Customized sea‐surface temperature indicators linking to streamflow at different timescales. (19th September 2022)
- Record Type:
- Journal Article
- Title:
- Customized sea‐surface temperature indicators linking to streamflow at different timescales. (19th September 2022)
- Main Title:
- Customized sea‐surface temperature indicators linking to streamflow at different timescales
- Authors:
- Ganapathy, Abinesh
Agarwal, Ankit - Abstract:
- Abstract: Investigation of SST–streamflow connectivity unravels the large‐scale climate influences that may have a potential role in modulating local hydrological components. Most studies exploring this relationship only focus on a single timescale; however, various atmospheric and oceanic phenomena occur at different temporal scales, which must be considered. This study examines the association of sea surface temperature (SST) and streamflow in Germany, divided into three regions, viz. Alpine, Atlantic and Continental, at timescales ranging from seasonal to interannual by integrating wavelet transform and complex network techniques. Wavelet transform is used to decompose the time series into multiple frequency signals. The network theory identifies the spatial connections for the 99 percentile correlation coefficient value based on these decomposed signals. The degree centrality metric is used to evaluate the characteristics of the spatially embedded networks. Our results re‐establish known SST regions that have a potential connection with the various streamflow regions of Germany. Spatial patterns that resemble the North Atlantic SST tripole‐like pattern is predominant for Alpine streamflow regions at finer timescale. Equatorial Atlantic Mode regions observed for Atlantic streamflow at interannual timescale and Vb weather system connected regions in the Mediterranean Sea have appeared for all the streamflow regions of Germany. Besides, continental streamflow regionsAbstract: Investigation of SST–streamflow connectivity unravels the large‐scale climate influences that may have a potential role in modulating local hydrological components. Most studies exploring this relationship only focus on a single timescale; however, various atmospheric and oceanic phenomena occur at different temporal scales, which must be considered. This study examines the association of sea surface temperature (SST) and streamflow in Germany, divided into three regions, viz. Alpine, Atlantic and Continental, at timescales ranging from seasonal to interannual by integrating wavelet transform and complex network techniques. Wavelet transform is used to decompose the time series into multiple frequency signals. The network theory identifies the spatial connections for the 99 percentile correlation coefficient value based on these decomposed signals. The degree centrality metric is used to evaluate the characteristics of the spatially embedded networks. Our results re‐establish known SST regions that have a potential connection with the various streamflow regions of Germany. Spatial patterns that resemble the North Atlantic SST tripole‐like pattern is predominant for Alpine streamflow regions at finer timescale. Equatorial Atlantic Mode regions observed for Atlantic streamflow at interannual timescale and Vb weather system connected regions in the Mediterranean Sea have appeared for all the streamflow regions of Germany. Besides, continental streamflow regions exhibited combined characteristics of the Alpine and Atlantic streamflow spatial patterns. In addition to the above regions, we also identify the scale‐specific patterns in the Pacific, Indian and Southern Ocean regions at different timescales. Abstract : Coupled wavelets and complex network approach exploring SST–streamflow connectivity. North Atlantic SST tripole‐like pattern emerges as a key region for all the German streamflow regimes. Equatorial Atlantic Mode at the interannual timescale has potential connection with the Atlantic and continental streamflow regions. Scale‐specific SST spatial patterns observed at the Indian Ocean and Pacific Ocean regions at different timescales. Continental streamflow regime comprises the characteristics of both Atlantic and Alpine streamflow regions. … (more)
- Is Part Of:
- International journal of climatology. Volume 42:Number 16(2022)
- Journal:
- International journal of climatology
- Issue:
- Volume 42:Number 16(2022)
- Issue Display:
- Volume 42, Issue 16 (2022)
- Year:
- 2022
- Volume:
- 42
- Issue:
- 16
- Issue Sort Value:
- 2022-0042-0016-0000
- Page Start:
- 9641
- Page End:
- 9655
- Publication Date:
- 2022-09-19
- Subjects:
- complex network -- SST–streamflow connectivity -- wavelets
Climatology -- Periodicals
Climat -- Périodiques
Climatologie -- Périodiques
551.605 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/joc.7853 ↗
- Languages:
- English
- ISSNs:
- 0899-8418
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.168000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 25997.xml