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Opportunities for enhanced collaboration within the data assimilation community
Author(s) -
McLaughlin Dennis,
O'Neill Alan,
Derber John,
Kamachi Masafumi
Publication year - 2005
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1256/qj.05.89
Subject(s) - data assimilation , scope (computer science) , visibility , computer science , assimilation (phonology) , data science , field (mathematics) , environmental science , meteorology , geography , linguistics , philosophy , mathematics , pure mathematics , programming language
Recent advances in sensor technology, telecommunications and computation open up new possibilities for the application of data assimilation concepts across the Earth sciences. As a result, the data assimilation community is expanding beyond meteorology and oceanography to include representatives from climatology, hydrology, atmospheric chemistry, ecology and other disciplines. This development offers new opportunities for collaboration between the operational and research sides of the community. Opportunities exist not only in traditional forecasting applications, but also in areas such as reanalysis, model diagnosis, development of new model parametrizations, and observing‐system design. Disciplinary scientists from outside the traditional data assimilation community are starting to appreciate that data assimilation can provide an integrated view of earth processes over a range of time and space scales. Operational data assimilation groups have special expertise and capabilities that are needed by newcomers to the field. If the scope of the operational community expands to include a wider range of applications, the entire field will likely benefit from new ideas, new resources, and increased visibility and recognition. Copyright © 2005 Royal Meteorological Society