Evaluation of long-term trends in deep-ocean noise in the Southern Ocean

2019 ◽  
Author(s):  
Stephen P Robinson ◽  
Peter M Harris ◽  
Lian Wang ◽  
Sei-Him Cheong ◽  
Valerie Livina
Keyword(s):  
Southern Ocean ◽  
Deep Ocean ◽  
Ocean Noise ◽  
Long Term Trends

Long-term trend analysis of deep-ocean acoustic noise data

2020 ◽  
Author(s):  
Sei-Him Cheong ◽  
Stephen P Robinson ◽  
Peter M Harris ◽  
Lian S Wang ◽  
Valerie Livina
Keyword(s):  
Trend Analysis ◽  
Sound Pressure ◽  
Functional Model ◽  
Deep Ocean ◽  
Ocean Noise ◽  
Noise Data ◽  
Long Term Trends ◽  
Long Term Trend ◽  
Monitoring Stations

<p>Underwater noise is recognised as a form of marine pollutant and there is evidence that over exposure to excessive levels of noise can have effects on the wellbeing of the marine ecosystem. Consequently, the variation in the ambient sound levels in the deep ocean has been the subject of a number of recent studies, with particular interest in the identification of long-term trends. We describe a statistical method for performing long-term trend analysis and uncertainty evaluation of the estimated trends from deep-ocean noise data. This study has been extended to include  measured data  from four monitoring stations located in the Indian (Cape Leeuwin & Diego Garcia), Pacific (Wake Island) and Southern Atlantic (Ascension Islands) Oceans over periods spanning between 8 to 15 years. The data were obtained from the hydro-acoustic monitoring stations of the Preparatory Commission for the Comprehensive Nuclear Test Ban Treaty Organization (CTBTO). The monitoring stations provide information at a sampling frequency of 250 Hz, leading to very large datasets, and at acoustic frequencies up to 105 Hz.</p><p>The analysis method uses a flexible discrete model that incorporates terms that capture seasonal variations in the data together with a moving-average statistical model to describe the serial correlation of residual deviations. The trend analysis is applied to time series representing daily aggregated statistical levels for four frequency bands to obtain estimates for the change in sound pressure level (SPL) over the examined period with associated coverage intervals. The analysis demonstrates that there are statistically significant changes in the levels of deep-ocean noise over periods exceeding a decade. The main features of the approach include (a) using a functional model  with terms  that represent both long-term and seasonal behaviour of deep-ocean noise, (b) using a statistical model to capture the serial correlation of the residual deviations that are not explained by the functional model, (c) using daily aggregation intervals derived from 1-minute  sound pressure level averages, and (d) applying a non-parametric approach to validate the uncertainties of the trend estimates that avoids the need to make an assumption about the distribution of the residual deviations.</p><p>The obtained results show the long term trends vary differently at the four stations. It was observed that low frequency noise generally dominated the significant trends in these oceans. The relative differences between the various statistical levels are remarkably similar for all the frequency bands. Given the complexity of the acoustic environment, it is difficult to identify the main causes of these trends. Some possible explanations for the observed trends are discussed. It was however observed some stations are subjected to strong seasonal variation with a high degree of correlation with climatic factors such as sea surface temperature, Antarctic ice coverage and wind speed. The same seasonal effects is less pronounced in station located closer to the equator.</p>

Long‐term trends in ocean noise

2006 ◽  
Vol 120 (5) ◽  
pp. 3382-3382
Author(s):  
D. Benjamin Reeder ◽  
Rommel Pucan ◽  
Curtis A. Collins
Keyword(s):  
Ocean Noise ◽  
Long Term Trends

scholarly journals Global deep ocean oxygenation by enhanced ventilation in the Southern Ocean under long‐term global warming

2015 ◽  
Vol 29 (10) ◽  
pp. 1801-1815 ◽  
Author(s):  
A. Yamamoto ◽  
A. Abe‐Ouchi ◽  
M. Shigemitsu ◽  
A. Oka ◽  
K. Takahashi ◽  
...  
Keyword(s):  
Global Warming ◽  
Southern Ocean ◽  
Deep Ocean

Impact of Winds and Southern Ocean SSTs on Antarctic Sea Ice Trends and Variability

2021 ◽  
Vol 34 (3) ◽  
pp. 949-965
Author(s):  
Edward Blanchard-Wrigglesworth ◽  
Lettie A. Roach ◽  
Aaron Donohoe ◽  
Qinghua Ding
Keyword(s):  
Southern Ocean ◽  
Sea Ice ◽  
Interannual Variability ◽  
Initial Conditions ◽  
Regional Scale ◽  
Earth System ◽  
Anthropogenic Forcing ◽  
Antarctic Sea Ice ◽  
Long Term Trends

AbstractAntarctic sea ice extent (SIE) has slightly increased over the satellite observational period (1979 to the present) despite global warming. Several mechanisms have been invoked to explain this trend, such as changes in winds, precipitation, or ocean stratification, yet there is no widespread consensus. Additionally, fully coupled Earth system models run under historic and anthropogenic forcing generally fail to simulate positive SIE trends over this time period. In this work, we quantify the role of winds and Southern Ocean SSTs on sea ice trends and variability with an Earth system model run under historic and anthropogenic forcing that nudges winds over the polar regions and Southern Ocean SSTs north of the sea ice to observations from 1979 to 2018. Simulations with nudged winds alone capture the observed interannual variability in SIE and the observed long-term trends from the early 1990s onward, yet for the longer 1979–2018 period they simulate a negative SIE trend, in part due to faster-than-observed warming at the global and hemispheric scale in the model. Simulations with both nudged winds and SSTs show no significant SIE trends over 1979–2018, in agreement with observations. At the regional scale, simulated sea ice shows higher skill compared to the pan-Antarctic scale both in capturing trends and interannual variability in all nudged simulations. We additionally find negligible impact of the initial conditions in 1979 on long-term trends.

scholarly journals Antarctic and Southern Ocean Sea-Ice and Climate Trends

1990 ◽  
Vol 14 ◽  
pp. 127-130 ◽  
Author(s):  
T.H Jacka
Keyword(s):  
Southern Ocean ◽  
Sea Ice ◽  
Data Sets ◽  
Climate Trends ◽  
Sea Ice Extent ◽  
Antarctic Sea Ice ◽  
South Pacific Ocean ◽  
Computer Based ◽  
Long Term Trends

A computer-based climate monitoring project is described. Data sets include monthly and annual mean surface temperatures and pressures for occupied stations in Antarctica, the Southern Ocean and South Pacific Ocean; and monthly Antarctic sea-ice extent at each 10° of longitude.Simple statistical analyses of the data sets reveal a mean warming of ~0.15°C (10 a)−1 since the mid 1950s for Antarctic coastal stations and of ~0.04°C (10 a)−1 since the mid 1940s for the ocean stations. The sea-ice record from 1973 to 1988 reveals that the average northern ice limit has decreased at ~0.23°lat. (10 a)−1. Despite apparently compatible long-term trends of temperature and sea-ice extent, annual fluctuations of temperature and ice extent are highly variable and are not well correlated.

scholarly journals Long‐term 0.05–5 Hz ambient deep‐ocean noise, wind, and ocean waves.

1992 ◽  
Vol 91 (4) ◽  
pp. 2426-2427
Author(s):  
Charles S. McCreery ◽  
Frederick K. Duennebier ◽  
Daniel A. Walker ◽  
Thomas A. Schroeder
Keyword(s):  
Deep Ocean ◽  
Ocean Waves ◽  
Ocean Noise

scholarly journals Antarctic and Southern Ocean Sea-Ice and Climate Trends

1990 ◽  
Vol 14 ◽  
pp. 127-130 ◽  
Author(s):  
T.H Jacka
Keyword(s):  
Southern Ocean ◽  
Sea Ice ◽  
Data Sets ◽  
Climate Trends ◽  
Sea Ice Extent ◽  
Antarctic Sea Ice ◽  
South Pacific Ocean ◽  
Computer Based ◽  
Long Term Trends

A computer-based climate monitoring project is described. Data sets include monthly and annual mean surface temperatures and pressures for occupied stations in Antarctica, the Southern Ocean and South Pacific Ocean; and monthly Antarctic sea-ice extent at each 10° of longitude. Simple statistical analyses of the data sets reveal a mean warming of ~0.15°C (10 a)−1 since the mid 1950s for Antarctic coastal stations and of ~0.04°C (10 a)−1 since the mid 1940s for the ocean stations. The sea-ice record from 1973 to 1988 reveals that the average northern ice limit has decreased at ~0.23°lat. (10 a)−1. Despite apparently compatible long-term trends of temperature and sea-ice extent, annual fluctuations of temperature and ice extent are highly variable and are not well correlated.

scholarly journals Long-term trends of global marine primary and secondary aerosol production during the recent global warming hiatus (2000–2015)

2018 ◽  
Author(s):  
Sang-Keun Song ◽  
Zang-Ho Shon ◽  
Yu-Na Choi ◽  
Young-Baek Son ◽  
Minsung Kang ◽  
...  
Keyword(s):  
Global Warming ◽  
Pacific Ocean ◽  
Southern Ocean ◽  
Atmospheric Aerosol ◽  
Sea Surface ◽  
Aerosol Loading ◽  
Global Warming Hiatus ◽  
Long Term Trends ◽  
Warming Hiatus

Abstract. Long-term trends in global sea spray aerosol (SSA) emissions and dimethyl sulfide (DMS) fluxes from sea to air during the recent global warming hiatus (2000–2015) were analyzed using satellite observations and modelling data. The SSA emissions were estimated using a widely used whitecap method with sea surface temperature (SST) dependence. In addition, sea-to-air DMS fluxes were also used to quantify the secondary contributions of DMS through its sequential oxidation and gas-to-particle conversion. Aerosol optical depth (AOD) was estimated by an aerosol optical model using the number concentration of SSA and non-sea-salt sulfate from DMS. The estimated AOD, which was derived from the SSA and DMS emitted from the sea surface, was compared with satellite-derived AOD to quantify its (primary and secondary) contribution to atmospheric aerosol loading (i.e., observed AOD). Yearly global mean anomalies in DMS fluxes and AOD derived from SSA showed statistically significant downward trends during the recent global warming hiatus, whereas SSA emissions and AOD derived from DMS oxidation did not. In terms of regional trends, the decreases in SSA emissions during 2000–2015 occurred over the central Pacific Ocean, the Indian Ocean, and the Caribbean Sea, whereas upward trends in SSA emissions occurred over the tropical southeastern Pacific Ocean, the Southern Ocean, and the North Atlantic Ocean. DMS fluxes during the study period showed a clear downward trend over most regions of the global ocean. The estimates of the contributions of SSA (primary) and DMS (secondary) to atmospheric aerosol loading were 23–62% and 26–38%, respectively, with the largest primary contribution (~90%) over the Southern Ocean.

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