Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
GMD | Articles | Volume 12, issue 3
Geosci. Model Dev., 12, 1189–1207, 2019
https://doi.org/10.5194/gmd-12-1189-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 12, 1189–1207, 2019
https://doi.org/10.5194/gmd-12-1189-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 28 Mar 2019

Model description paper | 28 Mar 2019

Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change

Taesam Lee and Vijay P. Singh

Related authors

Identification of Hotspots of Rainfall Variation Sensitive to Indian Ocean Dipole Mode through Intentional Statistical Simulations
Jong-Suk Kim, Phetlamphanh Xaiyaseng, Lihua Xiong, Sun-Kwon Yoon, and Taesam Lee
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-217,https://doi.org/10.5194/hess-2019-217, 2019
Publication in HESS not foreseen
Short summary
Climate change inspector with intentionally biased bootstrapping (CCIIBB ver. 1.0) – methodology development
Taesam Lee
Geosci. Model Dev., 10, 525–536, https://doi.org/10.5194/gmd-10-525-2017,https://doi.org/10.5194/gmd-10-525-2017, 2017
Short summary
Investigation of hydrological variability in the Korean Peninsula with the ENSO teleconnections
Sunkwon Yoon and Taesam Lee
Proc. IAHS, 374, 165–173, https://doi.org/10.5194/piahs-374-165-2016,https://doi.org/10.5194/piahs-374-165-2016, 2016

Related subject area

Hydrology
TIER version 1.0: an open-source Topographically InformEd Regression (TIER) model to estimate spatial meteorological fields
Andrew J. Newman and Martyn P. Clark
Geosci. Model Dev., 13, 1827–1843, https://doi.org/10.5194/gmd-13-1827-2020,https://doi.org/10.5194/gmd-13-1827-2020, 2020
Short summary
Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0)
Zhen Yin, Sebastien Strebelle, and Jef Caers
Geosci. Model Dev., 13, 651–672, https://doi.org/10.5194/gmd-13-651-2020,https://doi.org/10.5194/gmd-13-651-2020, 2020
Short summary
glmGUI v1.0: an R-based graphical user interface and toolbox for GLM (General Lake Model) simulations
Thomas Bueche, Marko Wenk, Benjamin Poschlod, Filippo Giadrossich, Mario Pirastru, and Mark Vetter
Geosci. Model Dev., 13, 565–580, https://doi.org/10.5194/gmd-13-565-2020,https://doi.org/10.5194/gmd-13-565-2020, 2020
Short summary
The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview
Christopher B. Marsh, John W. Pomeroy, and Howard S. Wheater
Geosci. Model Dev., 13, 225–247, https://doi.org/10.5194/gmd-13-225-2020,https://doi.org/10.5194/gmd-13-225-2020, 2020
Short summary
Solver for Hydrologic Unstructured Domain (SHUD): Numerical modeling of watershed hydrology with the finite volume method
Lele Shu, Paul A. Ullrich, and Christopher J. Duffy
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-354,https://doi.org/10.5194/gmd-2019-354, 2020
Preprint under review for GMD
Short summary

Cited articles

Apipattanavis, S., Podesta, G., Rajagopalan, B., and Katz, R. W.: A semiparametric multivariate and multisite weather generator, Water Resour. Res., 43, W11401, https://doi.org/10.1029/2006WR005714, 2007. 
Beersma, J. J. and Buishand, A. T.: Multi-site simulation of daily precipitation and temperature conditional on the atmospheric circulation, Clim. Res., 25, 121–133, 2003. 
Brandsma, T. and Buishand, T. A.: Simulation of extreme precipitation in the Rhine basin by nearest-neighbour resampling, Hydrol. Earth Syst. Sci., 2, 195–209, https://doi.org/10.5194/hess-2-195-1998, 1998. 
Buishand, T. A. and Brandsma, T.: Multisite simulation of daily precipitation and temperature in the Rhine basin by nearest-neighbor resampling, Water Resour. Res., 37, 2761–2776, 2001. 
Chau, K. W.: Use of meta-heuristic techniques in rainfall-runoffmodelling, Water (Switzerland), 9, 186, https://doi.org/10.3390/w9030186, 2017. 
Publications Copernicus
Download
Short summary
A simple novel technique for simulating multisite occurrence of precipitation is proposed. The proposed technique employs the nonparametric approaches k-nearest neighbor and genetic algorithms. We tested this technique in various ways and proved that this simple technique can be useful and comparable to the existing one.
A simple novel technique for simulating multisite occurrence of precipitation is proposed. The...
Citation