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Wyszukujesz frazę "ecosystem model" wg kryterium: Temat

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    Wyświetlanie 1-5 z 5
    Tytuł:
    Variability in the distribution of phytoplankton as affected by changes to the main physical parameters in the Baltic Sea
    Autorzy:
    Dzierzbicka-Glowacka, L.
    Jakacki, J.
    Janecki, M.
    Nowicki, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/49183.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    3D ecosystem model
    Baltic Sea
    distribution
    ecological system
    ecosystem
    long-term variability
    marine ecosystem
    nutrient
    organic matter
    physical parameter
    phytoplankton
    solar radiation
    temperature
    thermal radiation
    variability
    wind speed
    Opis:
    An integrated ecological system model was used to determine the influence on Baltic phytoplankton of the long-term variability in the sea’s main physical parameters. A three-dimensional coupled sea-ice model was developed. A simple ecosystem was added to the sea-ice model and used to estimate phytoplankton variability during long-term changes in the main atmospheric forces. Scenarios similar to those of climate were performed by altering the main physical parameters such as temperature, wind speed, solar and thermal radiation (in different configurations). The influence of the variability in these parameters on phytoplankton is discussed.
    Źródło:
    Oceanologia; 2011, 53, (1-TI)
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The use of satellite data in the operational 3D coupled ecosystem model of the Baltic Sea (3D CEMBS)
    Autorzy:
    Nowicki, A.
    Janecki, M.
    Darecki, M.
    Piotrowski, P.
    Dzierzbicka-Głowacka, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/260554.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    Baltic
    ecosystem
    model
    satellite
    assimilation
    Opis:
    The objective of this paper is to present an automatic monitoring system for the 3D CEMBS model in the operational version. This predictive, eco hydrodynamic model is used as a tool to control the conditions and bio productivity of the Baltic sea environment and to forecast physical and ecological changes in the studied basin. Satellite-measured data assimilation is used to constrain the model and achieve higher accuracy of its results. 3D CEMBS is a version of the Community Earth System Model, adapted for the Baltic Sea. It consists of coupled ocean and ice models, working in active mode together with the ecosystem module. Atmospheric forecast from the UM model (Interdisciplinary Centre for Mathematical and Computational Modelling of the Warsaw University) are used as a forcing fields feed through atmospheric data model. In addition, river inflow of freshwater and nutrient deposition from 71 main rivers is processed by land model. At present, satellite data from AQUA MODIS, processed by the SatBałtyk project Operational System are used for the assimilation of sea surface temperature and chlorophyll a concentration. In the operational mode, 48-hour forecasts are produced at six-hour intervals, providing a wide range of hydrodynamic and biochemical parameters.
    Źródło:
    Polish Maritime Research; 2016, 1; 20-24
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Ekologiczne zdrowie publiczne – model na miarę XXI wieku
    Ecological Public Health
    Autorzy:
    Badora, Katarzyna
    Powiązania:
    https://bibliotekanauki.pl/articles/635103.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
    Tematy:
    ekologiczne zdrowie publiczne
    ekosystem
    model zdrowia publicznego
    transformacje
    ecological public health
    ecosystem
    model of public health
    transitions
    Opis:
    Public health thinking requires an overhaul, a return to and modernization around ecological principles. Ecological Public Health thinking, outlined by Tim Lang and Geof Rayner, fits the twenty-first century’s challenges. It integrates what the authors call the four dimensions of existence: the material, biological, social and cultural aspects of life. Public health becomes the task of transforming the relationship between people, their circumstances and the biological world of nature and bodies. These transitions are Demographic, Epidemiological, Urban, Energy, Economic, Nutrition, Biological, Cultural and Democracy itself. By analyzing the theory and practice of public health last two or three centuries, the authors showed an evolution in thinking about public health. The term ‘ecological public health’ characterizes times in which everything is important, when it comes to health and well-being. The challenge for policy makers is one of navigating this complexity to deliver better health and greater equality in health.
    Źródło:
    Zdrowie Publiczne i Zarządzanie; 2012, 10, 1
    2084-2627
    Pojawia się w:
    Zdrowie Publiczne i Zarządzanie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Processes regulating pCO2 in the surface waters of the Central Eastern Gotland Sea: a model study
    Autorzy:
    Kuznetsov, I.
    Neumann, T.
    Schneider, B.
    Yakushev, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/48971.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    Baltic Sea
    biogeochemical modelling
    brackish water
    carbon dioxide
    Cyanoprokaryota
    detritus
    ecological status
    ecosystem
    ERGOM model
    nitrogen fixation
    seasonal change
    surface water
    water exchange
    Opis:
    This work presents a one-dimensional simulation of the seasonal changes in CO2 partial pressure (pCO2). The results of the model were constrained using data from observations, which improved the model’s ability to estimate nitrogen fixation in the central Baltic Sea and allowed the impact of nitrogen fixation on the ecological state of the Baltic Sea to be studied. The model used here is the public domain water-column model GOTM (General Ocean Turbulence Model), which in this study was coupled with a modifed Baltic Sea ecosystem model, ERGOM (The Baltic Sea Research Institute’s ecosystem model). To estimate nitrogen fixation rates in the Gotland Sea, the ERGOM model was modified by including an additional cyanobacteria group able to fix nitrogen from March to June. Furthermore, the model was extended by a simple CO2 cycle. Variable C:P and N:P ratios, controlled by phosphate concentrations in ambient water, were used to represent cyanobacteria, detritus and sediment detritus. This approach improved the model’s ability to reproduce sea-surface phosphate and pCO2 dynamics. The resulting nitrogen fixation rates in 2005 for the two simulations, with and without the additional cyanobacteria group, were 259 and 278 mmol N m−2 year−1 respectively.
    Źródło:
    Oceanologia; 2011, 53, 3
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Quality assessment of atmospheric surface fields over the Baltic Sea from an ensemble of regional climate model simulations with respect to ocean dynamics
    Autorzy:
    Meier, H.E.M.
    Hoglund, A.
    Doscher, R.
    Andersson, H.
    Loptien, U.
    Kjellstrom, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/48250.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    atmosphere-ocean coupling
    Baltic region
    climate change
    climate model
    ecosystem
    global warming
    hydrographic change
    regional climate
    regional climate modelling
    sea ice
    temperature
    water temperature
    Opis:
    Climate model results for the Baltic Sea region from an ensemble of eight simulations using the Rossby Centre Atmosphere model version 3 (RCA3) driven with lateral boundary data from global climate models (GCMs) are compared with results from a downscaled ERA40 simulation and gridded observations from 1980 –2006. The results showed that data from RCA3 scenario simulations should not be used as forcing for Baltic Sea models in climate change impact studies because biases of the control climate significantly affect the simulated changes of future projections. For instance, biases of the sea ice cover in RCA3 in the present climate affect the sensitivity of the model’s response to changing climate due to the ice-albedo feedback. From the large ensemble of available RCA3 scenario simulations two GCMs with good performance in downscaling experiments during the control period 1980–2006 were selected. In this study, only the quality of atmospheric surface fields over the Baltic Sea was chosen as a selection criterion. For the greenhouse gas emission scenario A1B two transient simulations for 1961 –2100 driven by these two GCMs were performed using the regional, fully coupled atmosphere-ice-ocean model RCAO. It was shown that RCAO has the potential to improve the results in downscaling experiments driven by GCMs considerably, because sea surface temperatures and sea ice concentrations are calculated more realistically with RCAO than when RCA3 has been forced with surface boundary data from GCMs. For instance, the seasonal 2 m air temperature cycle is closer to observations in RCAO than in RCA3 downscaling simulations. However, the parameterizations of air-sea fluxes in RCAO need to be improved.
    Źródło:
    Oceanologia; 2011, 53, (1-TI)
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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