About this Research Topic
Capabilities in ocean data assimilation developed over a decade-long project called the Global Ocean Data Assimilation Experiment (GODAE). By the end of GODAE, many countries had established operational ocean forecast systems and mature ocean reanalysis systems. These developments further improved under OceanPredict and are now being extended under several Programs and Projects under the United Nations Ocean Decade, including ForeSea, SynObs, and CoastPredict. This Research Topic is intended to showcase the activities being performed under these projects – all of which share a common goal of predicting our environment to benefit society.
We aim to unite the observing and modelling communities with interests in ocean and coupled forecasting and reanalysis. We wish to promote the optimal use of observations for assimilating systems, with the goal to improve prediction and refine reanalyses. In general, we intend to demonstrate the impact of specific observation types, including satellite and in situ observations of both physical and biogeochemical variables, for data-assimilating systems – including ocean-only and coupled systems.
We invite contributions from the observing and modelling communities with interests in ocean and coupled forecasting and reanalysis. From the observational communities – particularly those involved in Argo, satellite altimetry (including SWOT), and satellite sea surface temperature – we invite explanations of best-practice data use, discussion of observational limitations, and suggestions for metrics to assess assimilating systems. From the modelling and data assimilation communities – particularly from OceanPredict, ForeSea, CLIVAR GSOP, and those performing seasonal prediction – we invite studies that describe observing system experiments, observing system simulation experiments, and related studies that quantify the impact of ocean and atmospheric observations on assimilating systems. Time scales of interest range from hours to decades, including short-range prediction, intraseasonal to seasonal prediction, and multi-year to decadal prediction; and may include forecast of reanalysis systems. We invite studies using both regional and global models, and those focussed on the physical and biogeochemical applications.
We aim to unite the observing and modelling communities with interests in ocean and coupled forecasting and reanalysis. We wish to promote the optimal use of observations for assimilating systems, with the goal to improve prediction and refine reanalyses. In general, we intend to demonstrate the impact of specific observation types, including satellite and in situ observations of both physical and biogeochemical variables, for data-assimilating systems – including ocean-only and coupled systems.
We invite contributions from the observing and modelling communities with interests in ocean and coupled forecasting and reanalysis. From the observational communities – particularly those involved in Argo, satellite altimetry (including SWOT), and satellite sea surface temperature – we invite explanations of best-practice data use, discussion of observational limitations, and suggestions for metrics to assess assimilating systems. From the modelling and data assimilation communities – particularly from OceanPredict, ForeSea, CLIVAR GSOP, and those performing seasonal prediction – we invite studies that describe observing system experiments, observing system simulation experiments, and related studies that quantify the impact of ocean and atmospheric observations on assimilating systems. Time scales of interest range from hours to decades, including short-range prediction, intraseasonal to seasonal prediction, and multi-year to decadal prediction; and may include forecast of reanalysis systems. We invite studies using both regional and global models, and those focussed on the physical and biogeochemical applications.
Keywords: Observing System Evaluation; Observing System Design; Ocean Prediction; Coupled prediction; Ocean Reanalysis
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
