Articles | Volume 10, issue 1
https://doi.org/10.5194/gmd-10-57-2017
https://doi.org/10.5194/gmd-10-57-2017
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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Cited articles

Bollasina, M. A. and Ming, Y.: The general circulation model precipitation bias over the southwestern equatorial Indian Ocean and its implications for simulating the South Asian monsoon, Clim. Dynam., 40, 823–838, 2013.
Brown, J. R., Jakob, C., and Haynes, J. M.: An evaluation of rainfall frequency and intensity over the Australian region in a global climate model, J. Climate, 23, 6504–6525, 2010.
Catto, J. L., Jakob, C., and Nicholls, N.: A global evaluation of fronts and precipitation in the ACCESS model, Aust. Meteorol. Oceanogr. Soc. J., 63, 191–203, 2013.
Dai, A.: Precipitation characteristics in eighteen coupled climate models, J. Climate, 19, 4606–4630, 2006.
Demory, M.-E., Vidale, P. L., Roberts, M. J., Berrisford, P., Strachan, J., Schiemann, R., and Mizielinski, M. S.: The role of horizontal resolution in simulating drivers of the global hydrological cycle, Clim. Dynam., 42, 2201–2225, 2014.
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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.