27 results on '"Pemberton, Per"'
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2. Framtida isutbredning i svenska farvatten : Analys av isförhållandena runt år 2040 och 2070
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Pemberton, Per, Lind, Lisa, Jönsson, Anette, Arneborg, Lars, Axell, Lars, and Hieronymus, Magnus
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Oceanography, Hydrology and Water Resources ,Oceanografi, hydrologi och vattenresurser - Abstract
SMHI har analyserat hur havsisens utbredning och beskaffenhet i Bottenviken, Bottenhavet, Ålands hav och Norra Östersjön kan komma att förändras i ett perspektiv på 20 respektive 50 år, vilket motsvarar runt år 2040 och 2070. Analyserna utgår från sju indikatorer som beskriver olika aspekter av havsisens förändring. Indikatorerna är framtagna i samråd med Sjöfartsverket och valda både utifrån tillgång till data och med syfte att vara relevanta ur isbrytningsperspektiv.Som underlag för analyserna ligger historiska observationer från SMHI, det Finska Meteorologiska Institutet (FMI) och Sjöfartsverket, samt klimatscenarier framtagna i tidigare projekt.Klimatscenarier som representerar två olika utsläppsscenarier (RCP4,5 och RCP8,5) har analyserats från totalt tio olika klimatmodellsimuleringar. Klimatscenarier baserade på det lägre utsläppsscenariet (RCP2,6) saknas i underlaget eftersom befintliga klimatmodellsimuleringar för detta scenario bedömdes ha för låg kvalité. Tidsramen för denna utredning medgav inte heller framtagande av nya klimatscenarier.Resultatet av analyserna visar att framtidens isvintrar blir lindrigare med avseende på havsisens maximala utbredning jämfört med kontrollperioden (1975–2004). Issäsongens längd blir också kortare, med störst förändring i de södra delområdena. Inget scenario indikerar dock helt isfria vintrar, och åtminstone Bottenviken väntas i medel bli helt istäckt även i framtiden. I södra Bottenviken kommer is tjockare än 10 cm dock att försvinna för RCP8,5. På 20 års sikt är förändringen av den maximala isutbredningen mindre tydlig på grund av en fortsatt stor naturligt förekommande väderdriven mellanårsvariation. På 50 års sikt däremot är signalen tydligare och visar minskad isutbredning och en något mindre mellanårsvariabilitet.Istäcket förväntas bli tunnare i medel i samtliga delområden och utbredningen av tjock deformerad is förväntas minska. Modellerna saknar dock förmågan att simulera så kallade stampisvallar. Dessa vallar bildas då tunnare is pressas upp mot en landfast iskant eller land vid kraftiga vind- och vågförhållanden, och kan utgöra ett problem för sjöfarten även under lindriga isvintrar. Tunnare och glesare is kommer även att leda till ökade isdriftshastigheter i Bottenviken och Bottenhavet.Antalet dagar med utfärdade isrestriktioner till svenska hamnar förväntas minska i takt med att issäsongen blir kortare och isförhållandena lindrigare. Fördelningen av isrestriktioner förändras också, främst i Bottenviken där de högre isklasserna (1A/B) minskar till fördel för de lägre isklasserna (1C/II) som istället ökar.Förändringar i isutbredning, issäsongens längd och jämnisens medeltjocklek bedöms ha en låg osäkerhet eftersom resultatet styrks av både observationer bakåt i tiden och modellsimuleringarna som ligger förhållandevis nära observationerna. Förändringar i deformation, istjockleksfördelning och isdrift bedöms ha en hög osäkerhet eftersom det saknas eller finns väldigt få observationer som kan styrka resultatet från modellscenarierna.Utredningen begränsas delvis av att data för det lägre strålningsscenariot RCP2,6 och analys av eventuella förändringar i väder- och vindförhållanden saknas. En annan begränsande faktor som kan påverka resultatens tillförlitlighet är det låga antalet regionala klimatmodellsimuleringar med tillförlitliga isparametrar. SMHI has analysed how sea ice conditions in the Bothnian Bay, Bothnian Sea, Åland Sea and northern Baltic Proper may change in a 20 and 50 year perspective relative to 2020. The study is focused on seven indicators describing different aspects of sea ice change. The indicators were identified jointly with the Swedish Maritime Administration (SMA), and chosen based on available data and relevance to ice breaking.The study is based on historical observations from SMHI, the Finnish Meteorological Institute (FMI) and SMA, and climate scenario data from previous projects.Climate scenarios representing two different representative concentration pathways (RCP4.5 and RCP8.5) have been analysed based on a total of ten different climate model simulations. Scenarios based on the lower representative concentration pathway (RCP2.6) are absent because existing datasets for this pathway do not have sufficient quality for sea ice parameters. The time frame for this assignment did not allow for new climate scenario simulations to be produced.The results show that future winters will gradually, on average, have a smaller maximum ice extent compared to the control period (1975-2004). Ice seasons will also get shorter, with the largest differences in the southern areas. None of the scenarios yield ice free winters, and at least Bothnian Bay is expected to become fully ice covered on average, also during future winters. However, in the RCP8.5 scenario, ice with an average thickness of 10 cm or more disappears from the southern Bothnian Bay.In a 20-year perspective, changes in maximum ice extent are less distinct due to large inter-annual variations. In a 50-year perspective the change becomes more distinct and shows decreasing ice extents and smaller inter-annual variations.Level ice is expected to get thinner on average in all analysed areas, and the presence of heavily deformed ice is expected to decrease. However, models lack the ability to simulate brash ice barriers, which are formed when thin ice is pressed against a thicker ice edge or land by wind and waves. These types of barriers can be problematic for ships even in mild winters, and are expected to occur also in the future. Thinner and less dense ice fields also lead to increased ice drift in the Bothnian Bay and Bothnian Sea.The number of days with ice class based traffic restrictions for Swedish harbours are expected to decrease as sea ice thickness become thinner and ice seasons become shorter. The distribution of restrictions will also change, mainly in the Bothnian Bay where days with heavier ice classes (1A/B) decrease and days with lighter ice classes (1C/II) increase.Changes in maximum ice extent, length of ice season and average level ice thickness are judged to have a low uncertainty as the results are supported by both historical observations, and by the fact that model simulations are relatively close to the observations during the historical period. Changes in ice deformation, ice thickness distribution, and ice drift are judged to have a higher degree of uncertainty as there are no or very few observations to support model results.The study is partly limited by the lack of data for the lower RCP2.6 and by lacking analyses of possible changes in meteorological conditions. Another limiting factor is the relatively low number of regional climate model simulations with reliable ice parameters used in the study.
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- 2021
3. Disentangling the impact of nutrient load and climate changes on Baltic Sea hypoxia and eutrophication since 1850 (vol 53, pg 1145, 2019)
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Meier, Markus, Eilola, Kari, Almroth-Rosell, E., Schimanke, Semjon, Kniebusch, M., Höglund, Anders, Pemberton, Per, Liu, Ye, Väli, Germo, and Saraiva, S.
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Oceanography, Hydrology and Water Resources ,Oceanografi, hydrologi och vattenresurser - Published
- 2019
4. Arctic Ocean Freshwater Dynamics: Transient Response to Increasing River Runoff and Precipitation
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Brown, Nicola Jane, primary, Nilsson, Johan, additional, and Pemberton, Per, additional
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- 2019
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5. Nemo-Nordic 1.0 : a NEMO-based ocean model for the Baltic and North seas - research and operational applications
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Hordoir, Robinson, Axell, Lars, Höglund, Anders, Dieterich, Christian, Fransner, Filippa, Groger, Matthias, Liu, Ye, Pemberton, Per, Schimanke, Semjon, Andersson, Helén, Ljungemyr, Patrik, Nygren, Petter, Falahat, Saeed, Nord, Adam, Jönsson, Anette, Lake, Irene, Doos, Kristofer, Hieronymus, Magnus, Dietze, Heiner, Loeptien, Ulrike, Kuznetsov, Ivan, Westerlund, Antti, Tuomi, Laura, Haapala, Jari, Hordoir, Robinson, Axell, Lars, Höglund, Anders, Dieterich, Christian, Fransner, Filippa, Groger, Matthias, Liu, Ye, Pemberton, Per, Schimanke, Semjon, Andersson, Helén, Ljungemyr, Patrik, Nygren, Petter, Falahat, Saeed, Nord, Adam, Jönsson, Anette, Lake, Irene, Doos, Kristofer, Hieronymus, Magnus, Dietze, Heiner, Loeptien, Ulrike, Kuznetsov, Ivan, Westerlund, Antti, Tuomi, Laura, and Haapala, Jari
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- 2019
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6. Arctic Ocean Freshwater Dynamics : Transient Response to Increasing River Runoff and Precipitation
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Browny, Nicola Jane, Nilsson, Johan, Pemberton, Per, Browny, Nicola Jane, Nilsson, Johan, and Pemberton, Per
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- 2019
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7. Tracing the Imprint of River Runoff Variability on Arctic Water Mass Transformation
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Lambert, Erwin, Nummelin, Aleksi, Pemberton, Per, Ilicak, Mehmet, Lambert, Erwin, Nummelin, Aleksi, Pemberton, Per, and Ilicak, Mehmet
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- 2019
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8. Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications
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Hordoir, Robinson, primary, Axell, Lars, additional, Höglund, Anders, additional, Dieterich, Christian, additional, Fransner, Filippa, additional, Gröger, Matthias, additional, Liu, Ye, additional, Pemberton, Per, additional, Schimanke, Semjon, additional, Andersson, Helen, additional, Ljungemyr, Patrik, additional, Nygren, Petter, additional, Falahat, Saeed, additional, Nord, Adam, additional, Jönsson, Anette, additional, Lake, Iréne, additional, Döös, Kristofer, additional, Hieronymus, Magnus, additional, Dietze, Heiner, additional, Löptien, Ulrike, additional, Kuznetsov, Ivan, additional, Westerlund, Antti, additional, Tuomi, Laura, additional, and Haapala, Jari, additional
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- 2019
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9. Tracing the Imprint of River Runoff Variability on Arctic Water Mass Transformation
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Lambert, Erwin, primary, Nummelin, Aleksi, additional, Pemberton, Per, additional, and Ilıcak, Mehmet, additional
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- 2019
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10. Nemo-Nordic 1.0: A NEMO based ocean model for Baltic & North Seas, research and operational applications
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Hordoir, Robinson, primary, Axell, Lars, additional, Höglund, Anders, additional, Dieterich, Christian, additional, Fransner, Filippa, additional, Gröger, Matthias, additional, Liu, Ye, additional, Pemberton, Per, additional, Schimanke, Semjon, additional, Andersson, Helen, additional, Ljungemyr, Patrik, additional, Nygren, Petter, additional, Falahat, Saeed, additional, Nord, Adam, additional, Jönsson, Anette, additional, Lake, Irène, additional, Döös, Kristofer, additional, Hieronymus, Magnus, additional, Dietze, Heiner, additional, Löptien, Ulrike, additional, Kuznetsov, Ivan, additional, Westerlund, Antti, additional, Tuomi, Laura, additional, and Haapala, Jari, additional
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- 2018
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11. Sea-ice evaluation of NEMO-Nordic 1.0: a NEMO–LIM3.6-based ocean–sea-ice model setup for the North Sea and Baltic Sea
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Pemberton, Per, primary, Löptien, Ulrike, additional, Hordoir, Robinson, additional, Höglund, Anders, additional, Schimanke, Semjon, additional, Axell, Lars, additional, and Haapala, Jari, additional
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- 2017
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12. Authors final response
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Pemberton, Per, primary
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- 2017
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13. Sensitivity of the overturning circulation of the Baltic Sea to climate change, a numerical experiment
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Hordoir, Robinson, primary, Höglund, Anders, additional, Pemberton, Per, additional, and Schimanke, Semjon, additional
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- 2017
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14. Sea-ice evaluation of NEMO-Nordic 1.0 : a NEMO-LIM3.6-based ocean-sea-ice model setup for the North Sea and Baltic Sea
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Pemberton, Per, Löptien, Ulrike, Hordoir, Robinson, Höglund, Anders, Schimanke, Semjon, Axell, Lars, Haapala, Jari, Pemberton, Per, Löptien, Ulrike, Hordoir, Robinson, Höglund, Anders, Schimanke, Semjon, Axell, Lars, and Haapala, Jari
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- 2017
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15. The response of the central Arctic Ocean stratification to freshwater perturbations
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Pemberton, Per, Nilsson, Johan, Pemberton, Per, and Nilsson, Johan
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Using a state-of-the-art coupled ice-ocean-circulation model, we perform a number of sensitivity experiments to examine how the central Arctic Ocean stratification responds to changes in river runoff and precipitation. The simulations yield marked changes in the cold halocline and the Arctic Atlantic layer. Increased precipitation yields a warming of the Atlantic layer, which primarily is an advective signal, propagated through the St. Anna Trough, reflecting air-sea heat flux changes over the Barents Sea. As the freshwater supply is increased, the anticyclonic Beaufort Gyre is weakened and a greater proportion of the Arctic Ocean freshwater is exported via the Fram Strait, with nearly compensating export decreases through the Canadian Arctic Archipelago. The corresponding reorganization of the freshwater pool appears to be controlled by advective processes, rather than by the local changes in the surface freshwater flux. A simple conceptual model of the Arctic Ocean, based on a geostrophically controlled discharge of the low-salinity water, is introduced and compared with the simulations. Key predictions of the conceptual model are that the halocline depth should decrease with increasing freshwater input and that the Arctic Ocean freshwater storage should increase proportionally to the square root of the freshwater input, which are in broad qualitative agreement with the sensitivity experiments. However, the model-simulated rate of increase of the freshwater storage is weaker, indicating that effects related to wind forcing and rerouting of the freshwater-transport pathways play an important role for the dynamics of the Arctic Ocean freshwater storage.
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- 2016
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16. Impact of increasing inflow of warm Atlantic water on the sea‐air exchange of carbon dioxide and methane in the Laptev Sea
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Wåhlström, Iréne, primary, Dieterich, Christian, additional, Pemberton, Per, additional, and Meier, H. E. Markus, additional
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- 2016
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17. Freshwater processes and water mass transformation in the Arctic Ocean
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Pemberton, Per
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Oceanography, Hydrology and Water Resources ,Oceanografi, hydrologi och vattenresurser - Abstract
This thesis explores freshwater-related processes and water mass transformation in the Arctic Ocean. Knowledge of these processes is important from both a local and a global perspective. Globally, because the export of cold and low saline water and sea ice might influence the North Atlantic and global meridional overturning circulation. Locally, because freshwater processes affect the vertical stratification and permit favorable conditions for the ice cover. Models of different complexity are the main tools of the present work. A part of the material considers how these models can be used to examine the key processes governing freshwater balance. Additionally, the freshwater budgets amongst 10 different ocean general circulation models (OGCMs) are compared and robust features and weaknesses identified. A large part considers the freshwater processes governing the stratification with an emphasis on the low saline upper parts. The interactions between freshwater sources and sinks are studied in an OGCM using passive tracers. It is found that the composition, pathways and shelf-basin exchange of low saline water primarily involve processes linked to Siberian runoff, Pacific water and sea-ice melting and formation. Motivated by observed changes and paleorecords the sensitivity of the stratification is further explored in freshwater perturbation experiments with an OGCM. The response yields a deeper halocline for decreasing freshwater input, in line with a theoretical model. The final part focuses on a new framework for analyzing water mass transformations. In the framework volume, heat and salt budgets are computed in salinity-temperature space. Using different OGCMs it is shown how surface and interior processes transform inflowing waters towards colder and fresher waters and how the halocline renewal rate can be estimated. Limiting cases for the water mass transformation balance are identified by separating contributions from surface, internal and boundary fluxes. At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 3: Submitted. Paper 4: Manuscript.
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- 2014
18. Nemo-Nordic 1.0: A NEMO based ocean model for Baltic & North Seas, research and operational applications.
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Hordoir, Robinson, Axell, Lars, Höglund, Anders, Dieterich, Christian, Fransner, Filippa, Gröger, Matthias, Ye Liu, Pemberton, Per, Schimanke, Semjon, Andersson, Helen, Ljungemyr, Patrik, Nygren, Petter, Falahat, Saeed, Nord, Adam, Jönsson, Anette, Lake, Irène, Döös, Kristofer, Hieronymus, Magnus, Dietze, Heiner, and Löptien, Ulrike
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MATHEMATICAL models of oceanography ,CLIMATE change - Abstract
We present Nemo-Nordic, a Baltic & North Sea model based on the NEMO ocean engine. Surrounded by highly industrialised countries, the Baltic and North seas, and their assets associated with shipping, fishing and tourism; are vulnerable to anthropogenic pressure and climate change. Ocean models providing reliable forecasts, and enabling climatic studies, are important tools for the shipping infrastructure and to get a better understanding of effects of climate change on the marine ecosystems. Nemo-Nordic is intended to come as a tool for both short term and long term simulations, and to be used for ocean forecasting as well as process and climatic studies. Here, the scientific and technical choices within Nemo-Nordic are introduced, and the reasons behind the design of the model and its domain, and the inclusions of the two seas, are explained. The model's ability to represent barotropic and baroclinic dynamics, as well as the vertical structure of the water column, is presented. Biases are shown and discussed. The short term capabilities of the model are presented, and especially its capabilities to represent sea level on an hourly timescale with a high degree of accuracy. We also show that the model can represent longer time scale, with a focus on the Major Baltic Inflows and the variability of deep water salinity in the Baltic Sea. [ABSTRACT FROM AUTHOR]
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- 2018
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19. Arctic Ocean freshwater: How robust are model simulations?
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Jahn, A., Aksenov, Y., de Cuevas, B. A., de Steur, L., Hakkinen, S., Hansen, E., Herbaut, C., Houssais, M. -N, Karcher, M., Kauker, F., Lique, C., Nguyen, A., Pemberton, Per, Worthen, D., Zhang, J., National Center for Atmospheric Research [Boulder] (NCAR), National Oceanography Centre [Southampton] (NOC), University of Southampton, Royal Netherlands Institute for Sea Research (NIOZ), NASA Goddard Space Flight Center (GSFC), Norwegian Polar Institute, Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Alfred Wegener Institute for Polar and Marine Research (AWI), Joint Institute for the Study of the Atmosphere and Ocean (JISAO), University of Washington [Seattle], Massachusetts Institute of Technology (MIT), Department of Meteorology [Stockholm] (MISU), Stockholm University, Swedish Meteorological and Hydrological Institute (SMHI), Polar Science Center [Seattle], Applied Physics Laboratory [Seattle] (APL-UW), University of Washington [Seattle]-University of Washington [Seattle], European Project: 0804010(2008), European Project: 212643,EC:FP7:ENV,FP7-ENV-2007-1,THOR(2008), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
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Oceanography, Hydrology and Water Resources ,[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] ,[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] ,Oceanografi, hydrologi och vattenresurser - Abstract
The Arctic freshwater (FW) has been the focus of many modeling studies, due to the potential impact of Arctic FW on the deep water formation in the North Atlantic. A comparison of the hindcasts from ten ocean-sea ice models shows that the simulation of the Arctic FW budget is quite different in the investigated models. While they agree on the general sink and source terms of the Arctic FW budget, the long-term means as well as the variability of the FW export vary among models. The best model-to-model agreement is found for the interannual and seasonal variability of the solid FW export and the solid FW storage, which also agree well with observations. For the interannual and seasonal variability of the liquid FW export, the agreement among models is better for the Canadian Arctic Archipelago (CAA) than for Fram Strait. The reason for this is that models are more consistent in simulating volume flux anomalies than salinity anomalies and volume-flux anomalies dominate the liquid FW export variability in the CAA but not in Fram Strait. The seasonal cycle of the liquid FW export generally shows a better agreement among models than the interannual variability, and compared to observations the models capture the seasonality of the liquid FW export rather well. In order to improve future simulations of the Arctic FW budget, the simulation of the salinity field needs to be improved, so that model results on the variability of the liquid FW export and storage become more robust. Citation: Jahn, A., et al. (2012), Arctic Ocean freshwater: How robust are model simulations?, J. Geophys. Res., 117, C00D16, doi: 10.1029/2012JC007907. AuthorCount:15
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- 2012
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20. Arctic Ocean Water Mass Transformation in S-T Coordinates
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Pemberton, Per, Nilsson, Johan, Hieronymus, Magnus, Meier, H. E. Markus, Pemberton, Per, Nilsson, Johan, Hieronymus, Magnus, and Meier, H. E. Markus
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In this paper, watermass transformations in the Arctic Ocean are studied using a recently developed salinity-temperature (S-T) framework. The framework allows the water mass transformations to be succinctly quantified by computing the surface and internal diffusive fluxes in S-T coordinates. This study shows how the method can be applied to a specific oceanic region, in this case the Arctic Ocean, by including the advective exchange of water masses across the boundaries of the region. Based on a simulation with a global ocean circulation model, the authors examine the importance of various parameterized mixing processes and surface fluxes for the transformation of water across isohaline and isothermal surfaces in the ArcticOcean. The model-based results reveal a broadly realistic Arctic Ocean where the inflowing Atlantic and Pacific waters are primarily cooled and freshened before exiting back to the North Atlantic. In the model, the water mass transformation in the T direction is primarily accomplished by the surface heat flux. However, the surface freshwater flux plays a minor role in the transformation of water toward lower salinities, which is mainly driven by a downgradient mixing of salt in the interior ocean. Near the freezing line, the seasonal melt and growth of sea ice influences the transformation pattern., AuthorCount:4
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- 2015
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21. Arctic Ocean Water Mass Transformation in S–T Coordinates
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Pemberton, Per, primary, Nilsson, Johan, additional, Hieronymus, Magnus, additional, and Meier, H. E. Markus, additional
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- 2015
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22. Arctic Ocean freshwater composition, pathways and transformations from a passive tracer simulation
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Pemberton, Per, Nilsson, Johan, Meier, Markus, Pemberton, Per, Nilsson, Johan, and Meier, Markus
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Freshwater (FW) induced transformations in the upper Arctic Ocean were studied using a coupled regional sea ice-ocean model driven by winds and thermodynamic forcing from a reanalysis of data during the period 1948-2011, focusing on the mean state during 1968-2011. Using passive tracers to mark a number of FW sources and sinks, their mean composition, pathways and export were examined. The distribution of the simulated FW height reproduced the known features of the Arctic Ocean and volume-integrated FW content matched climatological estimates reasonably well. Input from Eurasian rivers and extraction by sea-ice formation dominate the composition of the Arctic FW content whilst Pacific water increases in importance in the Canadian Basin. Though pathways generally agreed with previous studies the locus of the Eurasian runoff shelf-basin transport centred at the Alpha-Mendeleyev ridge, shifting the Pacific-Atlantic front eastwards. A strong coupling between tracers representing Eurasian runoff and sea-ice formation showed how water modified on the shelf spreads across the Arctic and mainly exits through the Fram Strait. Transformation to salinity dependent coordinates showed how Atlantic water is modified by both low-salinity shelf and Pacific waters in an estuary-like overturning producing water masses of intermediate salinity that are exported to the Nordic Seas. A total halocline renewal rate of 1.0 Sv, including both shelf-basin exchange and cross-isohaline flux, was estimated from the transports: both components were of equal magnitude. The model's halocline shelf-basin exchange is dominated by runoff and sea-ice processes at the western shelves (the Barents and Kara seas) and Pacific water at the eastern shelves (the Laptev, East Siberian and Chukchi seas).
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- 2014
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23. Arctic Ocean freshwater composition, pathways and transformations from a passive tracer simulation
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Pemberton, Per, primary, Nilsson, Johan, additional, and Meier, H. E. Markus, additional
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- 2014
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24. Ridged sea ice characteristics in the arctic from a coupled multicategory sea ice model
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Mårtensson, Sebastian, Meier, H. E. Markus, Pemberton, Per, Haapala, J., Mårtensson, Sebastian, Meier, H. E. Markus, Pemberton, Per, and Haapala, J.
- Abstract
In this study, a multicategory sea ice model with explicit ice classes for ridged and rafted ice was used to examine the evolution of deformed ice during the period 1980-2002. The results show that (1) ridged ice comprises roughly 45-60% of Arctic sea ice volume and 25-45% of the sea ice area, (2) most of the perennial ice consists of ridged ice, and (3) ridged ice exhibits a small seasonal variability. Our results also show an increase in mean ridged ice thickness of 4-6 cm yr(-1) during the summer in an area north of the Canadian Archipelago and a corresponding decrease in the East Siberian Sea and Nansen Basin. At the same time, Arctic sea ice age has been observed to decline and ice drift speed to increase during the simulation period. We connect these findings with a modeled regional increase in the production rate of ridged ice. Comparison of the multicategory model and a two category reference model shows a substantially increased ice production rate due to a more frequent occurrence of leads, resulting in an ice thickness increase of up to 0.8 m. Differences in ice physics between the multicategory and reference models also affect the freshwater content. The sum of liquid and solid freshwater content in the entire Arctic Ocean is about 10% lower and net precipitation (P-E) is about 7% lower as compared to the reference model., AuthorCount:4
- Published
- 2012
- Full Text
- View/download PDF
25. Evaluation of new spaceborne SAR sensors for sea-ice monitoring in the Baltic Sea
- Author
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Eriksson, Leif E. B., Borenas, Karin, Dierking, Wolfgang, Berg, Anders, Santoro, Maurizio, Pemberton, Per, Lindh, Henrik, Karlson, Bengt, Eriksson, Leif E. B., Borenas, Karin, Dierking, Wolfgang, Berg, Anders, Santoro, Maurizio, Pemberton, Per, Lindh, Henrik, and Karlson, Bengt
- Abstract
In this study, synthetic aperture radar (SAR) data from the Advanced Land Observing Satellite (ALOS) and the Envisat, RADARSAT-2, and TerraSAR-X satellites were compared to evaluate their usefulness for sea-ice monitoring in the Baltic Sea. Radar signature characteristics at different frequencies, polarizations, and spatial resolutions are presented for three examples from 2009. C-band like-polarization data, which have been used for operational sea-ice mapping since the early 1990s, serve as a reference. Advantages and disadvantages were identified for the different SAR systems and imaging modes. One conclusion is that cross-polarized data improve the discrimination between sea ice and open water. Another observation is that it is easier to identify ice ridges in L-band data than in images from shorter wavelengths. The information content of X-and C-band images is largely equivalent, whereas L-band data provide complementary information. L-band SAR also seems to be less sensitive to wet snow cover on the ice.
- Published
- 2010
26. Evaluation of new spaceborne SAR sensors for sea-ice monitoring in the Baltic Sea
- Author
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Eriksson, Leif E.B., primary, Borenäs, Karin, additional, Dierking, Wolfgang, additional, Berg, Anders, additional, Santoro, Maurizio, additional, Pemberton, Per, additional, Lindh, Henrik, additional, and Karlson, Bengt, additional
- Published
- 2010
- Full Text
- View/download PDF
27. Nemo-Nordic: A NEMO based ocean model for Baltic & North Seas, research and operational applications
- Author
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Hordoir, Robinson, Axell, Lars, Höglund, Anders, Dieterich, Christian, Fransner, Filippa, Gröger, Matthias, Liu, Ye, Pemberton, Per, Schimanke, Semjon, Andersson, Helen, Ljungemyr, Patrik, Nygren, Petter, Falahat, Saeed, Nord, Adam, Jönsson, Anette, Lake, Iréne, Döös, Kristofer, Hieronymus, Magnus, Dietze, Heiner, Löptien, Ulrike, Kuznetsov, Ivan, Westerlund, Antti, Tuomi, Laura, Haapala, Jari, Hordoir, Robinson, Axell, Lars, Höglund, Anders, Dieterich, Christian, Fransner, Filippa, Gröger, Matthias, Liu, Ye, Pemberton, Per, Schimanke, Semjon, Andersson, Helen, Ljungemyr, Patrik, Nygren, Petter, Falahat, Saeed, Nord, Adam, Jönsson, Anette, Lake, Iréne, Döös, Kristofer, Hieronymus, Magnus, Dietze, Heiner, Löptien, Ulrike, Kuznetsov, Ivan, Westerlund, Antti, Tuomi, Laura, and Haapala, Jari
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