Climate variability in the Norwegian Sea was investigated in terms of ocean heat and freshwater contents of Atlantic water above a reference surface, using hydrographic data during spring 1951–2010. The main processes acting on this variability were examined and then quantified. The area-averaged water mass cooled and freshened, but a deepening of the reference surface resulted in a positive trend in the heat content of 0.3 W m−2. Air-sea heat fluxes explained about half of the interannual variability in heat content. The effect of the advection of Atlantic and Arctic waters on the variability varied with time, apparently due to large-scale changes in the ocean circulation. The data are consistent with the explanation that changing wind patterns caused buffering and then release of Arctic water in the Iceland Sea during the late 1960s to early 1970s, and this caused large hydrographic changes in the Norwegian Sea.

NOAA High-resolution Blended Analysis of Daily SST and Ice. Data is from Sep 1981 and is on a 1/4 deg global grid.

The principal component (PC)-based indices of the North Atlantic Oscillation (NAO) are the time series of the leading Empirical Orthogonal Function (EOF) of SLP anomalies over the Atlantic sector, 20°-80°N, 90°W-40°E. These indices are used to measure the NAO throughout the year, tracking the seasonal movements of the Icelandic low and Azores high. These movements are illustrated in the Figures on this page. Positive values of the NAO index are typically associated with stronger-than-average westerlies over the middle latitudes, more intense weather systems over the North Atlantic and wetter/milder weather over western Europe.

NCAR was established by the National Science Foundation in 1960 to provide the university community with world-class facilities and services that were beyond the reach of any individual institution. More than a half-century later, we are still delivering on that mission. NCAR provides the atmospheric and related Earth system science community with state-of-the-art resources, including supercomputers, research aircraft, sophisticated computer models, and extensive data sets. From its founding, NCAR was meant to provide the atmospheric research community with the shared resources necessary to work on the most important scientific problems of the day. Not much has changed. The hundreds of scientists who work here research all things atmospheric — which includes everything from the microphysics of cloud formation and the chemistry of air pollution to large-scale planetary waves and the impact of increased greenhouse gases on our climate. Since the atmosphere interacts with everything it touches, its crucial to investigate those interactions, too.

A Daily resolution North Atlantic Oscillation Index from (01/01/1850) to (31/12/2014). The index is derived from the difference in atmospheric sea-level pressure values between the Azores and Iceland. The article describing the NAO index is currently under revision at Geoscience Data Journal.

NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC) is located at NASA's Jet Propulsion Laboratory in Pasadena, California. PO.DAAC manages and provides tools and services for NASA's oceanographic and hydrologic data (satellite, airborne, and in-situ) to enable a greater understanding of the physical processes and conditions of the global ocean. Measurements include gravity, ocean winds, sea surface temperature, ocean surface topography, sea surface salinity, and circulation. The data support a wide range of applications including climate research, weather prediction, resource management, policy, and the stewardship of ocean data resources.

The Atlantic Multi-decadal Oscillation (AMO) has been identified as a coherent mode of natural variability occurring in the North Atlantic Ocean with an estimated period of 60-80 years. It is based upon the average anomalies of sea surface temperatures (SST) in the North Atlantic basin, typically over 0-80N. To remove the climate change signal from the AMO index, users typically detrend the SST data at each gridpoint or detrend the spatially averaged time series. Trenberth and Shea (2006) recommend that the detrending be done by subtracting the global-mean SST anomaly time series from the spatially averaged time series. See the Expert Guidance by Dr. Kevin Trenberth for the rationale for the global-mean detrending approach. The Expert Guidance by Dr. Rong Zhang discusses the impacts and mechanisms of the AMO.

The European Marine Observation and Data Network (EMODnet) is a long-term, marine-data initiative funded by the European Maritime and Fisheries Fund which, together with the Copernicus space programme and the Data Collection Framework for fisheries, implements the EU’s Marine Knowledge 2020 strategy. EMODnet Physics (www.emodnet-physics.eu) is one of the seven domain-specific portals of the European Marine Observation and Data Network (EMODnet). EMODnet-Physics map portal (www.emodnet-physics.eu/map) provides a single point of access to validated in situ datasets, products and their physical parameter metadata of European Seas and global oceans. More specifically, time series and datasets are made available, as recorded by fixed platforms (moorings, tide gauges, HF radars, etc.), moving platforms (ARGO, Lagrangian buoys, ferryboxes, etc.) and repeated observations (CTDs, etc.). The available themes are the temperature of the water column, the salinity of the water column, horizontal velocity of the water column, sea level and sea level trends, wave height and period, wind and atmospheric pressure, optical properties (e.g. light attenuation, back scattering, turbidity, etc.), underwater sound pressure level (acoustic pollution), river runoff, other biogeochemical data (e.g. chlorophyll, dissolved oxygen, etc.), sea-ice coverage. Acquisition of these physical parameters is largely an automated process based on a “federated” network infrastructure linking data providers and other marine data aggregating infrastructure. In particular, EMODnet Physics is strongly federated with two other European data aggregating infrastructures. One is the Copernicus Marine Environment Monitoring Service - In Situ Thematic Assembly Centre for operational data flow, while historical validated datasets are organised in collaboration with SeaDataNet and its network of National Oceanographic Data Centres. The NRT data go through a stricter quality control before NODCs validate the datasets for long-term storage and stewardship. This validation process ends when the metadata of the processed dataset are published in a CDI (Common Data Index). CMEMS-INSTAC and SDN-NODC subsets are integrated with other available sources to make the most comprehensive physical parameter data catalogues available. Thanks to international collaborative relationships to provide data access to – and preview for – coastal data in non-European areas (e.g. NOAA platforms for the US, IAPB platforms for the Arctic area, IMOS for Australia and others), EMODnet Physics catalogues are going beyond European borders to offer an even more exhaustive entry point to global-ocean physical observations.

The Joint WMO-IOC Technical Commission for Oceanography and Marine Meteorology Observing Programmes Support Centre, provides technical coordination at international level for the sustained elements of the Global Ocean Observing System. The Centre monitors in real-time the status of the observing networks and provides a toolbox to evaluate their performance and optimize their implementation and data flow. Currently OceanOPS monitors the Argo profiling floats, the DBCP surface drifters, coastal and tropical moorings, ice buoys, tsunami buoys, the OceanSITES moorings time-series, the GO-SHIP hydrographic reference lines, the SOT mat/ocean ship based observations and the GLOSS sea level tide gauges. A number of other observing systems are being added gradually, including ocean gliders, polar systems, marine mammals and potentially HF radars.

Several climate indices, regarding Atlantic Basin: - North Atlantic Oscillation - Southern Oscillation Index - Bivariate ENSO Timeseries - Tropical Northern Atlantic Index - Tropical Southern Atlantic Index - Oceanic Niño Index - Multivariate ENSO Index (MEI V2) - North Tropical Atlantic SST Index - ENSO precipitation index - Northeast Brazil Rainfall Anomaly - Solar Flux (10.7cm) - Global Mean Lan/Ocean Temperature