A 30-yr high-resolution weather research and forecasting model downscaling data over California and Nevada

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-04-21 DOI:10.1016/j.dib.2025.111562

Charles Jones , Donald D. Lucas , Allison Bagley , Callum Thompson

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引用次数: 0

Abstract

This dataset presents a 30-year high resolution meteorological dataset obtained using the WRF model (Advanced version Research WRF version 4.4). We used WRF and European Centre for Medium-Range Weather Forecasts Reanalysis v5 as initial and boundary conditions to generate gridded meteorological variables. A large number of surface weather stations was used for model validation. A multi-physics analysis was first developed to identify a good physics suite extended from 6 November 00 UTC to 10 November 23 UTC, 2018, which included the Camp Fire in northern California. Based on the best physics suite, the downscaling dataset extends from 1 December to 28 February, 1990–2021 and the horizontal domain has 1.5 km grid spacing covering the entire states of California and Nevada in the United States. Comparisons between hourly surface observations and WRF simulations of air temperature, relative humidity and wind speeds show mean absolute errors on the order of (1.6-2.0 C), (10 %) and 1.2–1.5 m s^-1, respectively.

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加利福尼亚和内华达30年高分辨率天气研究和预报模式的缩尺数据

本数据集是使用WRF模式（Advanced version Research WRF version 4.4）获得的30年高分辨率气象数据集。我们使用WRF和欧洲中期天气预报再分析中心v5作为初始和边界条件来生成网格化气象变量。大量地面气象站被用于模型验证。首先开发了一项多物理场分析，以确定从2018年11月6日UTC至11月23日UTC的良好物理套件，其中包括加州北部的Camp Fire。基于最好的物理套件，降尺度数据集从1990-2021年12月1日扩展到2月28日，水平域的网格间距为1.5 km，覆盖了美国加利福尼亚州和内华达州的整个州。每小时地面观测值与WRF模拟的气温、相对湿度和风速的比较显示，平均绝对误差分别为1.6-2.0℃、10%和1.2-1.5 m s-1。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

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