Yellow Sea Thermal Structure

Yellow Sea Thermal Structure PDF Author: Charles R. Fralick
Publisher:
ISBN:
Category : Marine meteorology
Languages : en
Pages : 110

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Book Description
There exists a need in the oceanography community to be able to produce climatologies of remote or poorly sampled shallow water areas through remote sensing techniques. Our goal was to construct a three-dimensional thermal structure of the Yellow Sea based primarily upon sea surface temperature data. The ability to do this successfully could lead the way to applying these techniques elsewhere using remotely sensed SST. The shallow water and dynamic conditions of the Yellow Sea made it an ideal study area. The large MOODS observational data set for the area provided us with 15,000 observations from 1929 to 1991. For the winter months we used regression techniques on the predominantly well-mixed, vertically isothermal profiles with excellent results. For the summer we applied a Feature Model which extracted physically significant depths and gradients from the observations. These modeled data were statistically compared with mixed results indicating little link between SST and mixed-layer depth but good correlation between SST and thermocline gradient. We believe interannual variability and significant sampling errors in our data contributed to our mixed results. Overall, we feel our approach is robust and has potential for further applications providing data quality issues are addressed.

Yellow Sea Thermal Structure

Yellow Sea Thermal Structure PDF Author: Charles R. Fralick
Publisher:
ISBN:
Category : Marine meteorology
Languages : en
Pages : 110

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Book Description
There exists a need in the oceanography community to be able to produce climatologies of remote or poorly sampled shallow water areas through remote sensing techniques. Our goal was to construct a three-dimensional thermal structure of the Yellow Sea based primarily upon sea surface temperature data. The ability to do this successfully could lead the way to applying these techniques elsewhere using remotely sensed SST. The shallow water and dynamic conditions of the Yellow Sea made it an ideal study area. The large MOODS observational data set for the area provided us with 15,000 observations from 1929 to 1991. For the winter months we used regression techniques on the predominantly well-mixed, vertically isothermal profiles with excellent results. For the summer we applied a Feature Model which extracted physically significant depths and gradients from the observations. These modeled data were statistically compared with mixed results indicating little link between SST and mixed-layer depth but good correlation between SST and thermocline gradient. We believe interannual variability and significant sampling errors in our data contributed to our mixed results. Overall, we feel our approach is robust and has potential for further applications providing data quality issues are addressed.

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 548

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Book Description


P-Vector Inverse Method

P-Vector Inverse Method PDF Author: Peter C. Chu
Publisher: Springer Science & Business Media
ISBN: 354033386X
Category : Science
Languages : en
Pages : 610

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Book Description
A major task for physical oceanographers is to determine the movement of oceanic water from observations. This book introduces the P-vector inverse method, with a two-step determination of the velocity from hydrographic data. The book provide insights into the basics of the P-vector inverse method and the features of the inverted global and regional ocean circulations. Upper undergraduate and graduate students as well as oceanographers, marine biologists and other environmental scientists will find this book a valuable tool for their studies.

Deep Learning for Marine Science

Deep Learning for Marine Science PDF Author: Haiyong Zheng
Publisher: Frontiers Media SA
ISBN: 2832549055
Category : Science
Languages : en
Pages : 555

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Book Description
Deep learning (DL), mainly composed of deep and complex neural networks such as recurrent network and convolutional network, is an emerging research branch in the field of artificial intelligence and machine learning. DL revolution has a far-reaching impact on all scientific disciplines and every corner of our lives. With continuing technological advances, marine science is entering into the big data era with the exponential growth of information. DL is an effective means of harnessing the power of big data. Combined with unprecedented data from cameras, acoustic recorders, satellite remote sensing, and large model outputs, DL enables scientists to solve complex problems in biology, ecosystems, climate, energy, as well as physical and chemical interactions. Although DL has made great strides, it is still only beginning to emerge in many fields of marine science, especially towards representative applications and best practices for the automatic analysis of marine organisms and marine environments. DL in nowadays' marine science mainly leverages cutting-edge techniques of deep neural networks and massive data which collected by in-situ optical or acoustic imaging sensors for underwater applications, such as plankton classification and coral reef detection. This research topic aims to expand the applications of marine science to cover all aspects of detection, classification, segmentation, localization, and density estimation of marine objects, organisms, and phenomena.

Hydroinformatics, Proceedings Of The 6th International Conference (In 2 Volumes, With Cd-rom)

Hydroinformatics, Proceedings Of The 6th International Conference (In 2 Volumes, With Cd-rom) PDF Author: Shie-yui Liong
Publisher: World Scientific
ISBN: 9814483028
Category : Technology & Engineering
Languages : en
Pages : 2073

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Book Description
Hydroinformatics addresses cross-disciplinary issues ranging from technological and sociological to more general environmental concerns, including an ethical perspective. It covers the application of information technology in the widest sense to problems of the aquatic environment.This two-volume publication contains about 250 high quality papers contributed by authors from over 50 countries. The proceedings present many exciting new findings in the emerging subjects, as well as their applications, such as: data mining, data assimilation, artificial neural networks, fuzzy logic, genetic algorithms and genetic programming, chaos theory and support vector machines, geographic information systems and virtual imaging, decision support and management systems, Internet-based technologies.This book provides an excellent reference to researchers, graduate students, practitioners, and all those interested in the field of hydroinformatics.

EMIS 2023

EMIS 2023 PDF Author: Luning Liu
Publisher: European Alliance for Innovation
ISBN: 1631904051
Category : Technology & Engineering
Languages : en
Pages : 939

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Book Description
This volume contains the papers presented at the 2nd International Conference on Engineering Management and Information Science (EMIS 2023), held during December 24th-26th, 2023 (virtual event). With the theme of “bringing together global wisdom in scientific innovation to promote high-quality development”, the immediate purpose of this Conference was to gather experienced as well as young scientists who are interested in working actively on various aspects of engineering management and information science to drive development. The major topics covered in the Conference are: Project Management Information System, Logistics Information System, Intelligent Transportation Engineering, Passwords and Security Systems, Numerical Algorithms for Computers, Innovative Network Systems and Applications, Knowledge Acquisition and Management, etc... Here, scholars, experts, and researchers are welcomed to share their research progress and inspirations. It is a great opportunity to promote academic communication and collaboration worldwide.

Geophysical Abstracts ...

Geophysical Abstracts ... PDF Author:
Publisher:
ISBN:
Category : Geophysics
Languages : en
Pages : 876

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Oceanic Abstracts

Oceanic Abstracts PDF Author:
Publisher:
ISBN:
Category : Marine biology
Languages : en
Pages : 1070

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A Summary of Research 1995

A Summary of Research 1995 PDF Author: United States. Naval Postgraduate School, Monterey, CA.
Publisher:
ISBN:
Category : Military research
Languages : en
Pages : 588

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Catalogue of Accessioned Publications

Catalogue of Accessioned Publications PDF Author: World Data Center A--Oceanography
Publisher:
ISBN:
Category : Oceanography
Languages : en
Pages : 452

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Book Description