Open Access
Issue
E3S Web Conf.
Volume 81, 2019
The 1st International Symposium on Water Resource and Environmental Management (WREM 2018)
Article Number 01002
Number of page(s) 8
DOI https://doi.org/10.1051/e3sconf/20198101002
Published online 30 January 2019
  1. V. Misra, S. DiNapoli, The variability of the Southeast Asian summer monsoon, Int. J. Climatol. 34(3): 893-901 (2014) [Google Scholar]
  2. P. Xavier, R. Rahmat, W.K. Cheong, E. Wallace, Influence of Madden-Julian Oscillation on Southeast Asia rainfall extremes: observations and predictability, Geophys. Res. Lett. 41(12): 4406-4412 (2014) [Google Scholar]
  3. E. Tyrlis, J. Lelieveld, B. Steil, The summer circulation over the eastern Mediterranean and the Middle East: influence of the South Asian monsoon, Clim. Dyn. 40(5-6): 1103-1123 (2013) [Google Scholar]
  4. T.A. Woldesenbet, N.A. Elagib, L. Ribbe, J. Heinrich, Gap filling and homogenization of climatological datasets in the headwater region of the Upper Blue Nile Basin, Ethiopia, Int. J. Clim. 37(4): 2122-2140 (2017) [CrossRef] [Google Scholar]
  5. M.H. Kashani, Y. Dinpashoh, Evaluation of efficiency of different estimation methods for missing climatological data, Stoch. Environ. Res. Risk Assess. 26(1): 59-71 (2012) [Google Scholar]
  6. R.S. Teegavarapu, A. Aly, C.S. Pathak, J. Ahlquist, H. Fuelberg, J. Hood, Infilling missing precipitation records using variants of spatial interpolation and data-driven methods: use of optimal weighting parameters and nearest neighbour-based corrections, Int. J. Clim. 38(2): 776-793 (2018) [CrossRef] [Google Scholar]
  7. P.V. Mandapaka, X. Qin, E.Y. Lo, Analysis of spatial patterns of daily precipitation and wet spell extremes in Southeast Asia, Int. J. Clim. 37(S1):1161-1179 (2017) [CrossRef] [Google Scholar]
  8. E.J. Besselaar Van den, G. Van der Schrier, R.C. Cornes, A.S. Iqbal, A.M. Klein Tank, SA-OBS: a daily gridded surface temperature and precipitation dataset for Southeast Asia, J. Clim. 30(14): 5151-5165 (2017) [Google Scholar]
  9. J. Sheffield, G. Goteti, E.F. Wood, Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling, J. Clim. 19(13): 3088-3111 (2006) [Google Scholar]
  10. A.M. El Kenawy, M.F. McCabe, A multi-decadal assessment of the performance of gauge-and model-based rainfall products over Saudi Arabia: climatology, anomalies and trends, Int. J. Clim. 36(2): 656-674 (2016) [CrossRef] [Google Scholar]
  11. A. Yatagai, K. Kamiguchi, O. Arakawa, A. Hamada, N. Yasutomi, A. Kitoh, APHRODITE: Constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges, Bull. Amer. Meteorol. Soc. 93(9):401-1415 (2012) [CrossRef] [Google Scholar]
  12. E. Sánchez, A. Avilés, E. Samaniego, Evaluation of infilling methods for time series of daily precipitation and temperature: The case of the Ecuadorian Andes, Maskana, 5(1): 99-115 (2014) [Google Scholar]
  13. M.T. Sattari, A. Rezazadeh-Joudi, A. Kusiak, Assessment of different methods for estimation of missing data in precipitation studies, Hydrol. Res. 48(4): 1032-1044 (2017) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.