Emerging ocean observations for interdisciplinary data assimilation systems

@article{Dickey2003EmergingOO,
  title={Emerging ocean observations for interdisciplinary data assimilation systems},
  author={Tommy D. Dickey},
  journal={Journal of Marine Systems},
  year={2003},
  volume={40},
  pages={5-48}
}
  • T. Dickey
  • Published 1 April 2003
  • Environmental Science
  • Journal of Marine Systems

Figures from this paper

Interdisciplinary oceanographic observations: the wave of the future
TLDR
In this essay, recent technological progress for solving some key oceanographic problems are reviewed and some of the foreseeable challenges and opportunities of ocean science technologies and their applications are highlighted.
Optical oceanography: Recent advances and future directions using global remote sensing and in situ observations
The present review describes progress in addressing and solving several fundamental and applied problems involving optical oceanography. These problems include: primary productivity, ecosystem
Acoustic Data Assimilation: Concepts and Examples
The ocean is a complicated hydro-dynamic system, showing various interdisciplinary processes of multiple interactive scales. Such processes as internal waves, eddies, and fronts make the ocean
In-Situ Ocean Observing System
Ocean Observing systems consist of in-situ and satellite based technique to detect, track, and predict changes in physical, chemical, geological and biological processes. In-situ observing systems
Advanced optical technologies for phytoplankton discrimination : application in adaptive ocean sampling networks
There is a lack on ocean dynamics understanding, and that lead oceanographers to the need of acquiring more reliable data to study ocean characteristics. Oceanographic measurements are difficult and
Reduced order modeling for stochastic prediction and data assimilation onboard autonomous platforms at sea
TLDR
It is found that Dynamic Mode Decomposition (DMD), a data-driven dimensionality reduction algorithm, can be used for accurate predictions for short periods in ocean environments and could be readily applied onboard autonomous platforms.
Lagoon of Venice ecosystem: Seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation
[1] An ensemble data assimilation scheme, Error Subspace Statistical Estimation (ESSE), is utilized to investigate the seasonal ecosystem dynamics of the Lagoon of Venice and provide guidance on the
Intercomparisons of High‐Resolution Global Ocean Analyses: Evaluation of A New Synthesis in Tropical Oceans
A new high-resolution global analysis product is constructed from a fully coupled surface wave-tide-circulation Ocean Model developed by the First Institute of Oceanography Coupled Ocean Model
New Discoveries Enabled by the Emergence of High‐Resolution, Long‐Term Interdisciplinary Ocean Observations
  • T. Dickey
  • Environmental Science
    Perspectives of Earth and Space Scientists
  • 2020
This review describes the author's path leading toward a career in science and four decades of experiences. Some of the important people influencing my intellectual development are mentioned.
...
...

References

SHOWING 1-10 OF 214 REFERENCES
Data Assimilation for Coastal Observing Systems
Introduct ion Data assimilation is the process of combining our knowledge of a system, including both observations and dynamics, to produce estimates of the state of a system. The state of a system,
Data assimilation in meteorology and oceanography
ASSIMILATION FOR MODELING AND PREDICTING COUPLED PHYSICAL – BIOLOGICAL INTERACTIONS IN THE SEA
Data assimilation is a modern methodology of relating natural data and dynamical models. The general dynamics of a model is combined or melded with a set of observations. All dynamical models are to
A data assimilative marine ecosystem model of the central equatorial Pacific: Numerical twin experiments
A five-component, data assimilative marine ecosystem model is developed for the high-nutrient low-chlorophyll region of the central equatorial Pacific (ON, 140W). Identical twin experiments, in which
Major challenges confronting marine biogeochemical modeling
Substantial improvements are required in the current suite of numerical models if we are to better understand the present ocean biogeochemical state and predict potential future responses to
Global ocean modeling and state estimation in support of climate research
During the last decade it has become obvious that the ocean circulation shows vigorous variability on a wide range of time and space scales and that the concept of a "sluggish" and slowly varying
ARGO: The Global Array of Profiling Floats
The Argo network of autonomous profiling floats will provide the first global views of the time-varying temperature (T) and salinity (S) fields of the upper ocean. Argo will serve a broad community
Mesoscale and upper ocean variabilities during the 1989 JGOFS bloom study
...
...