CSTR:11738.11.ncdc.WRiver.2021.22
10.12072/ncdc.WRiver.db0024.2021
1. This data is collected from meteorological stations in Weihe River Basin, because some data of each station are not disclosed;
This data only includes 17 meteorological factors (average temperature (℃), daily maximum temperature (℃), daily minimum temperature (℃), cumulative precipitation from 20:00 to 20:00 (mm), and average wind speed (M / s) Maximum wind speed (M / s), average relative humidity (%), minimum relative humidity (%), sunshine hours (H), average surface temperature (℃), daily maximum surface temperature (℃), daily minimum surface temperature (℃), average station air pressure (HPA), daily maximum station air pressure (HPA), daily minimum station air pressure (HPA), small evaporation (mm), large evaporation (mm)). < p > 2. Manually collect 20 conventional meteorological stations; (Lintao, Huajialing, Dingbian, Wuqi, Guyuan, Huanxian, Yan'an, Xiji, Pingliang, Xifeng Town, Changwu, Luochuan, Min County, Tianshui Beidao District, Wugong, Yaoxian, Huashan, Foping, Shangzhou (county), Zhen'an). 3. By analyzing the current situation of climate change in the Weihe River Basin, it is found that a large number of meteorological laws contained in meteorological data can effectively predict the weather, systematically summarize the laws of climate change, take timely preventive measures against climate disasters, and provide decision-making basis for the development of characteristic crops in a region to meet people's needs of life practice and society Meeting the needs of the event.
The data comes from China Meteorological Administration and national greenhouse data system（ http://data.sheshiyuanyi.com/WeatherData/ ）。
Export manually and summarize to excel for integration.
The data of some years have the problem of data vacancy, and the quality of others is good.
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
