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Assessment of wind datasets on the tropical cyclones’ event (case study: Gonu tropical cyclone)
Meteorology and Atmospheric Physics ( IF 2 ) Pub Date : 2021-01-27 , DOI: 10.1007/s00703-020-00770-1
Ahmad Rezaee Mazyak , Mehdi Shafieefar

Even though the occurrence rate of tropical cyclones (TCs) is almost steady as reported in earlier studies, however, the intensity of TCs has shown a significant increase due to global warming. Gonu (2007) and Phet (2010) are examples of TCs, which affected the southern coasts of Iran. The first step in evaluating the effects of TC is the accuracy as well as the correctness of the wind field. For this purpose, the WRF and parametric models have been implemented for the wind field simulation, in the Makran coasts during the Gonu TC. QuikSCAT satellite data and coastal synoptic stations data have been used to evaluate the wind field results. The results indicated that the WRF model can successfully forecast the cyclone’s path and its outputs can be employed to forecast such weather hazards. Comparing the wind field results with satellite data, highlights the accuracy of the WRF model in the coastal areas. Modeling the wind field asymmetry due to the cyclone confinement and more realistic wind distribution, distinguishes the results of WRF model from other studied counterparts. In addition, a comparison of the wind field results with the synoptic data indicates that the WRF model results meet very good accuracy. Furthermore, the study of cyclone damage potential (CDP) index in the Gulf of Oman northern coasts shows that the WRF outcomes have a very high accuracy. This study highlights the capability of the ARW model in simulating the wind field, especially on the southern and southeastern coasts of Iran, which are affected by TCs.

中文翻译:

评估热带气旋事件的风数据集(案例研究:Gonu 热带气旋)

尽管热带气旋 (TC) 的发生率如早期研究报告的那样几乎稳定,但由于全球变暖,TC 的强度显着增加。Gonu (2007) 和 Phet (2010) 是影响伊朗南部海岸的 TC 的例子。评估TC影响的第一步是风场的准确性和正确性。为此,在 Gonu TC 期间,在 Makran 海岸的风场模拟中实施了 WRF 和参数模型。QuikSCAT 卫星数据和沿海天气站数据已用于评估风场结果。结果表明,WRF模型可以成功预测气旋路径,其输出可用于预测此类天气灾害。将风场结果与卫星数据进行比较,突出了沿海地区 WRF 模型的准确性。由于气旋限制和更真实的风分布对风场不对称进行建模,将 WRF 模型的结果与其他研究的对应模型区分开来。此外,风场结果与天气数据的比较表明,WRF 模型结果具有很好的精度。此外,对阿曼湾北部海岸气旋破坏潜力(CDP)指数的研究表明,WRF结果具有非常高的准确性。这项研究强调了 ARW 模型在模拟风场方面的能力,特别是在受 TC 影响的伊朗南部和东南沿海地区。将 WRF 模型的结果与其他研究的对应物区分开来。此外,风场结果与天气数据的比较表明,WRF 模型结果具有很好的精度。此外,对阿曼湾北部海岸气旋破坏潜力(CDP)指数的研究表明,WRF结果具有非常高的准确性。这项研究强调了 ARW 模型在模拟风场方面的能力,特别是在受 TC 影响的伊朗南部和东南沿海地区。将 WRF 模型的结果与其他研究的对应物区分开来。此外,风场结果与天气数据的比较表明,WRF 模型结果具有很好的精度。此外,对阿曼湾北部海岸气旋破坏潜力(CDP)指数的研究表明,WRF结果具有非常高的准确性。这项研究强调了 ARW 模型在模拟风场方面的能力,特别是在受 TC 影响的伊朗南部和东南沿海地区。阿曼湾北部海岸气旋破坏潜力(CDP)指数的研究表明,WRF结果具有非常高的准确性。这项研究强调了 ARW 模型在模拟风场方面的能力,特别是在受 TC 影响的伊朗南部和东南沿海地区。阿曼湾北部海岸气旋破坏潜力(CDP)指数的研究表明,WRF结果具有非常高的准确性。这项研究强调了 ARW 模型在模拟风场方面的能力,特别是在受 TC 影响的伊朗南部和东南沿海地区。
更新日期:2021-01-27
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