Convective Parameterization for Mesoscale Models: The Kain-Fritsch Scheme

Kain, John S.; Fritsch, J. Michael

doi:10.1007/978-1-935704-13-3_16

Cited by 1,334 publications

(826 citation statements)

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“…The detail of model configuration is shown in Table I. Three convective schemes, namely, Kain-Fritsch (KF; [7], [8]), Betts-Miller, modified further by Janji´c (BMJ; [9], [10]), and Grell-Devenyi (GD; [11]) are employed. The ensemble results of the three schemes (ENS) are also investigated.…”

Section: Methodsmentioning

confidence: 99%

Impacts of Cumulus Convective Parameterization Schemes on Precipitation at Grey-Zone Resolutions: A Case Study over Complex Terrain in upper Northern Thailand

Pimonsree¹,

Ratnamhin²,

Vongruang³

et al. 2016

IJESD

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Section: Methodsmentioning

confidence: 99%

Impacts of Cumulus Convective Parameterization Schemes on Precipitation at Grey-Zone Resolutions: A Case Study over Complex Terrain in upper Northern Thailand

Pimonsree¹,

Ratnamhin²,

Vongruang³

et al. 2016

IJESD

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“…In this research, we chose different schemes from four physical processes, which produce 40 different combinations. The multi-scheme includes three microphysics (MP) process schemes (Lin scheme [40], WRF single moment (WSM) three-class simple ice scheme [41], WSM six-class scheme [42]), four land surface (SFC) schemes (thermal diffusion scheme (from Mesoscale Model 5), unified Noah land-surface model [43], the Rapid Update Cycle (RUC) land-surface model [44], and Pleim-Xu scheme [45]), three cumulus (CU) schemes (Kain-Fritsch [46], Betts-Miller [47], and Grell-Devenyi [48]), and two planet boundary layer (PBL) schemes (the Yonsei University [49], and the Mellor-Yamada-Janjić [50]). The Table A1 in the appendix lists the combination of physical schemes for each ensemble member.…”

Section: Ensemble Member Productionmentioning

confidence: 99%

A Long-Term Wind Speed Ensemble Forecasting System with Weather Adapted Correction

Chu

Wang

et al. 2016

Energies

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Abstract:Wind forecasting is critical in the wind power industry, yet forecasting errors often exist. In order to effectively correct the forecasting error, this study develops a weather adapted bias correction scheme on the basis of an average bias-correction method, which considers the deviation of estimated biases associated with the difference in weather type within each unit of the statistical sample. This method is tested by an ensemble forecasting system based on the Weather Research and Forecasting (WRF) model. This system provides high resolution wind speed deterministic forecasts using 40 members generated by initial perturbations and multi-physical schemes. The forecasting system outputs 28-52 h predictions with a temporal resolution of 15 min, and is evaluated against collocated anemometer towers observations at six wind fields located on the east coast of China. Results show that the information contained in weather types produces an improvement in the forecast bias correction.

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“…The core of the scheme is a Lagrangian model of a onedimensional entraining-detraining steady-state plume with downdraft to compute convective tendencies such that CAPE of the model column is reduced by 90%. A complete description of the KF CPS is found in Kain and Fritsch (1993), Bechtold et al (2001) and Kain (2004). The modifications that have been used in the present study are described in the following paragraphs.…”

Section: Modifications To the Kain-fritch Cpsmentioning

confidence: 99%

The sensitivity of warm period precipitation forecasts to various modifications of the Kain-Fritsch Convective Parameterization scheme

Mazarakis

Kotroni

Lagouvardos

et al. 2011

Nat. Hazards Earth Syst. Sci.

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Abstract. The sensitivity of quantitative precipitation forecasts to various modifications of the Kain-Fritsch (KF) convective parameterization scheme (CPS) is examined for twenty selected cases characterized by intense convective activity and widespread precipitation over Greece, during the warm period of [2005][2006][2007]. The study is conducted using the MM5 model with a two nested domains strategy, with horizontal grid increments of 24 and 8 km, respectively. Five modifications to the KF CPS, each designed to test the sensitivity of the model to the convective scheme formulation, are discussed. The modifications include: (i) the maximization of the convective scheme precipitation efficiency, (ii) the change of the convective time step, (iii) the forcing of the convective scheme to produce more/less cloud material, (iv) changes to the trigger function and (v) the alteration of the vertical profile of updraft mass flux detrainment.The simulated precipitation from the 8-km grid is verified against raingauge measurements. Although skill scores vary widely among the cases and the precipitation thresholds, model results using the modifications of the convective scheme show improvements in 6-h precipitation totals compared to simulations generated using the unmodified convective scheme. In general, forcing the model to produce less cloud material improves the precipitation forecast for the moderate and high precipitation amounts, while the same modification and the change of the convective time step to 1 min has the same result for the high precipitation thresholds. The increase of convective time step to 15 min, the maximization of precipitation efficiency and the changes to the trigger function give similar results for medium and high precipitation. On the other hand, the forecast for the light Correspondence to: N. Mazarakis (nickmaz@meteo.noa.gr) precipitation is improved by forcing the model to produce more cloud material as well as by the alteration of the vertical profile of updraft mass flux detrainment.

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Convective Parameterization for Mesoscale Models: The Kain-Fritsch Scheme

Cited by 1,334 publications

References 0 publications

Impacts of Cumulus Convective Parameterization Schemes on Precipitation at Grey-Zone Resolutions: A Case Study over Complex Terrain in upper Northern Thailand

Impacts of Cumulus Convective Parameterization Schemes on Precipitation at Grey-Zone Resolutions: A Case Study over Complex Terrain in upper Northern Thailand

A Long-Term Wind Speed Ensemble Forecasting System with Weather Adapted Correction

The sensitivity of warm period precipitation forecasts to various modifications of the Kain-Fritsch Convective Parameterization scheme

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