Release of Potential Instability: Part I. A Sequential Plume Model within a Hydrostatic Primitive Equation Model

Kreitzberg, Carl W.; Perkey, Donald J.

doi:10.1175/1520-0469(1976)033<0456:ropipi>2.0.co;2

Cited by 104 publications

(27 citation statements)

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“…The frequently employed assumption that the latent heat release equals the moisture convergence in the lower layers is now very doubtful, so a more explicit representation of the convective/mesoscale interaction is needed. Kreitzberg andPerkey (1976, 1977) developed a fairly detailed model with which this interaction is studied, Their results lend some support to the ideas used in this study.…”

Section: Final Remarksmentioning

confidence: 99%

A case study of a subsynoptic disturbance in a polar outbreak

Oerlemans

1980

Quart J Royal Meteoro Soc

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SUMMARYA subsynoptic disturbance, occurring in an outbreak of polar air over northwestern Europe, is studied by using routine observational data. The disturbance showed a characteristic length scale of about 150 km, a time scale of 4 hours, caused a surface pressure drop of only 1 mb, but brought up to 20 mm of precipitation in the coastal region of the Netherlands.The observational analysis suggests that the disturbance was a warm-core system driven by latent heat release and triggered by forced lifting along the coastline, which activated a weak trough filled with potentially unstable air.,

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Section: Final Remarksmentioning

confidence: 99%

A case study of a subsynoptic disturbance in a polar outbreak

Oerlemans

1980

Quart J Royal Meteoro Soc

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Section: Suggestions For Future Researchmentioning

confidence: 99%

“…All of these enhancements for mesoscale models in general are being developed by Kreitzberg et al (1974Kreitzberg et al ( , 1976. The present numerical model was initially conceived as a portion of this overall mesoscale numerical modeling capability for a wide variety of mesoscale circulations.…”

Section: Suggestions For Future Researchmentioning

confidence: 99%

“…A nested mesh used solely for the vertical terms has been developed and tested in two-dimensions (x, z) by Pinkerton but has not yet been implemented in three-dimensions (Chap. 6 in Kreitzberg, et al, 1974).…”

Section: Lower 30undari Conditionsmentioning

confidence: 99%

“…A boundary layer model developed by Long and Schaffer (1975) utilizes cloud cover information in the calculation of a surface energy balance. Moisture information could also be utilized for input into cumulus parameterization schemes as has been done by Kreitzberg et_ al (1974).A surface energy balance appears to be a desirable feature to include in the model. It would be more realistic than the upward sensible heat flux values currently specified In the model.…”

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confidence: 99%

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Effects of mesoscale weather disturbances on contamination concentrations. Fourth technical progress report, August 1, 1976--October 31, 1977

Kreitzberg¹

1977

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The objective of this research is the development and verification of a regional scale numerical weather prediction model for use in forecasting air pollution concentrations. The scope includes verification of meteorological forecasts of flow fields, boundary layer structure and precipitation using three hourly rawinsonde data in the central and eastern United States.A prototype regional numerical weather forecast system has been developed. This system includes codes to read in the first guess data and the observational data needed to initialize the prediction model. Other codes use these data to perform an isentroplc analysis of the wind, temperature and pressure fields and analysis of the humidity field using optimal interpolation. Subsequent codes transform these analyses to the prediction grid and adjust the wind field to remove the vertically integrated mass convergence. The output from that code is the input to the fine mesh prediction model that uses a 140 km grid size and makes a 24 h forecast. Fine mesh model output is used to initialize the -NOTICE 1 This report was prepared as an account of work sponsored by the United Slates Covemment Neither the United States nor the United States Department of Energy, nor any of their employees, nor any of their contractors, subcontractors, or their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness or usefulness of any information, apparatus, product or process disclosed, or represents that its use would not infringe privately owned rights DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency Thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. DISCLAIMERPortions of this document may be illegible in electronic image products. Images are produced from the best available original document.mesoscale model and provide time dependent lateral boundary tendencies to the mesoscale model. The mesoscale model is on a 35 km grid and normally makes a 12 h forecast during some portion of the 24 h fine mesh forecast period. Additional codes generate a condensed history tape for future diagnostic studies of the forecast, processor codes that use the condensed history to generate a variety of forms of graphical output, and verific...

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Seasonal evaluation of rainfall estimation by four cumulus parameterization schemes and their sensitivity analysis

Ishak

Bray

Remesan

et al. 2011

Hydrological Processes

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Abstract:Sustainable water resources management require scientifically sound information on precipitation, as it plays a key role in hydrological responses in a catchment. In recent years, mesoscale weather models in conjunction with hydrological models have gained great attention as they can provide high-resolution downscaled weather variables. Many cumulus parameterization schemes (CPSs) have been developed and incorporated into three-dimensional Pennsylvania State University/National Center for Atmospheric Research (PSU/NCAR) mesoscale model 5 (MM5). This study has performed a comprehensive evaluation of four CPSs (the Anthes-Kuo, Grell, Betts-Miller and Kain-Fritsch93 schemes) to identify how their inclusion influences the mesoscale model's precipitation estimation capabilities. The study has also compared these four CPSs in terms of variability in rainfall estimation at various horizontal and vertical levels. For this purpose, the MM5 was nested down to resolution of 81 km for Domain 1 (domain span 21 ð 81 km) and 3 km for Domain 4 (domain span 16 ð 3 km), respectively, with vertical resolutions at 23, 40 and 53 vertical levels. The study was carried out at the Brue catchment in Southwest England using both the ERA-40 reanalysis data and the land-based observation data. The performances of four CPs were evaluated in terms of their ability to simulate the amount of cumulative rainfall in 4 months in 1995 representing the four seasonal months, namely, January (winter), March (spring), July (summer) and October (autumn). It is observed that the Anthes-Kuo scheme has produced inferior precipitation values during spring and autumn seasons while simulations during winter and summer were consistently good. The Betts-Miller scheme has produced some reasonable results, particularly at the small-scale domain (3 km grid size) during winter and summer. The KF2 scheme was the best scheme for the larger-scale (81 km grid size) domain during winter season at both 23 and 53 vertical levels. This scheme tended to underestimate rainfall for other seasons including the small-scale domain (3 km grid size) in the mesoscale. The Grell scheme was the best scheme in simulating rainfall rates, and was found to be superior to other three schemes with consistently better results in all four seasons and in different domain scales.

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Release of Potential Instability: Part I. A Sequential Plume Model within a Hydrostatic Primitive Equation Model

Cited by 104 publications

References 0 publications

A case study of a subsynoptic disturbance in a polar outbreak

A case study of a subsynoptic disturbance in a polar outbreak

Effects of mesoscale weather disturbances on contamination concentrations. Fourth technical progress report, August 1, 1976--October 31, 1977

Seasonal evaluation of rainfall estimation by four cumulus parameterization schemes and their sensitivity analysis

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