ASoP (v1.0): a set of methods for analyzing scales of precipitation in general circulation models

Klingaman, Nicholas P.; Martin, Gill M.; Moise, Aurel

doi:https://doi.org/10.5194/gmd-10-57-2017

Articles | Volume 10, issue 1

https://doi.org/10.5194/gmd-10-57-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-10-57-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 1

Methods for assessment of models

|

05 Jan 2017

Methods for assessment of models |

| 05 Jan 2017

ASoP (v1.0): a set of methods for analyzing scales of precipitation in general circulation models

Nicholas P. Klingaman, Gill M. Martin, and Aurel Moise

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Final revised paper (published on 05 Jan 2017)
Preprint (discussion started on 15 Aug 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Christian Jakob, 15 Sep 2016
- AC1: 'Response to Review by Christian Jakob', Nicholas Klingaman, 23 Nov 2016
RC2: 'Review', Anonymous Referee #2, 13 Oct 2016
- AC2: 'Response to comments by Anonymous Referee #2', Nicholas Klingaman, 23 Nov 2016

Peer-review completion

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

AR by Nicholas Klingaman on behalf of the Authors (23 Nov 2016) Author's response Manuscript

ED: Publish as is (08 Dec 2016) by Paul Ullrich

Short summary

Weather and climate models show large errors in the frequency, intensity and persistence of daily rainfall, particularly in the tropics. We introduce a set of diagnostics to reveal the spatial and temporal scales of precipitation in models and compare them to satellite observations to inform development efforts. Although models show similar errors in 3 h precipitation, at the time step and gridpoint level some produce coherent precipitation and others exhibit worrying quasi-random behavior.