Zobrazeno 1 - 10
of 322
pro vyhledávání: '"William Perrie"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 16, Pp n/a-n/a (2024)
Abstract We show that the winter Beaufort High (BH) index defined by sea level pressure (SLP) has a robust negative trend under the scenarios SSP5‐8.5 and SSP2‐4.5, with a reduction by about 5 hPa and 2 hPa, respectively, by the end of the 21st c
Externí odkaz:
https://doaj.org/article/1757a3930b3543cbaa3d877882f74561
Autor:
Zhi-Ping Mei, Diane Lavoie, Nicolas Lambert, Michel Starr, Joël Chassé, William Perrie, Zhenxia Long
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
The Gulf of St. Lawrence (GSL), along with the St. Lawrence Estuary, is the largest estuarine system in North America. It is a biologically productive sea and an important fishing ground in Canada. The objectives of this study are to determine how cl
Externí odkaz:
https://doaj.org/article/feed95c6b64c460d945a47219e15e5d5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2090-2097 (2024)
Spaceborne synthetic aperture radar (SAR) Doppler shift measurements have been used for remote sensing of ocean surface currents during nonstorm events. However, mapping strong currents under storm conditions is still a challenging and unsolved issue
Externí odkaz:
https://doaj.org/article/3369317eb6444ad496cbade5a3839297
Autor:
Gang Li, Yijun He, Jinghan Wen, Guoqiang Liu, Vladimir Kudryavtsev, Xiaojie Lu, William Perrie
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 5, p 761 (2024)
A long-term time series of 319 Sentinel-1 SAR Imagery with Interferometric Wide Swath (IW) mode was used to study the characteristics of submesoscale eddies over Japanese coastal regions from 2015 to 2021, including spatiotemporal eddy properties and
Externí odkaz:
https://doaj.org/article/da5495e8c0c4484f8b5ce8c807b47ef8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 5514-5525 (2023)
In the era of big data, how to utilize synthetic aperture radar (SAR) and passive microwave radiometer data for better sea ice monitoring by deep-learning technology has recently attracted wide attention. In this article, we first propose a universal
Externí odkaz:
https://doaj.org/article/29c75c0ce75245d0b93f15033280d985
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 515 (2024)
Arctic sea ice detection is very important in global climate research, Arctic ecosystem protection, ship navigation and human activities. In this paper, by combining the co-pol ratio (HH/VV) and two kinds of cross-pol ratio (HV/VV, HV/HH), a novel se
Externí odkaz:
https://doaj.org/article/c01d12d815c24bd681b622b2f9ff3225
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 9, p 1760 (2023)
Physical ocean circulation features, especially the Gaspé Current (GC) intrusion, influence the transport and aggregation of whale prey, thereby influencing the whale foraging habitat in the Gulf of St. Lawrence (GSL), Canada. We employ satellite al
Externí odkaz:
https://doaj.org/article/3250e5c060a44c688d6ef52adf94b79c
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
The two-scale approximation (hereafter, TSA) was previously presented as a new method to approximate and estimate transfer rates in wind – wave spectra. It was shown to perform well for a variety of idealized and observed sea state conditions and t
Externí odkaz:
https://doaj.org/article/5fcb85db15b44452b71dd8afa4912e92
Autor:
Hamid Goharnejad, William Perrie
Publikováno v:
Journal of Hydraulic Structures, Vol 7, Iss 1, Pp 38-58 (2021)
In this paper, the performance of the MIKE21 numerical model in modeling the dispersion and transport of spilt oil related to the Deep-Water Horizon oil platform disaster in the northern part of the Gulf of Mexico is studied. Our model predicts the d
Externí odkaz:
https://doaj.org/article/057fcbefe10b4639a20b7b79ce5f47b1
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2399 (2023)
A new method of sea ice classification based on feature selection from Gaofen-3 polarimetric Synthetic Aperture Radar (SAR) observations was proposed. The new approach classifies sea ice into four categories: open water (OW), new ice (NI), young ice
Externí odkaz:
https://doaj.org/article/6b7965d1ecb24564b980f4d2d59d3312