Journal metrics

Journal metrics

  • IF value: 1.129 IF 1.129
  • IF 5-year value: 1.519 IF 5-year 1.519
  • CiteScore value: 1.54 CiteScore 1.54
  • SNIP value: 0.798 SNIP 0.798
  • SJR value: 0.610 SJR 0.610
  • IPP value: 1.41 IPP 1.41
  • h5-index value: 21 h5-index 21
  • Scimago H index value: 48 Scimago H index 48
Discussion papers | Copyright
https://doi.org/10.5194/npg-2017-74
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Jan 2018

Research article | 04 Jan 2018

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Nonlinear Processes in Geophysics (NPG) and is expected to appear here in due course.

OSSE for a sustainable marine observing network in the Marmara Sea

Ali Aydoğdu1,2,3, Timothy J. Hoar4, Tomislava Vukicevic5, Jeffrey L. Anderson4, Nadia Pinardi2,6, Alicia Karspeck4, Jonathan Hendricks4, Nancy Collins4, Francesca Macchia7, and Emin Özsoy8 Ali Aydoğdu et al.
  • 1Science and Management of Climate Change, Ca' Foscari University of Venice, Italy
  • 2Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna, Italy
  • 3Nansen Environmental and Remote Sensing Centre, Bergen, Norway
  • 4National Center for Atmospheric Research, Boulder, Colorado, USA
  • 5Office of Water Prediction, National Weather Service NOAA, USA
  • 6Department of Physics and Astronomy, University of Bologna, Italy
  • 7Barcelona Supercomputing Center (BSC), Barcelona, Spain
  • 8Eurasia Institute of Earth Sciences, Istanbul Technical University, Turkey

Abstract. An observing system simulation experiment (OSSE) is presented in the Marmara Sea. A high resolution ocean circulation model (FESOM) and an ensemble data assimilation tool (DART) are coupled. The OSSE methodology is used to assess the possible impact of a ferrybox network in the eastern Marmara Sea. A reference experiment without assimilation is performed. Then, synthetic temperature and salinity observations are assimilated along the track of the ferries in the second experiment. The results suggest that a ferrybox network in the Marmara Sea may improve the forecasts significantly. The salinity and temperature errors get smaller in the upper layer of the water column. The impact of the assimilation is negligible in the lower layer due to the strong stratification. The circulation in the Marmara Sea, particularly the Bosphorus outflow, helps to propagate the error reduction towards the western basin where no assimilation is performed. Overall, the proposed ferrybox network can be a good start to design an optimal sustained marine observing network in the Marmara Sea for assimilation purposes.

Download & links
Ali Aydoğdu et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Ali Aydoğdu et al.
Ali Aydoğdu et al.
Viewed
Total article views: 370 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
279 65 26 370 14 27
  • HTML: 279
  • PDF: 65
  • XML: 26
  • Total: 370
  • BibTeX: 14
  • EndNote: 27
Views and downloads (calculated since 04 Jan 2018)
Cumulative views and downloads (calculated since 04 Jan 2018)
Viewed (geographical distribution)
Total article views: 367 (including HTML, PDF, and XML) Thereof 366 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved
No saved metrics found.
Discussed
No discussed metrics found.
Latest update: 15 Jul 2018
Publications Copernicus
Special issue
Download
Short summary
This study presents, to our knowledge, the first data assimilation experiments in the Marmara Sea. We proposed a ferrybox network for monitoring the state of Marmara Sea and showed that assimilation of the temperature and salinity improves the forecasts in the basin. The flow of the Bosphorus helps to propagate the error reduction. The study can be taken as a step towards a marine forecasting system in the Marmara Sea which will help to improve the forecasts in the adjacent Black and Aegean Seas.
This study presents, to our knowledge, the first data assimilation experiments in the Marmara...
Citation
Share