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Wyszukujesz frazę "Ocean Wave Data" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Outlier detection in ocean wave measurements by using unsupervised data mining methods
Autorzy:
Mahmoodi, K.
Ghassemi, H.
Powiązania:
https://bibliotekanauki.pl/articles/260330.pdf
Data publikacji:
2018
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
ocean wave data
data mining
outlier detection
data correction
Opis:
Outliers are considerably inconsistent and exceptional objects in the data set that do not adapt to expected normal condition. An outlier in wave measurements may be due to experimental and configuration errors, technical defects in equipment, variability in the measurement conditions, rare or unknown conditions such as tsunami, windstorm and etc. To improve the accuracy and reliability of an built ocean wave model, or to extract important and valuable information from collected wave data, detecting of outlying observations in wave measurements is very important. In this study, three typical outlier detection algorithms:Box-plot (BP), Local Distance-based Outlier Factor (LDOF), and Local Outlier Factor (LOF) methods are used to detect outliers in significant wave height (Hs) records. The historical wave data are taken from National Data Buoy Center (NDBC). Finally, those data points are considered as outlier identified by at least two methods which are presented and discussed. Then, Hs prediction has been modelled with and without the presence of outliers by using Regression trees (RTs).
Źródło:
Polish Maritime Research; 2018, 1; 44-50
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of master’s route selection criteria of vehicle carriers in North Pacific and North Atlantic using satellite AIS and Ocean wave data
Autorzy:
Fujii, M.
Hashimoto, H.
Taniguchi, Y.
Powiązania:
https://bibliotekanauki.pl/articles/116274.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
AIS Assisted Services
Route Selection
Route Selection Criteria
Satellite AIS
Ocean Wave Data
Automatic Identification System (AIS)
North Pacific
North Atlantic
Opis:
The operational measures in which a ship needs to avoid specified areas to escape ship stability failures were discussed at the International Maritime Organization as a part of the second generation intact stability criteria. It is necessary that the rationality and practicality of the operational measures are carefully investigated. In this study, master’s route decision-making criteria of trans-ocean vehicle carriers have been clarified by comparing the Pacific and the Atlantic data, derived from Satellite AIS and ocean wave data. Features of voyage routes of each ocean were discussed, followed by analysis of the encountered wave direction and height during a voyage. The master’s route selection criteria were defined by comparing the probability densities of the wave heights that occurred in the navigable area and that of the actual encountered waves. The navigation hours in a stormy area were also studied.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 1; 137-141
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Marine parameters from radar satellite data
Autorzy:
Lehner, S.
Schulz-Stellenfleth, J.
Horstmann, J.
Powiązania:
https://bibliotekanauki.pl/articles/241032.pdf
Data publikacji:
2001
Wydawca:
Polska Akademia Nauk. Instytut Budownictwa Wodnego PAN
Tematy:
marine parameters
radar satellite data
oceanographic data
wind
ocean wave fields
Opis:
In 2001 the European Space Agency ESA will launch the earth observation satellite ENVISAT. It will carry several instruments that provide new opportunities to measure oceanographic variabIes. These are the Advanced Synthetic Aperture Radar (ASAR), the Radar Altimeter (RA), the Medium Resolution Imaging Spectrometer (MERIS) and the Advanced Along-Track Scanning Radiometer (AATSR). Together, they rep-resent the main measurement techniques of satellite oceanography, and complement each other perfectly. These instruments are to be used in synergy to: ź improve the analysis of measured wind and ocean wave fields, and thereby improve weather forecasting at weather centers; ź determine the extent and variables of sea ice and develop a five-day sea ice prediction model, to support maritime shipping and offshore activities; ź monitor map sediment and suspended matter transport in coastal regions, especially in areas with large river estuaries, which greatly affects shipping lanes, harbours, and dredging activities; ź monitor hydrobiological and bio-geochemical variables related to water quality in coastal regions and large inland waters, which affects ecology, coastal development, aquaculture, drinking water supplies, and tourism. To prepare the oceanographic community to make best use of the ENVISAT sensors in the pre-Iaunch phase, existing algorithms to derive marine parameters are used and validated using data from the ERS SAR, the ERS RA, Sea WiFS, and IRS MOS sensors now in operation. Derived products, which include wind field, sea state, sea level, sea surface temperature and concentrations of water constituents, are used to address problems that can be tackled best using the synergy of radar and optical data, such as the effect of surface slicks on radar wind measurements, sea state on ocean color, wind and waves on the resuspension of suspended matter, and wind and waves on sea ice variabIes.
Źródło:
Archives of Hydro-Engineering and Environmental Mechanics; 2001, 48, 2; 17-29
1231-3726
Pojawia się w:
Archives of Hydro-Engineering and Environmental Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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