Nakajima et al 2022a - Revision history

Scipediacontent at 07:37, 20 July 2022

2022-07-20T07:37:56Z

Scipediacontent at 08:14, 7 July 2022

2022-07-07T08:14:08Z

Scipediacontent: Scipediacontent moved page Draft Content 986104169 to Nakajima et al 2022a

2022-07-06T15:37:06Z

Scipediacontent moved page Draft Content 986104169 to Nakajima et al 2022a

Scipediacontent: Created page with " == Abstract == In this study, we investigated the influence of ground surface boundary conditions of the meteorological model on the accuracy in predicting the mean wind spe..."

2022-07-06T15:37:01Z

Created page with " == Abstract == In this study, we investigated the influence of ground surface boundary conditions of the meteorological model on the accuracy in predicting the mean wind spe..."

New page

== Abstract ==

In this study, we investigated the influence of ground surface boundary conditions of the meteorological model on the accuracy in predicting the mean wind speed and wind speed fluctuation in the urban area. Two types of ground surface boundary conditions (Cases 1 and 2) were created. In Case 1, the roughness length for the urban area was set to 0.5 m uniformly, whereas in Case 2, the spatial distribution of roughness length for the urban area was set based on the urban geometry. We performed the wind flow simulation in the central part of Tokyo during Typhoon Lan (2017) by using WRF-LES with the created ground surface boundary conditions. By setting the roughness length based on the urban geometry, the accuracy in predicting the mean wind speed was improved significantly. However, in both cases, WRF-LES

<pdf>Media:Draft_Content_986104169-1126_paper-3328-document.pdf</pdf>

== Document ==
<pdf>Media:Draft_Content_986104169-1126_paper-9638-document.pdf</pdf>

← Older revision		Revision as of 08:14, 7 July 2022
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	== Abstract ==		== Abstract ==

−	In this study, we investigated the influence of ground surface boundary conditions of the meteorological model on the accuracy in predicting the mean wind speed and wind speed fluctuation in the urban area. Two types of ground surface boundary conditions (Cases 1 and 2) were created. In Case 1, the roughness length for the urban area was set to 0.5 m uniformly, whereas in Case 2, the spatial distribution of roughness length for the urban area was set based on the urban geometry. We performed the wind flow simulation in the central part of Tokyo during Typhoon Lan (2017) by using WRF-LES with the created ground surface boundary conditions. By setting the roughness length based on the urban geometry, the accuracy in predicting the mean wind speed was improved significantly. However, in both cases, WRF-LES	+	In this study, we investigated the influence of ground surface boundary conditions of the meteorological model on the accuracy in predicting the mean wind speed and wind speed fluctuation in the urban area. Two types of ground surface boundary conditions (Cases 1 and 2) were created. In Case 1, the roughness length for the urban area was set to 0.5 m uniformly, whereas in Case 2, the spatial distribution of roughness length for the urban area was set based on the urban geometry. We performed the wind flow simulation in the central part of Tokyo during Typhoon Lan (2017) by using WRF-LES with the created ground surface boundary conditions. By setting the roughness length based on the urban geometry, the accuracy in predicting the mean wind speed was improved significantly. However, in both cases, WRF-LES underestimated the turbulence intensity, especially near the ground surface.

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 <pdf>Media:Draft_Content_986104169-1126_paper-3328-document.pdf</pdf>
-== Document ==
+== Full Paper ==
 <pdf>Media:Draft_Content_986104169-1126_paper-9638-document.pdf</pdf>

← Older revision	Revision as of 15:37, 6 July 2022
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