The theoretical impact of remotely sensed sea surface salinity observations in a multi-variate assimilation system

Brassington, Gary B.; Divakaran, Prasanth

doi:10.1016/j.ocemod.2008.12.005

Cited by 14 publications

(5 citation statements)

References 13 publications

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“…They conclude that the level of observation error will have a critical impact on the value of this new observation type to GODAE systems. This is consistent with those of [21] who assessed the theoretical impact of SSS observations on an ensemblebased data assimilation system. Several different techniques have been used together with GODAE systems to contribute to the design of ocean observation programs.…”

Section: Observing System Simulation Experimentssupporting

confidence: 91%

“…One recurring result from different OSEs includes the apparent complimentary nature of different observation types [19,18,21,2]. This means that none of the observation types in the GOOS is redundant.…”

Section: Discussionmentioning

confidence: 99%

“…The impact of new observation types, like surface salinity observations, has also been assessed, with promising results [20,21].…”

Section: Discussionmentioning

confidence: 99%

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Observational Requirements of GODAE Systems

Oke

2010

Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society

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Global ocean forecast systems, developed under the Global Ocean Data Assimilation Experiment (GODAE), can be used to assess the impact of different components of the Global Ocean Observing System (GOOS). GODAE systems can be exploited to help identify observational gaps and to ultimately improve the efficiency and effectiveness of the GOOS for constraining ocean models for ocean prediction and reanalysis. Many tools are currently being used by the GODAE community to evaluate the GOOS. Observing System Experiments, where different components of the GOOS are systematically with-held, can help quantify the extent to which the skill of a model depends on each observation type. Various other techniques, including observing system simulation experiments, adjoint-and ensemble-based approaches, can be used to aid the design and evaluation of ocean observing systems. A suite of examples using these methods to evaluate the GOOS from a GODAE perspective are presented in this paper. Also included in this paper is a proposed plan to move these activities towards routine monitoring of the GOOS using operational GODAE systems.

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Section: Observing System Simulation Experimentssupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

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Observational Requirements of GODAE Systems

Oke

2010

Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society

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“…They concluded that the level of observation error is critical to the impact of this new observation type, consistent with the result of [105] which assessed the theoretical impact of SSS observations.…”

Section: 2supporting

confidence: 68%

Synthesis and Assimilation Systems - Essential Adjuncts to the Global Ocean Observing System

Rienecker

Awaji

Balmaseda

et al. 2010

Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society

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“…OSS is a critical indicator of many biogeochemical and physical processes and circulation patterns of coastal and ocean waters [47]. OSS supports studying water constituent alterations and the freshwater and offshore coastal oceanic water mixture.…”

Section: ) Ocean Surface Salinity (Oss)mentioning

confidence: 98%

Remote Sensing Systems for Ocean: A Review (Part 1: Passive Systems)

Amani¹,

Ghorbanian

Asgarimehr

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Reliable, accurate, and timely information about oceans is important for many applications, including water resource management, hydrological cycle monitoring, environmental studies, agricultural and ecosystem health applications, economy, and the overall health of the environment. In this regard, Remote Sensing (RS) systems offer exceptional advantages for mapping and monitoring various oceanographic parameters with acceptable temporal and spatial resolutions over the oceans and coastal areas. So far, different methods have been developed to study oceans using various RS systems. This urges the necessity of having review studies that comprehensively discuss various RS systems, including passive and active sensors, and their advantages and limitations for ocean applications. In this paper, the goal is to review most remote sensing systems and approaches that have been worked on marine applications. This review paper is divided into two parts. Part 1 is dedicated to the passive RS systems for ocean studies. As such, four primary passive systems, including optical, Thermal Infrared (TIR) radiometers, microwave radiometers, and Global Navigation Satellite Systems (GNSS), are comprehensively discussed. Additionally, this paper summarizes the main passive RS sensors and satellites, which have been utilized for different oceanographic applications. Finally, various oceanographic parameters, which can be retrieved from the data acquired by passive RS systems, along with the corresponding methods, are discussed.

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The theoretical impact of remotely sensed sea surface salinity observations in a multi-variate assimilation system

Cited by 14 publications

References 13 publications

Observational Requirements of GODAE Systems

Observational Requirements of GODAE Systems

Synthesis and Assimilation Systems - Essential Adjuncts to the Global Ocean Observing System

Remote Sensing Systems for Ocean: A Review (Part 1: Passive Systems)

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