Multi-level trend analysis of extreme climate indices by a novel hybrid method of fuzzy logic and innovative trend analysis
Abstract Multi-level trend analysis of extreme climate variables is an efficient method for in-depth investigation of the climate change impacts on ecohydrology. However, most of existing statistical methods do not reveal potential trends in different levels of data. In this study, a new approach na...
Saved in:
| Main Authors: | Fereshteh Modaresi, Ali Danandeh Mehr, Iman Sardarian Bajgiran, Mir Jafar Sadegh Safari |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-13177-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spatio-temporal Distribution Characteristics and Future Trend Analysis of Extreme Climate Indices in Nenjiang River Basin over the Past 60 Years
by: GONG Xiao, et al.
Published: (2025-07-01) -
Rule-Based Neutrosophic Triplet Refined Interval-Valued Data Partition Analyzing The Movement of Stock Market Price
by: S. Bhuvaneswari, et al.
Published: (2025-05-01) -
Innovative trend analysis of rainfall and temperature over Nubra Valley, Ladakh
by: AMBRISH, et al.
Published: (2025-06-01) -
Spatiotemporal analysis of CMIP6-based climate extremes and their implications for sustainable watershed management in the Gidabo watershed, Ethiopia
by: Degefu Dogiso, et al.
Published: (2025-08-01) -
Analysis of approaches to identification of trend in the structure of the time series
by: U. S. Mokhnatkina, et al.
Published: (2024-05-01)