Autor: |
Yihao MA, Rui MAO, Yang YANG, Li MA, Shang GOU |
Jazyk: |
čínština |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Gaoyuan qixiang, Vol 42, Iss 1, Pp 210-220 (2023) |
Druh dokumentu: |
article |
ISSN: |
1000-0534 |
DOI: |
10.7522/j.issn.1000-0534.2022.00030 |
Popis: |
In order to explore the reanalysis data of ERA5's ability to reproduce wind speed in the surface layer of Gansu Province, this paper uses the surface wind speed data of 80 national meteorological stations in Gansu Province from 1981 to 2020 to analyze the wind speed changes in Gansu Province in the past 40 years, by comparing the similarities and differences between the fifth set of European Center for Mid-range Weather Forecast (ERA5) and the change trend of observational data, its ability to reproduce the surface wind speed in Gansu province is discussed.The result shows: The average surface wind speed in the four seasons in Gansu Province gradually decreases from west to east, the season with the highest surface wind speed is spring, and the seasons with low wind speed vary in different regions; The change of surface wind speed in the past 40 years has generally stabilized, However, the spring wind speed at each site mainly showed a significant downward trend, and the other three seasons mostly showed an upward trend; Before the early 1990s, the average wind speed in the four seasons showed a decreasing trend, with the strongest change trend in spring and the weakest change trend in autumn, after that, it turned to a stable change or an upward trend, and the upward trend of wind speed in winter and summer was stronger.The ERA5 reanalysis data has good reproducibility for the inter month variation of wind speed and main seasonal characteristics in Gansu Province, but poor reproducibility for the seasonal average wind speed value and long-term variation trend of wind speed, and it only performs well in the period of wind speed decline, and the ERA5 wind speed data does not have the ability to reproduce the long-term trend of wind speed in Gansu Province in each season; The ERA5 reanalysis data cannot be directly used to estimate the wind energy density in Gansu Province, but after correcting the linear deviation, it has a good reproducibility in terms of the multi-year average value of wind energy density. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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