地外辐射预测模型数据

可以用于地外辐射,输入深层土壤含水量、温度、大气压亏缺、温度、光合光子通量密度、风速、浅层土壤含水量、相对湿度、短波入射辐射输出为地外辐射。该模型帮助解决了地外辐射和相关环境指标以及贝壳杉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地外辐射。该模型通过输入深层土壤含水量、温度、大气压亏缺、贝壳杉液流、光合光子通量密度、风速、浅层土壤含水量、相对湿度、短波入射辐射，来输出预测的地外辐射。

This dataset is applicable to extraterrestrial radiation prediction. It takes deep soil moisture content, temperature, atmospheric pressure deficit, temperature, photosynthetic photon flux density (PPFD), wind speed, shallow soil moisture content, relative humidity (RH), and shortwave incident radiation as inputs to generate extraterrestrial radiation outputs. This model solves the problem of modeling the relationship between extraterrestrial radiation, related environmental indicators, and kauri sap flow. Collected data were used to develop prediction models for extraterrestrial radiation via traditional algorithms including multiple linear regression. The model outputs predicted extraterrestrial radiation when fed with the following inputs: deep soil moisture content, temperature, atmospheric pressure deficit, kauri sap flow, photosynthetic photon flux density (PPFD), wind speed, shallow soil moisture content, relative humidity (RH), and shortwave incident radiation.

搜集汇总

数据集介绍

特点

地外辐射预测模型数据由杭州五舟长空科技有限公司提供，包含17570条记录，每年更新。数据集包括多种环境指标，如温度、大气压亏缺等，用于预测地外辐射，采用多元线性回归等算法进行建模。