학술논문

How can we benefit from regime information to make more effective use of long short-term memory (LSTM) runoff models?
Document Type
Article
Source
Hydrology & Earth System Sciences; 2022, Vol. 26 Issue 22, p5793-5816, 24p
Subject
RUNOFF models
CONCEPTUAL models
TRADITIONAL knowledge
TIME series analysis
HYDROLOGY
WATERSHEDS
Language
ISSN
10275606
Abstract
Copyright of Hydrology & Earth System Sciences is the property of Copernicus Gesellschaft mbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)