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344 results for “North Atlantic Ocean”
Fig. 4 in A new species of Ampharete (Annelida: Ampharetidae) from the West Shetland shelf (NE Atlantic Ocean), with two updated keys to the species of the genus in North Atlantic waters
Fig. 4. Ampharete oculicirrata sp. nov., paratype MNCN 16.01/18482_spec. 2. A. Incomplete specimen, dorsal view. B. Anterior end, dorsal view and detail of prostomium and nuchal organ; large arrow pointing to gap between groups of branchiae; framed enlarged areas: prostomium (bottom left) and branchial ciliation (bottom right). Abbreviations: br = branchia; nuo = nuchal organ; pal = paleae; pros(ml) = prostomium (median lobe). Scale bars = 200 µm.
Fig. 3 in A new species of Ampharete (Annelida: Ampharetidae) from the West Shetland shelf (NE Atlantic Ocean), with two updated keys to the species of the genus in North Atlantic waters
Fig. 3. Ampharete oculicirrata sp. nov., paratype MNCN 16.01/18482_spec. 1. A. First three abdominal uncinigers, lateral view. B. Thoracic unciniger 11. C. Abdominal unciniger 1. D. Abdominal unciniger 2. E. Abdominal unciniger 3. F. Posterior end, from AU7 to pygidium. Abbreviations: AU = abdominal unciniger; plc = pygidial lateral cirrus. Scale bars: A, F = 100 µm; B–D = 10 µm; E = 15 µm.
Fig. 1 in A new species of Ampharete (Annelida: Ampharetidae) from the West Shetland shelf (NE Atlantic Ocean), with two updated keys to the species of the genus in North Atlantic waters
Fig. 1. Ampharete oculicirrata sp. nov., holotype NMS.Z.2019.8.1 (A–B, D–E), paratype MNCN 16.01/18476 (C, F). A. Complete specimen, dorsolateral view, and detail of several thoracic and abdominal parapodia. B. Anterior end, lateral view. C. Anterior end, dorsal view. D–E. Posterior end, dorsal and ventral view. F. Posterior end, lateral view. Abbreviations: AU = abdominal unciniger; bl = buccal lip; br = branchia; brph = branchiophore; bt = buccal tentacle; btp = buccal tentacle pinna; eye(i) = pygidial eye; eye(p) = prostomial eye; pal = paleae; plc = pygidial lateral cirrus; pp = pygidial papillae; pros(ll) = prostomium (lateral lobe); pros(ml) = prostomium (median lobe); TN = thoracic notopodium; TU = thoracic unciniger. Scale bars: A = 1 mm; B–C = 200 µm; D–F = 100 µm.
Fig. 2 in A new species of Ampharete (Annelida: Ampharetidae) from the West Shetland shelf (NE Atlantic Ocean), with two updated keys to the species of the genus in North Atlantic waters
Fig. 2. Ampharete oculicirrata sp. nov., paratype MNCN 16.01/18482_spec. 1. A. Anterior end, lateral view. B. Paleae and first two thoracic chaetigers, lateral view. C. Thoracic notopodium and chaetae, anterior view. D. Uncini of second thoracic unciniger (thoracic chaetiger 4). Abbreviations: brph = branchiophore; nuo = nuchal organ; pal = paleae; pros(ml) = prostomium (median lobe); TN = thoracic notopodium; TU = thoracic unciniger. Scale bars: A = 200 µm; B = 100 µm; C = 20 µm; D = 15 µm.
Fig. 5 in A new species of Ampharete (Annelida: Ampharetidae) from the West Shetland shelf (NE Atlantic Ocean), with two updated keys to the species of the genus in North Atlantic waters
Fig. 5. Ampharete oculicirrata sp. nov., paratype MNCN 16.01/18482_spec. 3. A. Transitional area between thorax and abdomen, ventral view. B. Peristomium, ventral view. C. Paleae and first three thoracic chaetigers, ventral view. Abbreviations: AU = abdominal unciniger; bl = buccal lip; br = branchia; pal = paleae; per = peristomium; pros(ll) = prostomium (lateral lobe); pros(ml) = prostomium (median lobe); SG = segment; TC = thoracic chaetiger; TN = thoracic notopodium; TU = thoracic unciniger; vs = ventral shield. Scale bars: A = 200 µm; B–C = 100 µm.
North Atlantic circulation: a perspective from ocean reanalyses
<p>We provide data here from our paper "North Atlantic circulation: a perspective from ocean reanalyses". All files are netcdf or text files (or a tar of files).</p> <p>clim_MLD.tar.gz : time mean mixed layer depths (Fig 1)</p> <p>clim_AMOC.tar.gz : time mean AMOC streamfunctions (Fig 2)</p> <p>clim_gyre.tar.gz : time mean barotropic streamfunctions (Fig 3)</p> <p>clim_box_transports.csv : volume transports for the subtropical and subpolar regions split into upper, lower, boundary and interior (Fig 4)</p> <p>clim_transports.tar : heat and freshwater transports by latitude (Fig 5)</p> <p>clim_scatter_fig6-7.tar : time mean labrador sea densities, AMOC and subpolar gyre strengths, heat and freshwater transports (Fig 6+7)</p> <p> timeseries_TS.tar : timeseries of temperature and salinity anomalies in the upper 500m over region 25-45N and 45-65N. Also volumes of water> 10 degrees or 35.3PSU (Fig 8)</p> <p>timeseries_fig9.tar : timeseries of labrador sea density and mixed layer depth (Fig 9)</p> <p>dens_control_data.nc : the relationship between salinity and temperature control on density timeseries (Fig 10)</p> <p>timeseries_amoc.tar : timeseries of AMOC at 26.5N and 50N (Fig 11)</p> <p>rapid_corr.csv : correlations and standard deviations of components of AMOC at 26.5N compared to observations (Fig 12)</p> <p>timeseries_osnap.nc : timeseries of overturning across the OSNAP section (Fig 13)</p> <p>timeseries_gyres.tar : timeseries of subpolar and subtropical gyre strengths (Fig 14)</p> <p>Fig 15 uses data from Fig 9, 11,14</p> <p>timeseries_transports.tar : timeseries of heat and freshwater transports at 26.5N and 50N (Fig 16, 17)</p> <p>Fig 18 uses data from Fig 11, 16,17<br> </p>
Linked collectors and determiners for: Setaphyes elenae sp. nov., a new species of mud dragon (Kinorhyncha: Allomalorhagida) from Skagerrak (north-eastern Atlantic Ocean).
Natural history specimen data linked to collectors and determiners held within, "Setaphyes elenae sp. nov., a new species of mud dragon (Kinorhyncha: Allomalorhagida) from Skagerrak (north-eastern Atlantic Ocean)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/daf51a6a-153a-4906-a478-da4df86eee11">https://bionomia.net/dataset/daf51a6a-153a-4906-a478-da4df86eee11</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/daf51a6a-153a-4906-a478-da4df86eee11">https://gbif.org/dataset/daf51a6a-153a-4906-a478-da4df86eee11</a>. Formatted as a Frictionless Data package.
Wave Parameters - North Atlantic Ocean - Period 2091-2100 - RCP8.5 - MODEL: Wavewatch III - Global Driver: ACCESS
<p><strong>Wave Model:</strong></p> <ul> <li>WAVEWATCH_III - version number 5.16</li> </ul> <p><strong>Global driver: </strong></p> <p>ACCESS (Australian Community Climate and Earth System Simulator)</p> <p><strong>Variables:</strong></p> <ul> <li>Significant Wave Height</li> <li>Mean period, peak frequency</li> <li>Mean wave direction</li> <li>0.25° x 0.25° horizontal resolution - 3h time resolution</li> </ul> <p><strong>Region: </strong></p> <ul> <li>southernmost latitude = 10°</li> <li>northernmost latitude = 42°</li> <li>westernmost longitude = -70°</li> <li>easternmost longitude = -5°</li> </ul> <p><strong>360-day calendar</strong></p> <p><strong>NetCDF format</strong></p>
Wave Parameters - North Atlantic Ocean - Period 2036-2045 - RCP8.5 - MODEL: Wavewatch III - Global Driver: ACCESS
<p><strong>Wave Model:</strong></p> <ul> <li>WAVEWATCH_III - version number 5.16</li> </ul> <p><strong>Global driver: </strong></p> <p>ACCESS (Australian Community Climate and Earth System Simulator)</p> <p><strong>Variables:</strong></p> <ul> <li>Significant Wave Height</li> <li>Mean period, peak frequency</li> <li>Mean wave direction</li> <li>0.25° x 0.25° horizontal resolution - 3h time resolution</li> </ul> <p><strong>Region: </strong></p> <ul> <li>southernmost latitude = 10°</li> <li>northernmost latitude = 42°</li> <li>westernmost longitude = -70°</li> <li>easternmost longitude = -5°</li> </ul> <p><strong>360-day calendar</strong></p> <p><strong>NetCDF format</strong></p>
Wave Parameters - North Atlantic Ocean - Period 2036-2045 - RCP8.5 - MODEL: Wavewatch III - Global Driver: HadGEM
<p><strong>Wave Model:</strong></p> <ul> <li>WAVEWATCH_III - version number 5.16</li> </ul> <p><strong>Global driver: </strong></p> <ul> <li>HadGEM (Hadley Centre Global Environmental Model)</li> </ul> <p><strong>Variables:</strong></p> <ul> <li>Significant Wave Height</li> <li>Mean period, peak frequency</li> <li>Mean wave direction</li> <li>0.25° x 0.25° horizontal resolution - 3h time resolution</li> </ul> <p><strong>Region: </strong></p> <ul> <li>southernmost latitude = 10.</li> <li>northernmost latitude = 42.</li> <li>westernmost longitude = -70.</li> <li>easternmost longitude = -5.</li> </ul> <p><strong>360-day calendar</strong></p> <p><strong>NetCDF format</strong></p>
Wave Parameters - North Atlantic Ocean - Period 2081-2099 - RCP8.5 - MODEL: Wavewatch III - Global Driver: HadGEM
<p><strong>Wave Model:</strong></p> <ul> <li>WAVEWATCH_III - version number 5.16</li> </ul> <p><strong>Global driver: </strong></p> <ul> <li>HadGEM (Hadley Centre Global Environmental Model)</li> </ul> <p><strong>Variables:</strong></p> <ul> <li>Significant Wave Height</li> <li>Mean period, peak frequency</li> <li>Mean wave direction</li> <li>0.25° x 0.25° horizontal resolution - 3h time resolution</li> </ul> <p><strong>Region: </strong></p> <ul> <li>southernmost latitude = 10°</li> <li>northernmost latitude = 42°</li> <li>westernmost longitude = -70°</li> <li>easternmost longitude = -5°</li> </ul> <p><strong>360-day calendar</strong></p> <p><strong>NetCDF format</strong></p>
Remote versus local impacts of energy backscatter on the North Atlantic SST biases in a global ocean model
<p>The data and scripts used to generate the figures in the manuscript "Remote versus local impacts of energy backscatter on the North Atlantic SST biases in a global ocean model".</p>
Ocean Heat Content Anomalies in the North Atlantic based on mapping Argo data using local Gaussian processes defined over space
<p>Monthly Ocean Heat Content Anomalies (OHCA) in the top 2000 dbar of the ocean are calculated (during 2005-2022, in the North Atlantic, north of 20N) subtracting the time mean over the period 2005-2021 from the monthly time series of OHC. OHC fields are mapped using a locally stationary Gaussian process (defined over space) with data-driven decorrelation scales (Kuusela and Stein, 2018). A linear time trend was included in the estimate of the mean field (along with spatial terms and harmonics for the annual cycle). In this product, mapping is done in latitude and longitude with monthly subsets of data. Mapping is done separately for different vertical sections: 15-20 dbar, 15-300 dbar, 300-700 dbar, 700-1850 dbar, 1800-1850 dbar. The 15-20 dbar (1800-1850 dbar) section is used to estimate OHCA for 0-15 dbar (1850-2000 dbar), where observations are sparser. Different vertical sections are combined to estimate global OHCA for 0-2000 dbar. Regions of the ocean that are shallower than 300 m or are not sufficiently well sampled by the Argo array are not included. </p>
Marine Sedimentary Ancient DNA (sedaDNA) from the North Atlantic Ocean
<p>Filtered sedimentary ancient DNA data (megan files), that includes sequence counts per sample. Additionally, scripts for the correlation analysis and heatmap are included. </p>
Sea surface Dimethylsulfide Concentration and Emission Flux over the North Atlantic Ocean
<p>The data represent the monthly climatology of sea surface Dimythylsulfide (DMS) concentration and sea-to-air Dimythylsulfide flux (FDMS) over the North Atlantic Ocean at 0.25°×0.25° spatial resolution. DMS data were obtained by applying a machine learning predictive algorithm based on Gaussian process regression (GPR) to model the distribution of daily DMS concentrations in the North Atlantic waters over 24 years (1998-2021). FDMS derived from the predicted DMS concentrations (GPR) and Goddijn-Murphy et al. (2012) parametrization. The scripts are authored by K. Mansour. For more information, please contact me at k.mansour@isac.cnr.it.</p>
MDM data for "Wind driven ocean circulation changes can amplify future cooling of the North Atlantic warming hole" - submitted to Journal of Climate
<p>Data files for MDM simulation used in Journal of Climate submission, "Wind driven ocean circulation changes can amplify future cooling of the North Atlantic warming hole"</p>
Post-processed dataset: An ocean memory approach for analysing decadal variability in the North Atlantic Ocean
<p>The dataset contains Python scripts and pre-processed data from selected CMIP6 models and observations. These were used to examine how the North Atlantic Oscillation affects decadal variations in the North Atlantic Ocean. An ocean memory approach, combining heat budget analysis with the Green's function method, is proposed.</p>
Phytoplankton life strategies, phenological shifts and climate change in the North Atlantic Ocean from 1850‐2100
<p>Supporting data for the article entitled 'Phytoplankton life strategies, phenological shifts and climate change in the North Atlantic Ocean from 1850-2100'.</p> <p>Article abstract: Significant phenological shifts induced by climate change are projected within the phytoplankton community. However, projections from current Earth System Models (ESMs) understandably rely on simplified community responses that do not consider evolutionary strategies manifested as various phenotypes and trait groups. Here, we use a species-based modelling approach, combined with large-scale plankton observations, to investigate past, contemporary and future phenological shifts in diatoms (grouped by their morphological traits) and dinoflagellates in three key areas of the North Atlantic Ocean (North Sea, North-East Atlantic and Labrador Sea) from 1850 to 2100. Our study reveals that the three phytoplanktonic groups exhibit coherent and different shifts in phenology and abundance throughout the North Atlantic Ocean. The seasonal duration of large flattened (i.e., oblate) diatoms is predicted to shrink and their abundance to decline, whereas the phenology of slow-sinking elongated (i.e., prolate) diatoms and of dinoflagellates is expected to expand and their abundance to rise, which may alter carbon export in this important sink region. The increase in prolates and dinoflagellates, two groups currently not considered in ESMs, may alleviate the negative influence of global climate change on oblates, which are responsible of massive peaks of biomass and carbon export in spring. We suggest that including prolates and dinoflagellates in models may improve our understanding of the influence of global climate change on the biological carbon cycle in the oceans.</p> <p>The data provided here are the observed and modelled abundances (oblate and prolate diatoms and dinoflagellates), the observed and modelled environmental data (compiled data for sea surface temperature, Surface Downwelling Shortwave Radiation and disolved nitrates concentrations) in the North Sea, the North-East Atlantic and the Labrador Sea, and the phenological indices for the three different phytoplanktonic groups (i.e. oblate and prolate diatoms and dinoflagellates) and the three warming scenarios (the low, the medium and the high warming scenarios; SSP1-1.2.6 SSP2-4.5 and 5-8.5 respectively). The phenological indices are the maximum abundance, the day where the maximum abundance is reached, the day where the seasonal reproductive period is initiated and the day where it is terminated, the seasonal duration and the mean annual abundance. </p>
Phytoplankton life strategies, phenological shifts and climate change in the North Atlantic Ocean from 1850‐2100
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Data for paper: The making of a genetic cline: introgression of oceanic genes into coastal cod populations in the North East Atlantic
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