The 2015 Hurricane Season in the North Atlantic: An Analysis of Environmental Conditions

2019 ◽  
pp. 123-133
Author(s):  
Jennifer M. Collins ◽  
David R. Roache
Keyword(s):  
North Atlantic ◽  
Environmental Conditions ◽  
The North ◽  
Hurricane Season ◽  
The North Atlantic

Ocean Cruising: A Sailing Subculture

1992 ◽  
Vol 40 (2) ◽  
pp. 319-343 ◽  
Author(s):  
Jim Macbeth
Keyword(s):  
New Zealand ◽  
North Atlantic ◽  
South Pacific ◽  
The South ◽  
Fringing Reef ◽  
The North ◽  
Hurricane Season ◽  
The North Atlantic ◽  
One Year

Just after dawn, an English couple in their 30's haul up their anchor and motor across the stillness of Suva harbour. The hurricane season is approaching and they are embarking on the 2–3 week trip to Bay of Islands New Zealand for the southern summer. Three months earlier, as their yacht lay aground on the fringing reef of uninhabited Suvarov atoll, they wondered if they'd ever reach New Zealand. But, with the help of other cruisers and lucky tides their steel 36 footer was clear and safe in under 24 hours. What was to be a one year trip around the north Atlantic was now happily way off course in the South Pacific and likely to remain so for some time. That is just a glimpse of one small aspect of ocean cruising, the subculture of interest here. However, throughout the paper the ethnography of cruising is developed further. A model is proposed to show how individuals come to share the subculture ideology and then to participate in the lifestyle. Subsequently, 1 will place ocean cruising in the context of subculture theory by expanding the ethnography and relating cruising to other subcultures.

An Operational System for Predicting Hurricane-Generated Wind Waves in the North Atlantic Ocean*

2005 ◽  
Vol 20 (4) ◽  
pp. 652-671 ◽  
Author(s):  
Yung Y. Chao ◽  
Jose-Henrique G. M. Alves ◽  
Hendrik L. Tolman
Keyword(s):  
Prediction Model ◽  
North Atlantic ◽  
North Atlantic Ocean ◽  
Wind Waves ◽  
Wave Model ◽  
Atlantic Hurricane ◽  
The North ◽  
Hurricane Season ◽  
The North Atlantic ◽  
Environmental Prediction

Abstract A new wind–wave prediction model, referred to as the North Atlantic hurricane (NAH) wave model, has been developed at the National Centers for Environmental Prediction (NCEP) to produce forecasts of hurricane-generated waves during the Atlantic hurricane season. A detailed description of this model and a comparison of its performance against the operational western North Atlantic (WNA) wave model during Hurricanes Isidore and Lili, in 2002, are presented. The NAH and WNA models are identical in their physics and numerics. The NAH model uses a wind field obtained by blending data from NCEP’s operational Global Forecast System (GFS) with those from a higher-resolution hurricane prediction model, whereas the WNA wave model uses winds provided exclusively by the GFS. Relative biases of the order of 10% in the prediction of maximum wave heights up to 48 h in advance, indicate that the use of higher-resolution winds in the NAH model provides a successful framework for predicting extreme sea states generated by a hurricane. Consequently, the NAH model has been made operational at NCEP for use during the Atlantic hurricane season.

scholarly journals Satellite-Derived Ocean Thermal Structure for the North Atlantic Hurricane Season

2016 ◽  
Vol 144 (3) ◽  
pp. 877-896 ◽  
Author(s):  
Iam-Fei Pun ◽  
James F. Price ◽  
Steven R. Jayne
Keyword(s):  
Mixed Layer ◽  
North Atlantic ◽  
Thermal Structure ◽  
Estimation Error ◽  
Mixed Layer Depth ◽  
Heat Content ◽  
Height Anomaly ◽  
The North ◽  
Hurricane Season ◽  
The North Atlantic

Abstract This paper describes a new model (method) called Satellite-derived North Atlantic Profiles (SNAP) that seeks to provide a high-resolution, near-real-time ocean thermal field to aid tropical cyclone (TC) forecasting. Using about 139 000 observed temperature profiles, a spatially dependent regression model is developed for the North Atlantic Ocean during hurricane season. A new step introduced in this work is that the daily mixed layer depth is derived from the output of a one-dimensional Price–Weller–Pinkel ocean mixed layer model with time-dependent surface forcing. The accuracy of SNAP is assessed by comparison to 19 076 independent Argo profiles from the hurricane seasons of 2011 and 2013. The rms differences of the SNAP-estimated isotherm depths are found to be 10–25 m for upper thermocline isotherms (29°–19°C), 35–55 m for middle isotherms (18°–7°C), and 60–100 m for lower isotherms (6°–4°C). The primary error sources include uncertainty of sea surface height anomaly (SSHA), high-frequency fluctuations of isotherm depths, salinity effects, and the barotropic component of SSHA. These account for roughly 29%, 25%, 19%, and 10% of the estimation error, respectively. The rms differences of TC-related ocean parameters, upper-ocean heat content, and averaged temperature of the upper 100 m, are ~10 kJ cm−2 and ~0.8°C, respectively, over the North Atlantic basin. These errors are typical also of the open ocean underlying the majority of TC tracks. Errors are somewhat larger over regions of greatest mesoscale variability (i.e., the Gulf Stream and the Loop Current within the Gulf of Mexico).

scholarly journals Madrepora oculata forms large frameworks in hypoxic waters off Angola (SE Atlantic)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Covadonga Orejas ◽  
Claudia Wienberg ◽  
Jürgen Titschack ◽  
Leonardo Tamborrino ◽  
André Freiwald ◽  
...  
Keyword(s):  
North Atlantic ◽  
Environmental Conditions ◽  
Coral Community ◽  
Hypoxic Conditions ◽  
The North ◽  
Minimum Zone ◽  
The North Atlantic ◽  
Age Range ◽  
Local Oxygen ◽  
Oxygen Minimum

AbstractThis study aims to map the occurrence and distribution of Madrepora oculata and to quantify density and colony sizes across recently discovered coral mounds off Angola. Despite the fact that the Angolan populations of M. oculata thrive under extreme hypoxic conditions within the local oxygen minimum zone, they reveal colonies with remarkable heights of up to 1250 mm—which are the tallest colonies ever recorded for this species—and average densities of 0.53 ± 0.37 (SD) colonies m−2. This is particularly noteworthy as these values are comparable to those documented in areas without any oxygen constraints. The results of this study show that the distribution pattern documented for M. oculata appear to be linked to the specific regional environmental conditions off Angola, which have been recorded in the direct vicinity of the thriving coral community. Additionally, an estimated average colony age of 95 ± 76 (SD) years (total estimated age range: 16–369 years) indicates relatively old M. oculata populations colonizing the Angolan coral mounds. Finally, the characteristics of the Angolan populations are benchmarked and discussed in the light of the existing knowledge on M. oculata gained from the North Atlantic and Mediterranean Sea.

scholarly journals Environmental variability in the North Atlantic and Iberian waters and its influence on horse mackerel (Trachurus trachurus) and albacore (Thunnus alalunga) dynamics

2007 ◽  
Vol 64 (3) ◽  
pp. 425-438 ◽  
Author(s):  
Alicia Lavín ◽  
Xabier Moreno-Ventas ◽  
Victoria Ortiz de Zárate ◽  
Pablo Abaunza ◽  
José Manuel Cabanas
Keyword(s):  
North Atlantic ◽  
Environmental Conditions ◽  
Environmental Variability ◽  
Horse Mackerel ◽  
Wind Component ◽  
Trachurus Trachurus ◽  
The Third ◽  
The North ◽  
Thunnus Alalunga ◽  
The North Atlantic

Abstract Lavín, A., Moreno-Ventas, X., Ortiz de Zárate, V., Abaunza, P., and Cabanas, J. M. 2007. Environmental variability in the North Atlantic and Iberian waters and its influence on horse mackerel (Trachurus trachurus) and albacore (Thunnus alalunga) dynamics. – ICES Journal of Marine Science, 64: 425–438. We explore the potential impact of climatic and oceanic variables on the dynamics of horse mackerel Trachurus trachurus (coastal distribution) and albacore Thunnus alalunga (oceanic distribution). Principal components analysis of a set of environmental parameters for the years 1966–2000 allowed us to characterize the system by three components. The first consisted mainly of sea surface temperature (SST; 18.5% of variability), the second was determined by the oceanic transport indices, potential energy anomaly (PEA), and the Gulf Stream Index (15.6%), and the third by the meridional wind component and Ekman transport (11.5%). Horse mackerel recruitment was negatively correlated mainly with the first thermal component, whereas albacore age 3 catches were negatively correlated with the second oceanic component and positively with the third wind component. Multiple linear regression confirmed that environmental conditions [SST, PEA, and the zonal (east–west) wind component] explained the availability of age 3 albacore to the surface fisheries for the period 1975–1999. In contrast, cross-validation analysis showed that environmental conditions did not consistently explain horse mackerel recruitment, probably because of the short time-series available (15 y).

scholarly journals Can Environmental Conditions at North Atlantic Deep-Sea Habitats Be Predicted Several Years Ahead? ——Taking Sponge Habitats as an Example

2021 ◽  
Vol 8 ◽  
Author(s):  
Feifei Liu ◽  
Ute Daewel ◽  
Annette Samuelsen ◽  
Sebastian Brune ◽  
Ulrike Hanz ◽  
...  
Keyword(s):  
Climate Variability ◽  
North Atlantic ◽  
Environmental Conditions ◽  
Deep Sea ◽  
Large Scale ◽  
Benthic Habitats ◽  
The North ◽  
Environmental Properties ◽  
Physical Fields ◽  
The North Atlantic

Predicting the ambient environmental conditions in the coming several years to one decade is of key relevance for elucidating how deep-sea habitats, like for example sponge habitats, in the North Atlantic will evolve under near-future climate change. However, it is still not well known to what extent the deep-sea environmental properties can be predicted in advance. A regional downscaling prediction system is developed to assess the potential predictability of the North Atlantic deep-sea environmental factors. The large-scale climate variability predicted with the coupled Max Planck Institute Earth System Model with low-resolution configuration (MPI-ESM-LR) is dynamically downscaled to the North Atlantic by providing surface and lateral boundary conditions to the regional coupled physical-ecosystem model HYCOM-ECOSMO. Model results of two physical fields (temperature and salinity) and two biogeochemical fields (concentrations of silicate and oxygen) over 21 sponge habitats are taken as an example to assess the ability of the downscaling system to predict the interannual to decadal variations of the environmental properties based on ensembles of retrospective predictions over the period from 1985 to 2014. The ensemble simulations reveal skillful predictions of the environmental conditions several years in advance with distinct regional differences. In areas closely tied to large-scale climate variability and ice dynamics, both the physical and biogeochemical fields can be skillfully predicted more than 4 years ahead, while in areas under strong influence of upper oceans or open boundaries, the predictive skill for both fields is limited to a maximum of 2 years. The simulations suggest higher predictability for the biogeochemical fields than for the physical fields, which can be partly attributed to the longer persistence of the former fields. Predictability is improved by initialization in areas away from the influence of Mediterranean outflow and areas with weak coupling between the upper and deep oceans. Our study highlights the ability of the downscaling regional system to predict the environmental variations at deep-sea benthic habitats on time scales of management relevance. The downscaling system therefore will be an important part of an integrated approach towards the preservation and sustainable exploitation of the North Atlantic benthic habitats.

The Growth of Shipping Services, 1902-1909

2012 ◽  
pp. 107-142
Author(s):  
Gordon Boyce
Keyword(s):  
South America ◽  
North Atlantic ◽  
Environmental Conditions ◽  
Persian Gulf ◽  
Freight Rates ◽  
Atlantic Trade ◽  
The North ◽  
The Poor ◽  
The North Atlantic ◽  
The Persian Gulf

This chapter charts the expansion of the Furness Group from 1902 to 1909 as they responded to the growth of American liner competition and shifting environmental conditions by engaging in other trades and amassing other resources. It analyses trends in trade, freight rates, tonnage, profit; the Furness Group’s profitability between 1900 and 1909; changes in patterns of growth; the North Atlantic trade stalemate between 1902 and 1909; the poor financial performance of Manchester-based liners; the Furness Group’s attempt to develop new liner trades beyond the North Atlantic into the Persian Gulf, South America and Australia; developments in tramp and contract trades; fleet expansion and consolidation; and insurance, salvage, repair, and provisioning interests. It concludes that by changing the composition of the Furness Group’s interests between 1902 and 1909 the company developed new and productive trade interests beyond the North Atlantic and escaped the trade deadlock. They would adjust the direction of services and expansion again in 1910, once the demand for shipping services resurfaced.

scholarly journals Environmental influences on Norwegian spring-spawning herring (Clupea harengus L.) larvae reveal recent constraints in recruitment success

2020 ◽  
Author(s):  
Maik Tiedemann ◽  
Richard D M Nash ◽  
Erling K Stenevik ◽  
Martina H Stiasny ◽  
Aril Slotte ◽  
...  
Keyword(s):  
North Atlantic ◽  
Environmental Conditions ◽  
Elevated Temperatures ◽  
Life Stage ◽  
Additive Models ◽  
Clupea Harengus ◽  
Positive Temperature ◽  
Slow Increase ◽  
The North ◽  
The North Atlantic

Abstract The lack of any abundant recruiting year class of Norwegian spring-spawning (NSS) herring between 2005 and 2015 contributed to an approximate reduction of 40% in the spawning-stock biomass since 2009, i.e. from 7 to 4 million tonnes. Warming of the North Atlantic is suggested to contribute to this reduction in recruitment. In the past, a warm phase induced by a positive Atlantic Multidecadal Oscillation (AMO) in the North Atlantic was positively correlated to the NSS herring stock size. Recent unprecedented ocean warming in the Norwegian Sea ecosystem, besides elevated temperatures due to a positive AMO, seems to be outside optimal environmental conditions for early life history stages of NSS herring. We analysed 28 years of survey data using generalized additive models to reconstruct environmental conditions for drifting yolksac and preflexion stage larvae. Our results indicate that strong recruitment years were more likely when the larvae occurred simultaneously with a negative AMO during positive temperature anomalies. The transition from yolksac stages towards preflexion stages occurred while there was a slow increase in water temperature during the larval drift. Weak recruitment years generally occurred when larvae experienced elevated temperatures during the life stage transition under a positive AMO. These results augment evidence that the historical positive relationship between AMO and stock dynamics is reversed between 1988 and 2015. Albeit not implying any specific mechanistic biological interactions, we can assume that the unprecedented warming has modified the ecosystem drivers that negatively affect drifting larvae. Since 2016, the North Atlantic is shifting into a negative AMO phase, possibly resulting in the 10-year recruitment suppression of NSS herring ending soon.

Retrospective Forecasts of the Hurricane Season Using a Global Atmospheric Model Assuming Persistence of SST Anomalies

2010 ◽  
Vol 138 (10) ◽  
pp. 3858-3868 ◽  
Author(s):  
Ming Zhao ◽  
Isaac M. Held ◽  
Gabriel A. Vecchi
Keyword(s):  
North Atlantic ◽  
Atmospheric Model ◽  
Seasonal Forecasts ◽  
The North ◽  
East Pacific ◽  
Main Development ◽  
Hurricane Season ◽  
Development Region ◽  
The North Atlantic ◽  
Sst Anomalies

Abstract Retrospective predictions of seasonal hurricane activity in the Atlantic and east Pacific are generated using an atmospheric model with 50-km horizontal resolution by simply persisting sea surface temperature (SST) anomalies from June through the hurricane season. Using an ensemble of 5 realizations for each year between 1982 and 2008, the correlations of the model mean predictions with observations of basin-wide hurricane frequency are 0.69 in the North Atlantic and 0.58 in the east Pacific. In the North Atlantic, a significant part of the degradation in skill as compared to a model forced with observed SSTs during the hurricane season (correlation of 0.78) can be explained by the change from June through the hurricane season in one parameter, the difference between the SST in the main development region and the tropical mean SST. In fact, simple linear regression models with this one predictor perform nearly as well as the full dynamical model for basin-wide hurricane frequency in both the east Pacific and the North Atlantic. The implication is that the quality of seasonal forecasts based on a coupled atmosphere–ocean model will depend in large part on the model’s ability to predict the evolution of this difference between main development region SST and tropical mean SST.

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