A new convective adjustment scheme, Part II: Single column tests using GATE wave, BOMEX, ATEX and arctic air-mass data sets

Miller, Jason

doi:10.1256/smsqj.47307

Cited by 267 publications

(307 citation statements)

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“…In the dry and moist basic states and in the respective life cycles, boundary-layer processes are always included with the drag coefficient, Blackburn (1983) and was adapted from the Betts-Miller scheme (Betts and Miller, 1986) with a relaxation time-scale of 3 hours. (v) Large-scale rain (stratiform precipitation) occurs for relative humidity greater than 100%.…”

Section: Modelling Approachmentioning

confidence: 99%

The impact of moist processes on the African easterly jet–African easterly wave system

Cornforth

Hoskins

Thorncroft

2009

Quart J Royal Meteoro Soc

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ABSTRACT:The African Easterly Jet-Easterly Wave (AEJ-AEW) system was explored in an idealised model. Prescribed zonally symmetric surface temperature and moisture profiles determine the AEJ which becomes established through meridional contrasts in dry and moist convection.As in previous studies, a realistic AEJ developed with only dry convection. Including moist processes, increased its development rate, but reduced its speed and meridional extent. AEWs grew through barotropic-baroclinic conversions. Negative meridional potential vorticity (PV) gradients arose in the zonally symmetric state through the intrusion of the low-PV Saharan boundary layer. Since moist processes strengthened this significantly through diabatically generated PV in the Intertropical Convergence Zone, moist AEWs were three times stronger. Larger barotropic conversions and faster AEJ development increased the moist wave growth-rate. Jet-level and northerly low-level amplitudes grew, but in the moist case the low-level amplitudes weakened as the AEW interacted with convection, consistent with their absence from observations during the peak monsoon. Striking dependencies between the AEJ, AEW and rainfall existed. Two time-scales governed their evolution, depending on the transfer coefficients: (1) the AEJ's replenishment rate influenced by heat fluxes, and (2) the wave growth-rate, by damping, and the slower jet development rate.Moist AEWs were characterized by intermittent growth/decay, with growth preceded by increased mean rainfall and later, weakening AEJs. These dependencies established an internal 8-10-day variability, consistent with intra-seasonal observations of 9-day rainy sequences. This internal variability offers an alternative explanation to the previously proposed external forcing and a new view of the moist AEW life cycle.

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Section: Modelling Approachmentioning

confidence: 99%

The impact of moist processes on the African easterly jet–African easterly wave system

Cornforth

Hoskins

Thorncroft

2009

Quart J Royal Meteoro Soc

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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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“…The time-split integration uses a third order Runge-Kutta scheme with a smaller time step for acoustic and gravity wave modes. The WRF model physics options used in this study is Kessler (Kessler, 1969), Thompson (Thompson et al, 2004) and WRF Single Moment 3-class (WSM3) (Lin et al, 1983) for micro-physics schemes; the Kain-Fritsch (KF) scheme (Kain, 2004), Grell (Grell and Devenyi, 2002) and BMJ (Betts and Miller, 1986) for the cumulus convection parameterization scheme, and the Yonsei University (YSU) scheme for planetary boundary layer (Hong and Pan, 1996;Hong and Dudhia, 2003). The Rapid Radiative Transfer Model (RRTM; Mlawer et al, 1997) and Dudhia scheme (Dudhia, 1989) were used for long wave and short wave radiation, respectively.…”

Section: Description Of the Model And Experimentsmentioning

confidence: 99%

Evaluation of upper tropospheric humidity from NCEP analysis and WRF Model Forecast with Kalpana observation during Indian summer monsoon 2010

Kumar¹,

Shukla²,

Thapliyal³

et al. 2012

Meteorological Applications

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This paper presents an evaluation of upper tropospheric humidity (UTH) fields from National Center for Environmental Prediction (NCEP) Global Data Assimilation System (GDAS) analysis and Weather Research and Forecasting (WRF) mesoscale model forecast with satellite derived UTH. For this purpose, UTH (weighted average of relative humidity in 200-500 hPa layer) obtained from Indian geostationary satellite Kalpana is compared with the UTH computed from NCEP analysis and WRF model forecast during the summer monsoon, 2010. Kaplana-derived products are not included in the NCEP analysis: therefore, a comparison of the two independent datasets is promising. This study indicates that UTH derived from different sources (Kalpana UTH, NCEP Analysed and subsequent model forecasted UTH) matches very well over the Indian region. However, there are region-specific small departures in UTH which increases the model predicted UTH.

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A new convective adjustment scheme, Part II: Single column tests using GATE wave, BOMEX, ATEX and arctic air-mass data sets

Cited by 267 publications

References 0 publications

The impact of moist processes on the African easterly jet–African easterly wave system

The impact of moist processes on the African easterly jet–African easterly wave system

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

Evaluation of upper tropospheric humidity from NCEP analysis and WRF Model Forecast with Kalpana observation during Indian summer monsoon 2010

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