Ocean Observations to Improve Our Understanding, Modeling, and Forecasting of Subseasonal-to-Seasonal Variability

Ocean Observations to Improve Our Understanding, Modeling, and Forecasting of Subseasonal-to-Seasonal Variability

Subseasonal-to-seasonal (S2S) forecasts have the potential to provide advance information about weather and climate events. The high heat capacity of water means that the subsurface ocean stores and re-releases heat (and other properties) and is an important source of information for S2S forecasts....

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Bibliographic Details
Main Authors: Aneesh C. Subramanian, Magdalena A. Balmaseda, Luca Centurioni, Rajib Chattopadhyay, Bruce D. Cornuelle, Charlotte DeMott, Maria Flatau, Yosuke Fujii, Donata Giglio, Sarah T. Gille, Thomas M. Hamill, Harry Hendon, Ibrahim Hoteit, Arun Kumar, Jae-Hak Lee, Andrew J. Lucas, Amala Mahadevan, Mio Matsueda, SungHyun Nam, Shastri Paturi, Stephen G. Penny, Adam Rydbeck, Rui Sun, Yuhei Takaya, Amit Tandon, Robert E. Todd, Frederic Vitart, Dongliang Yuan, Chidong Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Marine Science
Subjects:
subseasonal
seasonal
predictions
air–sea interaction
satellite
Argo
Online Access:https://www.frontiersin.org/article/10.3389/fmars.2019.00427/full

Internet

https://www.frontiersin.org/article/10.3389/fmars.2019.00427/full

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