scholarly journals On the geographical distribution and physical characteristics of the coal-fields of the North Pacific Ocean

1870 ◽  
Vol 1 (3) ◽  
pp. 305-325
Author(s):  
R. Brown
Keyword(s):  
Pacific Ocean ◽  
Geographical Distribution ◽  
North Pacific ◽  
North Pacific Ocean ◽  
Physical Characteristics ◽  
The North ◽  
The North Pacific ◽  
Coal Fields

Palmaria hecatensis sp. nov. (Rhodophyta, Palmariales) from British Columbia and Alaska with a survey of other Palmaria species

1985 ◽  
Vol 63 (3) ◽  
pp. 474-482 ◽  
Author(s):  
Michael W. Hawkes
Keyword(s):  
British Columbia ◽  
Pacific Ocean ◽  
Geographical Distribution ◽  
North Pacific ◽  
North Pacific Ocean ◽  
Aleutian Islands ◽  
Rocky Shores ◽  
Intertidal Zones ◽  
The North ◽  
The North Pacific

Palmaria hecatensis sp. nov. is described based on material from northern British Columbia. Male gametophytes and tetrasporophytes are thick, coriaceous, flattened blades, linear to lobed in habit and arise from an extensive encrusting basal holdfast. Putative female gametophytes are microscopic multicellular discs. Palmaria hecatensis grows on rocky shores in the midintertidal to lower intertidal zones and has a known geographical distribution from Nootka Island, Vancouver Island, B.C., to Shemya Island in the Aleutian Islands, Alaska. Palmaria hecatensis is compared with other species in the genus and, in addition, another distinctive (and possibly undescribed) Palmaria species from British Columbia and Alaska is discussed, bringing the total number of Palmaria species reported in the North Pacific Ocean to six.

scholarly journals XXXIII.—The Alcyonarians of the Scottish National Antarctic Expedition

1906 ◽  
Vol 41 (3) ◽  
pp. 851-860 ◽  
Author(s):  
J. Arthur Thomson ◽  
James Ritchie
Keyword(s):  
New Species ◽  
Pacific Ocean ◽  
Geographical Distribution ◽  
North Pacific ◽  
North Pacific Ocean ◽  
The North ◽  
Antarctic Expedition ◽  
St Helena ◽  
The North Pacific ◽  
Burdwood Bank

The Aleyonarians collected by Mr W. S. Bruce on the Scotia voyage represent nine species—six of which are new, namely:—Primnoisis ramosa, n. sp.Thonarella brucci, n. sp.Amphilaphis regularis, Wright and Studer.Primnoella scotiæ, n. sp.Primnoella magellanica, Studer.Paramuricea robusta, n. sp.Gorgonia wrighti, n. sp.Gorgonia studeri, n. sp.Umbellula durissima, Kölliker.Apart from the six new species, the collection is of interest in extending our knowledge of the geographical distribution of previously recorded forms. Thus Amphilaphis regularis, Wright and Studer, previously collected off Inaccessible Island, Tristan da Cunha, and off Nightingale Island, was got in abundance off St Helena; Primnoella magellanica, Studer, previously collected off Monte Video and in the Magellan Straits, was obtained at Burdwood Bank 54° 25′ S., 57° 32′ W.; while Umbellula durissima, Wright and Studer, previously obtained by the Challenger from the North Pacific Ocean, south of Yeddo, was found by the Scotia at 48° 06′ S., 10° 5′ W.

scholarly journals Neural Network Approach to Retrieving Ocean Subsurface Temperatures from Surface Parameters Observed by Satellites

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 388
Author(s):  
Hao Cheng ◽  
Liang Sun ◽  
Jiagen Li
Keyword(s):  
Neural Network ◽  
Pacific Ocean ◽  
North Pacific ◽  
North Pacific Ocean ◽  
Sea Surface ◽  
Satellite Measurements ◽  
Surface Parameters ◽  
The North ◽  
The North Pacific ◽  
Bpnn Model

The extraction of physical information about the subsurface ocean from surface information obtained from satellite measurements is both important and challenging. We introduce a back-propagation neural network (BPNN) method to determine the subsurface temperature of the North Pacific Ocean by selecting the optimum input combination of sea surface parameters obtained from satellite measurements. In addition to sea surface height (SSH), sea surface temperature (SST), sea surface salinity (SSS) and sea surface wind (SSW), we also included the sea surface velocity (SSV) as a new component in our study. This allowed us to partially resolve the non-linear subsurface dynamics associated with advection, which improved the estimated results, especially in regions with strong currents. The accuracy of the estimated results was verified with reprocessed observational datasets. Our results show that the BPNN model can accurately estimate the subsurface (upper 1000 m) temperature of the North Pacific Ocean. The corresponding mean square errors were 0.868 and 0.802 using four (SSH, SST, SSS and SSW) and five (SSH, SST, SSS, SSW and SSV) input parameters and the average coefficients of determination were 0.952 and 0.967, respectively. The input of the SSV in addition to the SSH, SST, SSS and SSW therefore has a positive impact on the BPNN model and helps to improve the accuracy of the estimation. This study provides important technical support for retrieving thermal information about the ocean interior from surface satellite remote sensing observations, which will help to expand the scope of satellite measurements of the ocean.

scholarly journals Nursery origin and population connectivity of swordfish Xiphias gladius in the North Pacific Ocean

2021 ◽  
Author(s):  
R. J. David Wells ◽  
Veronica A. Quesnell ◽  
Robert L. Humphreys ◽  
Heidi Dewar ◽  
Jay R. Rooker ◽  
...  
Keyword(s):  
Pacific Ocean ◽  
North Pacific ◽  
North Pacific Ocean ◽  
Population Connectivity ◽  
The North ◽  
Xiphias Gladius ◽  
The North Pacific
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