EnKF is a data assimilation method invented and continuously developed by researchers at the Norwegian Research Centre (NORCE). In the past two decades, EnKF and its related methods have been established as a school of viable and popular methods for data assimilation in very large models, and have made immense impacts on the advancements of various disciplines and promoted value creations for relevant industries.
Although the basic concept of EnKF and its related methods is straightforward, successful practical
implementations often require modifications that are problem-specific. By bringing together experts from diverse areas, we aim to explore the bases and connections among EnKF-related methods that are proven to work in different environments, so that the resulting applications are more robust and efficient. Other than the aspect of practical applications, this workshop also aims to exchange and communicate novel research ideas, methods, algorithms and/or workflows that have the potential of further improving the performance of EnKF and its related methods.
The first EnKF workshop took place in Voss (Norway) in 2006. Since then, the EnKF workshop has been held annually (except for a disruption in 2020 due to COVID-19). The EnKF workshop has always accommodated participants coming from diverse scientific disciplines (e.g., meteorology, oceanography, hydrology, to name a few). The communication and exchange of scientific progresses and advancements have led to even more fruitful discussions and raised the scientific quality of the workshop to a very high level. As such, the annual international EnKF workshop has now become one of the most influential events within the data assimilation community.