Climate benchmarks and input parameters representing locations in 68 countries for a stochastic weather generator, CLIGEN

Fullhart, Andrew T.; Nearing, Mark A.; Armendariz, Gerardo; Weltz, Mark A.

doi:https://doi.org/10.5194/essd-13-435-2021

Articles | Volume 13, issue 2

https://doi.org/10.5194/essd-13-435-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-435-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 2

Data description paper

|

15 Feb 2021

Data description paper |

| 15 Feb 2021

Climate benchmarks and input parameters representing locations in 68 countries for a stochastic weather generator, CLIGEN

Andrew T. Fullhart, Mark A. Nearing, Gerardo Armendariz, and Mark A. Weltz

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Final revised paper (published on 15 Feb 2021)
Preprint (discussion started on 03 Sep 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'CLIGEN parameter values', Anonymous Referee #1, 13 Oct 2020
RC2: 'Global Climate parameters for CLIGEN', Anonymous Referee #2, 19 Oct 2020
AC1: 'Response to RC1 and RC2', andrew fullhart, 24 Nov 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by andrew fullhart on behalf of the Authors (24 Nov 2020) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (21 Dec 2020) by David Carlson

AR by andrew fullhart on behalf of the Authors (30 Dec 2020) Author's response Author's tracked changes Manuscript

ED: Publish as is (10 Jan 2021) by David Carlson

AR by andrew fullhart on behalf of the Authors (10 Jan 2021)

Short summary

This dataset represents CLIGEN input parameters for locations in 68 countries. CLIGEN is a point-scale stochastic weather generator that produces long-term weather simulations with daily output. The input parameters are essentially monthly climate statistics that also serve as climate benchmarks. CLIGEN has various applications including being used to force soil erosion models. This dataset may reduce the effort needed in preparing climate inputs for such applications.