基于ITPCAS再分析资料中国近地面风速时空变化特征

摘要/Abstract

摘要： 准确分析中国近地面风速时空变化规律对区域气候变化、蒸散发的估算、雾霾预报等研究具有重要意义。本文利用1979—2015年ITPCAS再分析资料的近地面风速(10 m)与中国110个气象站点的风速资料，分析该数据集在中国区域的适用性，并对2011－2012年风速数据进行修正，分析该区域近地面风速的时空变化特征。结果表明：①ITPCAS再分析数据集风速资料基本满足应用要求，但部分数据需修正。修正后的风速数据模拟精度得到较大提高，具有较好地应用前景，特别是在西北高寒、干旱地区；②1979—2015年中国62.12%的区域风速为下降趋势，全国平均风速每10 a变化速率为-0.073 m·s^-1，其中东南诸河流域每10 a变化速率最大（-0.202 m·s^-1）；③除珠江流域外，其他各流域风速均呈下降趋势。中国各月平均风速呈单峰型，最大值出现在4月，最小值出现在12月；④年平均风速变化主要表现在3—6月份下降速率最大，风速变化趋势在各个流域、各月份将保持趋势不变。

关键词: 近地面风速, ITPCAS再分析资料, 时空变化特征, 适用性分析, 中国

Abstract: Accurate analysis of spatiotemporal variation of near surface wind speed is critical for climate change, evaporation estimation and fog forecast, etc. Using the data of daily near surface wind speed (10 m in height) products provided by ITPCAS reanalyzed dataset from 1979 to 2015 and the daily wind speed data from 110 meteorological stations over China, the applicability of this dataset was analyzed. The wind speed data during the period of 2011-2012 were modified. The spatiotemporal variation of modified wind speed data was analyzed. The results showed that: ① The ITPCAS reanalyzed dataset could basically meet the application requirements, but partial data needed to be modified. The accuracy of the modified wind speed data was greatly improved, which performed satisfactorily, particularly in cold and arid regions of northwest China. There was a good application prospect of the modified wind speed data; ② Wind speed decreased visibly in 62.12% regions of China during 1979-2015, and the decrease rate of the annual mean wind speed was -0.073 m·s^-1 every 10 years over China, in which the highest decrease rate (-0.202 m·s^-1) occurred in the drainage basins in the southeastern; ③ Wind speed in other drainage basins was in a decrease trend except that in the Zhujiang River Basin. The curve of monthly average wind speed over China was unimodal, and the maximum and minimum values appeared in April and December respectively; ④ Decrease of wind speed over China was the most significant from March to June. The change trend of monthly wind speed in the future would maintain in the drainage basins.

Key words: near surface wind speed')">

near surface wind speed, ITPCAS reanalyzed dataset, spatiotemporal variation, applicability analysis; China

张晓龙, 沈冰, 黄领梅.

基于ITPCAS再分析资料中国近地面风速时空变化特征 [J]. 干旱区研究, 2020, 37(1): 1-9.

ZHANG Xiao-long, SHEN Bing, HUANG Ling-mei. Spatiotemporal Variation of Near Surface Wind Speed over China Based on ITPCAS Reanalyzed Dataset[J]. Arid Zone Research, 2020, 37(1): 1-9.

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