2012
DOI: 10.1007/s10236-012-0526-8
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Quantifying, predicting, and exploiting uncertainties in marine environments

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Cited by 6 publications
(2 citation statements)
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“…It has been used around the world's oceans [49,57,68,23,19,71,6,37,50,52,55]. Applications include monitoring [53]; real-time acoustic predictions and DA [85,43,56,13]; environmental predictions and management [3,7,8]; relocatable rapid response [74,12]; path planning for autonomous vehicles [76,60,59,54]; and, adaptive sampling [48,28,29]. MSEAS has been tested and validated in many real-time forecasting exercises [49,19,71,56,20,51,1,50,52,55,69].…”
Section: A Ocean Modelingmentioning
confidence: 99%
“…It has been used around the world's oceans [49,57,68,23,19,71,6,37,50,52,55]. Applications include monitoring [53]; real-time acoustic predictions and DA [85,43,56,13]; environmental predictions and management [3,7,8]; relocatable rapid response [74,12]; path planning for autonomous vehicles [76,60,59,54]; and, adaptive sampling [48,28,29]. MSEAS has been tested and validated in many real-time forecasting exercises [49,19,71,56,20,51,1,50,52,55,69].…”
Section: A Ocean Modelingmentioning
confidence: 99%
“…Accurate predictions would also benefit from coupled physical-ocean and acoustics data assimilation [14]. In addition to deterministic field estimates, such efforts often require uncertainty predictions [15][16][17].…”
Section: Introductionmentioning
confidence: 99%