Relevance of climatological background error statistics for mesoscale data assimilation
By: Jelena Bojarova and Nils Gustafsson
References
- Bengtsson
, L., Andrae, U., Aspelien, T., Batrak, Y., Calvo, J. co-authors. 2017. The HARMONIE-AROME model configuration in the ALADIN-HIRLAM NWP system. Mon. Wea. Rev., 1919– 1935. doi: 10.1175/MWR-D-16-0417.1 - Berre
, L. 2000. Estimation of synoptic and mesoscale forecast error covariances in a limited area model. Mon. Wea. Rev., 644– 667. doi: 10.1175/1520-0493(2000)128<;0644:EOSAMF>2.0.CO;2 - Blazika
, V., Gustafsson, N.and Zagar, N. 2015. The impact of periodization methods on the kinetic energy spectra for limited-area numerical weather prediction models. Geosci. Model Dev., 87– 97. doi: 10.5194/gmd-8-87-2015 - Bubnova
, R., Hello, G., Benard, P.and Geleyn, J.-F. 1995. Integration of the fully elastic equations cast in the hydrostatic pressure terrain following coordinate in the framework of the ARPEGE/Aladin NWP system. Mon. Wea. Rev., 515– 535. doi: 10.1175/1520-0493(1995)123<;0515:IOTFEE>2.0.CO;2 - Fischer
, C., Montmerle, T., Berre, L., Auger, L.and Ştefănescu, S. E. 2005. An overview of the variational assimilationin the Aladin/France NWP system. Q J. R Meteorol. Soc., 3477– 3492. doi: 10.1256/qj.05.115 - Gustafsson
, N.and Bojarova, J. 2014. Four-dimensional ensemble variational (4D-En-Var) data assimilation for the HIgh Resolution Limited Area Model (HIRLAM). Nonlin. Processes Geophys., 745– 762. doi: 10.5194/npg-21-745-2014 - Gustafsson
, N., Janjic, T., Schraff, C., Leuenberger, D., Weissman, M. co-authors. 2018. Survey of data assimilation methods for convective-scale numerical weather prediction at operational centres. Q. J. R. Meteorol. Soc., 1218– 1256. doi: 10.1002/qj.3179 - Frehlich
, R.and Sharman, R. 2004. Estimates of turbulence from numerical weather prediction model output with applications to turbulence diagnosis and data assimilation. Mon. Wea. Rev., 2308– 2324. doi: 10.1175/1520-0493(2004)132<;2308:EOTFNW>2.0.CO;2 - Haugen
, J.-E.and Machenhauer, B. 1993. A spectral limited-area model formulation with time-dependent boundary conditions applied to the shallow-water equations. Mon. Wea. Rev., 2618– 2630. doi: 10.1175/1520-0493(1993)121<;2618:ASLAMF>2.0.CO;2 - Häggmark
, L., Ivarsson, K.-I., Gollvik, S.and Olofsson, P.-O. 2000. Mesan, an operational mesoscale analysis system. Tellus, 2– 20. - Lindborg
, E. 1999. Can the atmospheric kinetic energy spectrum be explained by two-dimensional turbulence?, 259– 288. doi: 10.1017/S0022112099004851 - Lorenc
, A. C.and Jardak, M. 2018. A comparison of hybrid variational data assimilation methods for global NWP. Q. J. R. Meteorol. Soc., 2748– 2760. doi: 10.1002/qj.3401 - Nastrom
, G. D.and Gage, K. S. 1985. A climatology of atmospheric wave number spectra observed by commercial aircraft. J. Atmos. Sci., 950– 960. doi: 10.1175/1520-0469(1985)042<;0950:ACOAWS>2.0.CO;2 - Parrish
, D.and Derber, J. 1992. The National meteorological center’s spectral statistical-interpolation analysis system. Mon. Wea. Rev., 1747– 1763. doi: 10.1175/1520-0493(1992)120<;1747:TNMCSS>2.0.CO;2 - Sattler
, K.and Huang, X.-Y. 2002. Structure function for 2 meter temperature and relative humidity in different horizontal resolution. Tellus, 14– 33. - Seity
, Y., Brousseau, P., Malardel, S., Hello, G., Benard, P. co-authors. 2011. The AROME-France convective scale operational model. Mon. Wea. Rev., 976– 991. doi: 10.1175/2010MWR3425.1 - Skamarock
, W. C., Park, S.-H., Klemp, J. B.and Snyder, C. 2014. Atmospheric kinetic energy spectra from global high-resolution nonhydrostatic simulations. J. Atmos. Sci., 4369– 4381. doi: 10.1175/JAS-D-14-0114.1
DOI: https://doi.org/10.1080/16000870.2019.1615168 | Journal eISSN: 3035-9554
Language: English
Page range: 1615168 - 1615168
Published on: Jan 1, 2019
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2019 Jelena Bojarova, Nils Gustafsson, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.