Articles | Volume 6, issue 3
https://doi.org/10.5194/gmd-6-849-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-6-849-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
22 Jun 2013
Development and technical paper |
| 22 Jun 2013
Impacts of using spectral nudging on regional climate model RCA4 simulations of the Arctic
Rossby Centre, Swedish Meteorological and Hydrological Institute, Folkborgsvägen 17, 601 76 Norrköping, Sweden
R. Döscher
Rossby Centre, Swedish Meteorological and Hydrological Institute, Folkborgsvägen 17, 601 76 Norrköping, Sweden
T. Koenigk
Rossby Centre, Swedish Meteorological and Hydrological Institute, Folkborgsvägen 17, 601 76 Norrköping, Sweden
Viewed
Total article views: 5,659 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,922 | 2,529 | 208 | 5,659 | 256 | 194 |
- HTML: 2,922
- PDF: 2,529
- XML: 208
- Total: 5,659
- BibTeX: 256
- EndNote: 194
Total article views: 4,794 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jun 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,634 | 1,976 | 184 | 4,794 | 243 | 188 |
- HTML: 2,634
- PDF: 1,976
- XML: 184
- Total: 4,794
- BibTeX: 243
- EndNote: 188
Total article views: 865 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 288 | 553 | 24 | 865 | 13 | 6 |
- HTML: 288
- PDF: 553
- XML: 24
- Total: 865
- BibTeX: 13
- EndNote: 6
Cited
37 citations as recorded by crossref.
- Evaluation of CORDEX-Arctic daily precipitation and temperature-based climate indices over Canadian Arctic land areas E. Diaconescu et al. 10.1007/s00382-017-3736-4
- Retracing cyanobacteria blooms in the Baltic Sea U. Löptien & H. Dietze 10.1038/s41598-022-14880-w
- Arctic climate change in an ensemble of regional CORDEX simulations T. Koenigk et al. 10.3402/polar.v34.24603
- On the Application of Machine Learning Techniques to Regression Problems in Sea Level Studies M. Hieronymus et al. 10.1175/JTECH-D-19-0033.1
- A Case Study of Observed and Modeled Barrier Flow in the Denmark Strait in May 2015 A. DuVivier et al. 10.1175/MWR-D-16-0386.1
- Dynamical downscaling with the fifth-generation Canadian regional climate model (CRCM5) over the CORDEX Arctic domain: effect of large-scale spectral nudging and of empirical correction of sea-surface temperature M. Takhsha et al. 10.1007/s00382-017-3912-6
- Evaluation of CMIP5 and CORDEX derived wave climate in Indian Ocean P. Chowdhury & M. Behera 10.1007/s00382-018-4391-0
- Trends of intense cyclone activity in the Arctic from reanalyses data and regional climate models (Arctic-CORDEX) M. Akperov et al. 10.1088/1755-1315/231/1/012003
- What is the surface mass balance of Antarctica? An intercomparison of regional climate model estimates R. Mottram et al. 10.5194/tc-15-3751-2021
- The impact of wave number selection and spin‐up time in spectral nudging B. Gómez & G. Miguez‐Macho 10.1002/qj.3032
- Wave height return periods from combined measurement–model data: a Baltic Sea case study J. Björkqvist et al. 10.5194/nhess-20-3593-2020
- An algorithm based on sea-level pressure fluctuations to identify major Baltic inflow events S. Schimanke et al. 10.3402/tellusa.v66.23452
- Compound Flooding in Halmstad: Common Causes, Interannual Variability and the Effects of Climate Change M. Hieronymus et al. 10.16993/tellusa.4068
- On the effects of constraining atmospheric circulation in a coupled atmosphere-ocean Arctic regional climate model P. Berg et al. 10.1007/s00382-015-2783-y
- Model Consistent Pseudo-Observations of Precipitation and Their Use for Bias Correcting Regional Climate Models P. Berg et al. 10.3390/cli3010118
- Arctic budget study of intermember variability using HIRHAM5 ensemble simulations A. Sommerfeld et al. 10.1002/2015JD023153
- Reliability of Antarctic air temperature changes from Polar WRF: A comparison with observations and MAR outputs Y. Zhang et al. 10.1016/j.atmosres.2021.105967
- Future Projections of Fire Occurrence in Brazil Using EC-Earth Climate Model P. Silva et al. 10.1590/0102-778631320150142
- An assessment of the Polar Weather Research and Forecasting (WRF) model representation of near‐surface meteorological variables over West Antarctica P. Deb et al. 10.1002/2015JD024037
- Projected changes in near-surface wind speed in the Arctic by a regional climate model M. Akperov et al. 10.1016/j.polar.2024.101162
- Impact of Ice Data Quality and Treatment on Wave Hindcast Statistics in Seasonally Ice-Covered Seas L. Tuomi et al. 10.3389/feart.2019.00166
- Biogeophysical feedbacks enhance the Arctic terrestrial carbon sink in regional Earth system dynamics W. Zhang et al. 10.5194/bg-11-5503-2014
- The effects of mean sea level rise and strengthened winds on extreme sea levels in the Baltic Sea M. Hieronymus et al. 10.1016/j.taml.2018.06.008
- Evaluation of the atmosphere–land–ocean–sea ice interface processes in the Regional Arctic System Model version 1 (RASM1) using local and globally gridded observations M. Brunke et al. 10.5194/gmd-11-4817-2018
- Future projections of wind energy potentials in the arctic for the 21st century under the RCP8.5 scenario from regional climate models (Arctic-CORDEX) M. Akperov et al. 10.1016/j.ancene.2023.100402
- Sea level modelling in the Baltic and the North Sea: The respective role of different parts of the forcing M. Hieronymus et al. 10.1016/j.ocemod.2017.08.007
- Cyclone Activity in the Arctic From an Ensemble of Regional Climate Models (Arctic CORDEX) M. Akperov et al. 10.1002/2017JD027703
- The impact of regional climate model formulation and resolution on simulated precipitation in Africa M. Wu et al. 10.5194/esd-11-377-2020
- Do dynamic regional models add value to the global model projections of Indian monsoon? S. Singh et al. 10.1007/s00382-016-3147-y
- Sea-ice evaluation of NEMO-Nordic 1.0: a NEMO–LIM3.6-based ocean–sea-ice model setup for the North Sea and Baltic Sea P. Pemberton et al. 10.5194/gmd-10-3105-2017
- Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications R. Hordoir et al. 10.5194/gmd-12-363-2019
- Future projections of cyclone activity in the Arctic for the 21st century from regional climate models (Arctic-CORDEX) M. Akperov et al. 10.1016/j.gloplacha.2019.103005
- The Interplay of Recent Vegetation and Sea Ice Dynamics—Results From a Regional Earth System Model Over the Arctic W. Zhang et al. 10.1029/2019GL085982
- A Novel Machine Learning Based Bias Correction Method and Its Application to Sea Level in an Ensemble of Downscaled Climate Projections M. Hieronymus & F. Hieronymus 10.16993/tellusa.3216
- Simulation of Optimal Decision-Making Under the Impacts of Climate Change L. Møller et al. 10.1007/s00267-017-0852-1
- Sea Ice Enhancements to Polar WRF* K. Hines et al. 10.1175/MWR-D-14-00344.1
- On the ability of RCMs to capture the circulation pattern of Etesians S. Dafka et al. 10.1007/s00382-017-3977-2
34 citations as recorded by crossref.
- Evaluation of CORDEX-Arctic daily precipitation and temperature-based climate indices over Canadian Arctic land areas E. Diaconescu et al. 10.1007/s00382-017-3736-4
- Retracing cyanobacteria blooms in the Baltic Sea U. Löptien & H. Dietze 10.1038/s41598-022-14880-w
- Arctic climate change in an ensemble of regional CORDEX simulations T. Koenigk et al. 10.3402/polar.v34.24603
- On the Application of Machine Learning Techniques to Regression Problems in Sea Level Studies M. Hieronymus et al. 10.1175/JTECH-D-19-0033.1
- A Case Study of Observed and Modeled Barrier Flow in the Denmark Strait in May 2015 A. DuVivier et al. 10.1175/MWR-D-16-0386.1
- Dynamical downscaling with the fifth-generation Canadian regional climate model (CRCM5) over the CORDEX Arctic domain: effect of large-scale spectral nudging and of empirical correction of sea-surface temperature M. Takhsha et al. 10.1007/s00382-017-3912-6
- Evaluation of CMIP5 and CORDEX derived wave climate in Indian Ocean P. Chowdhury & M. Behera 10.1007/s00382-018-4391-0
- Trends of intense cyclone activity in the Arctic from reanalyses data and regional climate models (Arctic-CORDEX) M. Akperov et al. 10.1088/1755-1315/231/1/012003
- What is the surface mass balance of Antarctica? An intercomparison of regional climate model estimates R. Mottram et al. 10.5194/tc-15-3751-2021
- The impact of wave number selection and spin‐up time in spectral nudging B. Gómez & G. Miguez‐Macho 10.1002/qj.3032
- Wave height return periods from combined measurement–model data: a Baltic Sea case study J. Björkqvist et al. 10.5194/nhess-20-3593-2020
- An algorithm based on sea-level pressure fluctuations to identify major Baltic inflow events S. Schimanke et al. 10.3402/tellusa.v66.23452
- Compound Flooding in Halmstad: Common Causes, Interannual Variability and the Effects of Climate Change M. Hieronymus et al. 10.16993/tellusa.4068
- On the effects of constraining atmospheric circulation in a coupled atmosphere-ocean Arctic regional climate model P. Berg et al. 10.1007/s00382-015-2783-y
- Model Consistent Pseudo-Observations of Precipitation and Their Use for Bias Correcting Regional Climate Models P. Berg et al. 10.3390/cli3010118
- Arctic budget study of intermember variability using HIRHAM5 ensemble simulations A. Sommerfeld et al. 10.1002/2015JD023153
- Reliability of Antarctic air temperature changes from Polar WRF: A comparison with observations and MAR outputs Y. Zhang et al. 10.1016/j.atmosres.2021.105967
- Future Projections of Fire Occurrence in Brazil Using EC-Earth Climate Model P. Silva et al. 10.1590/0102-778631320150142
- An assessment of the Polar Weather Research and Forecasting (WRF) model representation of near‐surface meteorological variables over West Antarctica P. Deb et al. 10.1002/2015JD024037
- Projected changes in near-surface wind speed in the Arctic by a regional climate model M. Akperov et al. 10.1016/j.polar.2024.101162
- Impact of Ice Data Quality and Treatment on Wave Hindcast Statistics in Seasonally Ice-Covered Seas L. Tuomi et al. 10.3389/feart.2019.00166
- Biogeophysical feedbacks enhance the Arctic terrestrial carbon sink in regional Earth system dynamics W. Zhang et al. 10.5194/bg-11-5503-2014
- The effects of mean sea level rise and strengthened winds on extreme sea levels in the Baltic Sea M. Hieronymus et al. 10.1016/j.taml.2018.06.008
- Evaluation of the atmosphere–land–ocean–sea ice interface processes in the Regional Arctic System Model version 1 (RASM1) using local and globally gridded observations M. Brunke et al. 10.5194/gmd-11-4817-2018
- Future projections of wind energy potentials in the arctic for the 21st century under the RCP8.5 scenario from regional climate models (Arctic-CORDEX) M. Akperov et al. 10.1016/j.ancene.2023.100402
- Sea level modelling in the Baltic and the North Sea: The respective role of different parts of the forcing M. Hieronymus et al. 10.1016/j.ocemod.2017.08.007
- Cyclone Activity in the Arctic From an Ensemble of Regional Climate Models (Arctic CORDEX) M. Akperov et al. 10.1002/2017JD027703
- The impact of regional climate model formulation and resolution on simulated precipitation in Africa M. Wu et al. 10.5194/esd-11-377-2020
- Do dynamic regional models add value to the global model projections of Indian monsoon? S. Singh et al. 10.1007/s00382-016-3147-y
- Sea-ice evaluation of NEMO-Nordic 1.0: a NEMO–LIM3.6-based ocean–sea-ice model setup for the North Sea and Baltic Sea P. Pemberton et al. 10.5194/gmd-10-3105-2017
- Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications R. Hordoir et al. 10.5194/gmd-12-363-2019
- Future projections of cyclone activity in the Arctic for the 21st century from regional climate models (Arctic-CORDEX) M. Akperov et al. 10.1016/j.gloplacha.2019.103005
- The Interplay of Recent Vegetation and Sea Ice Dynamics—Results From a Regional Earth System Model Over the Arctic W. Zhang et al. 10.1029/2019GL085982
- A Novel Machine Learning Based Bias Correction Method and Its Application to Sea Level in an Ensemble of Downscaled Climate Projections M. Hieronymus & F. Hieronymus 10.16993/tellusa.3216
3 citations as recorded by crossref.
- Simulation of Optimal Decision-Making Under the Impacts of Climate Change L. Møller et al. 10.1007/s00267-017-0852-1
- Sea Ice Enhancements to Polar WRF* K. Hines et al. 10.1175/MWR-D-14-00344.1
- On the ability of RCMs to capture the circulation pattern of Etesians S. Dafka et al. 10.1007/s00382-017-3977-2
Saved (final revised paper)
Latest update: 31 May 2025
