Abstract:Results from the first simulations with the Rossby Centre regional climate atmosphere (RCA) model were used to force 2 versions of process-oriented models of the Baltic Sea -one timedependent, the other considering the mean state. The purpose was primarily to obtain a first scenario of the future state of the Baltic Sea. In addition, we looked at this exercise as a method to evaluate the consistency of the water cycle and the heat balance produced by atmospheric climate models. The RCA model is a high-resoluti… Show more
“…Despite these drastic reductions, no totally ice-free winters were simulated to occur during 2071Á2100. In contrast, in a model experiment conducted by Omstedt et al (2000), there was almost no ice in 3 out of 10 winters.…”
Section: Introductionmentioning
confidence: 85%
“…Previous estimates of the sensitivity of the Baltic Sea ice cover to climatic changes have been based on numerical modelling (Omstedt and Nyberg, 1996;Haapala and Leppa¨ranta, 1997;Omstedt et al, 2000;Haapala et al, 2001;Meier et al, 2004;Meier, 2006) or on using statistical methods to correlate sea ice variability to atmospheric conditions (Tinz, 1996;Omstedt and Chen, 2001;Jylhaë t al., 2008;Luomaranta et al, 2010). In conjunction with projections of future warming, considerable thinning of the ice and shrinking of the ice cover, as well as a shortening of Decade 1 9 0 1 -1 9 1 0 1 9 1 1 -1 9 2 0 1 9 2 1 -1 9 3 0 1 9 3 1 -1 9 4 0 1 9 4 1 -1 9 5 0 1 9 5 1 -1 9 6 0 1 9 6 1 -1 9 7 0 1 9 7 1 -1 9 8 0 1 9 8 1 -1 9 9 0 1 9 9 1 -2 0 0 0 2 0 0 1 -2 0 1 0 the ice season in the Baltic Sea, are foreseen in these studies, but there are differences in the strength of the responses.…”
A B S T R A C TWe project changes in the annual maximum ice extent and the maximum coastal fast ice thickness in the Baltic Sea during the ongoing century. The influence of future warming on the ice conditions was assessed using the NovemberÁMarch Baltic coastal mean temperature as a predictor for the annual maximum ice extent (MIB), and the local freezing degree-day sum as a predictor for the fast ice thickness. Future winter temperatures were derived by adjusting observational baseline-period temperatures in accordance with temperature projections based on 28 global climate models (GCMs) participating in the Coupled Model Intercomparison Project Phase 5. Under the Representative Concentration Pathway (RCP) 4.5 scenario, the ensemble-mean trend of MIB is (6400 km 2 /10 yr, and from the 2060s onwards in a typical winter MIB remains below 80 )10 3 km 2 . If the RCP8.5 scenario is realised, the corresponding estimates are (10 900 km 2 /10 yr for the trend and 60)10 3 km 2 for a typical MIB. For cold rather than typical winters, the projected rate of decrease in MIB is even faster. During the late century under RCP8.5, in 9 out of 10 yr the ice would only cover 5Á20% of the total sea area. The projected trends in the mean annual maximum ice thickness are (7.6 . . . (3.3 cm/10 yr, depending on location and applied scenario. In the 2040s under both scenarios, and in the 2080s under RCP4.5, the ice thickness may still exceed 60 cm in the northernmost Bay of Bothnia, while elsewhere in the Gulf of Bothnia and in the Gulf of Finland, it will vary between about 10 and 40 cm. In the 2080s under RCP8.5, virtually no ice occurs outside the Bay of Bothnia. For both the ice extent and thickness, the spread among the responses based on the temperature projections of individual GCMs is considerable. Nonetheless, a robust finding is that the Baltic Sea is unlikely to become totally ice-free during this century.
“…Despite these drastic reductions, no totally ice-free winters were simulated to occur during 2071Á2100. In contrast, in a model experiment conducted by Omstedt et al (2000), there was almost no ice in 3 out of 10 winters.…”
Section: Introductionmentioning
confidence: 85%
“…Previous estimates of the sensitivity of the Baltic Sea ice cover to climatic changes have been based on numerical modelling (Omstedt and Nyberg, 1996;Haapala and Leppa¨ranta, 1997;Omstedt et al, 2000;Haapala et al, 2001;Meier et al, 2004;Meier, 2006) or on using statistical methods to correlate sea ice variability to atmospheric conditions (Tinz, 1996;Omstedt and Chen, 2001;Jylhaë t al., 2008;Luomaranta et al, 2010). In conjunction with projections of future warming, considerable thinning of the ice and shrinking of the ice cover, as well as a shortening of Decade 1 9 0 1 -1 9 1 0 1 9 1 1 -1 9 2 0 1 9 2 1 -1 9 3 0 1 9 3 1 -1 9 4 0 1 9 4 1 -1 9 5 0 1 9 5 1 -1 9 6 0 1 9 6 1 -1 9 7 0 1 9 7 1 -1 9 8 0 1 9 8 1 -1 9 9 0 1 9 9 1 -2 0 0 0 2 0 0 1 -2 0 1 0 the ice season in the Baltic Sea, are foreseen in these studies, but there are differences in the strength of the responses.…”
A B S T R A C TWe project changes in the annual maximum ice extent and the maximum coastal fast ice thickness in the Baltic Sea during the ongoing century. The influence of future warming on the ice conditions was assessed using the NovemberÁMarch Baltic coastal mean temperature as a predictor for the annual maximum ice extent (MIB), and the local freezing degree-day sum as a predictor for the fast ice thickness. Future winter temperatures were derived by adjusting observational baseline-period temperatures in accordance with temperature projections based on 28 global climate models (GCMs) participating in the Coupled Model Intercomparison Project Phase 5. Under the Representative Concentration Pathway (RCP) 4.5 scenario, the ensemble-mean trend of MIB is (6400 km 2 /10 yr, and from the 2060s onwards in a typical winter MIB remains below 80 )10 3 km 2 . If the RCP8.5 scenario is realised, the corresponding estimates are (10 900 km 2 /10 yr for the trend and 60)10 3 km 2 for a typical MIB. For cold rather than typical winters, the projected rate of decrease in MIB is even faster. During the late century under RCP8.5, in 9 out of 10 yr the ice would only cover 5Á20% of the total sea area. The projected trends in the mean annual maximum ice thickness are (7.6 . . . (3.3 cm/10 yr, depending on location and applied scenario. In the 2040s under both scenarios, and in the 2080s under RCP4.5, the ice thickness may still exceed 60 cm in the northernmost Bay of Bothnia, while elsewhere in the Gulf of Bothnia and in the Gulf of Finland, it will vary between about 10 and 40 cm. In the 2080s under RCP8.5, virtually no ice occurs outside the Bay of Bothnia. For both the ice extent and thickness, the spread among the responses based on the temperature projections of individual GCMs is considerable. Nonetheless, a robust finding is that the Baltic Sea is unlikely to become totally ice-free during this century.
“…Combined with high TN input from land, these temperature changes could be crucial to the benthic fauna. Given that river runoff and temperature are projected to increase drastically over this century due to global warming (Omstedt et al 2000), hypoxia will probably become more severe in the future, with increases in nutrient input and stratification. The 18C increase in temperature observed in the Skagerrak (Fig.…”
Abstract. A 38-year record of bottom-water dissolved oxygen concentrations in coastal marine ecosystems around Denmark (1965Denmark ( -2003 and a longer, partially reconstructed record of total nitrogen (TN) inputs were assembled with the purpose of describing longterm patterns in hypoxia and anoxia. In addition, interannual variations in bottom-water oxygen concentrations were analyzed in relation to various explanatory variables (bottom temperature, wind speed, advective transport, TN loading). Reconstructed TN loads peaked in the 1980s, with a gradual decline to the present, commensurate with a legislated nutrient reduction strategy. Mean bottom-water oxygen concentrations during summer have significantly declined in coastal marine ecosystems, decreasing substantially during the 1980s and were extremely variable thereafter. Despite decreasing TN loads, the worst hypoxic event ever recorded in open waters occurred in 2002. For estuaries and coastal areas, bottomwater oxygen concentrations were best described by TN input from land and wind speed in July-September, explaining 52% of the interannual variation in concentrations. For open sea areas, bottom-water oxygen concentrations were also modulated by TN input from land; however, additional significant variables included advective transport of water and Skagerrak surface-water temperature and explained 49% of interannual variations in concentrations. Reductions in the number of benthic species and alpha diversity were significantly related to the duration of the 2002 hypoxic event. Gradual decreases in diversity measures (number of species and alpha diversity) over the first 2-4 weeks show that the benthic community undergoes significant changes before the duration of hypoxia is severe enough to cause the community to collapse. Enhanced sediment-water fluxes of NH 4 þ and PO 4 3À occur with hypoxia, increasing nutrient concentrations in the water column and stimulating additional phytoplankton production. Repeated hypoxic events have changed the character of benthic communities and how organic matter is processed in sediments. Our data suggest that repeated hypoxic events lead to an increase in susceptibility of Danish waters to eutrophication and further hypoxia.
“…As climate models applied on a regional scale have deficits in both their water and heat balances (e.g. Omstedt et al, 2000;BACC Author Team, 2008;Meier et al, 2011), we apply the so-called delta-change bias correction. Correction factors (anomalies) were determined based on the difference between the climate model control simulation and observations, averaged over the 1961Á1990 control period.…”
A B S T R A C T Possible future changes in Baltic Sea acidÁbase (pH) and oxygen balances were studied using a catchmentÁsea coupled model system and numerical experiments based on meteorological and hydrological forcing datasets and scenarios. By using objective statistical methods, climate runs for present climate conditions were examined and evaluated using Baltic Sea modelling. The results indicate that increased nutrient loads will not inhibit future Baltic Sea acidification; instead, the seasonal pH cycle will be amplified by increased biological production and mineralization. All examined scenarios indicate future acidification of the whole Baltic Sea that is insensitive to the chosen global climate model. The main factor controlling the direction and magnitude of future pH changes is atmospheric CO 2 concentration (i.e. emissions). Climate change and land-derived changes (e.g. nutrient loads) affect acidification mainly by altering the seasonal cycle and deep-water conditions. Apart from decreasing pH, we also project a decreased saturation state of calcium carbonate, decreased respiration index and increasing hypoxic area Á all factors that will threaten the marine ecosystem. We demonstrate that substantial reductions in fossil-fuel burning are needed to minimise the coming pH decrease and that substantial reductions in nutrient loads are needed to reduce the coming increase in hypoxic and anoxic waters.
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