using data assimilation tools to dissect GraphDOP
Using data assimilation tools to dissect GraphDOP Open
The Data Assimilation (DA) community has been developing various diagnostics to understand the importance of the observing system in accurately forecasting the weather. They usually rely on the ability to compute the derivatives of the phy…
View article: GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations
GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations Open
We introduce GraphDOP, a new data-driven, end-to-end forecast system developed at the European Centre for Medium-Range Weather Forecasts (ECMWF) that is trained and initialised exclusively from Earth System observations, with no physics-ba…
View article: Data driven weather forecasts trained and initialised directly from observations
Data driven weather forecasts trained and initialised directly from observations Open
Skilful Machine Learned weather forecasts have challenged our approach to numerical weather prediction, demonstrating competitive performance compared to traditional physics-based approaches. Data-driven systems have been trained to foreca…
View article: Towards a machine learning model for data assimilation and forecasting directly trained from observations
Towards a machine learning model for data assimilation and forecasting directly trained from observations Open
State-of-the-art data assimilation systems, such as the 4DVar system of the European Centre for Medium-Range Weather Forecasts (ECMWF), are highly successful in producing state estimates of the atmosphere constrained by millions of observa…
View article: Continuous data assimilation for global numerical weather prediction
Continuous data assimilation for global numerical weather prediction Open
A new configuration of the European Centre for Medium‐Range Weather Forecasts (ECMWF) incremental 4D‐Var data assimilation (DA) system is introduced which builds upon the quasi‐continuous DA concept proposed in the mid‐1990s. Rather than w…
View article: Nonlinear effects in 4D-Var
Nonlinear effects in 4D-Var Open
The ability of a data assimilation system to deal effectively with nonlinearities arising from the prognostic model or the relationship between the control variables and the available observations has received a lot of attention in theoret…
View article: Nonlinear effects in 4D-Var
Nonlinear effects in 4D-Var Open
The ability of a data assimilation system to deal effectively with nonlinearities arising from the prognostic model or the relationship between the control variables and the available observations has received a lot of attention in theoret…