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  • Englisch  (3)
  • 1
    Publikationsdatum: 2024-01-30
    Beschreibung: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Marine heatwaves are known to have a detrimental impact on marine ecosystems, yet predicting when and where they will occur remains a challenge. Here, using a large ensemble of initialized predictions from an Earth System Model, we demonstrate skill in predictions of summer marine heatwaves over large marine ecosystems in the Arabian Sea seven months ahead. Retrospective forecasts of summer (June to August) marine heatwaves initialized in the preceding winter (November) outperform predictions based on observed frequencies. These predictions benefit from initialization during winters of medium to strong El Niño conditions, which have an impact on marine heatwave characteristics in the Arabian Sea. Our probabilistic predictions target spatial characteristics of marine heatwaves that are specifically useful for fisheries management, as we demonstrate using an example of Indian oil sardine (〈italic〉Sardinella longiceps〈/italic〉).〈/p〉
    Beschreibung: Plain Language Summary: Marine heatwaves (MHWs) are prolonged extreme events associated with exceptionally high ocean water temperatures. Such events impose heat stress on marine life, and thus predicting such events is beneficial for management applications. In this work we show that the occurrence of MHWs in summer in the Arabian Sea can be skilfully predicted seven month in advance. Our prediction system benefits from the information of sea surface temperature anomalies in the eastern Pacific Ocean in the preceding winter, among other aspects. Our predictions suggest potential for using climate information in fisheries management in this region.〈/p〉
    Beschreibung: Key Points: 〈list list-type="bullet"〉 〈list-item〉 〈p xml:lang="en"〉Summer marine heatwaves in the Arabian Sea are predictable seven months in advance〈/p〉〈/list-item〉 〈list-item〉 〈p xml:lang="en"〉The prediction skill in summer is mainly associated with a preceding El Niño event in winter〈/p〉〈/list-item〉 〈list-item〉 〈p xml:lang="en"〉Probabilistic predictions of Arabian Sea area under heatwave can be tailored to benefit fisheries〈/p〉〈/list-item〉 〈/list〉 〈/p〉
    Beschreibung: DFG
    Beschreibung: Universität Hamburg http://dx.doi.org/10.13039/501100005711
    Beschreibung: Cedars‐Sinai Medical Center http://dx.doi.org/10.13039/100013015
    Beschreibung: Marine Institute http://dx.doi.org/10.13039/501100001627
    Beschreibung: Copernicus Climate Change Service
    Beschreibung: Aigéin, Aeráid, agus athrú Atlantaigh
    Beschreibung: EU
    Beschreibung: http://dx.doi.org/10.7289/V5SQ8XB5
    Beschreibung: http://hdl.handle.net/hdl:21.14106/f2fdc61b13828ed5284f4e4ab41e63f8a84c6e52
    Beschreibung: http://hdl.handle.net/hdl:21.14106/27e73ed39cd59d2033e018a494e342383db53a0b
    Schlagwort(e): ddc:551.46 ; Arabian Sea ; marine heatwaves
    Sprache: Englisch
    Materialart: doc-type:article
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Publikationsdatum: 2024-02-05
    Beschreibung: Reliable information about the future state of the ocean and fish stocks is necessary for informed decision-making by fisheries scientists, managers and the industry. However, decadal regional ocean climate and fish stock predictions have until now had low forecast skill. Here, we provide skilful forecasts of the biomass of cod stocks in the North and Barents Seas a decade in advance. We develop a unified dynamical-statistical prediction system wherein statistical models link future stock biomass to dynamical predictions of sea surface temperature, while also considering different fishing mortalities. Our retrospective forecasts provide estimates of past performance of our models and they suggest differences in the source of prediction skill between the two cod stocks. We forecast the continuation of unfavorable oceanic conditions for the North Sea cod in the coming decade, which would inhibit its recovery at present fishing levels, and a decrease in Northeast Arctic cod stock compared to the recent high levels.
    Beschreibung: North Sea cod stock may not recover in the decade 2020-2030 while Northeast Arctic cod biomass is also predicted to decline but will be better able to recover, according to an integration of statistical fisheries models and climate predictions
    Beschreibung: https://www.thuenen.de/en/sf/projects/a-physical-statistical-model-of-hydrography-for-fishery-and-ecology-studies-ahoi/
    Beschreibung: https://www.metoffice.gov.uk/hadobs/hadisst/index.html
    Beschreibung: http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=DKRZ_LTA_1075_ds00004
    Schlagwort(e): ddc:577.7 ; Marine biology ; Ocean sciences ; Physical oceanography ; Projection and prediction ; North Sea ; Barents Sea ; cod stocks
    Sprache: Englisch
    Materialart: doc-type:article
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    Publikationsdatum: 2021-09-24
    Beschreibung: The influence of large-scale oceanic circulation on salinity in the northern North Sea has lead to the hypothesis that nutrient concentrations in this region are also driven by remote oceanic anomalies. Here, using a newly established biogeochemical data set of the North Sea, we show that interannual to decadal variability in winter nutrient concentrations exhibits distinct phase deviations from salinity. The variability in salinity is explained by zonal shifts in the position of the subpolar front (SPF) in the eastern North Atlantic and the associated advective delay. However, the high correlation and absence of advective delay between the position of the SPF and winter nutrient concentrations in the Shetland region (59–61°N, 1°W to 3°E) point to the role of atmospheric variability in driving concurrent changes in winter nutrient concentrations and the SPF position. Our analysis suggests that the prevailing wind direction and local distribution of winter nutrient concentrations together determine the interannual to decadal variability in winter nutrient concentrations in this region. In the analyzed observations, we find a strong spatial gradient in mean winter nutrient concentrations northwest of the Shetland region, which is absent in salinity. The horizontal shift of this spatial gradient, forced by changes in wind direction, has a larger influence on winter nutrient concentration in the Shetland region than the nutrient signal in oceanic anomalies originating from the eastern subpolar North Atlantic. Overall, we conclude that interannual to decadal variability in the observed nutrient concentrations is mainly driven by atmospheric variability here expressed as wind direction.
    Schlagwort(e): 551.46 ; North Sea ; Subpolar Front Position ; Nutrients ; Salinity
    Sprache: Englisch
    Materialart: map
    Standort Signatur Einschränkungen Verfügbarkeit
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