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

Viewed

Total article views: 923 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
668 234 21 923 89 24 23
  • HTML: 668
  • PDF: 234
  • XML: 21
  • Total: 923
  • Supplement: 89
  • BibTeX: 24
  • EndNote: 23
Views and downloads (calculated since 12 Oct 2018)
Cumulative views and downloads (calculated since 12 Oct 2018)

Viewed (geographical distribution)

Total article views: 798 (including HTML, PDF, and XML) Thereof 794 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

No saved metrics found.

Saved (preprint)

No saved metrics found.

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

No discussed metrics found.
Latest update: 28 May 2020
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