Uncertainties in Projections of the Baltic Sea Ecosystem Driven by an Ensemble of Global Climate Models

被引:58
|
作者
Saraiva, Sofia [1 ,2 ]
Meier, H. E. Markus [1 ,3 ]
Andersson, Helen [1 ]
Hoglund, Anders [1 ]
Dieterich, Christian [1 ]
Groger, Matthias [1 ]
Hordoir, Robinson [1 ,4 ,5 ]
Eilola, Kari [1 ]
机构
[1] Swedish Meteorol & Hydrol Inst, Norrkoping, Sweden
[2] Univ Lisbon, MARETEC, Inst Super Tecn, Lisbon, Portugal
[3] Leibniz Inst Balt Sea Res Warnemunde, Dept Phys Oceanog & Instrumentat, Rostock, Germany
[4] Inst Marine Res, Bergen, Norway
[5] Bjerknes Ctr Climate Res, Bergen, Norway
基金
欧盟地平线“2020”; 瑞典研究理事会;
关键词
Baltic Sea; nutrients; eutrophication; climate change; future projections; uncertainties; ensemble simulations; ICE-OCEAN MODEL; BIOGEOCHEMICAL CYCLES; LATE; 21ST-CENTURY; EUROPEAN CLIMATE; FRESH-WATER; PART; SIMULATIONS; IMPACT; FUTURE; TEMPERATURE;
D O I
10.3389/feart.2018.00244
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Many coastal seas worldwide are affected by human impacts such as eutrophication causing, inter alia, oxygen depletion, and extensive areas of hypoxia. Depending on the region, global warming may reinforce these environmental changes by reducing air-sea oxygen fluxes, intensifying internal nutrient cycling, and increasing river-borne nutrient loads. The development of appropriate management plans to effectively protect the marine environment requires projections of future marine ecosystem states. However, projections with regional climate models commonly suffer from shortcomings in the driving global General Circulation Models (GCMs). The differing sensitivities of GCMs to increased greenhouse gas concentrations affect regional projections considerably. In this study, we focused on one of the most threatened coastal seas, the Baltic Sea, and estimated uncertainties in projections due to climate model deficiencies and due to unknown future greenhouse gas concentration, nutrient load and sea level rise scenarios. To address the latter, simulations of the period 1975-2098 were performed using the initial conditions from an earlier reconstruction with the same Baltic Sea model (starting in 1850). To estimate the impacts of climate model uncertainties, dynamical downscaling experiments with four driving global models were carried out for two greenhouse gas concentration scenarios and for three nutrient load scenarios, covering the plausible range between low and high loads. The results suggest that changes in nutrient supply, in particular phosphorus, control the long-term (centennial) response of eutrophication, biogeochemical fluxes and oxygen conditions in the deep water. The analysis of simulated primary production, nitrogen fixation, and hypoxic areas shows that uncertainties caused by the various nutrient load scenarios are greater than the uncertainties due to climate model uncertainties and future greenhouse gas concentrations. In all scenario simulations, a proposed nutrient load abatement strategy, i.e., the Baltic Sea Action Plan, will lead to a significant improvement in the overall environmental state. However, the projections cannot provide detailed information on the timing and the reductions of future hypoxic areas, due to uncertainties in salinity projections caused by uncertainties in projections of the regional water cycle and of the mean sea level outside the model domain.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Projections of Global Drought and Their Climate Drivers Using CMIP6 Global Climate Models
    Xu, Feng
    Bento, Virgilio A.
    Qu, Yanping
    Wang, Qianfeng
    WATER, 2023, 15 (12)
  • [32] Enhancing reliability in climate projections: A novel approach for selecting global climate models
    Tanimu, Bashir
    Bello, Al-Amin Danladi
    Abdullahi, Sule Argungu
    Ajibike, Morufu A.
    bin Muhammad, Mohd Khairul Idlan
    Shahid, Shamsuddin
    PHYSICS AND CHEMISTRY OF THE EARTH, 2024, 134
  • [33] Assessment of Future Climate Change Projections Using Multiple Global Climate Models
    Oo, Han Thi
    Zin, Win Win
    Kyi, Cho Cho Thin
    CIVIL ENGINEERING JOURNAL-TEHRAN, 2019, 5 (10): : 2152 - 2166
  • [34] Climate change projections of medicanes with a large multi-model ensemble of regional climate models
    Romera, Raquel
    Angel Gaertner, Miguel
    Sanchez, Enrique
    Dominguez, Marta
    Jesus Gonzalez-Aleman, Juan
    Miglietta, Mario Marcello
    GLOBAL AND PLANETARY CHANGE, 2017, 151 : 134 - 143
  • [35] New directions - Uncertainties of aerosol effects in global climate models
    Gaffney, JS
    Marley, NA
    ATMOSPHERIC ENVIRONMENT, 1998, 32 (16) : 2873 - 2874
  • [36] Ecosystem responses in the southern Caribbean Sea to global climate change
    Taylor, Gordon T.
    Muller-Karger, Frank E.
    Thunell, Robert C.
    Scranton, Mary I.
    Astor, Yrene
    Varela, Ramon
    Troccoli Ghinaglia, Luis
    Lorenzoni, Laura
    Fanning, Kent A.
    Hameed, Sultan
    Doherty, Owen
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2012, 109 (47) : 19315 - 19320
  • [37] Global sensitivity analysis and uncertainties in SEA models of vibroacoustic systems
    Christen, Jean-Loup
    Ichchou, Mohamed
    Troclet, Bernard
    Bareille, Olivier
    Ouisse, Morvan
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 90 : 365 - 377
  • [38] Reducing uncertainties in climate models Implementing accurate calculations of radiative forcing can improve climate projections
    Soden, Brian J.
    Collins, William D.
    Feldman, Daniel R.
    SCIENCE, 2018, 361 (6400) : 326 - 327
  • [39] Quantifying uncertainty in future sea level projections downscaled from CMIP5 global climate models
    Sithara, S.
    Pramada, S. K.
    Thampi, Santosh G.
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2024, 38 (05) : 2065 - 2079
  • [40] Quantifying uncertainty in future sea level projections downscaled from CMIP5 global climate models
    S. Sithara
    S. K. Pramada
    Santosh G. Thampi
    Stochastic Environmental Research and Risk Assessment, 2024, 38 : 2065 - 2079