天气风速预测模型数据

可以用于风速预测,输入短波入射辐射、铁杉树液流、湿度、温度、浅层土壤含水量、深层土壤含水量、地外辐射数据、降水量，大气压亏缺、光合光子通量密度，输出为风速。该模型帮助解决了风速和相关环境指标以及铁杉树液流的关系建模的问题。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风速。该模型通过输入短波入射辐射、铁杉树液流、湿度、温度、浅层土壤含水量、深层土壤含水量、地外辐射数据、降水量，大气压亏缺、光合光子通量密度数据，来输出预测的风速。

This dataset is designed for wind speed prediction, with input features including shortwave incident radiation, hemlock sap flow, humidity, temperature, shallow soil moisture content, deep soil moisture content, extraterrestrial radiation data, precipitation, atmospheric pressure deficit, and photosynthetic photon flux density, and the target output is wind speed. This model addresses the problem of modeling the correlations between wind speed, associated environmental metrics and hemlock sap flow. Collected datasets are employed with conventional algorithms such as multiple linear regression for wind speed prediction. The model generates predicted wind speed by inputting the above-mentioned feature set.

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提供，包含17569条数据，每年更新一次。数据集主要用于风速预测，输入包括短波入射辐射、铁杉树液流、湿度、温度、土壤含水量等多种环境指标，输出为预测风速。算法采用多元线性回归等传统方法，适用于农林牧渔业的风速预测场景。