Articles | Volume 26, issue 19
https://doi.org/10.5194/hess-26-4823-2022
© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
Rainfall pattern analysis in 24 East Asian megacities using a complex network
Cited articles
APHRODITE’s Water Resources: APHRODITE, http://aphrodite.st.hirosaki-u.ac.jp/ (last access: 26 November 2019), 2012.
Akiyo, Y., Kenji, K., Osamu, A., Atsushi, H., Natsuko, Y., and Akio, K.: APHRODITE: Constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges, B. Am. Meteorol. Soc., 93, 1401–1415, https://doi.org/10.1175/BAMS-D-11-00122.1, 2012.
Bader, B. W., Harshman, R. A., and Kolda, T. G.: Temporal analysis of semantic graphs using ASALSAN, Seventh IEEE International Conference on Data Mining (ICDM 2007), Omaha, NE, USA, 33–42, https://doi.org/10.1109/ICDM.2007.54, 2007.
Barabási, A. L. and Albert, R.: Emergence of scaling in random networks, Science, 286, 509–512, https://doi.org/10.1126/science.286.5439.509, 1999.
Boers, N., Donner, R. V., Bookhagen, B., and Kurths, J.: Complex network analysis helps to identify impacts of the EL Niño Southern Oscillation on moisture divergence in South America, Clim. Dynam., 45, 619–632, https://doi.org/10.1007/s00382-014-2265-7, 2015.