ALBERT

Description: This dataset include microstructure data of turbulent kinetic energy dissipation rates measured using a tow-yo microstructure profiler, Underway-VMP (UVMP), hydrographic data measured using a tow-yo Rinko CTD profiler (URINKO) and by the UVMP, shipboard ADCP data and nitrate concentrations derived using a relation between in-situ nitrate measurements and density of seawater measured using deep-SUNA, water sampling, UVMP and URINKO. These data were obtained in the single observation campaign in the Kuroshio Current flowing near the Hyuganada Sea, off southeast of Kyushu Japan. In addition, topographic data, ETOPO1 and satellite sea surface height data on the observation date, November 25, 2019 are provided.

Description: Antarctic precipitation is the main positive component in the surface mass balance of the Antarctic ice sheet, thus it is closely related to the evolution of the sea level worldwide. The lack of observations, at both surface and the vertical structure, have hindered the understanding of this important component. Recently a study of the vertical structure of the precipitation in Antarctica have been carried out using micro rain radar (MRR) observations (Durán-Alarcón et al., 2019, TC) at two different sites: Dumont d'Urville (DDU) and Princess Elisabeth (PE) stations. The present collection consists in 2-years of vertical profiles of effective reflectivity (Ze), mean Doppler velocity (W), spectral width (SW) and snowfall rate (S) derived from a K-band vertically-pointing micro rain radar (MRR), obtained at DDU in the framework of the Antarctic Precipitation Remote Sensing from Surface and Space project (APRES3). The observation range of the profiles is between 300 m and 3 km above ground level, with 100m and 1h of vertical and temporal resolutions, respectively. Vertical profiles were separated into surface precipitation and virga (i.e., precipitation that completely sublimes before reaching the surface) to evaluate the impact of virga on the structure of the vertical profiles. The strong katabatic winds blowing at DDU induce a decrease in Ze near to the ground due to the sublimation of the snowfall particles, and the W and SW increases as the height decreases. It was observed that virga is a frequent phenomenon at DDU, since more than a third (36%) of the profiles of precipitation observed with MRR corresponded to virga cases (more details in Durán-Alarcón et al., 2019, TC). This unique dataset of Antarctic precipitation observations in the low troposphere represents a great opportunity to better understand the current numerical models and satellite observations.

Description: We used environmental niche modelling along with the best available species occurrence data and environmental parameters to model habitat suitability for key cold-water coral and commercially important deep-sea fish species under present-day (1951-2000) environmental conditions and to forecast changes under severe, high emissions future (2081-2100) climate projections (RCP8.5 scenario) for the North Atlantic Ocean (from 18°N to 76°N and 36°E to 98°W). The VME indicator taxa included Lophelia pertusa , Madrepora oculata, Desmophyllum dianthus, Acanela arbuscula, Acanthogorgia armata, and Paragorgia arborea. The six deep-sea fish species selected were: Coryphaenoides rupestris, Gadus morhua, blackbelly Helicolenus dactylopterus, Hippoglossoides platessoides, Reinhardtius hippoglossoides, and Sebastes mentella. We used an ensemble modelling approach employing three widely-used modelling methods: the Maxent maximum entropy model, Generalized Additive Models, and Random Forest. This dataset contains: 1) Predicted habitat suitability index under present-day (1951-2000) and future (2081-2100; RCP8.5) environmental conditions for twelve deep-sea species in the North Atlantic Ocean, using an ensemble modelling approach.  2) Climate-induced changes in the suitable habitat of twelve deep-sea species in the North Atlantic Ocean, as determined by binary maps built with an ensemble modelling approach and the 10-percentile training presence logistic (10th percentile) threshold. 3) Forecasted present-day suitable habitat loss (value=-1), gain (value=1), and acting as climate refugia (value=2) areas under future (2081-2100; RCP8.5) environmental conditions for twelve deep-sea species in the North Atlantic Ocean. Areas were identified from binary maps built with an ensemble modelling approach and two thresholds: 10-percentile training presence logistic threshold (10th percentile) and maximum sensitivity and specificity (MSS). Refugia areas are those areas predicted as suitable both under present-day and future conditions. All predictions were projected with the Albers equal-area conical projection centred in the middle of the study area. The grid cell resolution is of 3x3 km.

Description: This collection of datasets contains data measured by two weather stations related to the OBSEA platform since Feb, 2010. The first weather station is deployed at the OBSEA buoy, the second is located at the OBSEA shore station on top of the UPC building. OBSEA is a permanent underwater cabled seabed observatory located in front of the Catalan's coast near Barcelona, at 20 m depth which is used as a test site for different experiments related with marine sensors. It has a sea station and a ground station, which include a surface buoy equipped with weather station and camera and a coastal cabled system (seabed platform). OBSEA is part of the European Multidisciplinary Seafloor Observatory (EMSO) infrastructure and participates as a Coastal Observatory data provider and Test Site on the JERICO-RI. For a comfortable handling of these weather station data they were summarized monthly to one data set each. A complete list of the datasets belonging to this collection can be found at the end of this page.

Description: This collection of datasets contains current and wave data measured by an ADCP instrument related to the OBSEA platform since Mar, 2010. OBSEA is a permanent underwater cabled seabed observatory located in front of the Catalan's coast near Barcelona, at 20 m depth which is used as a test site for different experiments related with marine sensors. It has a sea station and a ground station, which include a surface buoy equipped with weather station and camera and a coastal cabled system (seabed platform). OBSEA is part of the European Multidisciplinary Seafloor Observatory (EMSO) infrastructure and participates as a Coastal Observatory data provider and Test Site on the JERICO-RI. For a comfortable handling of these weather station data they were summarized monthly to one data set each. A complete list of the datasets belonging to this collection can be found at the end of this page.