Evaluation of wind resource using numerically optimized data in the southwestern Korean Peninsula

Kim, Dong-Hyuk; Lee, Hwa-Woon; Lee, Soon-Hwan

doi:10.1007/s13143-010-0021-4

Cited by 9 publications

(5 citation statements)

References 26 publications

(23 reference statements)

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“…To avoid such enhanced moisture transport, Chao [2012] proposed a nonrigorous solution in a GCM by assigning the fractional rate of change of moisture, due to the SGS-heated-slope-induced vertical circulation in the lower layers, to be proportional to that of the virtual dry static energy. Indeed, high bias of surface wind speed has been reported in the WRF model over flat regions and over windward slopes [e.g., Bernardet et al, 2005;Mass and Ovens, 2010;Kim et al, 2010;Ha and Lee, 2012]. Previous studies have shown positive (negative) surface wind bias over flat (mountainous) regions.…”

Section: Introductionmentioning

confidence: 98%

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Impacts of subgrid‐scale orography parameterization on simulated surface layer wind and monsoonal precipitation in the high‐resolution WRF model

et al. 2015

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This paper reports on the first attempt to investigate whether excessive precipitation over mountainous areas, which is a common problem in model simulations, could be remedied by the implementation of a more realistic surface wind field in the high-resolution Weather Research and Forecasting (WRF) model. A series of 48 h short-range forecasts was conducted for the month of July 2006 within the triple-nested WRF configuration, for which the highest resolution of 3 km was focused on areas with complex orography over East Asian monsoonal regions. For accurate surface wind simulations, the subgrid-scale (SGS) orography parameterization scheme was employed. It was found that the simulated surface wind showed negative (positive) bias over mountainous (flat) regions when the SGS orography parameterization was excluded. After inclusion of the SGS orography parameterization, wind speed over mountainous (flat) regions increased (decreased), implying that the bias was mitigated. Moisture divergence (convergence) over the mountains (on the leeward side of the mountains) was induced, and surface latent heat flux increased along the mountain ranges following the improvement in the representation of the surface wind by the inclusion of the SGS orography parameterization. Eventually, excessive precipitation simulated over mountainous areas of East Asia, which is a feature commonly observed in numerical model studies, was alleviated because of the moisture divergence and increased surface latent heat flux.

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Section: Introductionmentioning

confidence: 98%

“…Indeed, high bias of surface wind speed has been reported in the WRF model over flat regions and over windward slopes [e.g., Bernardet et al ., ; Mass and Ovens , ; Kim et al ., ; Ha and Lee , ]. Previous studies have shown positive (negative) surface wind bias over flat (mountainous) regions.…”

Section: Introductionmentioning

confidence: 99%

Impacts of subgrid‐scale orography parameterization on simulated surface layer wind and monsoonal precipitation in the high‐resolution WRF model

et al. 2015

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“…[1][2][3][4][5] However, enhancing the accuracy of various metrological variables from wind field models requires not only correct initial metrological data but also detailed surface boundary conditions. Many preceding researches demonstrate that detailed data of surface characteristics and topography using a mesoscale metrological model have contributed much to the improvement of a local circulation field.…”

Section: Introductionmentioning

confidence: 99%

Correction of surface characteristics to diagnostic wind modeling and its impact on potentials of wind power density

Kim¹,

Lee²,

Park³

et al. 2014

Journal of Renewable and Sustainable Energy

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This research aimed to correct recently changed surface characteristics into a diagnostic wind field model with the purposes of investigating the changed mixing depth and wind profile, as well as its impact on wind resource potentials. In order to reflect the latest surface characteristics, the Environmental Geographic Information System (EGIS) 3-s land-use data produced by the Ministry of Environment was inputted. A change in the conditions of the surface affects the local wind circulation and the feature of Planetary Boundary Layer (PBL), such as mixing heights and the wind speed profile. As a result, a difference of wind speed at a hub height leads to a change in the wind energy potential. Compared to Low Resolution experiment (LRexp), High Resolution experiment (HRexp) suffers Root Mean Square Error (RMSE) decreased by 26.3% and Index Of Agreement (IOA) is increased by 7.8% at maximum, so that it contributes to the improved prediction accuracy of wind field. V C 2014 AIP Publishing LLC. [http://dx.

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“…Thus, it is well known that the accurate measurement and prediction of wind are difficult due to variability with respect to topography and time. Recently, it has been shown that physics‐based numerical weather prediction models are very useful for three‐dimensional wind analysis and are valid for forecasts despite uncertainties within models (Yim et al , ; Kim et al , ). To project future climate change, general circulation models (GCMs) are used.…”

Section: Introductionmentioning

confidence: 99%

Projected changes in wind speed over the Republic of Korea under A1B climate change scenario

Kim

2013

Intl Journal of Climatology

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In this study, an attempt was made to investigate a future wind‐speed change over the Republic of Korea using a mesoscale weather research and forecasting (WRF) model. We presented dynamically downscaled wind fields and the physical processes that derived the surface wind changes. A double‐nested WRF model within the global‐scale scenario from the fifth generation of the ECHAM general‐circulation model (ECHAM5) was integrated for the present‐day (the late 20th century, 1990–1999) and future (the mid‐21st century, 2045–2054) wind climate. The ensemble mean of the simulated results for the sensitivity of planetary boundary‐layer physics provided a relative advantage in determining synoptic and surface fields. A reasonable and realistic wind climatology, influenced by the asymmetric heating of land and sea, was identified over the East Asian monsoon region. The observed spatial and temporal distributions of temperature and wind speed were also reproduced well by the mesoscale simulations. Projected wind‐speed changes at 80 m above ground level varied from –9.53 to 29.80% depending on the location and season. [Correction added 3 March 2014 after original online publication: in the preceding sentence ‘9.53’ has been corrected to ‘–9.53’.] The strong wind speed in the cold season decreased (–5.45%), whereas the weak wind speed in the warm season increased (4.54%). A possible cause of the weakened and strengthened winds in cold and warm seasons, respectively, is shown to be the effects in the lower‐tropospheric pressure‐gradient force accompanied by pronounced warming.

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Evaluation of wind resource using numerically optimized data in the southwestern Korean Peninsula

Cited by 9 publications

References 26 publications

Impacts of subgrid‐scale orography parameterization on simulated surface layer wind and monsoonal precipitation in the high‐resolution WRF model

Impacts of subgrid‐scale orography parameterization on simulated surface layer wind and monsoonal precipitation in the high‐resolution WRF model

Correction of surface characteristics to diagnostic wind modeling and its impact on potentials of wind power density

Projected changes in wind speed over the Republic of Korea under A1B climate change scenario

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