Comparison of seven wind gust parameterizations  over the European part of Russia

Kurbatova, M. M.; Rubinstein, K. G.; Gubenko, I. M.; Kurbatov, G. A.

doi:10.5194/asr-15-251-2018

Cited by 13 publications

(13 citation statements)

References 13 publications

(9 reference statements)

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“…However, the gusty wind was neglected and simplified as the hourly wind in most dust-emission schemes [11]. Studies about gustywind parameterization [21][22][23] and the probability density function of gusty wind [24] made it possible to consider the gusty wind in dust-emission schemes.…”

Section: Introductionmentioning

confidence: 99%

Simulation of a Severe Sand and Dust Storm Event in March 2021 in Northern China: Dust Emission Schemes Comparison and the Role of Gusty Wind

Wang

Zhang

et al. 2022

Atmosphere

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Northern China experienced a severe sand and dust storm (SDS) on 14/15 March 2021. It was difficult to simulate this severe SDS event accurately. This study compared the performances of three dust-emission schemes on simulating PM10 concentration during this SDS event by implementing three vertical dust flux parameterizations in the Comprehensive Air-Quality Model with Extensions (CAMx) model. Additionally, a statistical gusty-wind model was implemented in the dust-emission scheme, and it was used to quantify the gusty-wind contribution to dust emissions and peak PM10 concentration. As a result, the LS scheme (Lu and Shao 1999) produced the minimum errors for peak PM10 concentrations, the MB scheme (Marticorena and Bergametti 1995) underestimated the PM10 concentrations by 70–90%, and the KOK scheme (Kok et al. 2014) overestimated PM10 concentrations by 10–50% in most areas. The gusty-wind model could reasonably reproduce the probability density function of 2-min wind speeds. There were 5–40% more dust-emission flux and 5–40% more peak PM10 concentrations generated by the gusty wind than the hourly wind in the dust-source regions. The increase of peak PM10 concentration caused by gusty wind in the non-dust-source regions was higher than in the dust-source regions, with 10–50%. Implementing the gusty-wind model could help improve the LS scheme’s performance in simulating PM10 concentrations of this severe SDS event. More work is still needed to investigate the reliability of the gusty-wind model and LS scheme on various SDS events.

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Section: Introductionmentioning

confidence: 99%

Simulation of a Severe Sand and Dust Storm Event in March 2021 in Northern China: Dust Emission Schemes Comparison and the Role of Gusty Wind

Wang

Zhang

et al. 2022

Atmosphere

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“…Under the same boundary conditions, model differences also arise from the different techniques used to discretize the equations and to represent other subgrid effects, such as the planetary boundary layer (PBL) parametrization (Déqué et al, 2007). To isolate the impact of the gust parametrization, future studies should run the same model (where model physics is kept unchanged) with different gust parameterizations, following Kurbatova et al (2018). This could provide further insights into how DPWG simulations could be improved.…”

Section: Discussionmentioning

confidence: 99%

“…To isolate the impact of the gust parametrization, future studies should run the same model (where model physics is kept unchanged) with different gust parameterizations, following Kurbatova et al. (2018). This could provide further insights into how DPWG simulations could be improved.…”

Section: Discussionmentioning

confidence: 99%

Climatology of Near‐Surface Daily Peak Wind Gusts Across Scandinavia: Observations and Model Simulations

et al. 2021

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An observed daily peak wind gusts (DPWG) dataset over Scandinavia, consisting of time series from 127 meteorological stations across Finland, Norway and Sweden, has been created. This dataset provides high‐quality and homogenized near‐surface DPWG series for Scandinavia, spanning the longest available time period (1996–2016). The aim of this study is to evaluate the ability of two regional climate models (RCMs) in simulating DPWG winds. According to the observed DPWG climatology, meteorological stations are classified into three regions for which wind conditions are influenced by similar physical processes: coast, inland and mountain. Smaller‐scale DPWG features of the three regions are only captured when coarser general circulation models or reanalyses are downscaled by a RCM. Dynamic downscaling is thus needed to achieve more realistic simulations of DPWG when compared to their driving models. The performances of the RCMs are found to be more dependent on model dynamics and physics (such as gust parametrization) than on the boundary conditions provided by the driving models. We also found that the RCMs cannot accurately simulate observed DPWG in inland and mountainous areas, suggesting the need for higher horizontal resolution and/or better representation of relevant boundary‐layer processes.

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“…To reduce epistemic uncertainty in studying future change of wind gusts, a wind gust parameterization scheme is needed in order to simulate/project the historical/future wind gusts. In recent years, many parameterization schemes of the wind gust have been developed (e.g., Brasseur, 2001; Gutierrez & Fovell, 2018; Kurbatova et al ., 2018; Sheridan, 2018; Suomi, 2017). These schemes enable the simulation of the wind gust by numerical models, thus it has become feasible to study the effect of climate change on the wind gust through numerical modelling, as long as the historical and future climate state that serve as input for the gust parameterization scheme are available.…”

Section: Introductionmentioning

confidence: 99%

Projection of gust wind over China under RCP8.5 scenario within CORDEX‐EA‐II project

Liu

Zhu

et al. 2023

Intl Journal of Climatology

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A wind gust parameterization scheme combined with the Weather Research and Forecasting (WRF) model used as the regional climate model (RCM) is employed to simulate and project the gust wind speed at 10‐m height above ground level for the whole China in the historical and future period 1981–2005 and 2036–2060. The gust wind speed is compared between the historical and future period to investigate its long‐term change under the background of warming climate within the CORDEX‐EA‐II project under the RCP8.5 scenario. First, the gust wind speed simulated by the gust parameterization inputted with the RCM simulations driven by the ERA‐Interim reanalysis data is compared with the ERA5 reanalysis data and their discrepancy is discussed. Then the historical/future gust wind speed is simulated/projected with the RCM simulations driven by four global climate models' results. The comparisons between the historical simulations and future projections show the gust wind speeds overall change slightly with little response to the future warming climate as the whole China is concerned, and the maximal increment and decrement of averaged annual maximal gust wind speed are, respectively, 2.25 and −2.57 m·s−1. The increases greater than 1 m·s−1 are mostly located in the eastern and southeastern coast and northwestern inland while the decreases less than −1 m·s−1 are mostly located in part of the Tibet Plateau and northwestern inland.

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Comparison of seven wind gust parameterizations over the European part of Russia

Cited by 13 publications

References 13 publications

Simulation of a Severe Sand and Dust Storm Event in March 2021 in Northern China: Dust Emission Schemes Comparison and the Role of Gusty Wind

Simulation of a Severe Sand and Dust Storm Event in March 2021 in Northern China: Dust Emission Schemes Comparison and the Role of Gusty Wind

Climatology of Near‐Surface Daily Peak Wind Gusts Across Scandinavia: Observations and Model Simulations

Projection of gust wind over China under RCP8.5 scenario within CORDEX‐EA‐II project

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