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Future Changes in Global Precipitation Projected by the Atmospheric Model MRI-AGCM 3 . 2 H with a 60km Size
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kusunoki, Shoji |
| Copyright Year | 2017 |
| Abstract | We conducted global warming projections using the Meteorological Research Institute-Atmospheric General Circulation Model Version 3.2 with a 60-km grid size (MRI-AGCM3.2H). For the present-day climate of 21 years from 1983 through 2003, the model was forced with observed historical sea surface temperature (SST). For the future climate of 21 years from 2079–2099, the model was forced with future SST projected by conventional couple models. Twelve-member ensemble simulations for three different cumulus convection schemes and four different SST distributions were conducted to evaluate the uncertainty of projection. Annual average precipitation will increase over the equatorial regions and decrease over the subtropical regions. The future precipitation changes are generally sensitive to the cumulus convection scheme, but changes are influenced by the SST over the some regions of the Pacific Ocean. The precipitation efficiency defined as precipitation change per 1◦ surface air temperature warming is evaluated. The global average of precipitation efficiency for annual average precipitation was less than the maximum value expected by thermodynamical theory, indicating that dynamical atmospheric circulation is acting to reduce the conversion efficiency from water vapor to precipitation. The precipitation efficiency by heavy precipitation is larger than that by moderate and weak precipitation. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.mdpi.com/2073-4433/8/5/93/pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Atmospheric model Blood Circulation Climate model Coefficient Convection Coupled model intercomparison project Cumulus EAP protocol Futures studies General circulation model Global Warming Interaction Large Less Than Mandibular right second molar tooth Mean squared error Projections and Predictions Protein Precipitation Simulation Tooth root structure Water Vapor vapor |
| Content Type | Text |
| Resource Type | Article |