天气风速预测模型数据

可以用于天气风速预测,输入降水量、干球温度、相对湿度数据，输出为风速。该模型帮助解决了风速和降水量、干球温度、相对湿度关系建模的问题。将采集的数据使用传统算法，多元线性回归算法等方式以预测风速。该模型通过输入降水量、干球温度、相对湿度数据，来输出预测的风速。

This dataset is suitable for wind speed prediction in weather forecasting. It takes precipitation, dry-bulb temperature and relative humidity data as inputs, with the output being wind speed. This model addresses the problem of modeling the correlation between wind speed and these three meteorological factors: precipitation, dry-bulb temperature and relative humidity. Collected observational data is processed via traditional algorithms including multiple linear regression for wind speed prediction. The model accepts precipitation, dry-bulb temperature and relative humidity data as inputs to generate predicted wind speed values.

搜集汇总

数据集介绍

特点

该数据集名为“天气风速预测模型数据”，由杭州五舟长空科技有限公司申请，主要用于预测风速。数据集包含563360条记录，每年更新一次，应用场景为农、林、牧、渔业。数据通过多元线性回归等算法处理，输入降水量、干球温度、相对湿度，输出预测风速。