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Evaluation of Summer Monsoon Clouds over the Tibetan Plateau Simulated in the ACCESS Model Using Satellite Products
- Source :
- Advances in Atmospheric Sciences. 36:326-338
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Cloud distribution characteristics over the Tibetan Plateau in the summer monsoon period simulated by the Australian Community Climate and Earth System Simulator (ACCESS) model are evaluated using COSP [the CFMIP (Cloud Feedback Model Intercomparison Project) Observation Simulator Package]. The results show that the ACCESS model simulates less cumulus cloud at atmospheric middle levels when compared with observations from CALIPSO and CloudSat, but more ice cloud at high levels and drizzle drops at low levels. The model also has seasonal biases after the onset of the summer monsoon in May. While observations show that the prevalent high cloud at 9–10 km in spring shifts downward to 7–9 km, the modeled maximum cloud fractions move upward to 12–15 km. The reason for this model deficiency is investigated by comparing model dynamical and thermodynamical fields with those of ERA-Interim. It is found that the lifting effect of the Tibetan Plateau in the ACCESS model is stronger than in ERA-Interim, which means that the vertical velocity in the ACCESS model is stronger and more water vapor is transported to the upper levels of the atmosphere, resulting in more high-level ice clouds and less middle-level cumulus cloud over the Tibetan Plateau. The modeled radiation fields and precipitation are also evaluated against the relevant satellite observations.
- Subjects :
- Atmospheric Science
Ice cloud
geography
Plateau
geography.geographical_feature_category
010504 meteorology & atmospheric sciences
Cloud fraction
010502 geochemistry & geophysics
Monsoon
01 natural sciences
Cloud feedback
Atmosphere
Climatology
Environmental science
Drizzle
Precipitation
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 18619533 and 02561530
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- Advances in Atmospheric Sciences
- Accession number :
- edsair.doi...........082b8a2a85396a366a834e282b1cb7be
- Full Text :
- https://doi.org/10.1007/s00376-018-7301-9