The upper and middle reaches of the Yellow River are sensitive areas to climate change and key areas for ecological protection in China. Exploring the changes in extreme precipitation events in this region under the background of global warming is of great significance for ensuring regional ecological security and disaster prevention and reduction. This article is based on daily precipitation observation data from meteorological stations from 1961 to 2020. After data screening, quality testing, and outlier removal, 10 extreme precipitation indices were selected and calculated. The extreme precipitation index dataset for the upper and middle reaches of the Yellow River was obtained by time period and regional statistics. After quality control measures such as unit conversion, removal of missing data sites, interpolation of missing values, and data validation on time series and spatial patterns, the dataset has high accuracy and reliability. This dataset can be used to analyze the spatiotemporal characteristics of extreme precipitation events in the upper and middle reaches of the Yellow River and their response to climate change. It can also provide basic data support for evaluating water resource security and the risk of droughts and floods in the region
collect time | 1961/01/01 - 2020/12/31 |
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collect place | The middle and upper reaches of the Yellow River |
data size | 12.5 MiB |
data format | |
Coordinate system |
For the convenience of further processing and use, the dataset result file is stored in CSV format and named after the Chinese name of the extreme precipitation index. Each data file contains specific values of the extreme precipitation index at different time scales (year, reference period, nearest period, and full period) and spatial scales (each station, seven secondary water resource zones, upper reaches of the Yellow River, middle reaches of the Yellow River, and upper middle reaches of the Yellow River) p>
After data screening, quality testing, and outlier removal, the extreme precipitation index dataset for the upper and middle reaches of the Yellow River was obtained through time and regional statistics. After quality control measures such as unit conversion, removal of missing data sites, interpolation of missing values, and validation of time series and spatial pattern data, the dataset has high accuracy and reliability p>
To ensure the accuracy and reliability of the data, this dataset adopts quality control measures for both the data itself and the identification of extreme precipitation events. This is reflected in the following two aspects: firstly, in the process of organizing metadata, abnormal and special values are processed, and the data is unified into a common unit; Secondly, in the process of producing extreme precipitation indices, strict quality checks are conducted on the data through a combination of software automatic detection and manual verification p>
# | title | file size |
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1 | _ncdc_meta_.json | 6.3 KiB |
2 | 黄河中上游多时空极端降水指数数据集(1961-2020年) |
Extreme precipitation index multiple temporal and spatial scales upper and middle reaches of the Yellow River
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