天气干球温度预测模型数据

可以用于天气干球温度预测,输入降水量、风速、相对湿度数据，输出为干球温度。该模型帮助解决了干球温度和降水量、风速、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用于天气干球温度。该模型通过输入降水量、风速、相对湿度数据，来输出预测的干球温度。

This dataset is designed for weather dry-bulb temperature prediction, which takes precipitation, wind speed and relative humidity as inputs and outputs dry-bulb temperature. This model addresses the problem of modeling the relationship between dry-bulb temperature and the three meteorological factors including precipitation, wind speed and relative humidity. Collected observational data are utilized with traditional algorithms such as multiple linear regression to predict weather dry-bulb temperature. The model accepts precipitation, wind speed and relative humidity as inputs to generate predicted dry-bulb temperature values.

搜集汇总

数据集介绍

特点

该数据集名为“天气干球温度预测模型数据”，由杭州五舟长空科技有限公司提供，数据规模为563360条，每年更新一次。数据集主要用于预测天气干球温度，输入数据包括降水量、风速和相对湿度，输出为干球温度。应用场景涵盖农业、林业、牧业和渔业，采用多元线性回归等传统算法进行预测。