Информация о публикации

Просмотр записей
Инд. авторы: Klimova E.G., Kilanova N.V., Dubrovskaya O.A., Zaripov R.B.
Заглавие: Investigation of statistical structure of temperature short-range forecast errors in the atmospheric boundary layer for the purpose of objective analysis
Библ. ссылка: Klimova E.G., Kilanova N.V., Dubrovskaya O.A., Zaripov R.B. Investigation of statistical structure of temperature short-range forecast errors in the atmospheric boundary layer for the purpose of objective analysis // Russian Meteorology and Hydrology. - 2010. - Vol.35. - Iss. 9. - P.596-603. - ISSN 1068-3739. - EISSN 1934-8096.
Внешние системы: DOI: 10.3103/S1068373910090037; РИНЦ: 16681005; WoS: 000284156300003;
Реферат: eng: The procedure is described of the estimation of statistical structure of short-range forecast errors of temperature field in the atmospheric boundary layer for the purpose of objective analysis. The numerical experiments on the estimation of forecast error covariances were carried out for the WRF (Weather Research and Forecast, NCEP, USA) model. The comparative experiments were implemented on the estimation of the influence of stability type in the atmospheric boundary layer on the variability of vertical and three-dimensional covariances. It is demonstrated that the variance and radius of correlation of temperature field forecast errors along the vertical as well as the variability of three-dimensional covariance functions in the atmospheric boundary layer differ considerably at different stability types. The results are cited of the numerical experiments on the estimation of the WRF model temperature field forecast error covariances in the atmospheric boundary layer for summer and winter periods. © 2010 Allerton Press, Inc.
Издано: 2010
Физ. характеристика: с.596-603
Цитирование:
1. Dynamical Meteorology. Theoretical Meteorology, Ed. by D. L. Laikhtman (Gidrometeoizdat, Leningrad, 1976) [in Russian].
2. E. G. Klimova, "Data Assimilation Algorithm Based on an Adaptive Suboptimal Kalman Filter," Meteorol. Gidrol., No. 3 (2005) [Russ. Metorol. Hydrol., No. 3 (2005)].
3. A. S. Monin and A. M. Yaglom, Statistical Hydromechanics. Part 2 (Nauka, Moscow, 1967) [in Russian].
4. Statistical Structure of Meteorological Fields, Ed. by L. S. Gandin, V. I. Zakhariev, and R. Tselnai (Budapest, 1976) [in Russian].
5. M. D. Tsyrul`nikov and E. A. Loktionova, "Statistical Estimation of Horizontal Covariance Functions of Wind Fields for Objective Analysis," Meteorol. Gidrol., No. 11 (1993) [Russ. Metorol. Hydrol., No. 11 (1993)].
6. L. Berre, "Estimation of Synoptic and Mesoscale Forecast Error Covariances in a Limited-Area Model," Mon. Wea. Rev., 128 (2000).
7. X. Deng and R. Stude, "A Mesoscale Analysis Method for Surface Potential Temperature in Mountainous and Coastal Terrain," Mon. Wea. Rev., 133 (2005).
8. J. Derber and F. Bouttier, "A Reformulation of the Background Error Covariance in the ECMWF Global Data Assimilation System," Tellus, 51A (1999).
9. M. Fisher, "The Sensitivity of Analysis Errors to the Specification of Background Error Covariances," in Proceedings of the Workshop on Flow-dependent Aspects of Data Assimilation, June 11-13, 2007.
10. M. Fisher and E. Andersson, "Development in 4D-Var and Kalman Filtering," in Technical Memorandum No. 357 (ECMWF, Reading, England, 2001).
11. M. Fisher and P. Courtier, "Estimating the Covariance Matrix of Analysis and Forecast Errors in Variational Data Assimilation," in ECMWF Research Dept., Technical Memorandum, No. 220 (1995).
12. M. Ghil and P. Malanotte-Rizzolli, "Data Assimilation in Meteorology and Oceanography," in Advances in Geophysics (Academic Press, New York, 1991), Vol. 33.
13. L. Haggmark, K. I. Ivarsson, S. Ollvik, and P.-O. Olofsson, "Mesan, an Operational Mesoscale Analysis System," Tellus, 52A (2000).
14. A. Hollingsworth and P. Lonnberg, "The Statistical Structure of Short-range Forecast Errors as Determined from Radiosonde Data. Part I: The Wind Field," Tellus, 38A (1986).
15. A. H. Jazwinski, Stochastic Processes and Filtering Theory (Academic Press, New York, 1970).
16. S.-J. Lee, D. F. Parrish, and W.-S. Wu, Near Surface Data Assimilation in the NCEP Gridpoint Statistical-Interpolation System: Use of Land Temperature Data and a Comprehensive Forward Model (NCEP, Office Note 446, October 7, 2005).
17. P. Lonnberg and A. Hollingsworth, "The Statistical Structure of Short-range Forecast Errors as Determined from Radiosonde Data. Part II: The Covariance of Height and Wind Errors," Tellus, 38A (1986).
18. G. L. Mellor and T. Yamada, "Development of Turbulence Closure Model for Geophysical Fluid Problems," Reviews of Geophysics and Space Physics, No. 4, 20 (1982).
19. X. Qin, W. Li, A. V. Tuyl, and E. H. Baker, "Estimation of Three-dimensional Error Covariances. Part I; Analysis of Height Innovation Vectors," Mon. Wea. Rev., 129 (2001).
20. F. Rabier, A. McNally, E. Andersson, et al., "The ECMWF Implementation of Three-dimensional Variational Assimilation (3D-Var). Part II: Structure Functions," Quart. J. Roy. Meteorol. Soc., 124 (1998).
21. F. Rawlins, S. P. Ballard, K. J. Bovis, et al., "The Met Office Global Four-dimensional Variational Data Assimilation Scheme," Quart. J. Roy. Meteorol. Soc., 133 (2007).
22. F. H. Ruggiero, K. D. Sashegyi, V. R. Madala, and S. Raman, "The Use of Surface Observations in Four-dimensional Data Assimilation Using a Mesoscale Model," Mon. Wea. Rev., 124 (1996).
23. W. G. Skamarock et al., A Description of the Advanced Research WRF Version 2 (NCAR Technical Note, Boulder, USA, June 2005).
24. http://www. mmm. ucar. ed/wrf.