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294 results for “sea surface temperature”
Identification of Sea Surface Temperature and Sea Surface Salinity Fronts along the California Coast: Application Using Saildrone and Satellite Derived Products
<p>Data and Method described in https://www.mdpi.com/2072-4292/15/2/484, "Identification of Sea Surface Temperature and Sea Surface Salinity Fronts along the California Coast: Application Using Saildrone and Satellite Derived Products"</p> <p> </p>
The sea around China-surface and bottom temperature data
<p>The temperature data in the sea around China, including sea surface temperature and bottom temperature. </p>
Dataset for "On the sensitivity of aerosol-cloud interactions to changes in sea surface temperature in radiative-convective equilibrium"
<p>Dataset for "On the sensitivity of aerosol-cloud interactions to changes in sea surface temperature in radiative-convective equilibrium".</p> <p>All numbers followed by "K" represent the sea surface temperature, and the number that follows them represents aerosol concentration.</p> <p>Abbreviations:</p> <p>prof - profile</p> <p>Adv - Advective</p> <p>CF245 - Cloud Fraction above 245K level</p> <p> cF - cloud fraction</p> <p>cIce - cloud ice</p> <p>CSRH - Clear-sky Radiative heating rate</p> <p>cWtr - cloud water</p> <p>Lat - latent</p> <p>LW - longwave</p> <p>SW - shortwave</p> <p>TOA - top of atmosphere</p> <p>SFC - surface</p> <p>CS - clear sky</p> <p>Temp - temperature</p> <p>tW - total water</p>
Data supporting 'The Response of Midlatitude Surface Temperature Persistence to Arctic Sea-Ice Loss' by Neil T Lewis, William J M Seviour, Hannah E Roberts-Straw, and James A Screen.
<p>Data supporting Lewis et al., 2023. The Response of Midlatitude Surface Temperature Persistence to Arctic Sea-Ice Loss. Submitted to Geophysical Research Letters.</p><p>All model output is contained within the folder data/. All data is in NetCDF format.</p><p>The folder data/PAMIP/ contains output from coupled AOGCMs that contributed piArcSIC and futArcSIC timeslice runs to PAMIP. The AOGCMS present are: HadGEM3-GC31-MM, IPSL-CM6A-LR, CESM2-WACCM6, and CESM-WACCM-SC. For each model + run, two data files are included. One contains the autocorrelation of surface temperature, at 5, 10, and 15 day lags. The second contains the frequency and duration of persistent extremes (as defined in Lewis et al., 2023).</p><p>Additional output is included in data/PAMIP/ from extended pdSIC-ext and futArcSIC-ext experiments run using CNRM-CM6-1. For each run, a file containing the autocorrelation of surface temperature (as above) is included.</p><p>The folder data/CMIP/ contains output from CMIP6 historical/SSP585 runs using three of the models listed above: HadGEM3-GC31-MM, IPSL-CM6A-LR, and CESM2-WACCM6. For each model, 'pre-industrial' and 'future' output is available. Output in these files was computed from 30-year time-periods, subsampled from the historical/SSP585 runs, selected so that the 30-year average sea-ice area matched that in the corresponding PAMIP runs above. For each model and time period, two data files are included. One contains the autocorrelation of surface temperature, at 5, 10, and 15 day lags. The second contains the frequency and duration of persistent extremes (as defined in Lewis et al., 2023).</p><p>Output is also included in data/CMIP/ from CNRM-CM6-1 'present day' and 'future' time periods, selected to match the sea-ice area in the CNRM -ext PAMIP runs. For this model, output files contain the autocorrelation of surface temperaure. </p>
Data from: The seasonal cycles of tropical sea surface temperature from Earth's axial tilt and orbital eccentricity
Open the record for dataset details and reuse information.
The infrared instrument for sea surface temperature (iriss): An innovative and simplified design for measuring ocean surface skin temperature
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Data from: Sea-surface temperature pattern effects have slowed global warming and biased warming-based constraints on climate sensitivity
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Changes in dive patterns of leatherback turtles with sea surface temperature and potential foraging habitats
<p>Marine mesotherms are able to occupy broader thermal niches than ectotherms; however, this means they must exhibit greater tolerance to diverse environmental conditions across the ocean. Knowledge remains limited about how differences in environmental conditions within occupied habitats affect the bioenergetics of mesotherms and associated ecological traits. Here, we report that leatherback turtles (<i>Dermochelys coriacea</i>) migrating across the North Pacific changed their dive behavior regionally, possibly in response to changes in sea surface temperature and prey abundance. Our results demonstrate that dives became deeper when the surface water was warmer, presumably because leatherbacks dive to deep cold waters to avoid overheating. Moreover, the patterns of presumed foraging dives indicate that leatherbacks engage in behavioral thermoregulation in warmer foraging regions, which perhaps limit the time available for foraging activity. In contrast, mesothermy allows leatherbacks to spend more time foraging in cool-temperate regions. However, it might not produce greater reproductive output due to additional migration cost to these areas, which are more distant from their nesting beaches. Our results highlight that mesothermy might not provide a direct fitness advantage to all individual leatherback turtles; rather, it affords a species-level fitness advantage by allowing a greater diversity of habitats to be utilized.</p>
Out-of-phase Decadal Change in Drought over Northeast China between Early Spring and Late Summer around 2000 and Its Linkage to the Atlantic Sea Surface Temperature
<p>This file is for the upload of CN05.1 data for 2020JD034048R.</p>
Data from: The relationship between geographic range extent, sea surface temperature and adult traits in coastal temperate fishes
Aim: We use publicly available data to assess the influence of ocean basin, various biological traits and sea surface temperature on biogeographic range extent for temperate, continental shelf fish species spanning 141 families. Location: Coastal waters of the temperate Northern Hemisphere. Taxon: Teleost Fishes (Infraclass Teleostei). Methods: We assess the relationship between species range extent and depth range, maximum body length, schooling behaviour and use of multiple habitats for 1,251 species of northern, temperate, continental shelf fishes in different basins (Atlantic vs. Pacific) and margins (east vs. west) using linear mixed‐effect models with family and genus as nested random effects. We further assess the relationship between species range endpoint distribution and latitudinal temperature gradient using generalized linear models. Results: We found strong positive relationships between the number of species northern range endpoints and the steepness of the latitudinal sea surface temperature gradient on the western margins of the Atlantic and Pacific Oceans, but no relationship on the eastern margins of these ocean basins. The strongest predictors of range extent in our global model are ocean basin/margin and depth range. Maximum body length, schooling behaviour and use of multiple habitats are also significant predictors of range extent in the global model. The factors influencing range extent differ by basin and margin. Main conclusions: There are broad differences in patterns of species range extent and distribution of species ranges among basins/margins. These differences appear to be driven in part by variation in latitudinal water temperature gradient between basin margins. Our data suggest that sharp latitudinal temperature gradients may pose a barrier to dispersal and range expansion along the western margins of the Atlantic and Pacific Oceans, but not necessarily on the eastern margins. Our work also suggests that several post‐settlement traits may be associated with range extent either globally or in some temperate basins.
Alkenone carbon isotopic fractionation and sea surface temperature trends from 30 to 16 Ma. Sites IODP 1406, ODP 1168 and ODP 925
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Equatorial waves for: A prediction attempt using equatorial waves for tropical sea surface temperature anomaly by Atlantic zonal mode
<p>The dataset is the wave-induced geopotential output from linear ocean models and potential energy flux by a group-velocity-based wave energy flux scheme in the period (1992–2016), which is involved in building a lightweight model, as well as showing a simple instance of utilizing the wave energy transfer for the prediction of Atlantic Niño/Niñas.</p>
Sub-Mesoscale Ocean Dynamics Experiment: Surface currents and Sea Surface Temperature
<p>Airborne observations of surface currents from Doppler Scatterometer and sea surface temperature from infrared camera.</p> <p><span>This data set is derived from the S-MODE project <span> </span><span><a title="https://urldefense.us/v3/__https:/github.com/podaac/2022-SMODE-Open-Data-Workshop__;!!PvBDto6Hs4WbVuu7!KGw6WDLV5oVZZv5MSJfZzLeZUUOOanKvBtRTARLrqCGRTLJl1FNP0nby2uQNCVA7GcoulOIL0eeT0ifzTu9iHii22cisZMe8$" href="https://urldefense.us/v3/__https:/github.com/podaac/2022-SMODE-Open-Data-Workshop__;!!PvBDto6Hs4WbVuu7!KGw6WDLV5oVZZv5MSJfZzLeZUUOOanKvBtRTARLrqCGRTLJl1FNP0nby2uQNCVA7GcoulOIL0eeT0ifzTu9iHii22cisZMe8$">https://github.com/podaac/2022-SMODE-Open-Data-Workshop</a></span>.<br></span></p> <p> </p> <p>Description of the data:</p> <p>DopplerScatt surface current spatial resolution of 200 m</p> <p>MOSES SST nominal spatial resolution of 10 m, but interpolated to DopplerScatt grid at 200 m resolution.</p> <p>Description of the name: SMODE_DScatt_and_MOSES_20221023_120546_ver_L2E_Smoothing_1km_Submesoscale_Frontogenesis.nc</p> <p>Date = 20221023_120546 (YYYY/mm/dd HH:MM:SS)</p> <p>Level of smoothing = 1 kilometer</p> <p>Submesoscale_Frontogenesis = The variables included in the file are necessary to compute frontogenesis</p> <p> </p> <p>Variables:</p> <p>SST_moses = sea surface temperature</p> <p>U_hp = high-pass east-west velocity component</p> <p>V_hp = high-pass north-south velocity component</p> <p>Tx = SST gradients in east-west direction</p> <p>Ty = SST gradients in north-south direction</p> <p>U_hp_(rot,div) = high-pass east-west velocity component rotational and divergent component</p> <p>V_hp_(rot,div) = high-pass north-south velocity component rotational and divergent component</p> <p>Fs_rot = Frontogenetic tendency due to the rotational component of the velocity field</p> <p>Fs_div = Frontogenetic tendency due to the divergent component of the velocity field</p> <p>Fs_tot = Frontogenetic tendency</p> <p>Strain_rot = Strain deformation due to the rotational component of the velocity field smoothed at 1 km</p> <p>Strain_div = Strain deformation due to the divergent component of the velocity field smoothed at 1 km</p> <p>rv_lp = relative vorticity smoothed at 1 km</p> <p>dv_lp = divergence smoothed at 1 km</p> <p>Strain_lp = strain deformation smoothed at 1 km</p> <p>Strain_normal = normal strain deformation smoothed at 1 km</p> <p>Strain_shear = shear component of the strain deformation smoothed at 1 km</p> <p> </p> <p> </p>
The bulk parameterizations of turbulent air-sea fluxes in NEMO4: the origin of Sea Surface Temperature differences in a global model study
<p>This repository contains the code and the data used to produce the results of "The bulk parameterizations of turbulent air-sea fluxes in NEMO4: the origin of Sea Surface Temperature differences in a global model study" a discussion paper by G. Bonino, D. Iovino, L. Brodeau, S. Masina submitted to Geoscientific Model Development.</p> <p>- DATA.tar contains the 5 days model outputs to produce the figures in the manuscript.</p> <p>- CODE.tar contains the code and the namelists to run the experiments. The namelists and the modified code for run each experiments are available in the subfolder CODE/cfgs/. </p>
Regridded subset of MODIS chlorophyll, OC-CCI chlorophyll, MODIS sea surface temperature; basin bathymetric depth
<p>The North Atlantic phytoplankton bloom depends on a confluence of environmental factors that drive transient periods of exponential phytoplankton growth and interannual variability in bloom magnitude. I analyze interannual bloom variability in the North Atlantic via extreme value theory where the Generalized Extreme Value Distribution (GEVD) is fitted spatially to annual maxima of satellite-measured surface chlorophyll. I find excellent agreement between the observed distribution of interannual bloom maxima and those predicted from the GEVD. The spatial distribution of fitted GEVD parameters closely follows basin bathymetry where the largest extremes and heaviest distribution tails are found on the continental shelves and slopes. Trend analyses suggest weak evidence for changes in GEVD parameters, despite regional trends in mean chlorophyll levels and sea surface temperature. These results provide a framework to quantify interannual bloom variability and call for further work examining how extreme blooms propagate through food webs and contribute to carbon export.</p>
Record low Arctic sea ice extent in 2012 linked to two-year La Niña-driven sea surface temperature pattern
<p class="Abstract"><span>Arctic summer sea ice decline accelerated from the mid-2000s to 2012, with the 2012 record low remaining unbroken. While frequent La Niña events during this period have been suggested as a driver of this trend acceleration, no convincing evidence has been presented. Here, using a climate model nudged to observed pan-tropical sea surface temperatures (SST), we show that the back-to-back La Niña events during 2010–2011, followed by a North Pacific cooling and a marginal El Niño, were a key contribution to the 2012 record low. Specifically, the La Niña events in 2010–2011 warmed the Arctic Pacific sector, whereas tropical SST anomalies in 2012 strengthened the Greenland high pressure, leading to an Arctic dipole-like pressure pattern and strengthening of transpolar ice drift. These Arctic temperature and circulation anomalies led to the record low sea ice extent in 2012, highlighting the strong influence of tropical SSTs on Arctic climate.</span></p>
Sea-surface temperature anomalies mediate changes in fish richness and abundance in Western North Atlantic and Gulf of Mexico estuaries
<p class="MsoNormal"><strong><span>Aim: </span></strong><span>Anthropogenic-driven warming of marine systems has resulted in a series of biological and physiological responses that are fundamentally altering ecosystem structure. Because estuaries exist at the land-ocean interface, they are particularly vulnerable to the effects of ocean warming as they can undergo rapid biogeochemical and hydrological shifts due to climate and land-use change. We explored how fish diversity structures—turnover, richness and abundance—have changed in the western North Atlantic and Gulf of Mexico estuaries through space and time and the drivers of change. </span></p> <p class="MsoNormal"><span><strong>Location:</strong> North Atlantic and Northern Gulf of Mexico</span></p> <p class="MsoNormal"><strong><span>Taxa</span></strong><span>: Fish</span></p> <p class="MsoNormal"><strong><span>Results:</span></strong><span> We found that species richness and abundance, turnover have increased in North Atlantic and northern Gulf of Mexico estuaries in the last 3 decades. These changes were mediated largely by sea-surface temperature anomalies, especially in more northern estuaries where warming has been relatively pronounced. </span><span>There is also an indication that urbanization, perhaps through habitat fragmentation and/or fisheries activities may be contributing to the increase in fish richness in many of these estuaries. </span></p> <p class="MsoNormal"><strong><span>Main Conclusion: </span></strong><span>The increasing trajectory of turnover in many of the estuaries suggests that the fish communities have changed fundamentally from the baselines. A fundamental change in community composition can lead to an irreversible trophic imbalance or alternative stable states among other outcomes. Thus, predicting how shifting community structures might influence food webs, ecosystem stability and human resource use remains a pertinent task.</span></p>
Data used in "Marine heatwaves make more contribution to changing air–water exchange of semi-volatile organic compounds than mean sea surface temperature raising"
<p>Data used in "Marine heatwaves make more contribution to changing air–water exchange of semi-volatile organic compounds than mean sea surface temperature raising"</p>
Data to plot figures in Flux Adjustment on Seasonal-Scale Sea Surface Temperature Drift written by the Authors
<p>These are data for plotting the figures shown in Flux Adjustment on Seasonal-Scale Sea Surface Temperature Drift written by Ryusuke Masunaga et al.</p> <p>The directory names correspond to the figure numbers in the paper. Please contact the Authors if you have any questions.</p> <p>In the grd files, data are stored as single precision float.</p>
The relative influence of sea surface temperature anomalies on the benthic composition of an Indo-Pacific and Caribbean coral reef over the last decade
<p>Rising ocean temperatures are the primary driver of coral reef declines throughout the tropics. Such declines include reductions in coral cover that facilitate the monopolisation of the benthos by other taxa such as macroalgae, resulting in reduced habitat complexity and biodiversity. Long term monitoring projects present rare opportunities to assess how sea surface temperature anomalies (SSTAs) influence changes in the benthic composition of coral reefs across distinct locations. Here, using extensively monitored coral reef sites from Honduras (in the Caribbean Sea), and from the Wakatobi National Park located in the centre of the coral triangle of Indonesia, we assess the impact of global warming on coral reef benthic compositions over the period 2012-2019. Bayesian Generalised Linear Mixed effect Models revealed increases in sponge, and hard coral coverage through time, while rubble coverage decreased at the Indonesia location. Conversely, the effect of sea surface temperature anomalies (SSTA) did not predict any changes in benthic coverage. At the Honduras location, algae and soft coral coverage increased through time, while hard coral and rock coverage were decreasing. The effects of SSTA at the Honduras location included increased rock coverage, but reduced sponge coverage, indicating disparate responses between both systems under SSTAs. However, redundancy analyses showed intra-location site variability explained the majority of variance in benthic composition over the course of the study period. Our findings show that SSTAs have differentially influenced the benthic composition between the Honduras and the Indonesia coral reefs surveyed in this study. However, large intra-location variance which explains the benthic composition at both locations indicates that localised processes have a predominant role for explaining benthic composition over the last decade. The sustained monitoring effort is critical for understanding how these reefs will change in their composition as global temperatures continue to rise through the Anthropocene.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.