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  • 1
    Publication Date: 2022-01-31
    Description: The Mediterranean community represented in this paper is the result of more than 30 years of EU and nationally funded coordination, which has led to key contributions in science concepts and operational initiatives. Together with the establishment of operational services, the community has coordinated with universities, research centers, research infrastructures and private companies to implement advanced multi-platform and integrated observing and forecasting systems that facilitate the advancement of operational services, scientific achievements and mission-oriented innovation. Thus, the community can respond to societal challenges and stakeholders needs, developing a variety of fit-for-purpose services such as the Copernicus Marine Service. The combination of state-of-the-art observations and forecasting provides new opportunities for downstream services in response to the needs of the heavily populated Mediterranean coastal areas and to climate change. The challenge over the next decade is to sustain ocean observations within the research community, to monitor the variability at small scales, e.g., the mesoscale/submesoscale, to resolve the sub-basin/seasonal and inter-annual variability in the circulation, and thus establish the decadal variability, understand and correct the model-associated biases and to enhance model-data integration and ensemble forecasting for uncertainty estimation. Better knowledge and understanding of the level of Mediterranean variability will enable a subsequent evaluation of the impacts and mitigation of the effect of human activities and climate change on the biodiversity and the ecosystem, which will support environmental assessments and decisions. Further challenges include extending the science-based added-value products into societal relevant downstream services and engaging with communities to build initiatives that will contribute to the 2030 Agenda and more specifically to SDG14 and the UN's Decade of Ocean Science for sustainable development, by this contributing to bridge the science-policy gap. The Mediterranean observing and forecasting capacity was built on the basis of community best practices in monitoring and modeling, and can serve as a basis for the development of an integrated global ocean observing system.
    Type: Article , PeerReviewed
    Format: text
    Location Call Number Limitation Availability
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  • 2
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2014-04-15
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
    Format: application/zip
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2019-09-19
    Description: The Mediterranean community represented in this paper is the result of more than 30 years of EU and nationally funded coordination, which has led to key contributions in science concepts and operational initiatives. Together with the establishment of operational services, the community has coordinated with universities, research centers, research infrastructures and private companies to implement advanced multi-platform and integrated observing and forecasting systems that facilitate the advancement of operational services, scientific achievements and mission-oriented innovation. Thus, the community can respond to societal challenges and stakeholders needs, developing a variety of fit-for-purpose services such as the Copernicus Marine Service. The combination of state-of-the-art observations and forecasting provides new opportunities for downstream services in response to the needs of the heavily populated Mediterranean coastal areas and to climate change. The challenge over the next decade is to sustain ocean observations within the research community, to monitor the variability at small scales, e.g., the mesoscale/submesoscale, to resolve the sub-basin/seasonal and inter-annual variability in the circulation, and thus establish the decadal variability, understand and correct the model-associated biases and to enhance model-data integration and ensemble forecasting for uncertainty estimation. Better knowledge and understanding of the level of Mediterranean variability will enable a subsequent evaluation of the impacts and mitigation of the effect of human activities and climate change on the biodiversity and the ecosystem, which will support environmental assessments and decisions. Further challenges include extending the science-based added-value products into societal relevant downstream services and engaging with communities to build initiatives that will contribute to the 2030 Agenda and more specifically to SDG14 and the UN's Decade of Ocean Science for sustainable development, by this contributing to bridge the science-policy gap. The Mediterranean observing and forecasting capacity was built on the basis of community best practices in monitoring and modeling, and can serve as a basis for the development of an integrated global ocean observing system.
    Description: Published
    Description: Article 568
    Description: 4A. Oceanografia e clima
    Description: JCR Journal
    Keywords: observing and forecasting systems, sustained observations, ocean variability, FAIR data, climate, operational services, science with and for society, SDG's
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2023-01-13
    Keywords: Balearic Islands, western Mediterranean Sea; IBAMar
    Type: Dataset
    Format: application/zip, 843.9 kBytes
    Location Call Number Limitation Availability
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  • 5
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    Unknown
    PANGAEA
    In:  Balearic Center of the Instituto Español de Oceanografía | Supplement to: Aparicio-Gonzalez, Alberto; Lopez-Jurado, Jose Luis; Balbín, Rosa; Alonso, Juan Carlos; Amengual, Bartomeu; Jansa, Javier; Garcia, Maria Carmen; Moya, Francina; Serra, Mariano; Vargas-Yanez, Manolo (2015): IBAMar DATABASE: 4 decades of oceanographic sampling on the Western Mediterranean Sea. Data Science Journal, 13, 172-191, https://doi.org/10.2481/dsj.14-020
    Publication Date: 2024-02-16
    Description: IBAMar (http://www.ba.ieo.es/ibamar) is a regional database that puts together all physical and biochemical data obtained by multiparametric probes (CTDs equipped with different sensors), during the cruises managed by the Balearic Center of the Spanish Institute of Oceanography (COB-IEO). It has been recently extended to include data obtained with classical hydro casts using oceanographic Niskin or Nansen bottles. The result is a database that includes a main core of hydrographic data: temperature (T), salinity (S), dissolved oxygen (DO), fluorescence and turbidity; complemented by bio-chemical data: dissolved inorganic nutrients (phosphate, nitrate, nitrite and silicate) and chlorophyll-a. In IBAMar Database, different technologies and methodologies were used by different teams along the four decades of data sampling in the COB-IEO. Despite of this fact, data have been reprocessed using the same protocols, and a standard QC has been applied to each variable. Therefore it provides a regional database of homogeneous, good quality data. Data acquisition and quality control (QC): 94% of the data are CTDs Sbe911 and Sbe25. S and DO were calibrated on board using water samples, whenever a Rossetta was available (70% of the cases). All CTD data from Seabird CTDs were reviewed and post processed with the software provided by Sea-Bird Electronics. Data were averaged to get 1 dbar vertical resolution. General sampling methodology and pre processing are described in https://ibamardatabase.wordpress.com/home/). Manual QC include visual checks of metadata, duplicate data and outliers. Automatic QC include range check of variables by area (north of Balearic Islands, south of BI and Alboran Sea) and depth (27 standard levels), check for spikes and check for density inversions. Nutrients QC includes a preliminary control and a range check on the observed level of the data to detect outliers around objectively analyzed data fields. A quality flag is assigned as an integer number, depending on the result of the QC check.
    Type: Dataset
    Format: application/zip, 142 datasets
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-02-16
    Keywords: ATAME_0612; ATAME_0612_1006; ATAME_0612_1038; ATAME_0612_1040; ATAME_0612_1042; ATAME_0612_1044; ATAME_0612_1052; ATAME_0612_1054; ATAME_0612_1056; ATAME_0612_1058; ATAME_0612_1060; ATAME_0612_1062; ATAME_0612_1125; ATAME_0612_1127; ATAME_0612_1129; ATAME_0612_1131; ATAME_0612_1133; ATAME_0612_1135; ATAME_0612_1137; ATAME_0612_1143; ATAME_0612_1144; ATAME_0612_1146; ATAME_0612_1148; ATAME_0612_1150; ATAME_0612_1152; ATAME_0612_1154; ATAME_0612_1156; ATAME_0612_1191; ATAME_0612_1192; ATAME_0612_1220; ATAME_0612_1222; ATAME_0612_1224; ATAME_0612_1226; ATAME_0612_1228; ATAME_0612_1230; ATAME_0612_1232; ATAME_0612_1234; ATAME_0612_1236; ATAME_0612_1238; ATAME_0612_1239; ATAME_0612_1240; ATAME_0612_1241; ATAME_0612_1243; ATAME_0612_1245; ATAME_0612_1247; ATAME_0612_1249; ATAME_0612_1251; ATAME_0612_1253; ATAME_0612_1284; ATAME_0612_1285; ATAME_0612_1286; ATAME_0612_1287; ATAME_0612_1312; ATAME_0612_1314; ATAME_0612_1316; ATAME_0612_1319; ATAME_0612_1321; ATAME_0612_1323; ATAME_0612_1325; ATAME_0612_1327; ATAME_0612_1329; ATAME_0612_1330; ATAME_0612_1331; ATAME_0612_1333; ATAME_0612_1335; ATAME_0612_1337; ATAME_0612_1339; ATAME_0612_1341; ATAME_0612_1343; ATAME_0612_1345; ATAME_0612_1374; ATAME_0612_1375; ATAME_0612_1400; ATAME_0612_1402; ATAME_0612_1404; ATAME_0612_1408; ATAME_0612_1410; ATAME_0612_1412; ATAME_0612_1416; ATAME_0612_1418; ATAME_0612_1420; ATAME_0612_1422; ATAME_0612_1424; ATAME_0612_1426; ATAME_0612_1428; ATAME_0612_1490; ATAME_0612_1492; ATAME_0612_1494; ATAME_0612_1497; ATAME_0612_1499; ATAME_0612_1501; ATAME_0612_1503; ATAME_0612_1505; ATAME_0612_1507; ATAME_0612_1509; ATAME_0612_1511; ATAME_0612_1513; ATAME_0612_1585; ATAME_0612_1587; ATAME_0612_1588; ATAME_0612_1589; ATAME_0612_1591; ATAME_0612_1593; ATAME_0612_1595; ATAME_0612_1597; ATAME_0612_1599; ATAME_0612_1601; ATAME_0612_1605; ATAME_0612_1686; ATAME_0612_1690; ATAME_0612_1692; ATAME_0612_1696; ATAME_0612_1698; ATAME_0612_1702; ATAME_0612_1789; ATAME_0612_1791; ATAME_0612_1793; ATAME_0612_1795; ATAME_0612_1797; ATAME_0612_1799; ATAME_0612_1801; ATAME_0612_1895; ATAME_0612_1897; ATAME_0612_1899; ATAME_0612_1901; ATAME_0612_1903; ATAME_0612_2004; ATAME_0612_2006; ATAME_0612_2024; ATAME_0612_2614; ATAME_0612_2651; ATAME_0612_616; ATAME_0612_630; ATAME_0612_632; ATAME_0612_634; ATAME_0612_701; ATAME_0612_705; ATAME_0612_719; ATAME_0612_721; ATAME_0612_722; ATAME_0612_723; ATAME_0612_790; ATAME_0612_792; ATAME_0612_796; ATAME_0612_808; ATAME_0612_810; ATAME_0612_878; ATAME_0612_880; ATAME_0612_882; ATAME_0612_891; ATAME_0612_893; ATAME_0612_896; ATAME_0612_898; ATAME_0612_960; ATAME_0612_962; ATAME_0612_964; ATAME_0612_966; ATAME_0612_969; ATAME_0612_971; ATAME_0612_973; ATAME_0612_975; ATAME_0612_977; ATAME_0612_979; Balear Sea; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; Event label; Fluorescence, chlorophyll; Gear; LATITUDE; LONGITUDE; Oxygen; Pressure, water; Ramon Margalef; Salinity; Station label; Temperature, water; Turbidity (Formazin Turbidity Unit); Western Basin
    Type: Dataset
    Format: text/tab-separated-values, 18403 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2024-02-16
    Keywords: BALEAR-II; BALEAR-II_1; BALEAR-II_10; BALEAR-II_15; BALEAR-II_16; BALEAR-II_17; BALEAR-II_2; BALEAR-II_3; BALEAR-II_4; BALEAR-II_5; BALEAR-II_7; BALEAR-II_8; BALEAR-II_9; Balear Sea; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; Event label; Garcia del Cid; Gear; LATITUDE; LONGITUDE; Nitrate; Nitrite; Oxygen; Phosphate; Pressure, water; Salinity; Silicate; Station label; Temperature, water; Western Basin
    Type: Dataset
    Format: text/tab-separated-values, 1258 data points
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-02-16
    Keywords: Balear Sea; BALEAR-V; BALEAR-V_1; BALEAR-V_10; BALEAR-V_11; BALEAR-V_12; BALEAR-V_13; BALEAR-V_14; BALEAR-V_15; BALEAR-V_16; BALEAR-V_17; BALEAR-V_18; BALEAR-V_19; BALEAR-V_2; BALEAR-V_20; BALEAR-V_21; BALEAR-V_22; BALEAR-V_23; BALEAR-V_24; BALEAR-V_241; BALEAR-V_242; BALEAR-V_243; BALEAR-V_244; BALEAR-V_245; BALEAR-V_246; BALEAR-V_25; BALEAR-V_26; BALEAR-V_27; BALEAR-V_28; BALEAR-V_3; BALEAR-V_30; BALEAR-V_4; BALEAR-V_6; BALEAR-V_8; BALEAR-V_9; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; Event label; Garcia del Cid; Gear; LATITUDE; LONGITUDE; Nitrate; Nitrite; Oxygen; Phosphate; Pressure, water; Salinity; Silicate; Station label; Temperature, water; Western Basin
    Type: Dataset
    Format: text/tab-separated-values, 3447 data points
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2024-02-16
    Keywords: Balear Sea; BLUEFIN_0511; BLUEFIN_0511_1130; BLUEFIN_0511_1178; BLUEFIN_0511_1180; BLUEFIN_0511_1182; BLUEFIN_0511_1184; BLUEFIN_0511_1185; BLUEFIN_0511_1186; BLUEFIN_0511_1187; BLUEFIN_0511_1227; BLUEFIN_0511_1229; BLUEFIN_0511_1273; BLUEFIN_0511_1275; BLUEFIN_0511_1277; BLUEFIN_0511_1279; BLUEFIN_0511_1280; BLUEFIN_0511_1281; BLUEFIN_0511_1282; BLUEFIN_0511_1318; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; Event label; Fluorescence, chlorophyll; Gear; LATITUDE; LONGITUDE; Odon de Buen; Pressure, water; Salinity; Station label; Temperature, water; Turbidity (Formazin Turbidity Unit)
    Type: Dataset
    Format: text/tab-separated-values, 1728 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2024-02-16
    Keywords: Balear Sea; BLUEFIN_0711; BLUEFIN_0711_1085; BLUEFIN_0711_1130; BLUEFIN_0711_1178; BLUEFIN_0711_1185; BLUEFIN_0711_1192; BLUEFIN_0711_1227; BLUEFIN_0711_1235; BLUEFIN_0711_1237; BLUEFIN_0711_1238; BLUEFIN_0711_1240; BLUEFIN_0711_1273; BLUEFIN_0711_1328; BLUEFIN_0711_1330; BLUEFIN_0711_1363; BLUEFIN_0711_1408; BLUEFIN_0711_1419; BLUEFIN_0711_1421; BLUEFIN_0711_1542; BLUEFIN_0711_1543; BLUEFIN_0711_1591; BLUEFIN_0711_1592; BLUEFIN_0711_1642; BLUEFIN_0711_1643; BLUEFIN_0711_1692; BLUEFIN_0711_1693; BLUEFIN_0711_1744; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; Event label; Fluorescence, chlorophyll; Gear; LATITUDE; LONGITUDE; Odon de Buen; Pressure, water; Salinity; Station label; Temperature, water; Turbidity (Formazin Turbidity Unit); Western Basin
    Type: Dataset
    Format: text/tab-separated-values, 2400 data points
    Location Call Number Limitation Availability
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