This dataset consists of biogeochemical parameters of nitrate, phosphate, oxygen, chlorophyll-a and phytoplankton concentrations, net primary productivity and attenuation generated by the POLCOMS-ERSEM coupled hydrodynamic-ecosystem model. The modelled dataset is from the Atlantic Margin Model (AMM) implementation, extending from 40.1 to 64.9 degrees latitude north and from 19.9 degrees longitude west to 13 degrees longitude east. The dataset is on a latitude/longitude grid with latitudinal resolution of 12.3 km and longitudinal resolution between 7.8 km and 14.2 km. The data are available as monthly averages saved in annual files for the 38 year period from January 1967 to December 2004. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) and the Plymouth Marine Laboratory European Regional Seas Ecosystem Model (ERSEM). This work is funded by the Natural Environment Research Council (NERC) National Capability funding in order to investigate the biogeochemical factors which affect primary production in the northwest European continental shelf. The dataset was generated by the UK National Oceanography Centre, Liverpool. The dataset consists of 38 data files in Climate and Forecast (CF) compliant NetCDF format. More information about the modelled data set and its applications can be found in Holt et al. (2012).
The dataset consists of northward and eastward baroclinic and barotropic current vectors derived from a 40 year run of the Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) numerical model, run from 01 January 1964 to 31 December 2004. The dataset consists of 41 data files in Climate and Forecast (CF) compliant NetCDF format. The data are supplied as a gridded dataset covering the entire northwest European continental shelf and extending out into the Atlantic Ocean. The grid resolution varies from 7.8 km to 14.2 km along the longitudinal axis and is at 12.3 km on the latitudinal axis. The model contains 40 depth layers. The model run was from 01 January 1964 to 31 December 2004. The barotropic currents were generated every 20 seconds, while the baroclinic currents were generated every 300 seconds. These generated currents were then averaged over a 25 hour tidal cycle to remove tidal current influence from the data. The dataset consists of 41 data files in Climate and Forecast (CF) compliant NetCDF format. The model simulations were run on the HECTOR supercomputer managed by the University of Edinburgh. The data were generated by the National Oceanography Centre (NOC) Liverpool as part of Natural Environment Research Council (NERC) National Capability (NC) funding looking at multi-decadal variability and trends in temperature of the northwest European continental shelf.
The dataset contains 39148 years of sea level data from 1355 station records, with some stations having alternative versions of the records provided from different sources. GESLA-2 data may be obtained from www.gesla.org. The site also contains the file format description and other information. The text files contain headers with lines of metadata followed by the data itself in a simple column format. All the tide gauge data in GESLA-2 have hourly or more frequent sampling. The basic data from the US National Atmospheric and Oceanic Administration (NOAA) are 6-minute values but for GESLA-2 purposes we instead settled on their readily-available 'verified hourly values'. Most UK records are also hourly values up to the 1990s, and 15-minute values thereafter. Records from some other sources may have different sampling, and records should be inspected individually if sampling considerations are considered critical to an analysis. The GESLA-2 dataset has global coverage and better geographical coverage that the GESLA-1 with stations in new regions (defined by stations in the new dataset located more than 50 km from any station in GESLA-1). For example, major improvements can be seen to have been made for the Mediterranean and Baltic Seas, Japan, New Zealand and the African coastline south of the Equator. The earliest measurements are from Brest, France (04/01/1846) and the latest from Cuxhaven, Germany and Esbjerg, Denmark (01/05/2015). There are 29 years in an average record, although the actual number of years varies from only 1 at short-lived sites, to 167 in the case of Brest, France. Most of the measurements in GESLA-2 were made during the second half of the twentieth century. The most globally-representative analyses of sea level variability with GESLA-2 will be those that focus on the period since about 1970. Historically, delayed-mode data comprised spot values of sea level every hour, obtained from inspection of the ink trace on a tide gauge chart. Nowadays tide gauge data loggers provide data electronically. Data can be either spot values, integrated (averaged) values over specified periods (e.g. 6 minutes), or integrated over a specified period within a longer sampling period (e.g. averaged over 3 minutes every 6 minutes). The construction of this dataset is fundamental to research in sea level variability and also to practical aspects of coastal engineering. One component is concerned with encouraging countries to install tide gauges at locations where none exist, to operate them to internationally agreed standards, and to make the data available to interested users. A second component is concerned with the collection of data from the global set of tide gauges, whether gauges have originated through the GLOSS programme or not, and to make the data available. The records in GESLA-2 will have had some form of quality control undertaken by the data providers. However, the extent to which that control will have been undertaken will inevitably vary between providers and with time. In most cases, no further quality control has been made beyond that already undertaken by the data providers. Although there are many individual contributions, over a quarter of the station-years are provided by the research quality dataset of UHSLC. Contributors include: British Oceanographic Data Centre; University of Hawaii Sea Level Center; Japan Meteorological Agency; US National Oceanic and Atmospheric Administration; Puertos del Estado, Spain; Marine Environmental Data Service, Canada; Instituto Espanol de Oceanografica, Spain; idromare, Italy; Swedish Meteorological and Hydrological Institute; Federal Maritime and Hydrographic Agency, Germany; Finnish Meteorological Institute; Service hydrographique et oc?anographique de la Marine, France; Rijkswaterstaat, Netherlands; Danish Meteorological Institute; Norwegian Hydrographic Service; Icelandic Coastguard Service; Istituto Talassographico di Trieste; Venice Commune, Italy;
This dataset consists of model outputs from ensemble simulations of an idealised Southern Ocean using a quasi-geotrophic model called Q-GCM. As such, there are no calendar dates associated with it. Two models were generated: Initial Condition Perturbation Ensemble (ICPE) experiments model output covers years 162-168 of the simulation; Boundary Condition Perturbation Ensemble (BCPE) experiments model output covers years 150-180 of the simulation. The models created form the practical element of the NERC project ‘The structure and stability of transport and fixing barriers within the Antarctic Circumpolar Current’. The project aims to quantify the relationship between Southern Ocean winds, the eddy saturation mechanism and the branch-like structure of the Antarctic Circumpolar Current. The work was funded by means of a Natural Environment Research Council (NERC) Discovery Science New Investigators Grant ‘NE/I001794/1’. The grant ran from 02 August 2010 to 21 September 2012 and was led by Dr. Chris Wilson at the UK’s National Oceanography Centre (NOC). The model simulation data were submitted to the British Oceanographic Data Centre (BODC) for archive and are stored in the originator format.
The dataset consists of temperature, salinity and sea surface height data generated from a 40 year run of the Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) numerical model. The dataset consists of 41 data files in Climate and Forecast (CF) compliant NetCDF format. The data are supplied as a gridded dataset covering the entire northwest European continental shelf and extending out into the Atlantic Ocean. The grid resolution varies from 7.8 km to 14.2 km along the longitudinal axis and is at 12.3 km on the latitudinal axis. The model contains 40 depth layers. The model run was from 01 January 1964 to 31 December 2004 and the generated data were averaged over a 25 hour tidal cycle to create daily mean values. The data were generated from the Proudman Oceanographic Laboratory Coastal Ocean Modelling System (POLCOMS) numerical model. The model simulations were run on the HECTOR supercomputer managed by the University of Edinburgh. The dataset was generated to look at multi-decadal variability and trends in temperature of the northwest European continental shelf. The data were generated by the National Oceanography Centre (NOC) Liverpool as part of Natural Environment Research Council (NERC) National Capability (NC) funding.
This dataset comprises Acoustic Wave and Current (AWAC) profiler data collected in the coastal waters of St Vincent, in the Caribbean Sea. The data were collected betewen 26th July 2018 and 10th October 2018 and 15th January 2019 to 20th March 2019 as part fo two deployments. An AWAC profiler was deployed at approximately 10 metres depth in the shallow coastal waters, south of Georgetown, St Vincent. The dataset is part of the Commonwealth Marine Economies Programme which was launched in 2016 to help support the marine economies of commonwealth small island developing states (SIDS).
This dataset contains tabulations of the heights and times of tidal high and low water at St. Helena from 1 October 1826 to 31 October 1827. The tide was recorded by an instrument designed by Manuel Johnson, a future President of the Royal Astronomical Society, while waiting for an observatory to be built. The tabulations in this dataset were obtained by inspection of photographs of Johnson's tabulation sheets that are held in the archive RGO 6/500 in the Royal Greenwich Observatory collection at Cambridge University Library. It is an important record in the history of tidal science, as the only previous measurements at St. Helena had been those made by Nevil Maskelyne in 1761, and there were to be no other systematic measurements until the late 20th century. Johnson’s tide gauge, of a curious but unique design, recorded efficiently the height of every tidal high and low water for at least 13 months, in spite of requiring frequent re-setting. These heights compare very reasonably with a modern tidal synthesis based on present-day tide gauge measurements from the same site. Johnson’s method of timing is unknown, but his calculations of lunar phases suggest that his tidal measurements were recorded in Local Apparent Time. Unfortunately, the recorded times are found to be seriously and variably lagged by many minutes. Johnson’s data have never been fully published, but his manuscripts have been safely archived and are available for inspection at Cambridge University. His data have been converted to computer files as part of this study for the benefit of future researchers. This dataset supports the paper “Cartwright, D.E.; Woodworth, P.L.; Ray, R.D.. 2017 Manuel Johnson's tide record at St. Helena. History of Geo- and Space Sciences”. Richard Ray (National Aeronautics and Space Administration) and Philip Woodworth (National Oceanography Centre) modified and added figures to David E. Cartwright’s original draft paper and sections of text have been updated, but otherwise the paper is as he intended it. This work was undertaken when Philip Woodworth was an Honorary Research Fellow at the National Oceanography Centre in Liverpool in receipt of an Emeritus Fellowship from the Leverhulme Trust. Part of this work was funded by UK Natural Environment Research Council National Capability funding.
This dataset comprises 32 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in June 2010 from stations throughout Liverpool Bay. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the National Oceanography Centre, Liverpool as part of the National Oceanography Centre (formerly the Proudman Oceanographic Laboratory), Liverpool Bay/Irish Sea Coastal Observatory initiative.
The RAPID-AMOC (Rapid Climate Change - Atlantic Meridional Overturning Circulation) data set consists of pressure, current velocities, temperature, salinity, density, oxygen, alkalinity, pH, PCO2 and inorganic carbon time series. Measurements are collected by moored instruments deployed in arrays across the Atlantic at approximately 26.5N for the Monitoring the Atlantic Meridional Overturning Circulation at 26.5N (MOC) project and the Atlantic BiogeoChemical Fluxes (ABC Fluxes) project. The data set also consists of conductivity- temperature-depth (CTD) profiles, and ships' underway monitoring system meteorology and surface hydrography collected during the mooring deployment and servicing cruises. The RAPID-AMOC data set follows on from the original Rapid Climate Change (RAPID) Programme oceanographic dataset and the RAPID-WATCH dataset. It spans data collected from 2015 to the present and is intended to continue to collect data until approximately 2020. The main aims of the RAPID-AMOC Programme are to provide oceanographic measurements that continue the long time series of the Atlantic Meridional Overturning Circulation to be derived for use in climate change research. The MOC and ABC Fluxes projects are led by scientists at the National Oceanography Centre in Southampton.
The RAPID-WATCH (Rapid Climate Change - Will the Atlantic Thermohaline Circulation Halt?) data set consists of pressure, current velocities, temperature, salinity and density time series. Measurements are collected by moored instruments deployed in arrays across the Atlantic at approximately 26.5N for the Monitoring the Atlantic Meridional Overturning Circulation at 26.5N (MOC) project and at each of three sections across the US and Canadian continental slope between Cape Cod and the Grand Banks for the Western Atlantic Variability Experiment (WAVE) project. The data set also consists of conductivity- temperature-depth (CTD) profiles, and ships' underway monitoring system meteorology and surface hydrography collected during the mooring deployment and servicing cruises. The RAPID-WATCH data set follows on from the original Rapid Climate Change (RAPID) Programme oceanographic dataset (2004-2008). It spans from 2008 until 2015. The RAPID-AMOC data set is expected to extend the RAPID_WATCH dataset to 2020. The main aims of the RAPID-WATCH Programme are to provide oceanographic measurements that allow a decade-long time series of the Atlantic Meridional Overturning Circulation to be derived for use in climate change research. The MOC project is led by scientists at the National Oceanography Centre in Southampton, whilst work on the WAVE element is led by the Liverpool site of the National Oceanography Centre.