The next generation of NWP: explicit forecasts of convection using the weather research and forecasting (WRF) model

Done, James M.; Davis, Christopher A.; Weisman, Morris L.

doi:10.1002/asl.72

Cited by 406 publications

(337 citation statements)

References 13 publications

Supporting

Mentioning

323

Contrasting

Unclassified

Order By: Relevance

“…There are currently many simulations (whether labelled as CRM or otherwise) which are being performed with convection represented explicitly but at rather coarse resolution (∼1 to 5 km) (e.g. Petch et al, 2002;Done et al, 2004;Khairoutdinov et al, 2005). In such simulations a deep convective cloud may occupy only a small number of model gridpoints.…”

Section: Correspondence Tomentioning

confidence: 99%

Statistical properties of cloud lifecycles in cloud-resolving models

Plant

2009

Atmos. Chem. Phys.

View full text Add to dashboard Cite

Abstract.A new technique is described for the analysis of cloud-resolving model simulations, which allows one to investigate the statistics of the lifecycles of cumulus clouds. Clouds are tracked from timestep to timestep within the model run. This allows for a very simple method of tracking, but one which is both comprehensive and robust. An approach for handling cloud splits and mergers is described which allows clouds with simple and complicated time histories to be compared within a single framework. This is found to be important for the analysis of an idealized simulation of radiative-convective equilibrium, in which the moist, buoyant updrafts (i.e., the convective cores) were tracked. Around half of all such cores were subject to splits and mergers during their lifecycles. For cores without any such events, the average lifetime is 30 min, but events can lengthen the typical lifetime considerably.

show abstract

Section: Correspondence Tomentioning

confidence: 99%

Statistical properties of cloud lifecycles in cloud-resolving models

Plant

2009

Atmos. Chem. Phys.

View full text Add to dashboard Cite

show abstract

“…However, their long-term simulation is restricted due to high computational costs. They are consequently mainly applied for numerical weather prediction (Done et al, 2004;Baldauf et al, 2011;Tang et al, 2013). The first simulations for decadal time periods using convection-permitting models point to a stronger increase in extremes compared to coarser-resolution integration, but the number of climate change impact studies with these models is limited so far (Hohenegger et al, 2008;Kendon et al, 2012Kendon et al, , 2014Prein et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Local impact analysis of climate change on precipitation extremes: are high-resolution climate models needed for realistic simulations?

Tabari

Troch

Giot

et al. 2016

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. This study explores whether climate models with higher spatial resolutions provide higher accuracy for precipitation simulations and/or different climate change signals. The outputs from two convection-permitting climate models (ALARO and CCLM) with a spatial resolution of 3-4 km are compared with those from the coarse-scale driving models or reanalysis data for simulating/projecting daily and sub-daily precipitation quantiles. Validation of historical design precipitation statistics derived from intensityduration-frequency (IDF) curves shows a better match of the convection-permitting model results with the observationsbased IDF statistics compared to the driving GCMs and reanalysis data. This is the case for simulation of local subdaily precipitation extremes during the summer season, while the convection-permitting models do not appear to bring added value to simulation of daily precipitation extremes. Results moreover indicate that one has to be careful in assuming spatial-scale independency of climate change signals for the delta change downscaling method, as highresolution models may show larger changes in extreme precipitation. These larger changes appear to be dependent on the timescale, since such intensification is not observed for daily timescales for both the ALARO and CCLM models.

show abstract

“…With the growing computing power, it is anticipated that the horizontal grid space in operational NWP models, perhaps even global models will be a few kilometers within a decade (Liu and Moncrieff, 2007). The high-resolution 3-6 km grid spacing simulations of precipitation using convection allowing configuration showed good promise (Done et al, 2004;Liu et al, 2006;Kain et al, 2006Kain et al, , 2008Moncrieff and Liu, 2006;Trier et al, 2006;Lean et al, 2008). There are several reasons for better performance by the high-resolution models.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of WRF cloud microphysics to simulations of a severe thunderstorm event over Southeast India

et al. 2010

View full text Add to dashboard Cite

Abstract. In the present study, we have used the Weather Research and Forecasting (WRF) model to simulate the features associated with a severe thunderstorm observed over Gadanki (13.5 • N, 79.2 • E), over southeast India, on 21 May 2008 and examined its sensitivity to four different microphysical (MP) schemes (Thompson, Lin, WSM6 and Morrison). We have used the WRF model with three nested domains with the innermost domain of 2 km grid spacing with explicit convection. The model was integrated for 36 h with the GFS initial conditions of 00:00 UTC, 21 May 2008. For validating simulated features of the thunderstorm, we have considered the vertical wind measurements made by the Indian MST radar installed at Gadanki, reflectivity profiles by the Doppler Weather Radar at Chennai, and automatic weather station data at Gadanki.There are major differences in the simulations of the thunderstorm among the MP schemes, in spite of using the same initial and boundary conditions and model configuration. First of all, all the four schemes simulated severe convection over Gadanki almost an hour before the observed storm. The DWR data suggested passage of two convective cores over Gadanki on 21 May, which was simulated by the model in all the four MP schemes. Comparatively, the Thompson scheme simulated the observed features of the updraft/downdraft cores reasonably well. However, all the four schemes underestimated strength and vertical extend of the updraft cores. The MP schemes also showed problems in simulating the downdrafts associated with the storm. While the Thompson scheme simulated surface rainfall distribution closer to observations, the other three schemes overestimated observed rainfall. However, all the four MP schemes simulated the surface wind variations associated with the thunderstorm reasonably well. The model simulated reflectivityCorrespondence to: M. Rajeevan (rajeevan@narl.gov.in) profiles were consistent with the observed reflectivity profile, showing two convective cores. These features are consistent with the simulated condensate profiles, which peaked around 5-6 km. As the results are dependent on initial conditions, in simulations with different initial conditions, different schemes may become closer to observations. The present study suggests not only large sensitivity but also variability of the microphysical schemes in the simulations of the thunderstorm. The study also emphasizes the need for a comprehensive observational campaign using multi-observational platforms to improve the parameterization of the cloud microphysics and land surface processes over the Indian region.

show abstract

The next generation of NWP: explicit forecasts of convection using the weather research and forecasting (WRF) model

Cited by 406 publications

References 13 publications

Statistical properties of cloud lifecycles in cloud-resolving models

Statistical properties of cloud lifecycles in cloud-resolving models

Local impact analysis of climate change on precipitation extremes: are high-resolution climate models needed for realistic simulations?

Sensitivity of WRF cloud microphysics to simulations of a severe thunderstorm event over Southeast India

Contact Info

Product

Resources

About