Impact of different parameterization schemes on simulation of mesoscale convective system over south-east India

Madhulatha, A.; Rajeevan, M.

doi:10.1007/s00703-017-0502-4

Cited by 24 publications

(14 citation statements)

References 54 publications

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“…Therefore, a large number of sensitivity studies have been conducted on the physical parameterization schemes provided by the WRF model around the world. Daniel Argu Eso [8] found that cumulus (CU) cloud and boundary layer schemes had important effects on precipitation events in Andalusia; Madhulatha and Rajeevan [9] showed that monsoon event simulation in southeast India is very sensitive to the physical scheme selection; Evans et al [10] reported that optimal physical scheme selection is also specific to specific precipitation scales at specific geographical locations.…”

Section: Introductionmentioning

confidence: 99%

Numerical Rainfall Simulation of Different WRF Parameterization Schemes with Different Spatiotemporal Rainfall Evenness Levels in the Ili Region

Zhenxia

Zhou

2019

Water

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To obtain high-precision precipitation simulation results, different types of rainfall events in the Ili Region are simulated by using the Weather Research and Forecasting (WRF) model with different physical parameterization schemes. According to the spatiotemporal distribution of rainfall evenness, six rainfall events in the Ili Region are divided into four types. Six microphysical parameterization (MP) schemes, five planetary boundary layer (PBL) schemes, and five cumulus (CU) schemes are combined into 14 parameterization members to simulate the rainfall events. It is worth noting that the simulation result sequence of the WRF model (from best to worst) is as follows: type I (events 3 and 5) > type II (events 1 and 6) > type III (event 2) > type IV (event 4). This finding would imply that the WRF model has the best performance for rainfall events with even spatiotemporal distributions, while it is hard to achieve good simulation results for rainfall events with highly uneven spatial and temporal distributions. The results suggest that no single combination of parameterization members provides the best performance for all rainfall events. According to the overall scheme rankings, d, n, and j are the optimal parameterization combination members that accurately describe the spatiotemporal characteristics of the six rainfall events. The study provides guidance for the selection of the physical parameters for the accurate simulation of different types of rainfall events in the arid region of northwestern China.

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Section: Introductionmentioning

confidence: 99%

Numerical Rainfall Simulation of Different WRF Parameterization Schemes with Different Spatiotemporal Rainfall Evenness Levels in the Ili Region

Zhenxia

Zhou

2019

Water

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“…The WRF model, a popular numerical weather prediction system, was used and applied in both atmospheric research and forecast. It has been an extensively used model recently, especially in heavy rainfall research over the Indian region (Fadnavis et al ., ; Chawla et al ., ; Karki et al ., ; Madhulatha and Rajeevan, ; Reshmi et al ., ). A recent study by Chawla et al .…”

Section: Methodsmentioning

confidence: 99%

“…The WRF model, a popular numerical weather prediction system, was used and applied in both atmospheric research and forecast. It has been an extensively used model recently, especially in heavy rainfall research over the Indian region (Fadnavis et al, 2014;Chawla et al, 2018;Karki et al, 2018;Madhulatha and Rajeevan, 2018;Reshmi et al, 2018). A recent study by Chawla et al (2018) found that the WRF-simulated rainfall exhibit less bias compared with national centers for environmental prediction final (NCEP-FNL) reanalysis data.…”

Section: Model Configuration and Experiments Designmentioning

confidence: 99%

Observed and model‐simulated thermodynamic processes associated with urban heavy rainfall events over Bangalore, India

Ajilesh

Rakesh

Sahoo

et al. 2019

Meteorological Applications

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A total of 32 rainfall events spanning the period from 2012 to 2014 over the urban Indian city of Bangalore were simulated using the Weather Research and Forecast (WRF) model. Model simulations were carried out with a four‐nested domain initialized with Global Forecast System (GFS) data and the forecast was generated on an hourly basis. The forecasted rainfall at hobli level (Bangalore has 34 hobli divisions with an area of each hobli of the order of about 10 km2) was evaluated in terms of its intensity and pattern of spatial distribution by comparing it with corresponding rain‐gauge observations. Also, the rainfall forecast skill of the model was evaluated statistically by computing root mean square error, bias and mean absolute error. Thermodynamic variables such as equivalent potential temperature, convective available potential energy (CAPE), convective inhibition (CIN), K index (KI), lifted index (LI) and total totals index (TTI) were also derived from the simulated model parameters for all the events and then verified against corresponding observations. The results showed that the WRF model could simulate the rainfall events and associated thermodynamic features qualitatively; however, there were few hoblis where the relative errors in the forecast were > 100%. The forecast errors were relatively lower for cases during the southwest monsoon season compared with other seasons. It was found that the model underestimated thermodynamic indices such as CAPE, dew point depression and the simulated LI were positive; these were indicative of the model's limitation in simulating intense convection and a possible reason for underpredicted rainfall simulations.

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“…The combination of different options of physical schemes can lead to divergent downscaling results and large uncertainties (Déqué et al , ). Consequently, multiple sensitivity and ensemble experiments have been designed to analyse the individual and combined effects of the model parameterization (Reboita et al , ; Shrivastava et al , ; Kim et al , ; Karki et al , ; Madhulatha and Rajeevan, ).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the effects of a multiphysics ensemble on the simulation of an extremely hot summer in 2003 over the CORDEX‐EA‐II region

Yang

Tang

2019

Intl Journal of Climatology

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In this paper, we evaluate a 48‐member multiphysics ensemble using the Weather Research and Forecasting (WRF) model for the JJA extreme precipitation and temperature in 2003 over the CORDEX‐EA‐II domain. The simulated precipitation and temperature are reasonable in the subregions controlled by a large‐scale circulation, yet the biases for both precipitation and temperature are evident over the subregions where the effects of mesoscale processes are important. The performance of various combinations of WRF physical schemes for simulating the JJA precipitation is dependent on the region. Meanwhile, the cumulus and microphysical schemes have substantial influences on the simulation of precipitation, and the land surface models and cumulus schemes play crucial roles in the surface temperature. Our analysis shows that the combination of Noah for the land surface process, Lin for the microphysics, G3D for the cumulus parameterization, and CAM for the radiation scheme can provide the most reliable reproduction of both precipitation and temperature extremes over China. Ensemble analysis shows that the simulated climate extremes are usually accompanied by a large ensemble spread, implying sensitivities to the model physical processes in some subregions. The simulated wind fields at low‐to‐middle atmospheric levels display responses to the options of the land surface models and cumulus schemes. The essential impact of the land–atmospheric interaction on simulating the extremes can be largely attributed to the active convective processes. WRF has difficulties in reproducing the observed temporal evolution of the rainfall process, which consists of continuous large rainfall episodes in the observation data set during the simulation period.

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Impact of different parameterization schemes on simulation of mesoscale convective system over south-east India

Cited by 24 publications

References 54 publications

Numerical Rainfall Simulation of Different WRF Parameterization Schemes with Different Spatiotemporal Rainfall Evenness Levels in the Ili Region

Numerical Rainfall Simulation of Different WRF Parameterization Schemes with Different Spatiotemporal Rainfall Evenness Levels in the Ili Region

Observed and model‐simulated thermodynamic processes associated with urban heavy rainfall events over Bangalore, India

Evaluation of the effects of a multiphysics ensemble on the simulation of an extremely hot summer in 2003 over the CORDEX‐EA‐II region

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