TY  - JOUR
A1  - Agarwal, Ankit
A1  - Marwan, Norbert
A1  - Maheswaran, Rathinasamy
A1  - Merz, Bruno
A1  - Kurths, Jürgen
T1  - Quantifying the roles of single stations within homogeneous regions using complex network analysis
JF  - Journal of hydrology
N2  - Regionalization and pooling stations to form homogeneous regions or communities are essential for reliable parameter transfer, prediction in ungauged basins, and estimation of missing information. Over the years, several clustering methods have been proposed for regional analysis. Most of these methods are able to quantify the study region in terms of homogeneity but fail to provide microscopic information about the interaction between communities, as well as about each station within the communities. We propose a complex network-based approach to extract this valuable information and demonstrate the potential of our approach using a rainfall network constructed from the Indian gridded daily precipitation data. The communities were identified using the network-theoretical community detection algorithm for maximizing the modularity. Further, the grid points (nodes) were classified into universal roles according to their pattern of within- and between-community connections. The method thus yields zoomed-in details of individual rainfall grids within each community.
KW  - Complex network
KW  - Event synchronization
KW  - Rainfall network
KW  - Z-P approach
Y1  - 2018
U6  - https://doi.org/10.1016/j.jhydrol.2018.06.050
SN  - 0022-1694
SN  - 1879-2707
VL  - 563
SP  - 802
EP  - 810
PB  - Elsevier
CY  - Amsterdam
ER  -