|Title||A Comparative Study of Atmospheric Moisture Recycling Rate between Observations and Models|
|Publication Type||Journal Article|
|Year of Publication||2018|
|Authors||Kao A., Jiang X., Li L.M, Trammell J.H, Zhang GJ, Su H., Jiang J.H, Yung Y.L|
|Journal||Journal of Climate|
|Type of Article||Article|
|Keywords||algorithm; circulation; climatology project gpcp; CMIP5; cycle; decades; itcz; Meteorology & Atmospheric Sciences; precipitation; variability|
Precipitation and column water vapor data from 13 CMIP5 models and observational datasets are used to analyze atmospheric moisture recycling rate from 1988 to 2008. The comparisons between observations and model simulations suggest that most CMIP5 models capture two main characteristics of the recycling rate: 1) long-term decreasing trend of the global-average maritime recycling rate (atmospheric recycling rate over ocean within 608S-608N) and 2) dominant spatial patterns of the temporal variations of the recycling rate (i.e., increasing in the intertropical convergence zone and decreasing in subtropical regions). All models, except one, successfully simulate not only the long-term trend but also the interannual variability of column water vapor. The simulations of precipitation are relatively poor, especially over the relatively short time scales, which lead to the discrepancy of the recycling rate between observations and the CMIP5 models. Comparisons of spatial patterns also suggest that the CMIP5 models simulate column water vapor better than precipitation. The comparative studies indicate the scope of improvement in the simulations of precipitation, especially for the relatively short-time-scale variations, to better simulate the recycling rate of atmospheric moisture, an important indicator of climate change.