Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021

Name: Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021
Creator: Department of the Interior
Published: 2026-01-10T10:49:47+08:00

data.gov2026-01-10 收录

海洋盐度模拟

水文机器学习预测

数据链接：

https://catalog.data.gov/dataset/modeled-daily-salinity-derived-from-multiple-machine-learning-methodologies-for-91-salinit-ed0e6 数据链接链接失效反馈

官方服务：

资源简介：

This data release consists of statistical predictions of daily salinity time series generated from the makESTUSAL software repository described by Asquith and others...

本次数据发布内容包含由阿斯奎思（Asquith）等人所阐述的makESTUSAL软件仓库生成的每日盐度时间序列（daily salinity time series）统计预测结果……

提供机构：

Department of the Interior

Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021

资源简介：

相关数据集