Articles | Volume 8, issue 5
https://doi.org/10.5194/os-8-827-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-8-827-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Sep 2012
Research article |
| 27 Sep 2012
A 20-year reanalysis experiment in the Baltic Sea using three-dimensional variational (3DVAR) method
W. Fu
Center for Ocean and Ice (COI), Danish Meteorological Institute (DMI), Copenhagen, 2100, Denmark
J. She
Center for Ocean and Ice (COI), Danish Meteorological Institute (DMI), Copenhagen, 2100, Denmark
M. Dobrynin
Center for Ocean and Ice (COI), Danish Meteorological Institute (DMI), Copenhagen, 2100, Denmark
Viewed
Total article views: 5,994 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 08 May 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,028 | 2,815 | 151 | 5,994 | 156 | 117 |
- HTML: 3,028
- PDF: 2,815
- XML: 151
- Total: 5,994
- BibTeX: 156
- EndNote: 117
Total article views: 5,127 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 27 Sep 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,693 | 2,310 | 124 | 5,127 | 136 | 113 |
- HTML: 2,693
- PDF: 2,310
- XML: 124
- Total: 5,127
- BibTeX: 136
- EndNote: 113
Total article views: 867 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 08 May 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 335 | 505 | 27 | 867 | 20 | 4 |
- HTML: 335
- PDF: 505
- XML: 27
- Total: 867
- BibTeX: 20
- EndNote: 4
Cited
26 citations as recorded by crossref.
- Sound speed profiles in high spatiotemporal resolution using multigrid three-dimensional variational method: a coastal experiment off northern Shandong Peninsula G. Hou et al. 10.1007/s00343-022-1295-y
- Determination of Accurate Dynamic Topography for the Baltic Sea Using Satellite Altimetry and a Marine Geoid Model M. Mostafavi et al. 10.3390/rs15082189
- Simulating major storm surge events in a complex coastal region E. Andrée et al. 10.1016/j.ocemod.2021.101802
- Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry K. Madsen et al. 10.3389/feart.2019.00243
- Developing community marine data service for Blue Growth sectors J. She & J. Murawski 10.1080/1755876X.2019.1644095
- Physical processes in the transition zone between North Sea and Baltic Sea. Numerical simulations and observations E. Stanev et al. 10.1016/j.ocemod.2015.07.002
- The role of preconditioning for extreme storm surges in the western Baltic Sea E. Andrée et al. 10.5194/nhess-23-1817-2023
- MOMBA 1.1 – a high-resolution Baltic Sea configuration of GFDL's Modular Ocean Model H. Dietze et al. 10.5194/gmd-7-1713-2014
- Improvements in turbulence model realizability for enhanced stability of ocean forecast and its importance for downstream components T. Brüning 10.1007/s10236-020-01353-9
- Decomposing Mean Sea Level Rise in a Semi-Enclosed Basin, the Baltic Sea U. Gräwe et al. 10.1175/JCLI-D-18-0174.1
- Improving the multiannual, high-resolution modelling of biogeochemical cycles in the Baltic Sea by using data assimilation Y. Liu et al. 10.3402/tellusa.v66.24908
- Investigation of sea level variability in the Baltic Sea from tide gauge, satellite altimeter data, and model reanalysis Q. Xu et al. 10.1080/01431161.2015.1043405
- Unstructured-grid model for the North Sea and Baltic Sea: Validation against observations Y. Zhang et al. 10.1016/j.ocemod.2015.11.009
- Regional wave model climate projections for coastal impact assessments under a high greenhouse gas emission scenario J. Su et al. 10.3389/fmars.2022.910088
- Simulating wind-driven extreme sea levels: Sensitivity to wind speed and direction E. Andrée et al. 10.1016/j.wace.2022.100422
- Reanalyzing temperature and salinity on decadal time scales using the ensemble optimal interpolation data assimilation method and a 3D ocean circulation model of the Baltic Sea Y. Liu et al. 10.1002/jgrc.20384
- Application of 3-D ensemble variational data assimilation to a Baltic Sea reanalysis 19892013 L. Axell & Y. Liu 10.3402/tellusa.v68.24220
- The Risk for Novel and Disappearing Environmental Conditions in the Baltic Sea T. Blenckner et al. 10.3389/fmars.2021.745722
- On the Role of Temperature and Salinity Data Assimilation to Constrain a Coupled Physical–Biogeochemical Model in the Baltic Sea W. Fu 10.1175/JPO-D-15-0027.1
- Resolved complex coastlines and land–sea contrasts in a high-resolution regional climate model: a comparative study using prescribed and modelled SSTs T. Tian et al. 10.3402/tellusa.v65i0.19951
- Advantages of vertically adaptive coordinates in numerical models of stratified shelf seas U. Gräwe et al. 10.1016/j.ocemod.2015.05.008
- Assimilating high-resolution sea surface temperature data improves the ocean forecast potential in the Baltic Sea Y. Liu & W. Fu 10.5194/os-14-525-2018
- Baltic Sea Operational Oceanography—A Stimulant for Regional Earth System Research J. She et al. 10.3389/feart.2020.00007
- Blending of satellite and tide gauge sea level observations and its assimilation in a storm surge model of the North Sea and Baltic Sea K. Madsen et al. 10.1002/2015JC011070
- Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis Y. Liu et al. 10.5194/bg-14-2113-2017
- Influence of atmospheric forcing and freshwater discharge on interannual variability of the vertical diffuse attenuation coefficient at 490nm in the Baltic Sea M. Stramska & M. Świrgoń 10.1016/j.rse.2013.08.043
26 citations as recorded by crossref.
- Sound speed profiles in high spatiotemporal resolution using multigrid three-dimensional variational method: a coastal experiment off northern Shandong Peninsula G. Hou et al. 10.1007/s00343-022-1295-y
- Determination of Accurate Dynamic Topography for the Baltic Sea Using Satellite Altimetry and a Marine Geoid Model M. Mostafavi et al. 10.3390/rs15082189
- Simulating major storm surge events in a complex coastal region E. Andrée et al. 10.1016/j.ocemod.2021.101802
- Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry K. Madsen et al. 10.3389/feart.2019.00243
- Developing community marine data service for Blue Growth sectors J. She & J. Murawski 10.1080/1755876X.2019.1644095
- Physical processes in the transition zone between North Sea and Baltic Sea. Numerical simulations and observations E. Stanev et al. 10.1016/j.ocemod.2015.07.002
- The role of preconditioning for extreme storm surges in the western Baltic Sea E. Andrée et al. 10.5194/nhess-23-1817-2023
- MOMBA 1.1 – a high-resolution Baltic Sea configuration of GFDL's Modular Ocean Model H. Dietze et al. 10.5194/gmd-7-1713-2014
- Improvements in turbulence model realizability for enhanced stability of ocean forecast and its importance for downstream components T. Brüning 10.1007/s10236-020-01353-9
- Decomposing Mean Sea Level Rise in a Semi-Enclosed Basin, the Baltic Sea U. Gräwe et al. 10.1175/JCLI-D-18-0174.1
- Improving the multiannual, high-resolution modelling of biogeochemical cycles in the Baltic Sea by using data assimilation Y. Liu et al. 10.3402/tellusa.v66.24908
- Investigation of sea level variability in the Baltic Sea from tide gauge, satellite altimeter data, and model reanalysis Q. Xu et al. 10.1080/01431161.2015.1043405
- Unstructured-grid model for the North Sea and Baltic Sea: Validation against observations Y. Zhang et al. 10.1016/j.ocemod.2015.11.009
- Regional wave model climate projections for coastal impact assessments under a high greenhouse gas emission scenario J. Su et al. 10.3389/fmars.2022.910088
- Simulating wind-driven extreme sea levels: Sensitivity to wind speed and direction E. Andrée et al. 10.1016/j.wace.2022.100422
- Reanalyzing temperature and salinity on decadal time scales using the ensemble optimal interpolation data assimilation method and a 3D ocean circulation model of the Baltic Sea Y. Liu et al. 10.1002/jgrc.20384
- Application of 3-D ensemble variational data assimilation to a Baltic Sea reanalysis 19892013 L. Axell & Y. Liu 10.3402/tellusa.v68.24220
- The Risk for Novel and Disappearing Environmental Conditions in the Baltic Sea T. Blenckner et al. 10.3389/fmars.2021.745722
- On the Role of Temperature and Salinity Data Assimilation to Constrain a Coupled Physical–Biogeochemical Model in the Baltic Sea W. Fu 10.1175/JPO-D-15-0027.1
- Resolved complex coastlines and land–sea contrasts in a high-resolution regional climate model: a comparative study using prescribed and modelled SSTs T. Tian et al. 10.3402/tellusa.v65i0.19951
- Advantages of vertically adaptive coordinates in numerical models of stratified shelf seas U. Gräwe et al. 10.1016/j.ocemod.2015.05.008
- Assimilating high-resolution sea surface temperature data improves the ocean forecast potential in the Baltic Sea Y. Liu & W. Fu 10.5194/os-14-525-2018
- Baltic Sea Operational Oceanography—A Stimulant for Regional Earth System Research J. She et al. 10.3389/feart.2020.00007
- Blending of satellite and tide gauge sea level observations and its assimilation in a storm surge model of the North Sea and Baltic Sea K. Madsen et al. 10.1002/2015JC011070
- Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis Y. Liu et al. 10.5194/bg-14-2113-2017
- Influence of atmospheric forcing and freshwater discharge on interannual variability of the vertical diffuse attenuation coefficient at 490nm in the Baltic Sea M. Stramska & M. Świrgoń 10.1016/j.rse.2013.08.043
Saved (final revised paper)
Latest update: 13 Dec 2024
