Abstract
Precipitation is one of the most difficult variables to simulate in a General Circulation Model and arguably one of the most important. The Atmospheric Model Intercomparison Project (AMIP) provides an opportunity to examine the simulation of precipitation in a wide array of models. Monthly precipitation fields produced by a subset of 19 currently available AMIP model experiments are evaluated for the tropical region using a land‐only observed dataset for the period 1980–1988. The models show large variations in their ability to reproduce observed tropical precipitation, although spatial correlations indicate that some of the models simulate the pattern of observed precipitation fields fairly well. The correlations are strongest during boreal winter (DJF) and weakest during the boreal summer (JJA). Comparison between model and observed precipitation time series for two Central Pacific locations show that most models are unable to reliably reproduce interannual precipitation variability in this region.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
