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Updated: Jun 13, 2025

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评估基于机器学习的缩放框架,以从GPM数据中获得1公里的每日降水量

Tao Sun1, Nana Yan2, Weiwei Zhu2

  • 1College of Geomatics Science and Technology, Nanjing Tech University, Nanjing, 211816, China.

Heliyon
|September 17, 2024
PubMed
概括

这项研究使用机器学习开发了用于干旱地区的高分辨率降水数据集. 极端梯度提升 (XGBoost) 模型显著提高了准确性,为水文分析提供了有价值的工具.

关键词:
缩小规模化的框架.特性因素是一个特征因素.机器学习 机器学习时间空间缩小缩小缩小.

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