References
- Barkmeijer, J., Buizza, R., Palmer, T. N., Pun, K. and Mahfouf, J.-F. 2001. Tropical singular vectors computed with linearized diabatic physics. Q. J. Roy. Meteor Soc. 127, 685–708.
- Blanchard, D. 0. 1998. Assessing the vertical distribution of convective available potential energy. Weather Forecast. 13, 870–877.
- Doswell, C. A. HI 1987. The distinction between large-scale and mesoscale contribution to severe convection: a case study example. Weather Forecast. 2, 3–16.
- Doswell, C. A. BI and Rasmussen, E. N. 1994. The effect of neglecting the virtual temperature correction on CAPE calculations. Weather Forecast. 9, 625-629.
- Du, J. et al. 2009. NCEP short-range ensemble forecast (SREF) system upgrade in 2009. Preprints, 19th Conf on Numerical Weather Pre-diction and 23rd Conf on Weather Analysis and Forecasting, Omaha, Nebraska, Amer Meteor Soc. Weather and Forecasting paper 4A.4.
- Errico, R. M., Raeder, K. and Ehrendorfer, M. 2004. Singular vec-tors for moisture-measuring norms. Q. J. Roy. Meteor. Soc. 130, 963–988.
- Errico, R. M., Raeder, K. D. and Fillion, L. 2003. Examination of the sensitivity of forecast precipitation rates to possible perturbations of initial conditions. Tellus 55A, 88–105.
- Fillion, L. and Belair, S. 2004. Tangent linear aspects of the Kain—Fritsch moist convective parameterization scheme. Mon. Weather Rev. 132, 2477–2494.
- Hägel, E. and Horányi, A. 2007. The ARPEGE/ALADIN limited area ensemble prediction system: the impact of global targeted singular vectors. Meteorol. Z. 16, 653–663.
- Hohenegger, C. and Schär, C. 2007. Atmospheric predictability at syn-optic versus cloud-resolving scales. Bull. Am. MeteoroL Soc. 88, 1783–1793.
- Homar, V., Stensrud, D. J., Levit, J. J. and Bright, D. R. 2006. Value of human-generated perturbations in short-range ensemble forecasts of severe weather. Weather Forecast. 21, 347–363.
- Iversen, T., Frogner, I.-L., Sattler, K., Ivatek-Sahdan, S., Barkmeijer, J. and co-authors. 2007. Glameps—the Hirlam/Aladin grand limited area model ensemble prediction system. ECMWF Workshop on En-semble Prediction, 7-9 November 2007, 95-106, ECMWF.
- Janisková, M. 2003. Physical processes in adjoint models: potential pitfalls and benefits. In Proceedings of the ECMWF Seminar on Recent Developments in Data Assimilation for Atmosphere and Ocean, 179-192, Reading, UK, ECMWF.
- Janisková, M., Thepaut, J. N. and Geleyn, J. F. 1999. Simplified and regular physical parameterizations for incremental four-dimensional variational assimilation. Mon. Weather Rev. 127, 26–45.
- Johns, R. H. and Doswell, C. A. DI 1992. Severe local storms forecasting. Weather Forecast. 7,588–612.
- Leutbecher, M. and Palmer, T. N. 2008. Ensemble forecasting. J. Com-put. Phys. 227, 3515–3539.
- Mahfouf, J.-F. and Bilodeau, B. 2007. Adjoint sensitivity of surface precipitation to initial conditions. Mon. Weather Rev. 135,2879–2896.
- Palmer, T. N., Gelaro, R., Barkmeijer, J. and Buizza, R. 1998. Sin-gular vectors, metrics, and adaptive observations. J. Atmos. Sci. 55, 633–653.
- Peppler, R. A. 1988. A review of static stability indices and related thermodynamic parameters. Illinois State Water Survey Misc. Publ 104.
- Schultz, D. M. and Schumacher, P. N. 1999. The use and misuse of con-ditional symmetric instability. Mon. Weather Rev. 127, 2709–2732.
- Stensrud, D. J., Bao, J. W. and Warner, T. T. 2000. Using initial condition and model physics perturbations in short-range ensemble simulations of mesoscale convective systems. Mon. Weather Rev. 128,2077–2107.
- Unden, P., et al. 2002. HIRLAM-5 scientific documentation. SMHI Norrkoping, Sweden.
- Vukiéevié, T. and Errico, R. M. 1993. Linearization and adjoint of pa-rameterized moist diabatic processes. Tellus 45A, 493–510.
- Xu, M., Stensrud, D. J., Bao, J. W. and Warner, T.T. 2001. Applications of the adjoint technique to short-range ensemble forecasting of mesoscale convective systems. Mon. Weather Rev. 129, 1395–1418.
- Yang, X. 2005. Analysis blending using spatial filter in grid-point model coupling. Hirlam Newslett. 48, 49–55.