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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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GMD | Articles | Volume 11, issue 10
Geosci. Model Dev., 11, 4195-4214, 2018
https://doi.org/10.5194/gmd-11-4195-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 4195-4214, 2018
https://doi.org/10.5194/gmd-11-4195-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Methods for assessment of models 16 Oct 2018

Methods for assessment of models | 16 Oct 2018

(GO)2-SIM: a GCM-oriented ground-observation forward-simulator framework for objective evaluation of cloud and precipitation phase

Katia Lamer et al.
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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 Katia Lamer on behalf of the Authors (06 Sep 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (14 Sep 2018) by Klaus Gierens
AR by Katia Lamer on behalf of the Authors (14 Sep 2018)  Author's response    Manuscript
ED: Publish as is (17 Sep 2018) by Klaus Gierens
Post-review adjustments
AA: Author's adjustment | EA: Editor approval
AA by Katia Lamer on behalf of the Authors (10 Oct 2018)   Author's adjustment   Manuscript
EA: Adjustments approved (11 Oct 2018) by Klaus Gierens
Publications Copernicus
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Short summary
Weather and climate predictions of cloud, rain, and snow occurrence remain uncertain, in part because guidance from observation is incomplete. We present a tool that transforms predictions into observations from ground-based remote sensors. Liquid water and ice occurrence errors associated with the transformation are below 8 %, with ~ 3 % uncertainty. This (GO)2-SIM forward-simulator tool enables better evaluation of cloud, rain, and snow occurrence predictions using available observations.
Weather and climate predictions of cloud, rain, and snow occurrence remain uncertain, in part...
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