1. Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction
- Author
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Penny, Stephen G, Akella, Santha, Balmaseda, Magdalena A, Browne, Philip, Carton, James A, Chevallier, Matthieu, Counillon, Francois, Domingues, Catia, Frolov, Sergey, Heimbach, Patrick, Hogan, Patrick, Hoteit, Ibrahim, Iovino, Doroteaciro, Laloyaux, Patrick, Martin, Matthew J, Masina, Simona, Moore, Andrew M, de Rosnay, Patricia, Schepers, Dinand, Sloyan, Bernadette M, Storto, Andrea, Subramanian, Aneesh, Nam, SungHyun, Vitart, Frederic, Yang, Chunxue, Fujii, Yosuke, Zuo, Hao, O’Kane, Terry, Sandery, Paul, Moore, Thomas, and Chapman, Christopher C
- Subjects
Earth Resources And Remote Sensing - Abstract
Developments in ocean data assimilation (DA) and observing system technologies are intertwined. New observation types lead to new DA methods, and new DA methods such as Coupled Data Assimilation can change the value of existing observations or indicate where new observations can have greater utility for monitoring and prediction. Practitioners are encouraged to make better use of observations that are already available, for example in strongly coupled data assimilation where ocean observations can be used to improve atmospheric analyses and vice versa. Ocean reanalyses are useful for the analysis of climate,as well as initializing operational long-range prediction models. There are remaining challenges for ocean reanalyses due to biases and abrupt changes in the ocean observing system throughout its history, the presence of biases and drifts in models, and simplifying assumptions made in the DA methods. From a governance point of view, more support is needed to interface the observing community and the ocean DA community. For prediction applications, the ocean DA community must work with the ocean observing community to establish protocols for rapid communication of ocean observing data on NWP timescales. There is potential for new observations to enhance the observing system by supporting prediction on multiple timescales, ranging from the typical timescale of numerical weather prediction covering hours to weeks, out to multiple decades. It is highly encouraged that communication be fostered between thesecommunities to allow operational prediction centers the ability to provide guidance to the design of a sustained and adaptive observing network.
- Published
- 2019
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