scholarly journals Remote sensing of capelin and other biological features in the North Pacific using lidar and video technology

2002 ◽  
Vol 59 (5) ◽  
pp. 1120-1130 ◽  
Author(s):  
E Brown
Keyword(s):  
Remote Sensing ◽  
North Pacific ◽  
Video Technology ◽  
Biological Features ◽  
The North ◽  
The North Pacific

scholarly journals Statistical Characteristics of Cyclonic Warm-Core Eddies and Anticyclonic Cold-Core Eddies in the North Pacific Based on Remote Sensing Data

2019 ◽  
Vol 11 (2) ◽  
pp. 208 ◽  
Author(s):  
Wenjin Sun ◽  
Changming Dong ◽  
Wei Tan ◽  
Yijun He
Keyword(s):  
Remote Sensing ◽  
North Pacific ◽  
Kuroshio Extension ◽  
Remote Sensing Data ◽  
Statistical Characteristics ◽  
The North ◽  
Warm Core ◽  
Spatio Temporal ◽  
Cold Core ◽  
The North Pacific

A (an) cyclonic (anticyclonic) eddy is usually associated with a cold (warm) core caused by the eddy-induced divergence (convergence) motion. However, there are also some cyclonic (anticyclonic) eddies with warm (cold) cores in the North Pacific, named cyclonic warm-core eddies (CWEs) and anticyclonic cold-core eddies (ACEs) in this study, respectively. Their spatio-temporal characteristics and regional dependence are analyzed using the multi-satellite merged remote sensing datasets. The CWEs are mainly concentrated in the northwestern and southeastern North Pacific. However, besides these two areas, the ACEs are also concentrated in the northeastern Pacific. The annual mean number decreases year by year for both CWEs and ACEs, and the decreasing rate of the CWEs is about two times as large as that of the ACEs. Moreover, the CWEs and ACEs also exhibit a significant seasonal variation, which are intense in summer and weak in winter. Based on the statistics of dynamic characteristics in seven subregions, the Kuroshio Extension region could be considered as the most active area for the CWEs and ACEs. Two possible mechanisms for CW-ACEs generation are discussed by analyzing two cases.

Oceanographic characteristics of biological hot spots in the North Pacific: A remote sensing perspective

2006 ◽  
Vol 53 (3-4) ◽  
pp. 250-269 ◽  
Author(s):  
Daniel M. Palacios ◽  
Steven J. Bograd ◽  
David G. Foley ◽  
Franklin B. Schwing
Keyword(s):  
Remote Sensing ◽  
North Pacific ◽  
Hot Spots ◽  
The North ◽  
The North Pacific

scholarly journals ACOUSTIC REMOTE SENSING OF LARGE-SCALE TEMPERATURE VARIABILITY IN THE NORTH PACIFIC OCEAN

2004 ◽  
Vol 68 (2) ◽  
Author(s):  
Peter F. Worcester ◽  
Bruce D. Cornuelle ◽  
Brian D. Dushaw ◽  
Matthew A. Dzieciuch ◽  
Bruce M. Howe ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Pacific Ocean ◽  
North Pacific ◽  
Large Scale ◽  
North Pacific Ocean ◽  
Temperature Variability ◽  
The North ◽  
Scale Temperature ◽  
Acoustic Remote Sensing ◽  
The North Pacific

scholarly journals WRF-Chem modeling of sulfur dioxide emissions from the 2008 Kasatochi Volcano

2015 ◽  
Vol 57 ◽  
Author(s):  
Sean David Egan ◽  
Martin Stuefer ◽  
Peter Webley ◽  
Catherine F. Cahill
Keyword(s):  
Remote Sensing ◽  
Sulfur Dioxide ◽  
North Pacific ◽  
Model Output ◽  
Ozone Monitoring Instrument ◽  
Sulfur Dioxide Emissions ◽  
Modeling Methods ◽  
The North ◽  
Ozone Monitoring ◽  
The North Pacific

We use the Weather Research Forecasting with Chemistry (WRF-Chem) model to simulate the evolution, dispersion and conversion of the sulfur dioxide (SO<sub>2</sub>) plume generated by the 2008 eruption of Kasatochi Volcano in Alaska, USA. About 1.7 Tg of SO<sub>2</sub> were dispersed into the atmosphere during three distinct explosive events. Stratospheric sulfur dioxide conversion chemistry is detailed and model output is compared to remote sensing retrievals from the Ozone Monitoring Instrument (OMI). WRF-Chem generated SO<sub>2</sub> column densities and plume locations similar to those from OMI retrievals as the plume traveled from the North Pacific through the continental United States and Canada. Analysis of SO<sub>2</sub> conversion established an eight day lifetime of SO<sub>2</sub> for the Kastaochi plume, which is a slightly shorter lifetime than derived by other modeling methods.

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