Articles | Volume 12, issue 3
https://doi.org/10.5194/gmd-12-1189-2019
https://doi.org/10.5194/gmd-12-1189-2019
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

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (15 Jan 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (31 Jan 2019) by Jeffrey Neal
RR by Anonymous Referee #1 (01 Feb 2019)
RR by Anonymous Referee #2 (07 Feb 2019)
ED: Reconsider after major revisions (20 Feb 2019) by Jeffrey Neal
AR by Anna Wenzel on behalf of the Authors (26 Feb 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Feb 2019) by Jeffrey Neal
RR by Anonymous Referee #2 (13 Mar 2019)
ED: Publish subject to technical corrections (18 Mar 2019) by Jeffrey Neal
AR by Taesam Lee on behalf of the Authors (19 Mar 2019)  Author's response    Manuscript
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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.