Numerical simulation and intercomparison of boundary layer structure with different PBL schemes in WRF using experimental observations at a tropical site

Prasad, K. B. R. R. Hari; Srinivas, C. V.; Singh, A. P.; Rao, S. Vijaya Bhaskara; Baskaran, R.; Venkatraman, B.

doi:10.1016/j.atmosres.2014.03.023

Cited by 120 publications

(59 citation statements)

References 41 publications

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“…It is revealed by [8,43] that the 48 h track error of Nargis with MYJ as PBL scheme was 252 km, which was slightly higher and Orissa super cyclone was 25 km which was lower than that of this study. The 48 h track error of [44] investigated the sensitivity of different PBL schemes at Kalpakkam (a tropical site) and verified that YSU scheme simulated various PBL quantities which are in better agreement with the observations. The present study of PBL in MYJ scheme is better than YSU.…”

Section: Sensitivity To Planetary Boundary Layer Schemessupporting

confidence: 62%

Impacts of Microphysics Schemes and Topography on the Prediction of the Heavy Rainfall in Western Myanmar Associated with Tropical Cyclone ROANU (2016)

Maw

Min

2017

Advances in Meteorology

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The impacts of different microphysics and boundary schemes and terrain settings on the heavy rainfall over western Myanmar associated with the tropical cyclone (TC) ROANU (2016) are investigated using the Weather Research and Forecasting (WRF) model. The results show that the microphysics scheme of Purdue Lin (LIN) scheme produces the strongest cyclone. Six experiments with various combinations of microphysics and boundary schemes indicated that a combination of WRF Single-Moment 6-class (WSM6) scheme and Mellor-Yamada-Janjic (MYJ) best fits to the Joint Typhoon Warning Center (JTWC) data. WSM6-MYJ also performs the best for the track and intensity of rainfall and obtains the best statistics skill scores in the range of maximum rainfall intensity for 48-h. Sensitivity experiments on different terrain settings with Normal Rakhine Mountain (NRM), with Half of Rakhine Mountain (HRM), and Without Rakhine Mountain (WoRM) are designed with the use of WSM6-MYJ scheme. The track of TC ROANU moved northwestward in WoRM and HRM. Due to the presence of Rakhine Mountain, TC track moved into Myanmar and the peak rainfall occurred on the leeward side of the Mountain. In the absence of Rakhine Mountain, a shift in peak rainfall was observed in north side of the Mountain.

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Section: Sensitivity To Planetary Boundary Layer Schemessupporting

confidence: 62%

Impacts of Microphysics Schemes and Topography on the Prediction of the Heavy Rainfall in Western Myanmar Associated with Tropical Cyclone ROANU (2016)

Maw

Min

2017

Advances in Meteorology

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“…WRF has been used worldwide for both research and operational applications (Skamarock et al 2008). Its ability to simulate atmospheric processes relevant to atmospheric transport and dispersion has been tested widely (Cintineo et al 2014, Clark et al 2015, Coniglio et al 2013, Hariprasad et al 2014, Rogers et al 2013, Lauvaux et al 2013, Karion et al 2015. In addition to its advanced numerical scheme and continuously upgraded array of model physics parameterizations, WRF has a four dimensional data assimilation (FDDA) capability implemented by Penn State University (Deng et al 2009) that allows meteorological observations to be continuously assimilated, allowing WRF to produce dynamic analyses at user-desired resolution.…”

Section: Research Articlementioning

confidence: 99%

“…For PBL turbulent processes, the turbulent kinetic energy (TKE)-predicting Mellor-Yamada Nakanishi Niino (MYNN) Level 2.5 turbulent closure scheme (Nakanishi and Niino 2006) is used, along with the MYNN surface layer scheme to preserve consistency. The decision of selecting the MYNN PBL scheme is based on our experiences and previous studies where MYNN appeared to produce the most accurate PBL temperature and moisture profiles (Cintineo et al 2014, Clark et al 2015 as well as the most accurate PBL depth (Coniglio et al 2013, Hariprasad et al 2014 in simulations of the PBL over land, all of which are highly important to simulating transport and dispersion of surface emissions. For land surface processes, the Noah LSM Dudhia 2001, Tewari et al 2004) is used.…”

Section: Model Descriptionmentioning

confidence: 99%

Toward reduced transport errors in a high resolution urban CO2 inversion system

Deng

Lauvaux

Davis

et al. 2017

Elementa: Science of the Anthropocene

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We present a high-resolution atmospheric inversion system combining a Lagrangian Particle Dispersion Model (LPDM) and the Weather Research and Forecasting model (WRF), and test the impact of assimilating meteorological observation on transport accuracy. A Four Dimensional Data Assimilation (FDDA) technique continuously assimilates meteorological observations from various observing systems into the transport modeling system, and is coupled to the high resolution CO 2 emission product Hestia to simulate the atmospheric mole fractions of CO 2 . For the Indianapolis Flux Experiment (INFLUX) project, we evaluated the impact of assimilating different meteorological observation systems on the linearized adjoint solutions and the CO 2 inverse fluxes estimated using observed CO 2 mole fractions from 11 out of 12 communications towers over Indianapolis for the Sep. ). Wind speed MAE and ME are larger in daytime than in nighttime. PBL depth MAE is reduced by ~1 0%, with little bias reduction. The inverse results indicate that the spatial distribution of CO 2 inverse fluxes were affected by the model performance while the overall flux estimates changed little across WRF simulations when aggregated over the entire domain. Our results show that PBL wind observations are a potent tool for increasing the precision of urban meteorological reanalyses, but that the impact on inverse flux estimates is dependent on the specific urban environment.

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“…Domain 1 covers the western part of North America (37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52)(53) • N, Figure 1). Domain 2 covers the states of Oregon, Washington, and western Idaho.…”

Section: Model Configurationsmentioning

confidence: 99%

Evaluation of Surface Fluxes in the WRF Model: Case Study for Farmland in Rolling Terrain

et al. 2017

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Abstract:The partitioning of available energy into surface sensible and latent heat fluxes impacts the accuracy of simulated near surface temperature and humidity in numerical weather prediction models. This case study evaluates the performance of the Weather Research and Forecasting (WRF) model on the simulation of surface heat fluxes using field observations collected from a surface flux tower in Oregon, USA. Further, WRF-modeled heat flux sensitivities to North American Mesoscale (NAM) and North American Regional Reanalysis (NARR) large-scale input forcing datasets; U.S. Geological Survey (USGS) and the Moderate Resolution Imaging Spectroradiometer (MODIS) land use datasets; Pleim-Xiu (PX) and Noah land surface models (LSM); Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) planetary boundary layer (PBL) schemes using the Noah LSM; and Asymmetric Convective Model version 2 (ACM2) PBL scheme using PX LSM are investigated. The errors for simulating 2-m temperature, 2-m humidity, and 10-m wind speed were reduced on average when using NAM compared with NARR. Simulated friction velocity had a positive bias on average, with the YSU PBL scheme producing the largest overestimation in the innermost domain (0.5 km horizontal grid resolution). The simulated surface sensible heat flux had a similar temporal behavior as the observations but with a larger magnitude. The PX LSM produced lower and more reliable sensible heat fluxes compared with the Noah LSM. However, Noah latent heat fluxes were improved with a lower RMSE compared to PX, when NARR forcing data was used. Overall, these results suggest that there is not one WRF configuration that performs best for all the simulated variables (surface heat fluxes and meteorological variables) and situations (day and night).

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Numerical simulation and intercomparison of boundary layer structure with different PBL schemes in WRF using experimental observations at a tropical site

Cited by 120 publications

References 41 publications

Impacts of Microphysics Schemes and Topography on the Prediction of the Heavy Rainfall in Western Myanmar Associated with Tropical Cyclone ROANU (2016)

Impacts of Microphysics Schemes and Topography on the Prediction of the Heavy Rainfall in Western Myanmar Associated with Tropical Cyclone ROANU (2016)

Toward reduced transport errors in a high resolution urban CO2 inversion system

Evaluation of Surface Fluxes in the WRF Model: Case Study for Farmland in Rolling Terrain

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