WWRP Data Assimilation & Observing Systems

Working Group on Data Assimilation and Observing Systems (DAOS)


Mission

DAOS aims to advance the optimal use of observations and to drive the development of data assimilation for coupled Earth System models. Currently, DAOS has identified three main research focus areas where the WG can contribute with relevant progress to the overarching WWRP theme of advancing Seamless Prediction in Earth System modelling. These are

  • Coupled data assimilation
  • Machine learning for DA applications
  • Observation impact for existing and future observation systems

DAOS seeks collaboration with universities and research-performing institutions, environmental agencies as well as any kind of education institution interested in using observation data in weather and climate.


Group photo of DAOS and PDEF Joint Working Group Meeting at the University of Reading, UK, in November 2022


Working Group Members

 

Co-chair: Sarah L. Dance, University of Reading, UK

Co-chair: Ulrich Löhnert, University of Cologne, Germany

Rossella Arcucci, Imperial College of London, UK

Thomas Auligné, JCSDA, USA

Sean Healy, ECMWF, UK

Lilli Lei, University of Nanjing, China

Andrew M. Moore, University of California, Santa Cruz, USA

Takemasa Miyoshi, Riken Center for Computational Science, Japan

Juan Ruiz, CIMA-UB, Argentina

 


News

 

 

Open Special Issues

 

Educational/Training Links

@University of Reading

 

Upcoming Events

 

Past Events


Documents