Articles | Volume 18, issue 10
Atmos. Chem. Phys., 18, 7169–7187, 2018
https://doi.org/10.5194/acp-18-7169-2018

Special issue: The SPARC Reanalysis Intercomparison Project (S-RIP) (ACP/ESSD...

Atmos. Chem. Phys., 18, 7169–7187, 2018
https://doi.org/10.5194/acp-18-7169-2018

Research article 24 May 2018

Research article | 24 May 2018

A comparison of the momentum budget in reanalysis datasets during sudden stratospheric warming events

Patrick Martineau et al.

Data sets

Japanese 25-year Reanalysis Project Central Research Institute of Electric Power Industry and Japan Meteorological Agency http://rda.ucar.edu/datasets/ds625.0/

ERA Interim, daily, pressure levels ECMWF http://apps.ecmwf.int/datasets/data/interim-full-daily/levtype=pl/

inst3_3d_asm_Cp: MERRA 3D IAU State, Meteorology Instantaneous 3-hourly V5.2.0 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/8D4LU4390C4S

MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly, Instantaneous, Pressure-Level, Assimilation, Assimilated Meteorological Fields V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/QBZ6MG944HW0

JRA-55: Japanese 55-year Reanalysis, Daily 3-Hourly and 6-Hourly Data Japan Meteorological Agency https://doi.org/10.5065/D6HH6H41

NCEP/NCAR Global Reanalysis Products, 1948-continuing National Centers for Environmental Prediction http://rda.ucar.edu/datasets/ds090.0/

NCEP/DOE Reanalysis 2 (R2) National Centers for Environmental Prediction http://rda.ucar.edu/datasets/ds091.0/

NCEP Climate Forecast System Reanalysis (CFSR) 6-hourly Products, January 1979 to December 2010 S. Saha, S. Moorthi, H. Pan, X. Wu, J. Wang, S. Nadiga, P. Tripp, R. Kistler, J. Woollen, D. Behringer, H. Liu, D. Stokes, R. Grumbine, G. Gayno, J. Wang, Y. Hou, H. Chuang, H. H. Juang, J. Sela, M. Iredell, R. Treadon, D. Kleist, P. Van Delst, D. Keyser, J. Derber, M. Ek, J. Meng, H. Wei, R. Yang, S. Lord, H. van den Dool, A. Kumar, W. Wang, C. Long, M. Chelliah, Y. Xue, B. Huang, J. Schemm, W. Ebisuzaki, R. Lin, P. Xie, M. Chen, S. Zhou, W. Higgins, C. Zou, Q. Liu, Y. Chen, Y. Han, L. Cucurull, R. W. Reynolds, G. Rutledge, and M. Goldberg https://doi.org/10.5065/D69K487J

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Short summary
This study evaluates the agreement between eight reanalysis datasets by comparing zonal-mean zonal winds and the forcing terms of the zonal-mean momentum equation during sudden stratospheric warming events. Results show that the spread between datasets increases exponentially with height and is largest during the most intense sudden stratospheric warming events. The largest uncertainties arise from differences in the mean meridional circulation and horizontal fluxes of momentum by eddies.
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