基于WRF的城市尺度天气再分析

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI:10.1109/eScience.2018.00049

R. V. Haren, S. Koopmans, G. Steeneveld, N. Theeuwes, R. Uijlenhoet, A. Holtslag

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引用次数: 3

摘要

在本研究中，我们利用数据同化和推动技术，在城市地区以高达100米的分辨率整合各种来源的观测数据，从而改进了天气研究与预报中尺度模式(WRF)的性能。我们的最终目标是为阿姆斯特丹创建一个15年的(水文)气象变量的城市气候再分析数据档案，命名为ERA-urban。这将使我们能够追踪热舒适和极端降水的趋势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Weather Reanalysis on an Urban Scale using WRF

In this study, we improve the Weather Research and Forecasting mesoscale model (WRF) performance by incorporating observations of a variety of sources using data assimilation and nudging techniques on a resolution up to 100 meter for urban areas. Our final goal is to create a 15 year climatological urban re-analysis data archive of (hydro)meteorological variables for Amsterdam which is named ERA-urban. This will enable us to trace trends in thermal comfort and extreme precipitation.

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来源期刊

2018 IEEE 14th International Conference on e-Science (e-Science)

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