Low-frequency ambient sound in the North Pacific: Long time series observations

1999 ◽  
Vol 106 (6) ◽  
pp. 3189-3200 ◽  
Author(s):  
Keith R. Curtis ◽  
Bruce M. Howe ◽  
James A. Mercer
Keyword(s):  
Time Series ◽  
North Pacific ◽  
Low Frequency ◽  
Long Time Series ◽  
The North ◽  
Ambient Sound ◽  
Long Time ◽  
The North Pacific

Low‐frequency ambient sound in the North Pacific

1996 ◽  
Vol 100 (4) ◽  
pp. 2733-2733
Author(s):  
Keith R. Curtis ◽  
Bruce M. Howe ◽  
James A. Mercer
Keyword(s):  
North Pacific ◽  
Low Frequency ◽  
The North ◽  
Ambient Sound ◽  
The North Pacific

Six‐year records of low‐frequency ambient sound in the North Pacific

2000 ◽  
Vol 107 (5) ◽  
pp. 2922-2922
Author(s):  
Rex K. Andrew ◽  
Bruce M. Howe ◽  
James A. Mercer
Keyword(s):  
North Pacific ◽  
Low Frequency ◽  
The North ◽  
Ambient Sound ◽  
The North Pacific

Whale contribution to long time series of low-frequency oceanic ambient sound

2002 ◽  
Vol 111 (5) ◽  
pp. 2371
Author(s):  
Rex K. Andrew ◽  
Bruce M. Howe ◽  
James A. Mercer
Keyword(s):  
Time Series ◽  
Low Frequency ◽  
Long Time Series ◽  
Ambient Sound ◽  
Long Time

Eight‐year records of low‐frequency ambient sound in the North Pacific

2002 ◽  
Vol 112 (5) ◽  
pp. 2260-2260
Author(s):  
Rex K. Andrew ◽  
Charlotte Leigh ◽  
Bruce M. Howe ◽  
James A. Mercer
Keyword(s):  
North Pacific ◽  
Low Frequency ◽  
The North ◽  
Ambient Sound ◽  
The North Pacific

Cloud Properties over the North Slope of Alaska: Identifying the Prevailing Meteorological Regimes

2012 ◽  
Vol 25 (23) ◽  
pp. 8238-8258 ◽  
Author(s):  
Johannes Mülmenstädt ◽  
Dan Lubin ◽  
Lynn M. Russell ◽  
Andrew M. Vogelmann
Keyword(s):  
Time Series ◽  
Climate Model ◽  
North Slope ◽  
Test Cases ◽  
Synoptic Scale ◽  
Long Time Series ◽  
The North ◽  
Cloud Properties ◽  
North Slope Of Alaska ◽  
Long Time

Abstract Long time series of Arctic atmospheric measurements are assembled into meteorological categories that can serve as test cases for climate model evaluation. The meteorological categories are established by applying an objective k-means clustering algorithm to 11 years of standard surface-meteorological observations collected from 1 January 2000 to 31 December 2010 at the North Slope of Alaska (NSA) site of the U.S. Department of Energy Atmospheric Radiation Measurement Program (ARM). Four meteorological categories emerge. These meteorological categories constitute the first classification by meteorological regime of a long time series of Arctic meteorological conditions. The synoptic-scale patterns associated with each category, which include well-known synoptic features such as the Aleutian low and Beaufort Sea high, are used to explain the conditions at the NSA site. Cloud properties, which are not used as inputs to the k-means clustering, are found to differ significantly between the regimes and are also well explained by the synoptic-scale influences in each regime. Since the data available at the ARM NSA site include a wealth of cloud observations, this classification is well suited for model–observation comparison studies. Each category comprises an ensemble of test cases covering a representative range in variables describing atmospheric structure, moisture content, and cloud properties. This classification is offered as a complement to standard case-study evaluation of climate model parameterizations, in which models are compared against limited realizations of the Earth–atmosphere system (e.g., from detailed aircraft measurements).

scholarly journals Mass Footprints of the North Pacific Atmospheric Blocking Highs

2015 ◽  
Vol 28 (12) ◽  
pp. 4941-4949 ◽  
Author(s):  
Tae-Won Park ◽  
Yi Deng ◽  
Wenhong Li ◽  
Song Yang ◽  
Ming Cai
Keyword(s):  
Mass Loss ◽  
North Pacific ◽  
Three Dimensional ◽  
Low Frequency ◽  
Lower Troposphere ◽  
Decay Stage ◽  
The North ◽  
Detection And Attribution ◽  
Blocking High ◽  
The North Pacific

Abstract The mass footprints associated with atmospheric blocks over the North Pacific are evaluated by constructing daily tendencies of total mass over the blocking domain from three-dimensional mass fluxes throughout the life cycle of a composite blocking event. The results highlight the major role of mass convergence driven by low-frequency (with periods >1 week) atmospheric disturbances during both the development and decay stage of a block. Specifically, low-frequency eddies are responsible for the accelerated mass buildup 4 days prior to the peak intensity of a block, and they also account for the rapid mass loss afterward. High-frequency, subweekly scale disturbances have statistically significant positive contributions to the mass loss during the decay stage, and also show weak negative contributions to the development of the blocking high prior to the peak of the high. The majority of the mass convergence (divergence) responsible for the intensification (decay) of the blocking high occurs in the middle-to-lower troposphere and is largely attributed to mass flux driven by low-frequency meridional (zonal) winds. Also discussed are the implications of this new mass perspective of atmospheric blocks for understanding dynamics of blocking highs and for model bias detection and attribution.

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