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  • 551,9  (1)
  • Arctic; CMST; File content; File format; File name; File size; Fram Strait; sea ice drift; Uniform resource locator/link to file  (1)
  • Center for Marine Environmental Sciences; File format; File name; File size; MARUM; Uniform resource locator/link to file  (1)
  • 1
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    PANGAEA
    In:  Supplement to: Breitkreuz, Charlotte; Paul, André; Kurahashi-Nakamura, Takasumi; Losch, Martin; Schulz, Michael (2018): A dynamical reconstruction of the global monthly-mean oxygen isotopic composition of seawater. Journal of Geophysical Research: Oceans, 123(10), 7206-7219, https://doi.org/10.1029/2018JC014300
    Publication Date: 2023-03-03
    Description: We present a dynamically consistent gridded data set of the global, monthly-mean oxygen isotope ratio of seawater (δ¹⁸Osw). The data set is created from an optimized simulation of an ocean general circulation model constrained by global monthly δ¹⁸Osw data collected from 1950 until 2011 and climatological salinity and temperature data collected from 1951 to 1980. The optimization was obtained using the adjoint method for variational data assimilation, which yields a simulation that is consistent with the observational data and the physical laws incorporated in the model. Our data set performs equally well as a previous data set in terms of model-data misfit and brings an improvement in terms of physical consistency and a seasonal cycle. The data assimilation method shows high potential for interpolating sparse data sets in a physical meaningful way. Comparatively big errors, however, are found in our data set in the surface levels in the Arctic Ocean mainly because there is no influence of isotopically highly depleted precipitation on the ocean in areas with sea-ice, and because of the low model resolution. The data set is the 100-year monthly-mean of the optimized 400-year equilibrium model simulation. It includes simulated δ¹⁸Osw, potential temperature, and salinity on the model grid. The model uses a cubed-sphere grid with a horizontal resolution of 2.8° and 15 vertical levels. We additionally provide the data interpolated onto a 1° lat-lon grid. Values at the edge of the ocean, which could not be interpolated, are set to the respective values in the raw data set on the model grid.
    Keywords: Center for Marine Environmental Sciences; File format; File name; File size; MARUM; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 2
    Publication Date: 2023-01-30
    Description: The simulated sea ice drift data is a by-product from a sea ice thickness assimilation system that generates the Arctic 'Combined Model and Satellite sea ice Thickness (CMST; doi:10.1594/PANGAEA.891475) ' dataset. The data also provide the ocean current velocity where ice free. To obtain the sea ice drift on the geographic coordinate, a transformation must be done as following: uE = AngleCS * SIuice - AngleSN * SIvice; vN = AngleSN * SIuice + AngleCS * SIvice; where uE and vN are two velocity components on the geographic coordinate; AngleCS and AngleSN can be found in 'grid.cdf'; SIuice and SIvice are sea ice velocity on model mesh.
    Keywords: Arctic; CMST; File content; File format; File name; File size; Fram Strait; sea ice drift; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 75 data points
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  • 3
    Publication Date: 2021-07-05
    Description: Optically active water constituents attenuate solar radiation and hence affect the vertical distribution of energy in the upper ocean. To understand their implications, we operate an ocean biogeochemical model coupled to a general circulation model with sea ice. Incorporating the effect of phytoplankton and colored dissolved organic matter (CDOM) on light attenuation in the model increases the sea surface temperature in summer and decreases sea ice concentration in the Arctic Ocean. Locally, the sea ice season is reduced by up to one month. CDOM drives a significant part of these changes, suggesting that an increase of this material will amplify the observed Arctic surface warming through its direct thermal effect. Indirectly, changing advective processes in the Nordic Seas may further intensify this effect. Our results emphasize the phytoplankton and CDOM feedbacks on the Arctic ocean and sea ice system and underline the need to consider these effects in future modeling studies to enhance their plausibility.
    Description: Plain Language Summary: The amount of microalgae and colored dissolved organic material in the ocean determines how much light is absorbed in the surface waters and how much can reach greater depths. The vertical distribution of energy affects the upper ocean temperature and general circulation. Here, we use a numerical ocean model with biogeochemistry and sea ice, in which the individual effects of microalgae and colored dissolved organic matter can be turned on and off separately. When both effects are turned on, the summertime surface temperatures in the Arctic are larger and consequently more sea ice melts, so that the sea ice season is shorter by up to one month. We find that, to a large extent, the colored dissolved material is responsible for these changes. An increase of this material due to climate change will amplify the observed Arctic surface warming. For better projections of climate change, new models should account for the effect of these light‐absorbing water constituents.
    Description: Key Points: Colored dissolved material is responsible for a significant part of the induced surface warming and sea ice loss in the Arctic Ocean. The combined effect of optical constituents reduces the sea ice season by up to one month. Considering the properties of optical constituents and their variability will enhance the plausibility of future modeling studies.
    Description: Federal Agency for Scientific Organizations (FASO) Russia http://dx.doi.org/10.13039/501100013176
    Description: German Research Foundation (DFG) http://dx.doi.org/10.13039/501100001659
    Description: Helmholtz Climate Initiative (REKLIM)
    Keywords: 551,9 ; phytoplankton ; CDOM ; Arctic Ocean ; colored dissolved organic matter ; radiative effect ; light attenuation
    Type: article
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