BROWSE

Related Scientist

CCP's photo.

CCP
기후물리 연구단
more info

ITEM VIEW & DOWNLOAD

A New Perspective on Drought Propagation: Causality

Cited 0 time in webofscience Cited 0 time in scopus
206 Viewed 0 Downloaded
Title
A New Perspective on Drought Propagation: Causality
Author(s)
Shi, Haiyun; Zhao, Yiyang; Suning Liu; Cai, Hejiang; Zhou, Zhaoqiang
Publication Date
2022-01
Journal
Geophysical Research Letters, v.49, no.2
Publisher
John Wiley and Sons Inc
Abstract
© 2022. American Geophysical Union. All Rights Reserved.The essence of propagation from meteorological to hydrological drought is the cause-effect relationship between precipitation and runoff. This study challenged the reliability of applying linear or non-linear correlation (i.e., closeness/similarity, a non-directional scalar) to study drought propagation (i.e., causality, a directional vector). Meanwhile, in the field of hydrometeorology, causality analysis is burgeoning in model simulations, but still rare in analyzing the observations. Therefore, this study aims to provide a new perspective on drought propagation (i.e., causality) using convergent cross mapping (CCM) based on pure observations. Compared with the results in previous studies, the effectiveness of applying causality analysis in drought propagation study was proven, indicating that causality analysis would be more powerful than correlation analysis, especially for detecting drought propagation direction.
URI
https://pr.ibs.re.kr/handle/8788114/11181
DOI
10.1029/2021GL096758
ISSN
0094-8276
Appears in Collections:
Center for Climate Physics(기후물리 연구단) > 1. Journal Papers (저널논문)
Files in This Item:
There are no files associated with this item.

qrcode

  • facebook

    twitter

  • Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse