A Deep Learning–driven Decision Support System for characterization of probability distribution tails of hydrometeorological extremes

IF 5.2 2区环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Environmental Modelling & Software Pub Date : 2026-10-01 DOI:10.1016/j.envsoft.2026.107213

Sukhsehaj Kaur,Sagar Rohidas Chavan

引用次数: 0

查看原文本刊更多论文

水文气象极端事件概率分布尾特征的深度学习驱动决策支持系统

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Environmental Modelling & Software 工程技术-工程：环境

CiteScore

9.30

自引率

8.20%

发文量

241

审稿时长

60 days

期刊介绍： Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.