While the model frequency distributions of heavy precipitation associated with deep convection are in reasonable agreement with observations, a systematic underestimate of the frequency of occurrence of light precipitation events (<1 mm/day) is present in almost all the AMIP models, especially over regions of the subtropics and extratropics where low clouds tend to persist.. This discrepancy is presumably related to the crude treatment of moist processes especially those related to low clouds in the models. Another common problem in the global rainfall distribution is the presence of spectral rain or spurious grid-point scale heavy rain. The artificial anchoring of rainfall to topographic features in the maritime continent appears to be a generic problem in many GCMs. Models differ substantially in the magnitude of the rainfall amount over the eastern Pacific ITCZ for all seasons. The simulated boreal summer rainfall distributions have large variability over the Indian subcontinent and Bay of Bengal . The northward migration of the monsoon convective zones are not well simulated. In particular, the East Asian monsoon rain band is ill-defined or absent over the subtropical western Pacific in all models.
On the interannual time scale, the models show a reasonable simulation of the fluctuations of the Southern Oscillation and the eastward migration of the major equatorial precipitation zone during ENSO. Most models show useful rainfall prediction skill in the tropics associated with ENSO-related SST forcing. However, the models do not show any useful skill for extratropical rainfall prediction from specified anomalous global SST forcing. Overall, the models depict a reasonably realistic annual cycle of water balance over regions where long-term local moisture balance is maintained, i.e., (P-E) ‰ 0, over large interior land regions in the extratropics. In regions of strong dynamic control, i.e., (P-E) >> 0, such as the tropical western Pacific, monsoon regions, and ITCZ, the inter-model variability is large.
The simulated water balance over large river basins have been evaluated
against hydrographic river discharge data using a river-routing model.
Results show that while the model ensemble mean run-offs are consistent
with the climatological observed river discharge for the Amazon and Mississippi,
the inter-model variability is substantial. The models yield even more
divergent results over other world river basins. These results suggest
that while some GCMs may have moderate capability in capturing some aspects
of the climatological variation of runoff, it is premature to use them
for climate studies related to continental scale water balance.