Atmospheric predictability at synoptic versus cloud-resolving scales

Bulletin of the American Meteorological Society

Volumn 88, Issue 11, 2007, Pages 1783-1793

  Hohenegger, C ^a   Schar C ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CLOUDS; NUMERICAL METHODS;

CLOUD-RESOLVING FORECAST; NUMERICAL WEATHER PREDICTION; TANGENT-LINEAR APPROXIMATION;

WEATHER FORECASTING;

EID: 37349077632     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: 10.1175/BAMS-88-11-1783     Document Type: Article

References (17)

1. Ancell, B. C., and C. F. Mass, 2006: Structure, growth rates, and tangent linear accuracy of adjoint sensitivities with respect to horizontal and vertical resolution. Mon. Wea. Rev., 134, 2971-2988.
2. Bacchi, B., and R. Ranzi, 2003: Hydrological and meteorological aspects of floods in the Alps: An overview. Hydrol. Earth Syst. Sci., 7, 784-798.
3. Benoit, R., and Coauthors, 2002: The real-time ultrafinescale forecast support during the Special Observing Period of the MAP. Bull. Amer. Meteor. Soc., 83, 85-109.
4. Benoit, R., N. Kouwen, W. Yu, S. Chamberland, and P. Pellerin, 2003: Hydrometeorological aspects of the Real-Time Ultrafinescale Forecast Support during the Special Observing Period of the MAP. Hydrol. Earth Syst. Sci., 7, 877-889,
5. Bishop, C. H., and Z. Toth, 1999: Ensemble transformation and adaptive observations. J. Atmos. Sci., 56, 1748-1765.
6. Bougeault, P., and Coauthors, 2001: The MAP special observing period. Bull. Amer. Meteor. Soc., 82, 433-462.
7. Buizza, R., and T. N. Palmer, 1995: The singular-vector structure of the atmospheric global circulation. J. Atmos. Sci., 52, 1434-1456.
8. Buizza, R., R. Gelaro, F. Molteni, and T. N. Palmer, 1997: The impact of increased resolution on predictability studies with singular vectors. Quart. J. Roy. Meteor. Soc., 123, 1007-1033.
9. Buizza, R., M. Miller, and T. N. Palmer, 1999: Stochastic representation of model uncertainties in the ECMWF ensemble prediction system. Quart. J. Roy. Meteor. Soc., 125, 2887-2908.
10. Buizza, R., P. L. Houtekamer, Z. Toth, G. Pellerin, M. Z. Wei, and Y. J. Zhu, 2005: A comparison of the ECMWF, MSC, and NCEP global ensemble prediction systems. Mon. Wea. Rev., 133, 1076-1097.
11. Du, J., S. L. Mullen, and F. Sanders, 1997: Short-range ensemble forecasting of quantitative precipitation. Mon. Wea. Rev., 125, 2427-2459.
12. Eckel, F. A., and C. F. Mass, 2005: Aspects of effective mesoscale, short-range ensemble forecasting. Wea. Forecasting, 20, 328-350.
13. Ehrendorfer, M., 1997: Predicting the uncertainty of numerical weather forecasts: A review. Meteor. Z., 6, 147-183.
14. Errico, R., and K. D. Raeder, 1999: An examination of the accuracy of the linearization of a mesoscale model with moist physics. Quart. J. Roy. Meteor. Soc., 125, 169-195.
15. Fritsch, J. M., and R. E. Carbone, 2004: Improving quantitative precipitation forecasts in the warm season - A USRWP research and development strategy. Bull. Amer. Meteor. Soc., 85, 955-964.
16. Fuhrer, O., and C. Schär, 2005: Embedded cellular convection in moist flow past topography. J. Atmos. Sci., 62, 2810-2828.
17. Gilmour, I., L. A. Smith, and R. Buizza, 2001: Linear regime duration: Is 24 hours a long time in synoptic weather forecasting? J. Atmos. Sci., 58, 3525-3539.