GLORIA

GEOMAR Library Ocean Research Information Access

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Document type
Keywords
Publisher
Language
Years
  • 1
    Online Resource
    Online Resource
    Fernerkundung des Meereises mit passiven und aktiven Mikrowellensensoren (2003)
    Details Availability
    Keywords: Hochschulschrift ; Svalbard ; Meereis ; Fernerkundung ; Mikrowellensensor
    Description / Table of Contents: Sea ice, Microwave Remote Sensing, Ice Concentration, SSM/I, SAR, AMSR, ARTIST, ASI, NED, LVQ, Texture, Data Fusion, Frost Flowers, Pancake Ice. - The aim of this study is to reveal inconsistencies between the established sea ice retrieval algorithms as well as to develop and validate new algorithms. The main focus lies on two sensors, the Special Sensor Microwave/Imager (SSM/I) and the Synthetic Aperture Radar (SAR). The project ARTIST was conducted in the environment of the Svalbard archipelago in spring 1998. The core activity was an extensive field study with airborne measurements simultaneously to satellite overpasses. Thereby two new aircraft microwave radiometers operating at 19 and 37 GHz were used. The ARTIST Sea Ice (ASI) algorithm is a method to estimate the sea ice concentration ...
    Type of Medium: Online Resource
    Pages: 192 p. = 8431 KB, text and images
    Edition: [Elektronische Ressource]
    URL: http://nbn-resolving.de/urn:nbn:de:gbv:46-diss000006281
    Language: German
    Note: Bremen, Univ., Diss., 2003
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    GEOMAR CATALOGUE
    Link to Library Catalog
    get availability status
  • 2
    Online Resource
    Online Resource
    Seasonal modification of the Arctic Ocean intermediate water layer off the eastern Laptev Sea continental shelf break (2009)
    Associated volumes
    Details Availability
    In: Journal of geophysical research. C, Oceans, Hoboken, NJ : Wiley, 1978, 114(2009), 6, 2169-9291
    In: volume:114
    In: year:2009
    In: number:6
    In: extent:19
    Description / Table of Contents: Through the analysis of observational mooring data collected at the northeastern Laptev Sea continental slope in 2004-2007, we document a hydrographic seasonal signal in the intermediate Atlantic Water (AW) layer, with generally higher temperature and salinity from December-January to May-July and lower values from May-July to December-January. At the mooring position, this seasonal signal dominates, contributing up to 75% of the total variance. Our data suggest that the entire AW layer down to at least 840 m is affected by seasonal cycling, although the strength of the seasonal signal in temperature and salinity reduces from 260 m (±0.25ʿC and ±0.025 psu) to 840 m (±0.05ʿC and ±0.005 psu). The seasonal velocity signal is substantially weaker, strongly masked by high-frequency variability, and lags the thermohaline cycle by 45-75 days. We hypothesize that our mooring record shows a time history of the along-margin propagation of the AW seasonal signal carried downstream by the AW boundary current. Our analysis suggests that the seasonal signal in the Fram Strait Branch of AW (FSBW) at 260 m is predominantly translated from Fram Strait, while the seasonality in the Barents Sea branch of AW (BSBW) domain (at 840 m) is attributed instead to the seasonal signal input from the Barents Sea. However, the characteristic signature of the BSBW seasonal dynamics observed through the entire AW layer leads us to speculate that BSBW also plays a role in seasonally modifying the properties of the FSBW.
    Type of Medium: Online Resource
    Pages: 19 , graph. Darst
    ISSN: 2169-9291
    URL: http://onlinelibrary.wiley.com/enhanced/doi/10.1029/2008JC005229/
    DOI: 10.1029/2008JC005229
    Language: English
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    GEOMAR CATALOGUE
    Link to Library Catalog
    get availability status
  • 3
    facet.materialart.
    Unknown
    Validation of SMOS sea ice thickness retrieval in the northern Baltic Sea (2015)
    Taylor & Francis
    In:  Tellus A: Dynamic meteorology and oceanography, 67 . p. 24617.
    Details
    Publication Date: 2015-08-03
    Description: The Soil Moisture and Ocean Salinity (SMOS) mission observes brightness temperatures at a low microwave frequency of 1.4 GHz (L-band) with a daily coverage of the polar regions. L-band radiometry has been shown to provide information on the thickness of thin sea ice. Here, we apply a new emission model that has previously been used to investigate the impact of snow on thick Arctic sea ice. The model has not yet been used to retrieve ice thickness. In contrast to previous SMOS ice thickness retrievals, the new model allows us to include a snow layer in the brightness temperature simulations. Using ice thickness estimations from satellite thermal imagery, we simulate brightness temperatures during the ice growth season 2011 in the northern Baltic Sea. In both the simulations and the SMOS observations, brightness temperatures increase by more than 20 K, most likely due to an increase of ice thickness. Only if we include the snow in the model, the absolute values of the simulations and the observations agree well (mean deviations below 3.5 K). In a second comparison, we use high-resolution measurements of total ice thickness (sum of ice and snow thickness) from an electromagnetic (EM) sounding system to simulate brightness temperatures for 12 circular areas. While the SMOS observations and the simulations that use the EM modal ice thickness are highly correlated (r2=0.95), the simulated brightness temperatures are on average 12 K higher than observed by SMOS. This would correspond to an 8-cm overestimation of the modal ice thickness by the SMOS retrieval. In contrast, if the simulations take into account the shape of the EM ice thickness distributions (r2=0.87), the mean deviation between simulated and observed brightness temperatures is below 0.1 K.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.3402/tellusa.v67.24617
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 4
    facet.materialart.
    Unknown
    SMOS-derived thin sea ice thickness: algorithm baseline, product specifications and initial verification (2014)
    Copernicus Publications (EGU)
    In:  The Cryosphere, 8 (3). pp. 997-1018.
    Details
    Publication Date: 2015-03-13
    Description: Following the launch of ESA's Soil Moisture and Ocean Salinity (SMOS) mission, it has been shown that brightness temperatures at a low microwave frequency of 1.4 GHz (L-band) are sensitive to sea ice properties. In the first demonstration study, sea ice thickness up to 50 cm has been derived using a semi-empirical algorithm with constant tie-points. Here, we introduce a novel iterative retrieval algorithm that is based on a thermodynamic sea ice model and a three-layer radiative transfer model, which explicitly takes variations of ice temperature and ice salinity into account. In addition, ice thickness variations within the SMOS spatial resolution are considered through a statistical thickness distribution function derived from high-resolution ice thickness measurements from NASA's Operation IceBridge campaign. This new algorithm has been used for the continuous operational production of a SMOS-based sea ice thickness data set from 2010 on. The data set is compared to and validated with estimates from assimilation systems, remote sensing data, and airborne electromagnetic sounding data. The comparisons show that the new retrieval algorithm has a considerably better agreement with the validation data and delivers a more realistic Arctic-wide ice thickness distribution than the algorithm used in the previous study (Kaleschke et al., 2012).
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.5194/tc-8-997-2014
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 5
    facet.materialart.
    Unknown
    Mesoscale modelling of the Arctic atmospheric boundary layer and its interaction with sea ice (2011)
    Springer
    In:  In: Arctic Climate Change : the ACSYS Decade and Beyond. , ed. by Lemke, P. and Jacobi, H. W. Atmospheric and oceanographic sciences library : ASTL, 43 . Springer, Dordrecht, The Netherlands, pp. 279-324. ISBN 978-94-007-2026-8
    Details
    Publication Date: 2018-01-19
    Type: Book chapter , NonPeerReviewed
    Format: text
    DOI: 10.1007/978-94-007-2027-5_7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    OceanRep: Book chapter
  • 6
    facet.materialart.
    Unknown
    The MOSAiC ice floe: sediment-laden survivor from the Siberian shelf (2020)
    Copernicus Publications (EGU)
    Details
    Publication Date: 2023-02-08
    Description: In September 2019, the research icebreaker Polarstern started the largest multidisciplinary Arctic expedition to date, the MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) drift experiment. Being moored to an ice floe for a whole year, thus including the winter season, the declared goal of the expedition is to better understand and quantify relevant processes within the atmosphere–ice–ocean system that impact the sea ice mass and energy budget, ultimately leading to much improved climate models. Satellite observations, atmospheric reanalysis data, and readings from a nearby meteorological station indicate that the interplay of high ice export in late winter and exceptionally high air temperatures resulted in the longest ice-free summer period since reliable instrumental records began. We show, using a Lagrangian tracking tool and a thermodynamic sea ice model, that the MOSAiC floe carrying the Central Observatory (CO) formed in a polynya event north of the New Siberian Islands at the beginning of December 2018. The results further indicate that sea ice in the vicinity of the CO (〈40 km distance) was younger and 36 % thinner than the surrounding ice with potential consequences for ice dynamics and momentum and heat transfer between ocean and atmosphere. Sea ice surveys carried out on various reference floes in autumn 2019 verify this gradient in ice thickness, and sediments discovered in ice cores (so-called dirty sea ice) around the CO confirm contact with shallow waters in an early phase of growth, consistent with the tracking analysis. Since less and less ice from the Siberian shelves survives its first summer (Krumpen et al., 2019), the MOSAiC experiment provides the unique opportunity to study the role of sea ice as a transport medium for gases, macronutrients, iron, organic matter, sediments and pollutants from shelf areas to the central Arctic Ocean and beyond. Compared to data for the past 26 years, the sea ice encountered at the end of September 2019 can already be classified as exceptionally thin, and further predicted changes towards a seasonally ice-free ocean will likely cut off the long-range transport of ice-rafted materials by the Transpolar Drift in the future. A reduced long-range transport of sea ice would have strong implications for the redistribution of biogeochemical matter in the central Arctic Ocean, with consequences for the balance of climate-relevant trace gases, primary production and biodiversity in the Arctic Ocean.
    Type: Article , PeerReviewed
    Format: text
    Format: text
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 7
    facet.materialart.
    Unknown
    Seasonal modification of the Arctic Ocean intermediate water layer off the eastern Laptev Sea continental shelf break (2009)
    AGU (American Geophysical Union)
    In:  Journal of Geophysical Research: Oceans, 114 (C6). C06010.
    Details
    Publication Date: 2019-09-23
    Description: Through the analysis of observational mooring data collected at the northeastern Laptev Sea continental slope in 2004–2007, we document a hydrographic seasonal signal in the intermediate Atlantic Water (AW) layer, with generally higher temperature and salinity from December–January to May–July and lower values from May–July to December–January. At the mooring position, this seasonal signal dominates, contributing up to 75% of the total variance. Our data suggest that the entire AW layer down to at least 840 m is affected by seasonal cycling, although the strength of the seasonal signal in temperature and salinity reduces from 260 m (±0.25°C and ±0.025 psu) to 840 m (±0.05°C and ±0.005 psu). The seasonal velocity signal is substantially weaker, strongly masked by high-frequency variability, and lags the thermohaline cycle by 45–75 days. We hypothesize that our mooring record shows a time history of the along-margin propagation of the AW seasonal signal carried downstream by the AW boundary current. Our analysis suggests that the seasonal signal in the Fram Strait Branch of AW (FSBW) at 260 m is predominantly translated from Fram Strait, while the seasonality in the Barents Sea branch of AW (BSBW) domain (at 840 m) is attributed instead to the seasonal signal input from the Barents Sea. However, the characteristic signature of the BSBW seasonal dynamics observed through the entire AW layer leads us to speculate that BSBW also plays a role in seasonally modifying the properties of the FSBW.
    Type: Article , PeerReviewed
    Format: text
    Format: text
    Format: text
    DOI: 10.1029/2008JC005229
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 8
    facet.materialart.
    Unknown
    Sea ice drift, surface temperature, and barometric pressure from autonomous measurements from buoy 2015C7, deployed during the Norwegian Young sea ICE cruise N-ICE 2015 (2017)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-03-16
    Description: Sea ice drift, surface temperature, and barometric pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) 2015C7 drifting on Arctic sea ice. The buoy was deployed during the Norwegian Young sea ICE cruise (N-ICE 2015) project. The time series describes the position and additional parameters of the buoy between 20 Apr 2015 and 06 Jun 2015 in sample intervals of 1 hour. The data set has been processed, including the removal of obvious inconsistencies (missing values).
    Keywords: 2015C7; Arctic Ocean; AWI_SeaIce; Buoy, Compact Air-Launched Ice Beacon; CALIB; DATE/TIME; LATITUDE; LONGITUDE; Pressure, atmospheric; Sea Ice Physics @ AWI; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2278 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 9
    facet.materialart.
    Unknown
    Sea ice drift, surface temperature, and barometric pressure from autonomous measurements from buoy 2015C5, deployed during the Norwegian Young sea ICE cruise N-ICE 2015 (2017)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-03-16
    Description: Sea ice drift, surface temperature, and barometric pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) 2015C5 drifting on Arctic sea ice. The buoy was deployed during the Norwegian Young sea ICE cruise (N-ICE 2015) project. The time series describes the position and additional parameters of the buoy between 10 Feb 2015 and 18 Mar 2015 in sample intervals of 1 hour. The data set has been processed, including the removal of obvious inconsistencies (missing values).
    Keywords: 2015C5; Arctic Ocean; AWI_SeaIce; Buoy, Compact Air-Launched Ice Beacon; CALIB; DATE/TIME; LATITUDE; LONGITUDE; Pressure, atmospheric; Sea Ice Physics @ AWI; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1752 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 10
    facet.materialart.
    Unknown
    Sea ice drift, surface temperature, and barometric pressure from autonomous measurements from buoy 2015C1, deployed during the Norwegian Young sea ICE cruise N-ICE 2015 (2017)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-03-16
    Description: Sea ice drift, surface temperature, and barometric pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) 2015C1 drifting on Arctic sea ice. The buoy was deployed during the Norwegian Young sea ICE cruise (N-ICE 2015) project. The time series describes the position and additional parameters of the buoy between 28 Jan 2015 and 27 Mar 2015 in sample intervals of 1 hour. The data set has been processed, including the removal of obvious inconsistencies (missing values).
    Keywords: 2015C1; Arctic Ocean; AWI_SeaIce; Buoy, Compact Air-Launched Ice Beacon; CALIB; DATE/TIME; LATITUDE; LONGITUDE; Pressure, atmospheric; Sea Ice Physics @ AWI; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2786 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...